<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD with OASIS Tables with MathML3 v1.1 20151215//EN" "JATS-journalpublishing-oasis-article1-mathml3.dtd">
<article article-type="research-article" dtd-version="1.1" xml:lang="en" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">SCIMAR</journal-id>
			<journal-title-group>
				<journal-title>Scientia Marina</journal-title>
				<abbrev-journal-title abbrev-type="publisher">Sci. Mar.</abbrev-journal-title>
			</journal-title-group>
			<issn publication-format="print">0214-8358</issn>
			<issn publication-format="electronic">1886-8134</issn>
			<publisher>
				<publisher-name>Consejo Superior de Investigaciones Cient&#xed;ficas</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="publisher-id">scimar.05287.046</article-id>
			<article-id pub-id-type="doi">10.3989/scimar.05287.046</article-id>
			<article-categories>
				<subj-group subj-group-type="category-toc-heading">
					<subject>Iberoamerican fisheries and fish reproductive ecology</subject>
				</subj-group>
				<subj-group subj-group-type="heading">
					<subject>Art&#xed;culos</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Assessing changes in size at maturity for the European hake (<italic>Merluccius merluccius</italic>) in Atlantic Iberian Waters</article-title>
				<trans-title-group xml:lang="es">
					<trans-title>Evaluaci&#xf3;n de los cambios en la talla de madurez de la merluza europea (<italic>Merluccius merluccius</italic>) en las aguas atl&#xe1;nticas ib&#xe9;ricas</trans-title>
				</trans-title-group>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author" corresp="yes">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1145-9776</contrib-id>
					<name>
						<surname>Lojo</surname>
						<given-names>Davinia</given-names>
					</name>
					<email xlink:href="Dlojo@cetmar.org">Dlojo@cetmar.org</email>
					<aff id="aff1"><institution>Centro Tecnol&#xf3;gico del Mar</institution>-<institution content-type="foundation">Fundaci&#xf3;n CETMAR</institution>, <addr-line>C/Eduardo Cabello s/n, 36208 Vigo, Pontevedra</addr-line>, <country>Spain</country>.</aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4587-8808</contrib-id>
					<name>
						<surname>Cousido-Rocha</surname>
						<given-names>Marta</given-names>
					</name>
					<email xlink:href="marta.cousido@ieo.es">marta.cousido@ieo.es</email>
					<aff id="aff2"><institution>Instituto Espa&#xf1;ol de Oceanograf&#xed;a</institution> (IEO-<institution content-type="council">CSIC</institution>), <institution content-type="research-center">Centro Oceanogr&#xe1;fico de Vigo</institution>, <addr-line>Subida a Radio Faro, 50-52. 36390 Vigo, Pontevedra</addr-line>, <country>Spain</country>.</aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4146-0890</contrib-id>
					<name>
						<surname>Cervi&#xf1;o</surname>
						<given-names>Santiago</given-names>
					</name>
					<email xlink:href="santiago.cervino@ieo.es">santiago.cervino@ieo.es</email>
					<aff id="aff3"><institution>Instituto Espa&#xf1;ol de Oceanograf&#xed;a</institution> (IEO-<institution content-type="council">CSIC</institution>), <institution content-type="research-center">Centro Oceanogr&#xe1;fico de Vigo</institution>, <addr-line>Subida a Radio Faro, 50-52. 36390 Vigo, Pontevedra</addr-line>, <country>Spain</country>.</aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1731-6848</contrib-id>
					<name>
						<surname>Dominguez-Petit</surname>
						<given-names>Rosario</given-names>
					</name>
					<email xlink:href="rosario.dominguez@ieo.es">rosario.dominguez@ieo.es</email>
					<aff id="aff4"><institution>Instituto Espa&#xf1;ol de Oceanograf&#xed;a</institution> (IEO-<institution content-type="council">CSIC</institution>), <institution content-type="research-center">Centro Oceanogr&#xe1;fico de Vigo</institution>, <addr-line>Subida a Radio Faro, 50-52. 36390 Vigo, Pontevedra</addr-line>, <country>Spain</country>.</aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1432-1123</contrib-id>
					<name>
						<surname>Sainza</surname>
						<given-names>Mar&#xed;a</given-names>
					</name>
					<email xlink:href="maria.sainza@ieo.es">maria.sainza@ieo.es</email>
					<aff id="aff5"><institution>Instituto Espa&#xf1;ol de Oceanograf&#xed;a</institution> (IEO-<institution content-type="council">CSIC</institution>), <institution content-type="research-center">Centro Oceanogr&#xe1;fico de Vigo</institution>, <addr-line>Subida a Radio Faro, 50-52. 36390 Vigo, Pontevedra</addr-line>, <country>Spain</country>.</aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7577-2617</contrib-id>
					<name>
						<surname>Grazia Pennino</surname>
						<given-names>Maria</given-names>
					</name>
					<email xlink:href="grazia.pennino@ieo.es">grazia.pennino@ieo.es</email>
					<aff id="aff6"><institution>Instituto Espa&#xf1;ol de Oceanograf&#xed;a</institution> (IEO-<institution content-type="council">CSIC</institution>), <institution content-type="research-center">Centro Oceanogr&#xe1;fico de Vigo</institution>, <addr-line>Subida a Radio Faro, 50-52. 36390 Vigo, Pontevedra</addr-line>, <country>Spain</country>.</aff>
				</contrib>
				<contrib contrib-type="editor">
					<name>
						<surname>Bahamon</surname>
						<given-names>N.</given-names>
					</name>
				</contrib>
				<contrib contrib-type="editor">
					<name>
						<surname>Dom&#xed;nguez-Petit</surname>
						<given-names>R.</given-names>
					</name>
				</contrib>
				<contrib contrib-type="editor">
					<name>
						<surname>Paramo</surname>
						<given-names>J.</given-names>
					</name>
				</contrib>
				<contrib contrib-type="editor">
					<name>
						<surname>Saborido-Rey</surname>
						<given-names>F.</given-names>
					</name>
				</contrib>
				<contrib contrib-type="editor">
					<name>
						<surname>Acero P.</surname>
						<given-names>A.</given-names>
					</name>
				</contrib>
			</contrib-group>
			<pub-date pub-type="epub">
				<day>02</day>
				<month>11</month>
				<year>2022</year>
			</pub-date>
			<pub-date pub-type="collection">
				<month>12</month>
				<year>2022</year>
			</pub-date>
			<volume>86</volume>
			<issue>4</issue>
			<elocation-id>e046</elocation-id>
			<history>
				<date date-type="received">
					<day>30</day>
					<month>03</month>
					<year>2022</year>
				</date>
				<date date-type="accepted">
					<day>29</day>
					<month>08</month>
					<year>2022</year>
				</date>
				<date date-type="pub">
					<day>17</day>
					<month>11</month>
					<year>2022</year>
				</date>
			</history>
			<permissions>
				<copyright-statement>&#xa9; 2022 CSIC</copyright-statement>
				<copyright-year>2022</copyright-year>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
					<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License.</license-p>
				</license>
			</permissions>
			<self-uri xlink:href="http://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/XXXX/XXXX"/>
			<abstract>
				<title>Summary</title>
				<p>European hake (<italic>Merluccius merluccius</italic>) is a commercially important resource in Iberian Atlantic waters. Despite the recovery plan implemented in 2006 and the multiannual management plan for western waters, fishing mortality is still higher than that corresponding to the maximum sustainable yield for the southern European hake stock. The biological processes underlying the dynamics of this stock and its life history traits are essential for assessing population productivity and resilience, making them basic information for management. We analysed the temporal variability of size at maturity (L<sub>50</sub>) of this species and the main factors influencing it in Atlantic Iberian waters from 1982 to 2019. The annual variability of L<sub>50</sub> for each sex was modelled with generalized additive models, considering explanatory environmental variables (Atlantic Multidecadal Oscillation, North Atlantic Oscillation and sea surface temperature) and biological variables (biomass, spawning biomass at length and relative condition factor). The results showed that the L<sub>50</sub> of males decreased by a total of 12.9 cm and L<sub>50</sub> of females decreased by a total of 10.9 cm from 1982 to 2019. For females the significant explanatory variables were year, spawning biomass at length, biomass and the North Atlantic Oscillation, while for males only year was an explanatory variable. These results are important for understanding the status of the European hake population, signalling that L<sub>50</sub> is a good indicator for predicting future population dynamics.</p>
			</abstract>
			<trans-abstract xml:lang="es">
				<title>Resumen</title>
				<p>La merluza europea (<italic>Merluccius merluccius</italic>) es un recurso comercialmente importante en aguas Atl&#xe1;nticas Ib&#xe9;ricas. A pesar del plan de recuperaci&#xf3;n puesto en marcha en 2006 y del plan de gesti&#xf3;n plurianual de las aguas occidentales, la mortalidad por pesca sigue siendo superior a la correspondiente al rendimiento m&#xe1;ximo sostenible de la poblaci&#xf3;n de merluza del sur de Europa. Comprender los procesos biol&#xf3;gicos que subyacen a la din&#xe1;mica de este stock y proporcionar informaci&#xf3;n sobre los rasgos de la historia de vida es fundamental para evaluar la productividad y la resiliencia de la poblaci&#xf3;n, convirti&#xe9;ndolos en informaci&#xf3;n b&#xe1;sica para la gesti&#xf3;n. Analizamos la variabilidad temporal de la talla de madurez (L<sub>50</sub>) y los principales factores que influyen en ella, desde 1982 hasta 2019 en aguas Atl&#xe1;nticas Ib&#xe9;ricas. La variabilidad anual de L<sub>50</sub> para cada sexo se model&#xf3; con Modelos Aditivos Generalizados considerando variables ambientales explicativas (Oscilaci&#xf3;n Multidecadal del Atl&#xe1;ntico, Oscilaci&#xf3;n del Atl&#xe1;ntico Norte y Temperatura Superficial del Mar), y variables biol&#xf3;gicas (biomasa, biomasa reproductora por talla y factor de condici&#xf3;n relativo). Los resultados mostraron que la de los machos disminuy&#xf3; en un total de 12,9 cm y la L<sub>50</sub> de las hembras disminuy&#xf3; en un total de 10,9 cm de 1982 a 2019. Para las hembras las variables explicativas significativas fueron a&#xf1;o, biomasa de desove por talla, biomasa y NAO, mientras que para los machos solo el a&#xf1;o. Estos resultados son importantes para comprender el estado de la poblaci&#xf3;n de merluza europea, lo que destaca que la L<sub>50</sub> es un buen indicador para predecir la din&#xe1;mica futura de la poblaci&#xf3;n.</p>
			</trans-abstract>
			<kwd-group>
				<kwd>North Atlantic Oscillation</kwd>
				<kwd>life history</kwd>
				<kwd>reproductive traits</kwd>
				<kwd>relative condition factor</kwd>
				<kwd>southern European stock</kwd>
			</kwd-group>
			<kwd-group xml:lang="es">
				<kwd>Oscilaci&#xf3;n del Atl&#xe1;ntico Norte</kwd>
				<kwd>historia de vida</kwd>
				<kwd>rasgos reproductivos</kwd>
				<kwd>factor de condici&#xf3;n relativa</kwd>
				<kwd>poblaci&#xf3;n del sur de Europa</kwd>
			</kwd-group>
			<funding-group id="fw-01">
				<award-group id="aw1">
					<funding-source>Ministry of Science, Innovation and Universities</funding-source>
					<funding-source>State Research Agency</funding-source>
					<award-id>RTI2018-099868-B-I00</award-id>
				</award-group>
				<award-group id="aw2">
					<funding-source>European Union</funding-source>
					<funding-source>European Maritime and Fisheries Fund (EMFF)</funding-source>
				</award-group>
				<funding-statement>This study is a contribution to the IMPRESS (RTI2018-099868-B-I00) project, ERDF, Ministry of Science, Innovation and Universities - State Research Agency. Data were provided by samplings of commercial fleets that were co-funded by the European Union through the European Maritime and Fisheries Fund (EMFF) within the national programme of collection, management and use of data in the fisheries sector and support for scientific advice regarding the Common Fisheries Policy.</funding-statement>
			</funding-group>
			<counts>
				<fig-count count="11"/>
				<table-count count="9"/>
				<equation-count count="5"/>
				<ref-count count="57"/>
				<page-count count="16"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec id="sec1" sec-type="intro">
			<title>Introduction</title>
			<p>Life history parameters, and in particular reproductive traits such as spawning cycle, size and age at maturity, fecundity and spawning potential are the basis for assessing the productivity and resilience of fish stocks, making them essential information for stock assessment and management (<xref ref-type="bibr" rid="B8">Dominguez-Petit et al. 2008</xref>). The estimation of the size at which 50% of individuals are mature (L<sub>50</sub>) can be used to define the minimum legal landing size for exploited stocks. However, in most stock assessments the causes of L<sub>50</sub> variability are not analysed, though there are intrinsic and extrinsic factors affecting maturity that may act at a temporal scale (<xref ref-type="bibr" rid="B34">Lorenzen and Camp 2019</xref>). Size and age at maturity are especially sensitive to population abundance (<xref ref-type="bibr" rid="B8">Dominguez-Petit et al. 2008</xref>, <xref ref-type="bibr" rid="B34">Lorenzen and Camp 2019</xref>) owing to density-dependent effects. When stock size decreases, individuals tend to mature at large sizes and early ages because of compensatory growth (<xref ref-type="bibr" rid="B2">Ali et al. 2003</xref>). However, some environmental and anthropogenic drivers, including high rates of fishing mortality, may also impact on size at maturity (<xref ref-type="bibr" rid="B47">Pepin 2015</xref>). Moreover, when the effects of these drivers are intense and/or sustained over a long period of time, they could lead to evolutionary changes because of the selection of certain genotypes (<xref ref-type="bibr" rid="B22">Hollins et al. 2018</xref>). Subsequently, understanding mechanisms driving maturity variability within species could provide preliminary evidence of the species&#x2019;s adaptability to climate change (<xref ref-type="bibr" rid="B6">Dalgleish et al. 2010</xref>), habitat degradation (<xref ref-type="bibr" rid="B42">&#xd6;ckinger et al. 2010</xref>) and overfishing (<xref ref-type="bibr" rid="B21">Hobday et al. 2011</xref>).</p>
			<p>
				<xref ref-type="bibr" rid="B4">Barot et al. (2004)</xref> identified a downward shift in size at maturity in the Georges Bank Atlantic cod (<italic>Gadus morhua</italic>) that supports the hypothesis that an evolutionary change, likely caused by high fishing mortality, is partially responsible for the observed decline in age and size at maturity in these cod stocks (<xref ref-type="bibr" rid="B44">Olsen et al. 2005</xref>). Regardless of the causes of variation in maturation, size and age at maturity can have significant effects on the reproductive performance of the stock by regulating its reproductive potential. For example, fecundity and the quality and viability of eggs and larvae are directly related to the size of spawning females (<xref ref-type="bibr" rid="B52">Trippel et al. 1997</xref>, <xref ref-type="bibr" rid="B36">Marteinsdottir and Begg 2002</xref>). The extent to which these effects may extend over several generations and affect the adaptive capacity of populations is not yet well understood, although understanding these processes is critical to comprehending stock dynamics.</p>
			<p>European hake (<italic>Merluccius merluccius</italic>) is a resource of great commercial importance in Atlantic Iberian waters. This species is assessed by the International Council for the Exploration of the Sea (ICES) in two units: the northern and the southern stocks (<xref ref-type="bibr" rid="B24">ICES 2021</xref>). The southern stock, which is the object of this study, is distributed in the Atlantic Iberian waters that correspond to ICES divisions 27.8.c and 27.9.a. Though this stock has been subjected to a recovery plan since 2006 and the multiannual management plan for Western Waters, fishing mortality is still above that corresponding to the maximum sustainable yield (F<sub>msy</sub>) (<xref ref-type="bibr" rid="B24">ICES 2021</xref>). For this stock, the main indicator of stock status is the spawning stock biomass, which is calculated as numbers, mean weight and proportion of mature fish. The proportion of mature fish was established for the entire study period (1982-2019) by estimating annual maturity ogives for both sexes combined based on macroscopic observations of hake specimens, although a time-constant female-only maturity ogive was used from 2020 onwards owing to the change of the assessment model. The impact of using different reproductive potential metrics (combined vs only female) was evaluated by <xref ref-type="bibr" rid="B5">Cervi&#xf1;o et al. (2013)</xref> for this stock, showing that, although the absolute values change, their impact on the management recommendations is slight because the reference points also change in the same direction.</p>
			<p>Several studies have analysed the size at maturity of this stock (<xref ref-type="bibr" rid="B8">Dominguez-Petit et al. 2008</xref>, <xref ref-type="bibr" rid="B39">Murua 2010</xref>), but generally only for females and never for the two sexes separated. The objective of this study was to provide information on size at maturity for the period 1982-2019 in order to corroborate the decreasing trend of the L<sub>50</sub> in this stock for each sex and to determine which factors explain this trend. Understanding which factors influence the size at maturity of the southern European hake stock can contribute to better assessment and management. To this end, we first estimated the size at maturity of the European hake for each sex in Atlantic Iberian waters from 1982 to 2019. Second, the variability of the L<sub>50</sub> for each sex was modelled with generalized additive models, considering as explanatory variables environmental factors (Atlantic Multidecadal Oscillation, North Atlantic Oscillation and sea surface temperature), and biological variables (biomass, spawning biomass at length and relative factor condition) to test density-dependent effects and the year to assess the interannual variations.</p>
		</sec>
		<sec id="sec2" sec-type="materials|methods">
			<title>Materials and methods</title>
			<sec id="sec2.1">
				<title>European hake data</title>
				<p>Length and weight measurements were taken from historical records collected by the commercial sampling programme of the Spanish Institute of Oceanography (IEO) on a monthly basis between 1982 and 2019 from bottom trawlers that operate in the Atlantic Iberian waters, ICES divisions 27.8.c and 27.9.a. A total of 27692 hake specimens were sampled, from which individuals&#x2019; length and weight (total and gutted), maturity stage and sex were recorded. Both maturity and sex, were assessed based on macroscopic observations. Of the 27692 hake specimens, the majority (56%) were females. In addition, the majority of the specimens sampled (54%) were mature. Cross-referencing these variables (sex and maturity stage), the data indicate that 63% of the males and 46% of the females were mature.</p>
				<p>In addition, 90% of the hake specimens were caught in division 27.9.a versus 10% in 27.8.c, which indicates that the data were not proportional by area. Also, data are not available in certain months for each year throughout the study period (For more details, see <xref ref-type="table" rid="ts1">Table S1</xref>), which makes monthly analysis difficult. To avoid influence of these biases on analyses results, both areas (27.8.c and 27.9.a) were considered together and year was used as a temporal variable.</p>
				<p>Owing to its complexity, dealing with a large amount of data coming from different sources of information is not exempt from human error. To avoid this, a thorough review of the matrix was carried out to ensure data consistency. Finally, to test for density-dependent effects, we included data on the total biomass (in tonnes) and spawning stock biomass (SSB, in tonnes) at length of the European hake for the study period, obtained from the data compiled by the ICES Working Group for the Bay of Biscay and the Iberian Waters Ecoregion (WGBIE) (<xref ref-type="bibr" rid="B23">ICES 2019</xref>) for assessment purposes.</p>
			</sec>
			<sec id="sec2.2">
				<title>Size at maturity</title>
				<p>The percentage of mature females for every length class was fitted to a logistic equation as described by <xref ref-type="bibr" rid="B3">Ashton (1972)</xref>:</p>
				<disp-formula id="e1">
					<mml:math id="mml-1">
						<mml:mi>P</mml:mi>
						<mml:mi>L</mml:mi>
						<mml:mo>=</mml:mo>
						<mml:mfrac>
							<mml:mrow>
								<mml:mn>1</mml:mn>
							</mml:mrow>
							<mml:mrow>
								<mml:mn>1</mml:mn>
								<mml:mo>+</mml:mo>
								<mml:msup>
									<mml:mrow>
										<mml:mi>e</mml:mi>
									</mml:mrow>
									<mml:mrow>
										<mml:mo>-</mml:mo>
										<mml:mo>(</mml:mo>
										<mml:msub>
											<mml:mrow>
												<mml:mi>&#x3b2;</mml:mi>
											</mml:mrow>
											<mml:mrow>
												<mml:mn>0</mml:mn>
											</mml:mrow>
										</mml:msub>
										<mml:mo>+</mml:mo>
										<mml:msub>
											<mml:mrow>
												<mml:mi>&#x3b2;</mml:mi>
											</mml:mrow>
											<mml:mrow>
												<mml:mn>1</mml:mn>
											</mml:mrow>
										</mml:msub>
										<mml:mi>L</mml:mi>
										<mml:mo>)</mml:mo>
										<mml:mo>&#x2bc;</mml:mo>
									</mml:mrow>
								</mml:msup>
							</mml:mrow>
						</mml:mfrac>
					</mml:math>,</disp-formula>
				<p>where PL is the probability of an individual being mature at a given length, &#x3b2;<sub>0</sub> the intercept and &#x3b2;<sub>1</sub> the slope of the curve. These parameters are estimated by iteratively reweighted least squares, assuming a binomial distribution (mature-immature).</p>
				<p>The length at which 50% of specimens were mature (L<sub>50,</sub> size at maturity) was estimated as</p>
				<disp-formula id="e2">
					<mml:math id="mml-2">
						<mml:msub>
							<mml:mrow>
								<mml:mi>L</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mn>50</mml:mn>
							</mml:mrow>
						</mml:msub>
						<mml:mo>=</mml:mo>
						<mml:mo>-</mml:mo>
						<mml:mfrac>
							<mml:mrow>
								<mml:mover accent="true">
									<mml:mrow>
										<mml:msub>
											<mml:mrow>
												<mml:mi>&#x3b2;</mml:mi>
											</mml:mrow>
											<mml:mrow>
												<mml:mn>0</mml:mn>
											</mml:mrow>
										</mml:msub>
									</mml:mrow>
									<mml:mo>^</mml:mo>
								</mml:mover>
							</mml:mrow>
							<mml:mrow>
								<mml:mover accent="true">
									<mml:mrow>
										<mml:msub>
											<mml:mrow>
												<mml:mi>&#x3b2;</mml:mi>
											</mml:mrow>
											<mml:mrow>
												<mml:mn>1</mml:mn>
											</mml:mrow>
										</mml:msub>
									</mml:mrow>
									<mml:mo>^</mml:mo>
								</mml:mover>
								<mml:mo>&#x2bc;</mml:mo>
							</mml:mrow>
						</mml:mfrac>
					</mml:math>,</disp-formula>
				<p>where <inline-formula>
						<mml:math>
							<mml:msub>
								<mml:mrow>
									<mml:mover accent="true">
										<mml:mrow>
											<mml:mi>&#x3b2;</mml:mi>
										</mml:mrow>
										<mml:mo>^</mml:mo>
									</mml:mover>
								</mml:mrow>
								<mml:mrow>
									<mml:mn>0</mml:mn>
								</mml:mrow>
							</mml:msub>
						</mml:math>
					</inline-formula> and <inline-formula>
						<mml:math>
							<mml:msub>
								<mml:mrow>
									<mml:mover accent="true">
										<mml:mrow>
											<mml:mi>&#x3b2;</mml:mi>
										</mml:mrow>
										<mml:mo>^</mml:mo>
									</mml:mover>
								</mml:mrow>
								<mml:mrow>
									<mml:mn>1</mml:mn>
								</mml:mrow>
							</mml:msub>
						</mml:math>
					</inline-formula> are the intercept and slope estimates, respectively, estimated using the <italic>SizeMat</italic> (<xref ref-type="bibr" rid="B50">Torrej&#xf3;n-Magallanes 2020</xref>) package of the R software (<xref ref-type="bibr" rid="B48">R Core Team 2021</xref>).</p>
				<p>In addition, the classical logistic models including and not including sex as a covariable and were compared through a Chisq likelihood-ratio test (P-value&lt;0.05) to check whether a partial effect of sex existed.</p>
				<p>It should be noted that the lack of observations of immature male individuals for the years 2014 and 2015 owing to a reduction in the sampling prevented the size at maturity of males from being estimated in these years. To address this handicap, missing values were calculated using moving averages with a window of four (eight observations were taken into account; four on the left and four on the right) using the <italic>imputeTS</italic> package (<xref ref-type="bibr" rid="B38">Moritz and Bartz-Beielstein 2017</xref>, see details in the supplementary materials).</p>
			</sec>
			<sec id="sec2.3">
				<title>Le Cren&#x2019;s condition factor</title>
				<p>Body condition is a key indicator of the health status of fish since it is closely related to important fitness variables such as growth, reproduction, behaviour and survival. Consequently, the body condition can partially explain the L<sub>50</sub> variability. Among the several indices proposed to measure body condition, Le Cren&#x2019;s relative condition factor (<italic>Kn</italic>) (<xref ref-type="bibr" rid="B32">Le Cren 1951</xref>) was selected. Le Cren&#x2019;s factor is defined as the observed weight of an individual divided by its predicted weight, which is obtained from the linear regression of the length-weight relationship (after linearizing using logarithms).</p>
				<disp-formula id="e3">
					<mml:math id="mml-3">
						<mml:mi>K</mml:mi>
						<mml:mi>n</mml:mi>
						<mml:mo>=</mml:mo>
						<mml:mfrac>
							<mml:mrow>
								<mml:mi>W</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mover accent="true">
									<mml:mrow>
										<mml:mi>a</mml:mi>
									</mml:mrow>
									<mml:mo>^</mml:mo>
								</mml:mover>
								<mml:msup>
									<mml:mrow>
										<mml:mi>L</mml:mi>
									</mml:mrow>
									<mml:mrow>
										<mml:mover accent="true">
											<mml:mrow>
												<mml:mi>b</mml:mi>
											</mml:mrow>
											<mml:mo>^</mml:mo>
										</mml:mover>
										<mml:mo>&#x2bc;</mml:mo>
									</mml:mrow>
								</mml:msup>
							</mml:mrow>
						</mml:mfrac>
					</mml:math>,</disp-formula>
				<p>where W is the total weight (g), L the total length (cm), the constant estimate and the exponent estimate usually between 2.5 and 4. The &#xe2; and &#x302;b length-weight relationship parameters were estimated using the <italic>lm</italic> function of the R software through the linear regression model <inline-formula>
						<mml:math>
							<mml:mrow>
								<mml:mrow>
									<mml:mi>log</mml:mi>
								</mml:mrow>
								<mml:mo>&#x2061;</mml:mo>
								<mml:mrow>
									<mml:mfenced separators="|">
										<mml:mrow>
											<mml:mi>W</mml:mi>
										</mml:mrow>
									</mml:mfenced>
								</mml:mrow>
							</mml:mrow>
							<mml:mo>=</mml:mo>
							<mml:mrow>
								<mml:mrow>
									<mml:mi>log</mml:mi>
								</mml:mrow>
								<mml:mo>&#x2061;</mml:mo>
								<mml:mrow>
									<mml:mfenced separators="|">
										<mml:mrow>
											<mml:mi>a</mml:mi>
										</mml:mrow>
									</mml:mfenced>
								</mml:mrow>
							</mml:mrow>
							<mml:mo>+</mml:mo>
							<mml:mrow>
								<mml:mrow>
									<mml:mi>log</mml:mi>
								</mml:mrow>
								<mml:mo>&#x2061;</mml:mo>
								<mml:mrow>
									<mml:mfenced separators="|">
										<mml:mrow>
											<mml:mi>L</mml:mi>
										</mml:mrow>
									</mml:mfenced>
								</mml:mrow>
							</mml:mrow>
						</mml:math>
					</inline-formula>. Gutted weight was missing for a large percentage of the individuals, so total weight was used instead. However, the presence of missing values of total weight prevented us from estimating the relative condition factor for males between 1998 and 2001 and for females between 1999 and 2001. These missing values were calculated by moving averages with a window of four using the <italic>imputeTS</italic> package (<xref ref-type="bibr" rid="B38">Moritz and Bartz-Beielstein 2017</xref>).</p>
			</sec>
			<sec id="sec2.4">
				<title>Environmental data</title>
				<p>In order to analyse the effect of the environmental conditions on the L<sub>50</sub>, we used the sea surface temperature (SST in &#xb0;C) as a local environmental index and the North Atlantic Oscillation (NAO) and the Atlantic Multidecadal Oscillation (AMO) as large-scale climate indices representative of sea level pressure patterns. The AMO and NAO indices were included because large-scale climatic events affect not only temperature but also ocean masses and circulation, which affect plankton and zooplankton (<xref ref-type="bibr" rid="B40">Nye et al. 2009</xref>, <xref ref-type="bibr" rid="B41">2014</xref>). These indices have disproportionate effects on the early life stages of fishes because of alterations in food sources and temperature (<xref ref-type="bibr" rid="B40">Nye et al. 2009</xref>, <xref ref-type="bibr" rid="B41">2014</xref>). SST was included because it affects the fish community through thermal tolerance and species migration (<xref ref-type="bibr" rid="B35">Marshall and Elliott 1998</xref>). The AMO and NAO annual-times series were downloaded from the US National Oceanic and Atmospheric Administration (NOAA, <ext-link ext-link-type="uri" xlink:href="http://www.noaa.gov/">http://www.noaa.gov/</ext-link>). For SST, annual averages covering the entire study period (1982-2019) and sampling area were extracted from the NOAA NCDC platform (<ext-link ext-link-type="uri" xlink:href="https://www.ncdc.noaa.gov/oisst">https://www.ncdc.noaa.gov/oisst</ext-link>), which provides a global 1/4&#xb0; gridded dataset of the advanced very high-resolution radiometer.</p>
			</sec>
			<sec id="sec2.5">
				<title>Generalized additive models</title>
				<p>Generalized additive models (GAMs, <xref ref-type="bibr" rid="B56">Wood 2017</xref>) were implemented to test the influences of temporal (year), environmental (SST, AMO and NAO) and biological (relative condition factor, biomass, and spawning biomass at length) variables on the L<sub>50</sub>.</p>
				<p>GAMs are semi-parametric extensions of generalized linear models (GLMs) for which the strictly linear predictor</p>
				<disp-formula id="e4">
					<mml:math id="mml-4">
						<mml:mi>g</mml:mi>
						<mml:mfenced separators="|">
							<mml:mrow>
								<mml:mi>&#x3bc;</mml:mi>
								<mml:mfenced separators="|">
									<mml:mrow>
										<mml:mi mathvariant="bold-italic">X</mml:mi>
									</mml:mrow>
								</mml:mfenced>
							</mml:mrow>
						</mml:mfenced>
						<mml:mo>=</mml:mo>
						<mml:msub>
							<mml:mrow>
								<mml:mi>&#x3b2;</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mn>0</mml:mn>
							</mml:mrow>
						</mml:msub>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mrow>
								<mml:mi>&#x3b2;</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mn>1</mml:mn>
							</mml:mrow>
						</mml:msub>
						<mml:msub>
							<mml:mrow>
								<mml:mi>X</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mn>1</mml:mn>
							</mml:mrow>
						</mml:msub>
						<mml:mo>+</mml:mo>
						<mml:mo>&#x2026;</mml:mo>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mrow>
								<mml:mi>&#x3b2;</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mi>p</mml:mi>
							</mml:mrow>
						</mml:msub>
						<mml:msub>
							<mml:mrow>
								<mml:mi>X</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mi>p</mml:mi>
								<mml:mo>&#x2bc;</mml:mo>
							</mml:mrow>
						</mml:msub>
					</mml:math>,</disp-formula>
				<p>where <bold>X</bold>=(X<sub>1</sub>,...,X<sub>p</sub>) are covariables, <inline-formula>
						<mml:math>
							<mml:mi>&#x3bc;</mml:mi>
							<mml:mfenced separators="|">
								<mml:mrow>
									<mml:mi>X</mml:mi>
								</mml:mrow>
							</mml:mfenced>
							<mml:mo>=</mml:mo>
							<mml:mi>E</mml:mi>
							<mml:mfenced separators="|">
								<mml:mrow>
									<mml:mi>Y</mml:mi>
								</mml:mrow>
								<mml:mrow>
									<mml:mi>X</mml:mi>
								</mml:mrow>
							</mml:mfenced>
						</mml:math>
					</inline-formula> is the conditional exception of the response variable Y, <italic>g</italic> is the link function (explained below) and &#x3b2;<sub>0</sub>, &#x3b2;<sub>1</sub>,...,&#x3b2;<sub>p</sub> are the unknown parameters, is replaced by</p>
				<disp-formula id="e5">
					<mml:math id="mml-5">
						<mml:mi>g</mml:mi>
						<mml:mfenced separators="|">
							<mml:mrow>
								<mml:mi>&#x3bc;</mml:mi>
								<mml:mfenced separators="|">
									<mml:mrow>
										<mml:mi mathvariant="bold-italic">X</mml:mi>
									</mml:mrow>
								</mml:mfenced>
							</mml:mrow>
						</mml:mfenced>
						<mml:mo>=</mml:mo>
						<mml:msub>
							<mml:mrow>
								<mml:mi>&#x3b2;</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mn>0</mml:mn>
							</mml:mrow>
						</mml:msub>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mrow>
								<mml:mi>f</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mn>1</mml:mn>
							</mml:mrow>
						</mml:msub>
						<mml:msub>
							<mml:mrow>
								<mml:mo>(</mml:mo>
								<mml:mi>X</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mn>1</mml:mn>
							</mml:mrow>
						</mml:msub>
						<mml:mo>)</mml:mo>
						<mml:mo>+</mml:mo>
						<mml:mo>&#x2026;</mml:mo>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mrow>
								<mml:mi>f</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mi>p</mml:mi>
							</mml:mrow>
						</mml:msub>
						<mml:msub>
							<mml:mrow>
								<mml:mo>(</mml:mo>
								<mml:mi>X</mml:mi>
							</mml:mrow>
							<mml:mrow>
								<mml:mi>p</mml:mi>
							</mml:mrow>
						</mml:msub>
						<mml:mo>)</mml:mo>
						<mml:mo>,</mml:mo>
					</mml:math>
					<label>(1)</label>
				</disp-formula>
				<p>where f<sub>j</sub> (X<sub>j</sub>) is the unknown smooth partial effect of X<sub>j</sub> on the predictor. Hence, GAMs avoid the assumption of a linear relation between the response variable and the covariables, thus providing a more flexible model. Note that GLMs are an extension of linear models for which the distribution of the response variable can be other than Gaussian. For this reason, in the previous models a link function <italic>g</italic> is applied to &#x3bc;(X). In this study, it was assumed that the Gaussian distribution correctly fits the response variable size at maturity (L<sub>50</sub>).</p>
				<p>Standardized data exploration techniques were used to identify any outliers and any correlation and collinearity between the explicative variables (<xref ref-type="bibr" rid="B57">Zuur et al. 2010</xref>). In particular, correlation among variables was checked using a Pearson&#x2019;s correlation test with the <italic>corrplot</italic> package (<xref ref-type="bibr" rid="B53">Wei et al. 2017</xref>) of the R software. In particular, correlation among variables was checked by performing a Pearson&#x2019;s correlation test with the <italic>corrplot</italic> package (<xref ref-type="bibr" rid="B53">Wei et al. 2017</xref>) of the R software. By calculating the generalized variance inflation factors (GVIF), which are the values of VIF corrected for the number of degrees of freedom of a predictor variable (<xref ref-type="bibr" rid="B12">Fox and Weisberg 2019</xref>), collinearity was tested. GVIF was evaluated using the <italic>corvif</italic> function in R software. In particular, as both the Pearson&#x2019;s correlation (r&gt;0.70) and the GVIF (&gt;3) were high between the year and AMO, the latter was not further considered in models for avoiding collinearity (see more details in supplementary materials).</p>
				<p>Covariables were selected with a backward stepwise procedure based on the Akaike information criterion (AIC) and an adjusted R-square. The best (and most parsimonious) model was finally chosen based on the compromise between low AIC values, a high adjusted R-square and significant predictors.</p>
				<p>Cubic regression splines basis were used for explanatory variables, restricting the dimension of the basis (k) to four to allow a high degree of flexibility without overfitting problems. When a spline was not required, the variable was considered a linear effect.</p>
				<p>For each final GAM, a diagnosis of the model assumptions was carried out, among which the independence of the residuals was verified using the autocorrelation (ACF) and partial autocorrelation (PACF) functions and the Ljung-Box test (<xref ref-type="bibr" rid="B54">Wood 2006</xref>). Additionally, results of Jarque-Bera and Shapiro-Wilk tests (normality assumption), a Dickye-Fuller test (stationarity assumption) and a Student t-test (zero mean assumption) were also explored.</p>
				<p>The GAMs were performed using the <italic>mgcv</italic> package (<xref ref-type="bibr" rid="B55">Wood 2011</xref>) of the R software. The R code for the applied models can be found on the GitHub repository (<ext-link ext-link-type="uri" xlink:href="https://github.com/Lojamodav/PAPER.git">https://github.com/Lojamodav/PAPER.git</ext-link>).</p>
			</sec>
		</sec>
		<sec id="sec3" sec-type="results">
			<title>Results</title>
			<sec id="sec3.1">
				<title>Size at maturity estimates</title>
				<p>Firstly, a single value of the size at maturity of European hake was estimated for the whole period 1982-2019 and for both sexes combined, resulting in L<sub>50</sub>=37.5 cm. European hake shows sexual dimorphism, hence the was also estimated by sex in this period. The data exploration analysis showed that the estimate was 44.4 cm and 31.8 cm for females and males, respectively (<xref ref-type="fig" rid="f1">Fig. 1</xref>). In conclusion, the partial effect of the sex covariable was significant.</p>
				<fig id="f1">
					<label>Fig. 1</label>
					<caption>
						<title>Maturity ogive for (A) males and (B) females of European hake in the period 1982-2019.</title>
						<p>The grey dots represent the observations, the blue line is the fitted model and the red line represents the size at maturity.</p>
					</caption>
					<graphic id="gra-1" xlink:href="SCIMAR-86-04-e046-gf1.png"/>
				</fig>
				<p>Secondly, sex-specific size at maturity was also estimated for each year of the time series (<xref ref-type="fig" rid="f2">Fig. 2</xref>). The male L<sub>50</sub> time series showed a decreasing trend over the whole period (<xref ref-type="fig" rid="f2">Fig. 2A</xref>), while the female L<sub>50</sub> time series showed two trends (<xref ref-type="fig" rid="f2">Fig. 2B</xref>): an increasing trend starting in 1990 and reaching its highest value of 56.2 cm in 1996, followed by a decreasing trend in the L<sub>50</sub> for the remaining years. The male L<sub>50</sub> in 1982 was 36.1 cm and reached the lowest value of 23.2 cm in 2019, which is a decrease of 19.2 cm (40.6% in relative terms) with respect to the mean value for male L<sub>50</sub>. However, the female L<sub>50</sub> started at 49.7 cm in 1982 and declined to 38.8 cm at the end of the series, which represented a decrease of 24.5% in relative terms with respect to the mean value for female L<sub>50</sub>.</p>
				<fig id="f2">
					<label>Fig. 2</label>
					<caption>
						<title>Temporal variability of size at maturity (L<sub>50</sub>) during the time series (1982-2019) for (A) males and (B) females of European hake.</title>
					</caption>
					<graphic id="gra-2" xlink:href="SCIMAR-86-04-e046-gf2.png"/>
				</fig>
			</sec>
			<sec id="sec3.2">
				<title>Relative condition factor estimates</title>
				<p>For the whole period 1982-2019 the relative condition factor of European hake was <italic>Kn</italic>=0.88 for both sexes combined, 0.61 for males and 1.10 for females. When <italic>Kn</italic> was estimated by year, it was observed that males showed a decreasing trend from the beginning of the time series until 1993, from which an increase in <italic>Kn</italic> was observed (<xref ref-type="fig" rid="f3">Fig. 3B</xref>). Likewise, female <italic>Kn</italic> followed the same pattern as male <italic>Kn</italic>. In particular, the lowest <italic>Kn</italic> value for males and females was 0.37 and 0.35, respectively, recorded in 1993. This translates into a decrease in <italic>Kn</italic> of 39% and 68.2% (with respect to the mean) for males and females, respectively. In contrast, the highest <italic>Kn</italic> value was 0.87 (2014) and 2.48 (1998) for males and females, respectively, an increase of 42.6% and 125.45% for males and females in 1998, respectively. It should be noted that the high <italic>Kn</italic> value for females in 1998 was due to a bias in the sample because only 15 mature hakes showed very high weights.</p>
				<fig id="f3">
					<label>Fig. 3</label>
					<caption>
						<title>Temporal variability of the relative condition factor (<italic>Kn</italic>) of European hake from 1982 to 2019 for (A) males and (B) females.</title>
					</caption>
					<graphic id="gra-3" xlink:href="SCIMAR-86-04-e046-gf3.png"/>
				</fig>
			</sec>
			<sec id="sec3.3">
				<title>Analysis of temporal variability of L<sub>50</sub>
				</title>
				<p>The final GAM for European hake males derived from the backward stepwise procedure included only the year as a significant covariable (<xref ref-type="table" rid="t1">Tables 1</xref> and <xref ref-type="table" rid="ts4">S4</xref>).</p>
				<table-wrap id="t1">
					<label>Table 1</label>
					<caption>
						<title>Coefficient estimates of the final GAM for the size at maturity of European hake males.</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center" colspan="5">Parametric coefficients </th>
							</tr>
							<tr>
								<th align="left"> </th>
								<th align="center">Estimate</th>
								<th align="center">se</th>
								<th align="center">t value</th>
								<th align="center">Pr (&gt;|t|)</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="center">
									<inline-formula>
										<mml:math>
											<mml:msub>
												<mml:mrow>
													<mml:mover accent="true">
														<mml:mrow>
															<mml:mi>&#x3b2;</mml:mi>
														</mml:mrow>
														<mml:mo>^</mml:mo>
													</mml:mover>
												</mml:mrow>
												<mml:mrow>
													<mml:mn>0</mml:mn>
												</mml:mrow>
											</mml:msub>
										</mml:math>
									</inline-formula>
								</td>
								<td align="center">31.0263</td>
								<td align="center">0.4684</td>
								<td align="center">66.24</td>
								<td align="center">&lt;2e-16 ***</td>
							</tr>
							<tr>
								<td align="center" colspan="5">Significance of smooth functions </td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="center">Edf</td>
								<td align="center">Ref. df</td>
								<td align="center">F</td>
								<td align="center">P-value</td>
							</tr>
							<tr>
								<td align="center">
									<inline-formula>
										<mml:math>
											<mml:msub>
												<mml:mrow>
													<mml:mover accent="true">
														<mml:mrow>
															<mml:mi>f</mml:mi>
														</mml:mrow>
														<mml:mo>^</mml:mo>
													</mml:mover>
												</mml:mrow>
												<mml:mrow>
													<mml:mn/>
												</mml:mrow>
											</mml:msub>
										</mml:math>
									</inline-formula> (year)</td>
								<td align="center">1.616</td>
								<td align="center">1.969</td>
								<td align="center">22.77 </td>
								<td align="center">1.1e-06 *** </td>
							</tr>
						</tbody>
					</table>
				</table-wrap>
				<p>The model results show that 55.3% of the L<sub>50</sub> variability of European hake males was explained by the temporal covariable year. <xref ref-type="fig" rid="f4">Figure 4</xref> shows estimated smoother effect of year of the fitted GAM, which showed a negative relationship with the L<sub>50</sub> estimates.</p>
				<fig id="f4">
					<label>Fig. 4</label>
					<caption>
						<title>Estimated smoother effect of year for the GAM size at maturity (L<sub>50</sub>) for males of the European hake for the time series (1982-2019).</title>
						<p>The blue circles represent the estimated annual values and the blue shading represents the 95% confidence intervals of the year&#x2019;s smooth component.</p>
					</caption>
					<graphic id="gra-4" xlink:href="SCIMAR-86-04-e046-gf4.png"/>
				</fig>
				<p>For European hake females, in addition to the temporal year covariable, the final GAM included the biological covariables, biomass and spawning biomass at length, and the NAO environmental covariable (<xref ref-type="table" rid="t2">Tables 2</xref> and <xref ref-type="table" rid="ts5">S5</xref>). This model explained 76.8% of the variability of the size at maturity of female hake.</p>
				<table-wrap id="t2">
					<label>Table 2</label>
					<caption>
						<title>Coefficient estimates of the final GAM for size at maturity (L<sub>50</sub>) of European hake females.</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center" colspan="5">Parametric coefficients </th>
							</tr>
							<tr>
								<th align="left"> </th>
								<th align="center">Estimate</th>
								<th align="center">Std error</th>
								<th align="center">t value</th>
								<th align="center">Pr (&gt;|t|)</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="center">
									<inline-formula>
										<mml:math>
											<mml:msub>
												<mml:mrow>
													<mml:mover accent="true">
														<mml:mrow>
															<mml:mi>&#x3b2;</mml:mi>
														</mml:mrow>
														<mml:mo>^</mml:mo>
													</mml:mover>
												</mml:mrow>
												<mml:mrow>
													<mml:mn>0</mml:mn>
												</mml:mrow>
											</mml:msub>
										</mml:math>
									</inline-formula>
								</td>
								<td align="center">44.4441</td>
								<td align="center">0.3035</td>
								<td align="center">146.4</td>
								<td align="center">&lt;2e-16 ***</td>
							</tr>
							<tr>
								<td align="center" colspan="5">
									Significance of smooth functions
								</td>
							</tr>
							<tr>
								<td align="left"> </td>
								<td align="center">
									Edf
								</td>
								<td align="center">
									Ref. df
								</td>
								<td align="center">
									F
								</td>
								<td align="center">
									P-value
								</td>
							</tr>
							<tr>
								<td align="center">
									<inline-formula>
										<mml:math>
											<mml:msub>
												<mml:mrow>
													<mml:mover accent="true">
														<mml:mrow>
															<mml:mi>f</mml:mi>
														</mml:mrow>
														<mml:mo>^</mml:mo>
													</mml:mover>
												</mml:mrow>
												<mml:mrow>
													<mml:mn/>
												</mml:mrow>
											</mml:msub>
										</mml:math>
									</inline-formula> (year)</td>
								<td align="center">2.595</td>
								<td align="center">3.245 </td>
								<td align="center"> 2.541 </td>
								<td align="center">0.04783 *</td>
							</tr>
							<tr>
								<td align="center">
									<inline-formula>
										<mml:math>
											<mml:msub>
												<mml:mrow>
													<mml:mover accent="true">
														<mml:mrow>
															<mml:mi>f</mml:mi>
														</mml:mrow>
														<mml:mo>^</mml:mo>
													</mml:mover>
												</mml:mrow>
												<mml:mrow>
													<mml:mn/>
												</mml:mrow>
											</mml:msub>
										</mml:math>
									</inline-formula> (biomass)</td>
								<td align="center">3.198</td>
								<td align="center">3.634</td>
								<td align="center">4.992</td>
								<td align="center">0.00474 **</td>
							</tr>
							<tr>
								<td align="center">
									<inline-formula>
										<mml:math>
											<mml:msub>
												<mml:mrow>
													<mml:mover accent="true">
														<mml:mrow>
															<mml:mi>f</mml:mi>
														</mml:mrow>
														<mml:mo>^</mml:mo>
													</mml:mover>
												</mml:mrow>
												<mml:mrow>
													<mml:mn/>
												</mml:mrow>
											</mml:msub>
										</mml:math>
									</inline-formula> (Spawning biomass at length)</td>
								<td align="center">2.249</td>
								<td align="center">2.788</td>
								<td align="center">7.734</td>
								<td align="center"> 0.00144 **</td>
							</tr>
							<tr>
								<td align="center">
									<inline-formula>
										<mml:math>
											<mml:msub>
												<mml:mrow>
													<mml:mover accent="true">
														<mml:mrow>
															<mml:mi>f</mml:mi>
														</mml:mrow>
														<mml:mo>^</mml:mo>
													</mml:mover>
												</mml:mrow>
												<mml:mrow>
													<mml:mn/>
												</mml:mrow>
											</mml:msub>
										</mml:math>
									</inline-formula> (NAO)</td>
								<td align="center">1.000</td>
								<td align="center">1.000</td>
								<td align="center">8.094</td>
								<td align="center"> 0.00821 **</td>
							</tr>
						</tbody>
					</table>
				</table-wrap>
				<p>In particular, year showed a dome-shaped relationship with L<sub>50</sub> estimates (<xref ref-type="fig" rid="f5">Fig. 5</xref>). Density-dependent effects were detected. The results showed a positive relationship of biomass with L<sub>50</sub> estimates and a negative relationship of spawning biomass at length with L<sub>50</sub> estimates (<xref ref-type="fig" rid="f5">Fig. 5</xref>). Finally, the NAO index also showed a slight positive relationship with L<sub>50</sub> (<xref ref-type="fig" rid="f5">Fig. 5</xref>).</p>
				<fig id="f5">
					<label>Fig. 5</label>
					<caption>
						<title>Estimated smooth effects of year, spawning biomass at length, NAO and biomass for the GAM size at maturity (L<sub>50</sub>) for females of European hake during the time series (1982-2019).</title>
						<p>The pink circles represent the estimated annual values and the pink shading represents the 95% confidence intervals of the smooth components.</p>
					</caption>
					<graphic id="gra-5" xlink:href="SCIMAR-86-04-e046-gf5.png"/>
				</fig>
				<p>In both GAMs all the theoretical assumptions were respected, and the results of the autocorrelation (ACF) and partial autocorrelation (PACF) functions and the Ljung-Box test of the residuals are presented in the supplementary material.</p>
			</sec>
		</sec>
		<sec id="sec4" sec-type="discussion">
			<title>Discussion</title>
			<p>Understanding biological processes underlying southern hake stock dynamics in Atlantic Iberian waters can help to improve their assessment and management. The overall aim of this study was to assess changes in the size at maturity (L<sub>50</sub>) of both sexes in the period 1982-2019 and determine the potential drivers of its variation.</p>
			<p>It should be mentioned that the data used in this study were limited to the northern part of the southern stock distribution and that, owing to the missing data and the way the data were compiled, these results should be interpreted with caution. However, our results highlight the importance of understanding the factors affecting the balance between the energy invested in reproduction, maintenance and growth and the interannual variability of this trade-off. This is the only way to understand how environmental pressures influence the population dynamics of this species at a regional scale.</p>
			<p>The results of this study showed that differentiated long-term patterns were observed for the two sexes, with major long-term declines for male hakes. For males, the size at maturity decreased by 12.9 cm over the study period, from 36.1 cm in 1982 to 23.2 cm, the lowest observed value, in 2019. However, for females two trends in L<sub>50</sub> can be distinguished: an increasing trend starting in 1990 and reaching its highest value of 56.2 cm in 1996, followed by a decreasing trend for the rest of the time series, reaching a value of 38.8 cm in 2019.</p>
			<p>In relation to <italic>Kn</italic>, both sexes showed the same structure, that is, a tendency to increase from 1993 onwards, in which year both males and females reached the minimum values of 0.37 and 0.35, respectively. This translates into a decrease in <italic>Kn</italic> of 39% for males and 68.2% for females with respect to the mean. In contrast, the highest <italic>Kn</italic> value was 0.87 in 2014 for males and 2.48 in 1998 for females, which is an increase of 42.6% and 125.45% percentage points, respectively. It should be noted that the high <italic>Kn</italic> value for females in 1998 is due to a bias in the sample, as only 15 mature hakes showed very high weights. This can be explained by the fact that when total weight (heavily influenced by gonad size/maturity stage and stomach size/repletion stage) is used to calculate Kn, these weights can fluctuate markedly because of factors unrelated to the actual physiological condition of the hake specimen.</p>
			<p>From the above, it can be deduced that though both sexes follow the same pattern for <italic>Kn</italic>, male and female maturity responded differently to over time, likely linked to external drivers, including fishing pressure.</p>
			<p>The reproductive system of fish reacts to any changes in life conditions, so variations in growth and reproduction dynamics of fish populations substantially affects fish production not only quantitatively but also qualitatively (<xref ref-type="bibr" rid="B13">God&#xf8; and Haug 1999</xref>, <xref ref-type="bibr" rid="B46">Oven 2004</xref>). When fishing pressure removes old and large individuals from the spawning stock, it may favour density-dependent growth, leading to an increase in size at maturity (<xref ref-type="bibr" rid="B43">Olsen et al. 2004</xref>); however, if fishing pressure is too intense and maintained for a long time, it can remove the fast-growth or large-size genotypes from the stock, resulting in a decrease of size at maturity and even causing evolutionary changes in the stock (<xref ref-type="bibr" rid="B51">Trippel 1995</xref>, <xref ref-type="bibr" rid="B25">J&#xf8;rgensen et at. 2007</xref>, <xref ref-type="bibr" rid="B17">Hidalgo et al. 2012</xref>).</p>
			<p>In Iberian Atlantic waters, European hake has been exploited beyond safe biological limits since the 1990s, with the largest landings being recorded in this period, but in 2004 it was declared in a critical state because of overfishing (<xref ref-type="bibr" rid="B7">Dominguez-Petit 2007</xref>, <xref ref-type="bibr" rid="B28">Korta et al. 2010</xref>). Currently, the stock is considered to be in a relatively healthy status but still shows reduced reproductive capacity, according to the annual observed recruitment. It is still intensely exploited (in 2018, F=0.60), exceeding the rate of fishing mortality for the maximum sustainable yield (F<sub>msy</sub>= 0.25) but not above the precautionary limits (F<sub>pa</sub>=0.75) (<xref ref-type="bibr" rid="B24">ICES 2019</xref>). In addition, European hake is the target of mixed fisheries delivered by the industrial and artisanal fleets with different gears: gillnet, longline and different trawl gears (<xref ref-type="bibr" rid="B29">Korta et al. 2015</xref>, <xref ref-type="bibr" rid="B24">ICES 2019</xref>) targeting medium-large specimens (&lt;40cm). Gillnets and longlines, have accounted for 16% and 13% of catches during the last decade, respectively, targeting hake adults (especially longliners that target large hake). However, <xref ref-type="bibr" rid="B7">Dominguez-Petit (2007)</xref> and <xref ref-type="bibr" rid="B29">Korta et. al (2015)</xref>, reported a decrease in the mean hake size in the landings in the last few decades independently of the gear type used, supporting the perception of overexploitation.</p>
			<p>In line with the above, fishing pressure has been widely reported as a selection factor for larger individuals with an effect that is especially problematic when the oldest and largest individuals of the population are removed (<xref ref-type="bibr" rid="B31">Law 2000</xref>), because the size/age truncation of the stock leads to a decrease in reproductive potential (<xref ref-type="bibr" rid="B19">Hixon et al. 2014</xref>). However, no proxy for fishing effort was considered in our models (for both males and females) owing to the lack of detailed and reliable fleet information (with the same spatial and temporal coverage) that could support this hypothesis. On the contrary, biological (biomass, spawning biomass at length and <italic>Kn</italic>) and environmental factors (NAO and SST) were considered as drivers of the variations in the decrease of L<sub>50</sub> for each sex.</p>
			<p>Several studies have addressed the changes in the maturity ogives in different species <bold>(</bold>
				<xref ref-type="bibr" rid="B16">Haug and Tjemsland 1986</xref>, <xref ref-type="bibr" rid="B26">Junquera et al. 1999</xref>, <xref ref-type="bibr" rid="B36">Marteinsdottir and Begg 2002</xref>, <xref ref-type="bibr" rid="B11">Engelhard and Heino 2004</xref>). In particular, <xref ref-type="bibr" rid="B8">Dominguez-Petit et al. (2008)</xref> studied these changes for European hake, although males were not considered in their study. They observed for the southern stock that the size at maturity increased even when total biomass and spawning biomass continued to decrease, which is contrary to the compensatory theory, probably as a consequence of environmental drivers such as NAO and upwelling. However, their results indicate that the pattern of the size at maturity in the Bay of Biscay (northern stock) was different, as a steady decline was observed throughout the study period.</p>
			<p>For male hake, both environmental and biological factors failed to explain the trend towards decreasing L<sub>50</sub>for our entire study period. This may well be explained by the fact that fishing pressure has eliminated larger individuals (mostly females), which could lead to a clear alteration of growth rates, causing profound changes in L<sub>50</sub>, either because fishing intensity has caused a regime shift, which has caused the main drivers of maturation/growth to change, or even because there has been a regime shift in the fishery itself, so fishing pressure has lost influence relative to other drivers. Considering the above, fishing pressure and behaviour of the trawl fleet could explain the decline, but further work is required because males and females do not show the same response.</p>
			<p>In the case of female hake, the reduction in stock biomass, usually as a consequence of high fishing exploitation, leads to a reduction in size at maturity. The results showed a negative relationship between biomass and size at maturity for female hake, which is to be expected in a density-dependent relationship. The higher the biomass, the greater the intraspecific competition, the lower the growth and the lower the L<sub>50</sub>. However, the results showed a positive relationship between biomass at spawning and L<sub>50</sub>, which is contrary to the compensatory theory. The lack of compensatory response is known as depensation. According to <xref ref-type="bibr" rid="B33">Liermann and Hilborn (2001)</xref>, there are four mechanisms of depensation: i) reduced probability of fertilization, ii) altered group dynamics, iii) environmental influences and iv) predator saturation. These four mechanisms are responsible for the lack of a compensatory response, although population density and intraspecific competition decrease.</p>
			<p>Major observed declines in L<sub>50</sub> are usually explained by unfavourable environmental conditions that reduce growth or by high fishing pressure (or a combination of both) as a mechanism to maximize fitness (<xref ref-type="bibr" rid="B1">Albo-Puigserver et al. 2021</xref>). L<sub>50</sub> is expected to be more variable than other traits, particularly in heterogeneous environments (<xref ref-type="bibr" rid="B18">Hidalgo et al. 2014</xref>).</p>
			<p>The only significant environmental variable included in our model for European hake females was the NAO index, which showed a positive relationship with the L<sub>50</sub>. The NAO is the most important source of variability in the North Atlantic region. The NAO index acts as an integrator of several environmental factors that can have a synergistic effect on fisheries dynamics. NAO impacts on air temperature, wind and precipitation regime and on large water mass distribution and flow, with the subsequent influence that all these factors have on marine ecosystems (<xref ref-type="bibr" rid="B15">Greene and Pershing 2000</xref>
				<bold>,</bold>
				<xref ref-type="bibr" rid="B30">K&#xf6;ster et al. 2005</xref>). Effects of the NAO ripple influence life history traits and population dynamics and do so across trophic levels from primary production to predators (<xref ref-type="bibr" rid="B45">Ottersen et al. 2001</xref>). In fact, many examples show that NAO drives the life history and dynamics of many fish populations (<xref ref-type="bibr" rid="B45">Ottersen et al. 2001</xref>, <xref ref-type="bibr" rid="B20">Hjermann et al. 2004</xref>, <xref ref-type="bibr" rid="B49">Sullivan and Cowen 2005</xref>) and in particular of the European hake stocks (<xref ref-type="bibr" rid="B37">Meiners-Mandujano 2007</xref>, <xref ref-type="bibr" rid="B8">Dominguez-Petit et al. 2008</xref>, <xref ref-type="bibr" rid="B14">Goikoetxea and Irigoien 2013</xref>). Similarly, <xref ref-type="bibr" rid="B10">Drinkwater (2005)</xref> showed that NAO explains approximately 50% of the variability in the growth increase of northern cod between ages three and five in Newfoundland, which is undoubtedly a determinant of L<sub>50</sub>, as these are the ages at which cod mature in this area. For female hake something similar may occur: positive NAO values imply higher growth, which implies higher L<sub>50</sub>. The NAO index may influence the maturation process of hake indirectly through alterations in ecosystem composition and resource availability (<xref ref-type="bibr" rid="B30">K&#xf6;ster et al. 2005</xref>, <xref ref-type="bibr" rid="B27">Kell et al. 2005</xref>).</p>
		</sec>
		<sec id="sec5" sec-type="conclusions">
			<title>Conclusions</title>
			<p>The size at maturity of the southern European hake stock has declined in both sexes in the last few decades. The present results show that the maturation of southern hake is influenced by a combination of demographic, anthropogenic and environmental factors, leading to a deeper understanding of the factors explaining the annual decrease in L<sub>50</sub> for both sexes, which was the objective of this study.</p>
			<p>However, determining which variables explain the decreasing trends in L<sub>50</sub>for both sexes requires applying more complex models than an overall linear trend to all the data, because there are much more complex relationships between L<sub>50</sub>and the factors that may explain the variability in L<sub>50</sub>.</p>
			<p>Total biomass, spawning biomass at length and the NAO partially explain the decline in the L<sub>50</sub> of females, but for males no relevant factor was found among the analysed ones that could explain this drastic decline. Overall, life history traits that rapidly respond to external changes, such as L<sub>50</sub>, might be good indicators to anticipate further declines in populations and require close monitoring and evaluation. That is why this study reiterates the need for a posteriori studies to confirm the hypothesis of fishing pressure as a maturity driver in order to have a better understanding of the underlying dynamics of this stock. Additionally, the impact of the reduction in the L<sub>50</sub> in males on the reproductive potential of the stock should be also investigated as paternal effects have proved to be more important than previously thought in stock dynamics (<xref ref-type="bibr" rid="B9">Dominguez-Petit et al. 2022</xref>).</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>Acknowledgements</title>
			<p>This study is a contribution to the IMPRESS (RTI2018-099868-B-I00) project, ERDF, Ministry of Science, Innovation and Universities - State Research Agency. Data were provided by samplings of commercial fleets that were co-funded by the European Union through the European Maritime and Fisheries Fund (EMFF) within the national programme of collection, management and use of data in the fisheries sector and support for scientific advice regarding the Common Fisheries Policy.</p>
		</ack>
		<ref-list>
			<title>References</title>
			<ref id="B1">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Albo-Puigserver</surname>
							<given-names>M.</given-names>
						</string-name>
						<string-name>
							<surname>Pennino</surname>
							<given-names>M.G.</given-names>
						</string-name>
						<string-name>
							<surname>Bellido</surname>
							<given-names>J.M.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2021</year>
					<article-title>Changes in life history traits of small pelagic fish in the western Mediterranean Sea</article-title>
					<source>Front. Mar. Sci.</source>
					<volume>8</volume>
					<elocation-id>1197</elocation-id>
					<pub-id pub-id-type="doi">10.3389/fmars.2021.570354</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B2">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Ali</surname>
							<given-names>M.</given-names>
						</string-name>
						<string-name>
							<surname>Nicieza</surname>
							<given-names>A.</given-names>
						</string-name>
						<string-name>
							<surname>Wootton</surname>
							<given-names>R.J.</given-names>
						</string-name>
					</person-group>
					<year>2003</year>
					<article-title>Compensatory growth in fishes: a response to growth depression</article-title>
					<source>Fish. Fish.</source>
					<volume>4</volume>
					<fpage>147</fpage>
					<lpage>190</lpage>
					<pub-id pub-id-type="doi">10.1046/j.1467-2979.2003.00120.x</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B3">
				<mixed-citation publication-type="book">
					<person-group person-group-type="author">
						<string-name>
							<surname>Ashton</surname>
							<given-names>W.D.</given-names>
						</string-name>
					</person-group>
					<year>1972</year>
					<source>The logit transformation with special reference to its uses in bioassay</source>
					<publisher-name>Haffner Publishing Co., INC.</publisher-name>
					<publisher-loc>New York</publisher-loc>
					<size units="pages">88</size>
				</mixed-citation>
			</ref>
			<ref id="B4">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Barot</surname>
							<given-names>S</given-names>
						</string-name>
						<string-name>
							<surname>Heino</surname>
							<given-names>M</given-names>
						</string-name>
						<string-name>
							<surname>O&#x2019;Brien</surname>
							<given-names>L</given-names>
						</string-name>
						<string-name>
							<surname>Dieckmann</surname>
							<given-names>U</given-names>
						</string-name>
					</person-group>
					<year>2004</year>
					<article-title>Estimating reaction norms for age and size at maturation when age at first reproduction is unknown</article-title>
					<source>Evol. Ecol. Res.</source>
					<volume>6</volume>
					<fpage>659</fpage>
					<lpage>678</lpage>
				</mixed-citation>
			</ref>
			<ref id="B5">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Cervi&#xf1;o</surname>
							<given-names>S.</given-names>
						</string-name>
						<string-name>
							<surname>Dom&#xed;nguez</surname>
							<given-names>R.</given-names>
						</string-name>
						<string-name>
							<surname>Jardim</surname>
							<given-names>E.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2013</year>
					<article-title>Impact of egg production and stock structure on MSY reference points. Implications for Southern hake management</article-title>
					<source>Fish. Res.</source>
					<volume>138</volume>
					<fpage>168</fpage>
					<lpage>178</lpage>
					<pub-id pub-id-type="doi">10.1016/j.fishres.2012.07.016</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B6">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Dalgleish</surname>
							<given-names>H.J.</given-names>
						</string-name>
						<string-name>
							<surname>Koons</surname>
							<given-names>D.N.</given-names>
						</string-name>
						<string-name>
							<surname>Adler</surname>
							<given-names>P.B.</given-names>
						</string-name>
					</person-group>
					<year>2010</year>
					<article-title>Can life-history traits predict the response of populations to changes in climate variability?</article-title>
					<source>J. Ecol.</source>
					<volume>98</volume>
					<fpage>209</fpage>
					<lpage>217</lpage>
					<pub-id pub-id-type="doi">10.1111/j.1365-2745.2009.01585.x</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B7">
				<mixed-citation publication-type="thesis">
					<person-group person-group-type="author">
						<string-name>
							<surname>Dominguez-Petit</surname>
							<given-names>R.</given-names>
						</string-name>
					</person-group>
					<year>2007</year>
					<source>Study of reproductive potential of Merluccius merluccius in the Galician shelf</source>
					<comment content-type="degree">Doctoral Thesis</comment>
					<publisher-name>University of Vigo</publisher-name>
					<publisher-loc>Spain</publisher-loc>
				</mixed-citation>
			</ref>
			<ref id="B8">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Dominguez-Petit</surname>
							<given-names>R.</given-names>
						</string-name>
						<string-name>
							<surname>Korta</surname>
							<given-names>M.</given-names>
						</string-name>
						<string-name>
							<surname>Saborido-Rey</surname>
							<given-names>F.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2008</year>
					<article-title>Changes in size at maturity of European hake Atlantic populations in relation with stock structure and environmental regimes</article-title>
					<source>J. Mar. Syst.</source>
					<volume>71</volume>
					<fpage>260</fpage>
					<lpage>278</lpage>
					<pub-id pub-id-type="doi">10.1016/j.jmarsys.2007.04.004</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B9">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Dominguez-Petit</surname>
							<given-names>R.</given-names>
						</string-name>
						<string-name>
							<surname>Garc&#xed;a-Fernandez</surname>
							<given-names>C.</given-names>
						</string-name>
						<string-name>
							<surname>Leonarduzzi</surname>
							<given-names>E.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2022</year>
					<article-title>Parental effects and reproductive potential of fish and marine invertebrates: Cross-generational impact of environmental experiences</article-title>
					<person-group person-group-type="editor">
						<string-name>
							<surname>Dom&#xed;nguez-Petit</surname>
							<given-names>R.</given-names>
						</string-name>
					</person-group>
					<issue-title>Impact of Environmental Stress on Reproductive Processes of Aquatic Animals</issue-title>
					<source>Fishes</source>
					<volume>7</volume>
					<elocation-id>188</elocation-id>
					<pub-id pub-id-type="doi">10.3390/fishes7040188</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B10">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Drinkwater</surname>
							<given-names>K.F.</given-names>
						</string-name>
					</person-group>
					<year>2005</year>
					<article-title>The response of Atlantic cod (<italic>Gadus morhua</italic>) to future climate change</article-title>
					<source>ICES J. Mar. Sci.</source>
					<volume>62</volume>
					<fpage>1327</fpage>
					<lpage>1337</lpage>
					<pub-id pub-id-type="doi">10.1016/j.icesjms.2005.05.015</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B11">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Engelhard</surname>
							<given-names>G.H.</given-names>
						</string-name>
						<string-name>
							<surname>Heino</surname>
							<given-names>M.</given-names>
						</string-name>
					</person-group>
					<year>2004</year>
					<article-title>Maturity changes in Norwegian spring spawning herring <italic>Clupea harengus</italic>: compensatory or evolutionary responses?</article-title>
					<source>Mar. Ecol. Prog. Ser.</source>
					<volume>272</volume>
					<fpage>245</fpage>
					<lpage>256</lpage>
					<pub-id pub-id-type="doi">10.3354/meps272245</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B12">
				<mixed-citation publication-type="book">
					<person-group person-group-type="author">
						<string-name>
							<surname>Fox</surname>
							<given-names>J.</given-names>
						</string-name>
						<string-name>
							<surname>Weisberg</surname>
							<given-names>S.</given-names>
						</string-name>
					</person-group>
					<year>2019</year>
					<source>An R Companion to Applied Regression</source>
					<edition>Third</edition>
					<publisher-name>SAGE Publications Inc</publisher-name>
					<size units="pages">608</size>
				</mixed-citation>
			</ref>
			<ref id="B13">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>God&#xf8;</surname>
							<given-names>O.R.</given-names>
						</string-name>
						<string-name>
							<surname>Haug</surname>
							<given-names>T.</given-names>
						</string-name>
					</person-group>
					<year>1999</year>
					<article-title>Growth rate and sexual maturity in cod (<italic>Gadus morhua</italic>) and Atlantic halibut (<italic>Hippoglosus hippoglossus</italic>)</article-title>
					<source>J. Northwest Atl. Fish. Sci.</source>
					<volume>25</volume>
					<fpage>115</fpage>
					<lpage>123</lpage>
					<pub-id pub-id-type="doi">10.2960/J.v25.a10</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B14">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Goikoetxea</surname>
							<given-names>N.</given-names>
						</string-name>
						<string-name>
							<surname>Irigoien</surname>
							<given-names>X.</given-names>
						</string-name>
					</person-group>
					<year>2013</year>
					<article-title>Links between the recruitment success of northern European hake (<italic>Merluccius merluccius</italic> L.) and a regime shift on the NE Atlantic continental shelf</article-title>
					<source>Fish. Oceanogr.</source>
					<volume>22</volume>
					<fpage>459</fpage>
					<lpage>476</lpage>
					<pub-id pub-id-type="doi">10.1111/fog.12033</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B15">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Greene</surname>
							<given-names>C.H.</given-names>
						</string-name>
						<string-name>
							<surname>Pershing</surname>
							<given-names>A.J.</given-names>
						</string-name>
					</person-group>
					<year>2000</year>
					<article-title>The response of <italic>Calanus finmarchicus</italic> populations to climate variability in the Northwest Atlantic: basin-scale forcing associated with the North Atlantic Oscillation</article-title>
					<source>ICES J. Mar. Sci.</source>
					<volume>57</volume>
					<fpage>1536</fpage>
					<lpage>1544</lpage>
					<pub-id pub-id-type="doi">10.1006/jmsc.2000.0966</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B16">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Haug</surname>
							<given-names>T.</given-names>
						</string-name>
						<string-name>
							<surname>Tjemsland</surname>
							<given-names>T.</given-names>
						</string-name>
					</person-group>
					<year>1986</year>
					<article-title>Changes in size and age distribution and age at sexual maturity in Atlantic Halibut, <italic>Hippoglossus hippoglossus</italic>, caught in North Norwegian waters</article-title>
					<source>Fish. Res.</source>
					<volume>4</volume>
					<fpage>145</fpage>
					<lpage>155</lpage>
					<pub-id pub-id-type="doi">10.1016/0165-7836(86)90039-1</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B17">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Hidalgo</surname>
							<given-names>M.</given-names>
						</string-name>
						<string-name>
							<surname>Rouyer</surname>
							<given-names>T.</given-names>
						</string-name>
						<string-name>
							<surname>Bartolino</surname>
							<given-names>V.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2012</year>
					<article-title>Context-dependent interplays between truncated demographies and climate variation shape the population growth rate of a harvested species</article-title>
					<source>Ecography</source>
					<volume>35</volume>
					<fpage>637</fpage>
					<lpage>649</lpage>
					<pub-id pub-id-type="doi">10.1111/j.1600-0587.2011.07314.x</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B18">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Hidalgo</surname>
							<given-names>M.</given-names>
						</string-name>
						<string-name>
							<surname>Rouyer</surname>
							<given-names>T.</given-names>
						</string-name>
						<string-name>
							<surname>Molinero</surname>
							<given-names>J.C.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2014</year>
					<article-title>Contrasting evolutionary demography induced by fishing: The role of adaptive phenotypic plasticity</article-title>
					<source>Ecol. App.</source>
					<volume>24</volume>
					<fpage>1101</fpage>
					<lpage>1114</lpage>
					<pub-id pub-id-type="doi">10.1890/12-1777.1</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B19">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Hixon</surname>
							<given-names>M.A.</given-names>
						</string-name>
						<string-name>
							<surname>Johnson</surname>
							<given-names>D.W.</given-names>
						</string-name>
						<string-name>
							<surname>Sogard</surname>
							<given-names>S.M.</given-names>
						</string-name>
					</person-group>
					<year>2014</year>
					<article-title>BOFFFFs: on the importance of conserving old-growth age structure in fishery populations</article-title>
					<source>ICES J. Mar. Sci.</source>
					<volume>71</volume>
					<fpage>2171</fpage>
					<lpage>2185</lpage>
					<pub-id pub-id-type="doi">10.1093/icesjms/fst200</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B20">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Hjermann</surname>
							<given-names>D.&#xd8;.</given-names>
						</string-name>
						<string-name>
							<surname>Stenseth</surname>
							<given-names>N.C.</given-names>
						</string-name>
						<string-name>
							<surname>Ottersen</surname>
							<given-names>G.</given-names>
						</string-name>
					</person-group>
					<year>2004</year>
					<article-title>Indirect climatic forcing of the Barents Sea capelin: a cohort effect</article-title>
					<source>Mar. Ecol. Prog. Ser.</source>
					<volume>273</volume>
					<fpage>229</fpage>
					<lpage>238</lpage>
					<pub-id pub-id-type="doi">10.3354/meps273229</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B21">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Hobday</surname>
							<given-names>A.J.</given-names>
						</string-name>
						<string-name>
							<surname>Smith</surname>
							<given-names>A.D.M.</given-names>
						</string-name>
						<string-name>
							<surname>Stobutzki</surname>
							<given-names>I.C.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2011</year>
					<article-title>Ecological risk assessment for the effects of fishing</article-title>
					<source>Fish Res.</source>
					<volume>108</volume>
					<fpage>372</fpage>
					<lpage>384</lpage>
					<pub-id pub-id-type="doi">10.1016/j.fishres.2011.01.013</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B22">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Hollins</surname>
							<given-names>J.</given-names>
						</string-name>
						<string-name>
							<surname>Thambithurai</surname>
							<given-names>D.</given-names>
						</string-name>
						<string-name>
							<surname>Koeck</surname>
							<given-names>B.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2018</year>
					<article-title>A physiological perspective on fisheries-induced evolution</article-title>
					<source>Evol. Appl.</source>
					<volume>11</volume>
					<fpage>561</fpage>
					<lpage>576</lpage>
					<pub-id pub-id-type="doi">10.1111/eva.12597</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B23">
				<mixed-citation publication-type="report">
					<person-group person-group-type="author">
						<collab>ICES</collab>
					</person-group>
					<year>2019</year>
					<source>Working Group for the Bay of Biscay and the Iberian Waters Ecoregion</source>
					<abbrev>WGBIE</abbrev>
					<gov>ICES Sci. Rep. 1</gov>
					<size units="pages">31</size>
				</mixed-citation>
			</ref>
			<ref id="B24">
				<mixed-citation publication-type="report">
					<person-group person-group-type="author">
						<collab>ICES</collab>
					</person-group>
					<year>2021</year>
					<source>Working Group for the Bay of Biscay and the Iberian Waters Ecoregion</source>
					<abbrev>WGBIE</abbrev>
					<gov>ICES Sci. Rep. 3</gov>
					<size units="pages">48</size>
				</mixed-citation>
			</ref>
			<ref id="B25">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>J&#xf8;rgensen</surname>
							<given-names>C.</given-names>
						</string-name>
						<string-name>
							<surname>Enberg</surname>
							<given-names>K.</given-names>
						</string-name>
						<string-name>
							<surname>Dunlop</surname>
							<given-names>E.S.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2007</year>
					<article-title>Ecology: Managing Evolving Fish Stocks</article-title>
					<source>Sci.</source>
					<volume>318</volume>
					<fpage>1247</fpage>
					<lpage>1248</lpage>
					<pub-id pub-id-type="other">10.1126/science.1148089</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B26">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Junquera</surname>
							<given-names>S.</given-names>
						</string-name>
						<string-name>
							<surname>Roman</surname>
							<given-names>E.</given-names>
						</string-name>
						<string-name>
							<surname>Paz</surname>
							<given-names>X.</given-names>
						</string-name>
						<string-name>
							<surname>Ramilo</surname>
							<given-names>G.</given-names>
						</string-name>
					</person-group>
					<year>1999</year>
					<article-title>Changes in Greenland halibut growth, condition and fecundity in the Northwest Atlantic (Flemish Pass, Flemish Cap and southern Grand Banks). Variations in maturation, growth, condition and spawning stock biomass production in groundfish</article-title>
					<source>J. Northwest Atl. Fish. Sci.</source>
					<volume>25</volume>
					<fpage>17</fpage>
					<lpage>28</lpage>
					<pub-id pub-id-type="doi">10.2960/J.v25.a2</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B27">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Kell</surname>
							<given-names>L.T.</given-names>
						</string-name>
						<string-name>
							<surname>Pilling</surname>
							<given-names>G.M.</given-names>
						</string-name>
						<string-name>
							<surname>O&#x2019;Brien</surname>
							<given-names>C.M.</given-names>
						</string-name>
					</person-group>
					<year>2005</year>
					<article-title>Implications of the climate change for the management of North Sea cod (<italic>Gadus morhua</italic>)</article-title>
					<source>ICES J. Mar. Sci.</source>
					<volume>62</volume>
					<fpage>1483</fpage>
					<lpage>1149</lpage>
					<pub-id pub-id-type="doi">10.1016/j.icesjms.2005.05.006</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B28">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Korta</surname>
							<given-names>M.</given-names>
						</string-name>
						<string-name>
							<surname>Dom&#xed;nguez-Petit</surname>
							<given-names>R.</given-names>
						</string-name>
						<string-name>
							<surname>Murua</surname>
							<given-names>H.</given-names>
						</string-name>
						<string-name>
							<surname>Saborido-Rey</surname>
							<given-names>F.</given-names>
						</string-name>
					</person-group>
					<year>2010</year>
					<article-title>Regional variability in reproductive traits of European hake <italic>Merluccius merluccius</italic> L. populations</article-title>
					<source>Fish. Res.</source>
					<volume>104</volume>
					<fpage>64</fpage>
					<lpage>72</lpage>
					<pub-id pub-id-type="doi">10.1016/j.fishres.2009.03.007</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B29">
				<mixed-citation publication-type="book">
					<person-group person-group-type="author">
						<string-name>
							<surname>Korta</surname>
							<given-names>M.</given-names>
						</string-name>
						<string-name>
							<surname>Garc&#xed;a</surname>
							<given-names>D.</given-names>
						</string-name>
						<string-name>
							<surname>Santurt&#xfa;n</surname>
							<given-names>M.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2015</year>
					<chapter-title>European Hake (<italic>Merluccius merluccius</italic>) in the North-east Atlantic</chapter-title>
					<source>Hakes: biology and Explotation</source>
					<person-group person-group-type="editor">
						<string-name>
							<surname>Arancibia</surname>
							<given-names>H.</given-names>
						</string-name>
					</person-group>
					<publisher-loc>Hoboken</publisher-loc>
					<publisher-name>John Wiley &amp; Sons, Ltd</publisher-name>
					<fpage>1</fpage>
					<lpage>37</lpage>
					<pub-id pub-id-type="doi">10.1002/9781118568262.ch1</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B30">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>K&#xf6;ster</surname>
							<given-names>F.W.</given-names>
						</string-name>
						<string-name>
							<surname>M&#xf6;llmann</surname>
							<given-names>C.</given-names>
						</string-name>
						<string-name>
							<surname>Hinrichsen</surname>
							<given-names>H.H.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2005</year>
					<article-title>Baltic cod Recruitment - the impact of climate variability on key processes</article-title>
					<source>ICES J. Mar. Sci.</source>
					<volume>62</volume>
					<fpage>1408</fpage>
					<lpage>1425</lpage>
					<pub-id pub-id-type="doi">10.1016/j.icesjms.2005.05.004</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B31">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Law</surname>
							<given-names>R.</given-names>
						</string-name>
					</person-group>
					<year>2000</year>
					<article-title>Fishing, selection, and phenotypic evolution</article-title>
					<source>ICES J. Mar. Sci.</source>
					<volume>57</volume>
					<fpage>659</fpage>
					<lpage>668</lpage>
					<pub-id pub-id-type="doi">10.1006/jmsc.2000.0731</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B32">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Le Cren</surname>
							<given-names>E.D.</given-names>
						</string-name>
					</person-group>
					<year>1951</year>
					<article-title>The length-weight relationship and seasonal cycle in gonad weight and condition in the perch</article-title>
					<source>J. Anim. Ecol.</source>
					<issue>2</issue>
					<fpage>201</fpage>
					<lpage>219</lpage>
					<pub-id pub-id-type="doi">10.2307/1540</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B33">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Liermann</surname>
							<given-names>M.</given-names>
						</string-name>
						<string-name>
							<surname>Hilborn</surname>
							<given-names>R.</given-names>
						</string-name>
					</person-group>
					<year>2001</year>
					<article-title>Depensation: evidence, models and implications</article-title>
					<source>Fish. Fish.</source>
					<volume>2</volume>
					<fpage>33</fpage>
					<lpage>58</lpage>
					<pub-id pub-id-type="doi">10.1046/j.1467-2979.2001.00029.x</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B34">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Lorenzen</surname>
							<given-names>K.</given-names>
						</string-name>
						<string-name>
							<surname>Camp</surname>
							<given-names>E.V.</given-names>
						</string-name>
					</person-group>
					<year>2019</year>
					<article-title>Density-dependence in the life history of fishes: when is a fish recruited?</article-title>
					<source>Fish. Res.</source>
					<volume>217</volume>
					<fpage>5</fpage>
					<lpage>10</lpage>
					<pub-id pub-id-type="doi">10.1016/j.fishres.2018.09.024</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B35">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Marshall</surname>
							<given-names>S.</given-names>
						</string-name>
						<string-name>
							<surname>Elliott</surname>
							<given-names>M.</given-names>
						</string-name>
					</person-group>
					<year>1998</year>
					<article-title>Environmental influences on the fish assemblage of the Humber estuary</article-title>
					<source>U.K. Estuar. Coast. Shelf Sci.</source>
					<volume>46</volume>
					<fpage>175</fpage>
					<lpage>184</lpage>
					<pub-id pub-id-type="doi">10.1006/ecss.1997.0268</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B36">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Marteinsdottir</surname>
							<given-names>G.</given-names>
						</string-name>
						<string-name>
							<surname>Begg</surname>
							<given-names>G.A.</given-names>
						</string-name>
					</person-group>
					<year>2002</year>
					<article-title>Essential relationships incorporating the influence of age, size and condition on variables required for estimation of reproductive potential in Atlantic cod Gadus morhua</article-title>
					<source>Mar. Ecol. Prog. Ser.</source>
					<volume>235</volume>
					<fpage>235</fpage>
					<lpage>256</lpage>
					<pub-id pub-id-type="doi">10.3354/meps235235</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B37">
				<mixed-citation publication-type="thesis">
					<person-group person-group-type="author">
						<string-name>
							<surname>Meiners-Mandujano</surname>
							<given-names>C.G.</given-names>
						</string-name>
					</person-group>
					<year>2007</year>
					<source>Importancia de la variabilidad clim&#xe1;tica en las pesquer&#xed;as y biolog&#xed;a de la merluza europea <italic>Merluccius merluccius</italic> (Linnaeus, 1758) de la costa Noroccidental Africana</source>
					<comment content-type="degree">PH.D. Thesis</comment>
					<publisher-name>Universitat Polit&#xe8;cnica de Catalunya</publisher-name>
					<abbrev>UPC</abbrev>
					<publisher-loc>Spain</publisher-loc>
					<size units="pages">207</size>
				</mixed-citation>
			</ref>
			<ref id="B38">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Moritz</surname>
							<given-names>S.</given-names>
						</string-name>
						<string-name>
							<surname>Bartz-Beielstein</surname>
							<given-names>T.</given-names>
						</string-name>
					</person-group>
					<year>2017</year>
					<article-title>Imputets: Time Series Missing Value Imputation in R</article-title>
					<source>R J.</source>
					<volume>9</volume>
					<fpage>207</fpage>
					<lpage>218</lpage>
					<pub-id pub-id-type="doi">10.32614/RJ-2017-009</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B39">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Murua</surname>
							<given-names>H.</given-names>
						</string-name>
					</person-group>
					<year>2010</year>
					<article-title>The biology and fisheries of European hake, <italic>Merluccius merluccius</italic>, in the north-east Atlantic</article-title>
					<source>Adv. Mar. Biol.</source>
					<volume>58</volume>
					<fpage>97</fpage>
					<lpage>154</lpage>
					<pub-id pub-id-type="doi">10.1016/B978-0-12-381015-1.00002-2</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B40">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Nye</surname>
							<given-names>J.A.</given-names>
						</string-name>
						<string-name>
							<surname>Link</surname>
							<given-names>J.S.</given-names>
						</string-name>
						<string-name>
							<surname>Hare</surname>
							<given-names>J.A.</given-names>
						</string-name>
						<string-name>
							<surname>Overholtz</surname>
							<given-names>W.J.</given-names>
						</string-name>
					</person-group>
					<year>2009</year>
					<article-title>Changing spatial distribution of fish stocks in relation to climate and population size on the Northeast United States continental shelf</article-title>
					<source>Mar. Ecol. Prog. Ser.</source>
					<volume>393</volume>
					<fpage>111</fpage>
					<lpage>129</lpage>
					<pub-id pub-id-type="doi">10.3354/meps08220</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B41">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Nye</surname>
							<given-names>J. A.</given-names>
						</string-name>
						<string-name>
							<surname>Baker</surname>
							<given-names>M.R.</given-names>
						</string-name>
						<string-name>
							<surname>Bell</surname>
							<given-names>R.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2014</year>
					<article-title>Ecosystem effects of the Atlantic Multidecadal Oscillation</article-title>
					<source>J. Mar. Syst.</source>
					<volume>133</volume>
					<fpage>103</fpage>
					<lpage>116</lpage>
					<pub-id pub-id-type="doi">10.1016/j.jmarsys.2013.02.006</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B42">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>&#xd6;ckinger</surname>
							<given-names>E.</given-names>
						</string-name>
						<string-name>
							<surname>Schweiger</surname>
							<given-names>O.</given-names>
						</string-name>
						<string-name>
							<surname>Crist</surname>
							<given-names>T.O.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2010</year>
					<article-title>Life-history traits predict species responses to habitat area and isolation: a cross-continental synthesis</article-title>
					<source>Ecol. Lett.</source>
					<volume>13</volume>
					<fpage>969</fpage>
					<lpage>979</lpage>
					<pub-id pub-id-type="doi">10.1111/j.1461-0248.2010.01487.x</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B43">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Olsen</surname>
							<given-names>E.M.</given-names>
						</string-name>
						<string-name>
							<surname>Heino</surname>
							<given-names>M.</given-names>
						</string-name>
						<string-name>
							<surname>Lilly</surname>
							<given-names>G.R.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2004</year>
					<article-title>Maturation trends indicative of rapid evolution preceded the collapse of northern cod</article-title>
					<source>Nature</source>
					<volume>428</volume>
					<fpage>932</fpage>
					<lpage>935</lpage>
					<pub-id pub-id-type="doi">10.1038/nature02430</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B44">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Olsen</surname>
							<given-names>EM</given-names>
						</string-name>
						<string-name>
							<surname>Lilly</surname>
							<given-names>GR</given-names>
						</string-name>
						<string-name>
							<surname>Heino</surname>
							<given-names>M</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2005</year>
					<article-title>Assessing changes in age and size at maturation in collapsing populations of Atlantic cod (<italic>Gadus morhua</italic>)</article-title>
					<source>Can. J. Fish. Aquat. Sci.</source>
					<volume>62</volume>
					<fpage>811</fpage>
					<lpage>823</lpage>
					<pub-id pub-id-type="doi">10.1139/f05-065</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B45">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Ottersen</surname>
							<given-names>G.</given-names>
						</string-name>
						<string-name>
							<surname>Planque</surname>
							<given-names>B.</given-names>
						</string-name>
						<string-name>
							<surname>Belgrano</surname>
							<given-names>A.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2001</year>
					<article-title>Ecological effects of the North Atlantic Oscillation</article-title>
					<source>Oecologia</source>
					<volume>128</volume>
					<fpage>1</fpage>
					<lpage>14</lpage>
					<pub-id pub-id-type="doi">10.1007/s004420100655</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B46">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Oven</surname>
							<given-names>L.S.</given-names>
						</string-name>
					</person-group>
					<year>2004</year>
					<article-title>Resorption of Vitellogenous Oocytes as an Indicator of the State of the Black Sea Fish Populations and Their Environment</article-title>
					<source>Journal of Ichthyology</source>
					<volume>44</volume>
					<fpage>115</fpage>
					<lpage>119</lpage>
				</mixed-citation>
			</ref>
			<ref id="B47">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Pepin</surname>
							<given-names>P.</given-names>
						</string-name>
					</person-group>
					<year>2015</year>
					<article-title>Reconsidering the impossible - linking environmental drivers to growth, mortality, and recruitment of fish</article-title>
					<source>Can. J. Fish. Aquat. Sci.</source>
					<volume>73</volume>
					<fpage>205</fpage>
					<lpage>215</lpage>
					<pub-id pub-id-type="doi">10.1139/cjfas-2015-0091</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B48">
				<mixed-citation publication-type="software">
					<person-group person-group-type="author">
						<collab>R Core Team</collab>
					</person-group>
					<year>2021</year>
					<source>R: A language and environment for statistical computing</source>
					<publisher-name>R Foundation for Statistical Computing</publisher-name>
					<version>4.1.2</version>
					<publisher-loc>Vienna, Austria</publisher-loc>
				</mixed-citation>
			</ref>
			<ref id="B49">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Sullivan</surname>
							<given-names>M.C.</given-names>
						</string-name>
						<string-name>
							<surname>Cowen</surname>
							<given-names>R.K.</given-names>
						</string-name>
						<string-name>
							<surname>Steves</surname>
							<given-names>B.P.</given-names>
						</string-name>
					</person-group>
					<year>2005</year>
					<article-title>Evidence for atmosphere-ocean forcing of yellowtail flounder (<italic>Limanda ferruginea</italic>) recruitment in the Middle Atlantic Bight</article-title>
					<source>Fish Oceanogr.</source>
					<volume>14</volume>
					<fpage>386</fpage>
					<lpage>399</lpage>
					<pub-id pub-id-type="doi">10.1111/j.1365-2419.2005.00343.x</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B50">
				<mixed-citation publication-type="software">
					<person-group person-group-type="author">
						<string-name>
							<surname>Torrej&#xf3;n-Magallanes</surname>
							<given-names>E.J.</given-names>
						</string-name>
					</person-group>
					<year>2020</year>
					<source>sizeMat: Estimate Size at Sexual Maturity</source>
					<comment>R package</comment>
					<version>1.1.2</version>
				</mixed-citation>
			</ref>
			<ref id="B51">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Trippel</surname>
							<given-names>E.A.</given-names>
						</string-name>
					</person-group>
					<year>1995</year>
					<article-title>Age at maturity as a stress indicator in fisheries</article-title>
					<source>Bioscience</source>
					<volume>45</volume>
					<fpage>759</fpage>
					<lpage>771</lpage>
					<pub-id pub-id-type="doi">10.2307/1312628</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B52">
				<mixed-citation publication-type="book">
					<person-group person-group-type="author">
						<string-name>
							<surname>Trippel</surname>
							<given-names>E.A.</given-names>
						</string-name>
						<string-name>
							<surname>Kjesbu</surname>
							<given-names>O.S.</given-names>
						</string-name>
						<string-name>
							<surname>Solemdal</surname>
							<given-names>P.</given-names>
						</string-name>
					</person-group>
					<year>1997</year>
					<chapter-title>Effects of adult age and size structure on reproductive output in marine fishes</chapter-title>
					<person-group person-group-type="editor">
						<string-name>
							<surname>Chambers</surname>
							<given-names>R.C.</given-names>
						</string-name>
						<string-name>
							<surname>Trippel</surname>
							<given-names>E.A.</given-names>
						</string-name>
					</person-group>
					<source>Early life history and recruitment in fish populations</source>
					<publisher-name>Chapman and Hall</publisher-name>
					<publisher-loc>London, U.K</publisher-loc>
					<fpage>31</fpage>
					<lpage>62</lpage>
					<pub-id pub-id-type="doi">10.1007/978-94-009-1439-1_2</pub-id>
				</mixed-citation>
			</ref>
			<ref id="B53">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Wei</surname>
							<given-names>T.</given-names>
						</string-name>
						<string-name>
							<surname>Simko</surname>
							<given-names>V.</given-names>
						</string-name>
						<string-name>
							<surname>Levy</surname>
							<given-names>M.</given-names>
						</string-name>
						<etal/>
					</person-group>
					<year>2017</year>
					<article-title>Package &#x2018;corrplot&#x2019;</article-title>
					<source>J. Am. Stat.</source>
					<volume>56</volume>
					<fpage>316</fpage>
					<lpage>324</lpage>
				</mixed-citation>
			</ref>
			<ref id="B54">
				<mixed-citation publication-type="book">
					<person-group person-group-type="author">
						<string-name>
							<surname>Wood</surname>
							<given-names>S.N.</given-names>
						</string-name>
					</person-group>
					<year>2006</year>
					<source>Generalized Additive Models: An Introduction with R</source>
					<publisher-name>Chapman &amp; Hall</publisher-name>
					<publisher-name>CRC</publisher-name>
					<series>Texts in Statistical Science</series>
				</mixed-citation>
			</ref>
			<ref id="B55">
				<mixed-citation publication-type="software">
					<person-group person-group-type="author">
						<string-name>
							<surname>Wood</surname>
							<given-names>S.N.</given-names>
						</string-name>
					</person-group>
					<year>2011</year>
					<source>Mgcv: GAMs with GCV/AIC/REML smoothness estimation and GAMMs by REML/PQL</source>
				</mixed-citation>
			</ref>
			<ref id="B56">
				<mixed-citation publication-type="book">
					<person-group person-group-type="author">
						<string-name>
							<surname>Wood</surname>
							<given-names>S.N.</given-names>
						</string-name>
					</person-group>
					<year>2017</year>
					<source>Generalized Additive Models: An Introduction with R</source>
					<edition>2</edition>
					<publisher-name>Chapman and Hall</publisher-name>
					<publisher-loc>CRC</publisher-loc>
					<publisher-loc>New York</publisher-loc>
					<size units="pages">496</size>
				</mixed-citation>
			</ref>
			<ref id="B57">
				<mixed-citation publication-type="journal">
					<person-group person-group-type="author">
						<string-name>
							<surname>Zuur</surname>
							<given-names>A.F.</given-names>
						</string-name>
						<string-name>
							<surname>Ieno</surname>
							<given-names>E.N.</given-names>
						</string-name>
						<string-name>
							<surname>Elphick</surname>
							<given-names>C.S.</given-names>
						</string-name>
					</person-group>
					<year>2010</year>
					<article-title>A protocol for data exploration to avoid common statistical problems</article-title>
					<source>Methods. Ecol. Evol.</source>
					<volume>1</volume>
					<fpage>3</fpage>
					<lpage>14</lpage>
					<pub-id pub-id-type="doi">10.1111/j.2041-210X.2009.00001.x</pub-id>
				</mixed-citation>
			</ref>
		</ref-list>
		<app-group>
			<app id="app1">
				<title>Supplementary material</title>
				<table-wrap id="ts1">
					<label>Table S1</label>
					<caption>
						<title>Number of hake samples per month and year.</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center"> </th>
								<th align="center">1</th>
								<th align="center">2</th>
								<th align="center">3</th>
								<th align="center">4</th>
								<th align="center">5</th>
								<th align="center">6</th>
								<th align="center">7</th>
								<th align="center">8</th>
								<th align="center">9</th>
								<th align="center">10</th>
								<th align="center">11</th>
								<th align="center">12</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="center">1980</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">177</td>
								<td align="right">115</td>
								<td align="right">333</td>
								<td align="right">0</td>
								<td align="right">97</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">99</td>
							</tr>
							<tr>
								<td align="center">1981</td>
								<td align="right">50</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">1982</td>
								<td align="right">81</td>
								<td align="right">43</td>
								<td align="right">152</td>
								<td align="right">61</td>
								<td align="right">31</td>
								<td align="right">30</td>
								<td align="right">33</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">1983</td>
								<td align="right">0</td>
								<td align="right">93</td>
								<td align="right">49</td>
								<td align="right">151</td>
								<td align="right">0</td>
								<td align="right">24</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">1984</td>
								<td align="right">22</td>
								<td align="right">142</td>
								<td align="right">302</td>
								<td align="right">232</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">48</td>
								<td align="right">22</td>
								<td align="right">0</td>
								<td align="right">119</td>
								<td align="right">122</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">1985</td>
								<td align="right">167</td>
								<td align="right">168</td>
								<td align="right">21</td>
								<td align="right">50</td>
								<td align="right">252</td>
								<td align="right">245</td>
								<td align="right">328</td>
								<td align="right">294</td>
								<td align="right">0</td>
								<td align="right">277</td>
								<td align="right">155</td>
								<td align="right">251</td>
							</tr>
							<tr>
								<td align="center">1986</td>
								<td align="right">63</td>
								<td align="right">181</td>
								<td align="right">45</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">103</td>
								<td align="right">0</td>
								<td align="right">93</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">1987</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">5</td>
								<td align="right">165</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">3</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">1988</td>
								<td align="right">0</td>
								<td align="right">76</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">462</td>
								<td align="right">240</td>
								<td align="right">231</td>
								<td align="right">91</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">1989</td>
								<td align="right">0</td>
								<td align="right">29</td>
								<td align="right">290</td>
								<td align="right">57</td>
								<td align="right">345</td>
								<td align="right">230</td>
								<td align="right">38</td>
								<td align="right">198</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">1990</td>
								<td align="right">0</td>
								<td align="right">98</td>
								<td align="right">130</td>
								<td align="right">43</td>
								<td align="right">14</td>
								<td align="right">66</td>
								<td align="right">0</td>
								<td align="right">142</td>
								<td align="right">0</td>
								<td align="right">34</td>
								<td align="right">58</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">1991</td>
								<td align="right">58</td>
								<td align="right">0</td>
								<td align="right">35</td>
								<td align="right">77</td>
								<td align="right">332</td>
								<td align="right">25</td>
								<td align="right">41</td>
								<td align="right">74</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">1992</td>
								<td align="right">0</td>
								<td align="right">26</td>
								<td align="right">134</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">1993</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">38</td>
								<td align="right">32</td>
								<td align="right">135</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">33</td>
							</tr>
							<tr>
								<td align="center">1994</td>
								<td align="right">0</td>
								<td align="right">83</td>
								<td align="right">60</td>
								<td align="right">0</td>
								<td align="right">143</td>
								<td align="right">36</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">12</td>
								<td align="right">20</td>
								<td align="right">117</td>
								<td align="right">35</td>
							</tr>
							<tr>
								<td align="center">1995</td>
								<td align="right">0</td>
								<td align="right">81</td>
								<td align="right">154</td>
								<td align="right">175</td>
								<td align="right">0</td>
								<td align="right">94</td>
								<td align="right">67</td>
								<td align="right">32</td>
								<td align="right">10</td>
								<td align="right">0</td>
								<td align="right">80</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">1996</td>
								<td align="right">0</td>
								<td align="right">5</td>
								<td align="right">227</td>
								<td align="right">8</td>
								<td align="right">83</td>
								<td align="right">152</td>
								<td align="right">71</td>
								<td align="right">199</td>
								<td align="right">201</td>
								<td align="right">16</td>
								<td align="right">41</td>
								<td align="right">18</td>
							</tr>
							<tr>
								<td align="center">1997</td>
								<td align="right">12</td>
								<td align="right">73</td>
								<td align="right">101</td>
								<td align="right">8</td>
								<td align="right">47</td>
								<td align="right">119</td>
								<td align="right">0</td>
								<td align="right">143</td>
								<td align="right">0</td>
								<td align="right">110</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">1998</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">101</td>
								<td align="right">0</td>
								<td align="right">162</td>
								<td align="right">0</td>
								<td align="right">23</td>
								<td align="right">0</td>
								<td align="right">5</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">1999</td>
								<td align="right">0</td>
								<td align="right">76</td>
								<td align="right">83</td>
								<td align="right">51</td>
								<td align="right">34</td>
								<td align="right">0</td>
								<td align="right">2</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">2</td>
								<td align="right">0</td>
								<td align="right">3</td>
							</tr>
							<tr>
								<td align="center">2000</td>
								<td align="right">31</td>
								<td align="right">43</td>
								<td align="right">7</td>
								<td align="right">50</td>
								<td align="right">0</td>
								<td align="right">40</td>
								<td align="right">22</td>
								<td align="right">0</td>
								<td align="right">76</td>
								<td align="right">0</td>
								<td align="right">55</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">2001</td>
								<td align="right">10</td>
								<td align="right">14</td>
								<td align="right">42</td>
								<td align="right">0</td>
								<td align="right">22</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">2002</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">74</td>
								<td align="right">177</td>
								<td align="right">133</td>
								<td align="right">0</td>
								<td align="right">35</td>
								<td align="right">40</td>
								<td align="right">27</td>
								<td align="right">12</td>
							</tr>
							<tr>
								<td align="center">2003</td>
								<td align="right">95</td>
								<td align="right">280</td>
								<td align="right">164</td>
								<td align="right">159</td>
								<td align="right">323</td>
								<td align="right">298</td>
								<td align="right">358</td>
								<td align="right">146</td>
								<td align="right">48</td>
								<td align="right">103</td>
								<td align="right">195</td>
								<td align="right">140</td>
							</tr>
							<tr>
								<td align="center">2004</td>
								<td align="right">272</td>
								<td align="right">162</td>
								<td align="right">284</td>
								<td align="right">164</td>
								<td align="right">200</td>
								<td align="right">281</td>
								<td align="right">80</td>
								<td align="right">165</td>
								<td align="right">140</td>
								<td align="right">63</td>
								<td align="right">318</td>
								<td align="right">64</td>
							</tr>
							<tr>
								<td align="center">2005</td>
								<td align="right">138</td>
								<td align="right">198</td>
								<td align="right">260</td>
								<td align="right">75</td>
								<td align="right">272</td>
								<td align="right">3</td>
								<td align="right">215</td>
								<td align="right">419</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">286</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">2006</td>
								<td align="right">248</td>
								<td align="right">116</td>
								<td align="right">80</td>
								<td align="right">348</td>
								<td align="right">0</td>
								<td align="right">33</td>
								<td align="right">224</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">52</td>
							</tr>
							<tr>
								<td align="center">2007</td>
								<td align="right">162</td>
								<td align="right">39</td>
								<td align="right">258</td>
								<td align="right">161</td>
								<td align="right">116</td>
								<td align="right">143</td>
								<td align="right">118</td>
								<td align="right">78</td>
								<td align="right">148</td>
								<td align="right">52</td>
								<td align="right">0</td>
								<td align="right">109</td>
							</tr>
							<tr>
								<td align="center">2008</td>
								<td align="right">152</td>
								<td align="right">225</td>
								<td align="right">25</td>
								<td align="right">246</td>
								<td align="right">65</td>
								<td align="right">75</td>
								<td align="right">84</td>
								<td align="right">157</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">76</td>
								<td align="right">153</td>
							</tr>
							<tr>
								<td align="center">2009</td>
								<td align="right">140</td>
								<td align="right">21</td>
								<td align="right">29</td>
								<td align="right">100</td>
								<td align="right">27</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">169</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">2010</td>
								<td align="right">147</td>
								<td align="right">106</td>
								<td align="right">66</td>
								<td align="right">112</td>
								<td align="right">48</td>
								<td align="right">0</td>
								<td align="right">151</td>
								<td align="right">0</td>
								<td align="right">41</td>
								<td align="right">0</td>
								<td align="right">11</td>
								<td align="right">25</td>
							</tr>
							<tr>
								<td align="center">2011</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">286</td>
								<td align="right">0</td>
								<td align="right">20</td>
								<td align="right">0</td>
								<td align="right">62</td>
								<td align="right">112</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">106</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">2012</td>
								<td align="right">44</td>
								<td align="right">71</td>
								<td align="right">121</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">2013</td>
								<td align="right">0</td>
								<td align="right">30</td>
								<td align="right">0</td>
								<td align="right">98</td>
								<td align="right">47</td>
								<td align="right">97</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">56</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">36</td>
							</tr>
							<tr>
								<td align="center">2014</td>
								<td align="right">0</td>
								<td align="right">51</td>
								<td align="right">0</td>
								<td align="right">23</td>
								<td align="right">110</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">18</td>
							</tr>
							<tr>
								<td align="center">2015</td>
								<td align="right">0</td>
								<td align="right">73</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">18</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">2016</td>
								<td align="right">0</td>
								<td align="right">76</td>
								<td align="right">95</td>
								<td align="right">37</td>
								<td align="right">79</td>
								<td align="right">49</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">2017</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">20</td>
								<td align="right">270</td>
								<td align="right">0</td>
								<td align="right">50</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">42</td>
								<td align="right">38</td>
							</tr>
							<tr>
								<td align="center">2018</td>
								<td align="right">0</td>
								<td align="right">65</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">72</td>
								<td align="right">15</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">43</td>
								<td align="right">0</td>
							</tr>
							<tr>
								<td align="center">2019</td>
								<td align="right">46</td>
								<td align="right">46</td>
								<td align="right">0</td>
								<td align="right">56</td>
								<td align="right">119</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
								<td align="right">0</td>
							</tr>
						</tbody>
					</table>
				</table-wrap>
			</app>
			<app id="app2">
				<title>Missing values</title>
				<p>In this section, a graphical analysis is presented to illustrate the data for size at maturity (for males and females) and the relative condition factor (for males and females) during the study period before imputing missing values.</p>
				<p>
					<italic>Missing values for size at maturity</italic>
				</p>
				<fig id="fs1">
					<label>Fig. S1</label>
					<caption>
						<title>Annual variation of the size at maturity for male (A) and female (B) hakes before imputation of missing values.</title>
					</caption>
					<graphic id="gra-6" xlink:href="SCIMAR-86-04-e046-gfs1.png"/>
				</fig>
				<p>
					<italic>Missing values for relative condition factor</italic>
				</p>
				<fig id="fs2">
					<label>Fig. S2</label>
					<caption>
						<title>Annual variation of the relative condition factor for male (A) and female (B) hakes before imputation of missing values.
						</title>
					</caption>
					<graphic id="gra-7" xlink:href="SCIMAR-86-04-e046-gfs2.png"/>
				</fig>
			</app>
			<app id="app3">
				<title>Correlation and multicollinearity analysis</title>
				<p>In this section, data exploration techniques were presented to identify possible correlation and collinearity between the explanatory variables (<xref ref-type="bibr" rid="B57">Zuur et al. 2010</xref>) used for males and females in L<sub>50</sub> GAM models. In particular, correlation among variables was checked by performing a Pearson correlation test with the <italic>corrplot</italic> package (<xref ref-type="bibr" rid="B53">Wei et al. 2017</xref>) of the R software. Collinearity was tested by computing the GVIFs, which are the VIF values corrected by the number of degrees of freedom of a predictor variable (<xref ref-type="bibr" rid="B12">Fox and Weisberg 2017</xref>).</p>
				<p>
					<italic>European hake males</italic>
				</p>
				<fig id="fs3">
					<label>Fig. S3</label>
					<caption>
						<title>Correlation matrix between predictor variables using regression for male L<sub>50</sub>with Pearson correlation coefficients.</title>
						<p>Colour intensity (light to dark) and size of circles are proportional to Pearson correlation coefficients; positive correlations are represented in blue and negative correlations in red. Significant values are shown (p&lt;0.05). NAO, North Atlantic Oscillation; AMO, Atlantic Multidecadal Oscillation; SST, sea surface temperature; SSB, spawning stock biomass at length; BIO, biomass; Kn, relative condition factor.</p>
					</caption>
					<graphic id="gra-8" xlink:href="SCIMAR-86-04-e046-gfs3.png"/>
					<attrib>(<italic>corrplot</italic> package; <xref ref-type="bibr" rid="B53">Wei et al. 2017</xref>)</attrib>
				</fig>
				<table-wrap id="ts2">
					<label>Table S2</label>
					<caption>
						<title>Checking for multicollinearity predictors variables using regression for male L<sub>50</sub> with generalized variance inflation factors (GVIF). GVIF values &lt;3 demonstrate an absence of collinearity issues. NAO, North Atlantic Oscillation; AMO, Atlantic Multidecadal Oscillation; SST, sea surface temperature; SSB_length, spawning stock biomass at length; BIO, biomass; Kn, relative condition factor.</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center">Predictor variables</th>
								<th align="center">GVIF</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="center">Year</td>
								<td align="center">2.944590</td>
							</tr>
							<tr>
								<td align="center">AMO</td>
								<td align="center">3.234100</td>
							</tr>
							<tr>
								<td align="center">NAO</td>
								<td align="center">1.135156</td>
							</tr>
							<tr>
								<td align="center">SST</td>
								<td align="center">2.432250</td>
							</tr>
							<tr>
								<td align="center">Kn</td>
								<td align="center">1.161385</td>
							</tr>
							<tr>
								<td align="center">BIO</td>
								<td align="center">2.366113</td>
							</tr>
							<tr>
								<td align="center">SSB_length</td>
								<td align="center">1.304750</td>
							</tr>
						</tbody>
					</table>
				</table-wrap>
				<p>
					<italic>European hake females</italic>
				</p>
				<fig id="fs4">
					<label>Fig. S4</label>
					<caption>
						<title>Correlation matrix between predictor variables using regression for female L<sub>50</sub> with Pearson correlation coefficients.</title>
						<p>Colour intensity (light to dark) and size of circles are proportional to Pearson correlation coefficients; positive correlations positive correlations are represented in blue and negative correlations in red. Significant values are shown (p&lt;0.05). NAO, North Atlantic Oscillation; AMO, Atlantic Multidecadal Oscillation; SST, sea surface temperature; SSB, spawning stock biomass at length; BIO, biomass; Kn, relative condition factor.</p>
					</caption>
					<graphic id="gra-9" xlink:href="SCIMAR-86-04-e046-gfs4.png"/>
					<attrib>(<italic>corrplot</italic> package; <xref ref-type="bibr" rid="B53">Wei and Simko, 2017</xref>)</attrib>
				</fig>
				<table-wrap id="ts3">
					<label>Table S3</label>
					<caption>
						<title>Checking for multicollinearity predictor variables using regression for female L<sub>50</sub> with generalized variance inflation factors (GVIF). GVIF values &lt;3 demonstrate an absence of collinearity issues. Variables acronyms are: NAO, North Atlantic Oscillation; AMO, Atlantic Multidecadal Oscillation; SST, sea surface temperature; SSB_length, spawning stock biomass at length; BIO, biomass; Kn, relative condition factor.</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center">Predictors variables</th>
								<th align="center">GVIF</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="center">Year</td>
								<td align="center">3.278021</td>
							</tr>
							<tr>
								<td align="center">AMO</td>
								<td align="center">3.436279</td>
							</tr>
							<tr>
								<td align="center">NAO</td>
								<td align="center">1.130783</td>
							</tr>
							<tr>
								<td align="center">SST</td>
								<td align="center">2.499691</td>
							</tr>
							<tr>
								<td align="center">Kn</td>
								<td align="center">1.494685</td>
							</tr>
							<tr>
								<td align="center">BIO</td>
								<td align="center">2.304125</td>
							</tr>
							<tr>
								<td align="center">SSB_length</td>
								<td align="center">1.459627</td>
							</tr>
						</tbody>
					</table>
				</table-wrap>
			</app>
			<app id="app4">
				<title>Backward procedure of models</title>
				<p>Covariables for each final GAM were selected with a backward stepwise procedure based on the AIC and adjusted R-square. The best (and most parsimonious) model was finally chosen based on the compromise between low AIC values, high adjusted R-square and significant predictors.</p>
				<p>
					<italic>European hake males</italic>
				</p>
				<table-wrap id="ts4">
					<label>Table S4</label>
					<caption>
						<title>Comparison between the generalized additive models of the L<sub>50</sub> of European hake males during the study period (1982-2019). NAO, North Atlantic Oscillation; SST, sea surface temperature; SSB_length, spawning stock biomass at length; BIO, biomass; Kn, relative condition factor; D2 (%), deviance explained; AIC, Akaike information criterion. With respect to the model, s() indicates smooth function. bs specifies the type of function we are going to approximate, in this case we select &#x201c;cr&#x201d; cubic regression; K indicates the degree of the polynomial of the curve; and REML is the restricted maximum likelihood used to estimate these parameters.</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center">Models</th>
								<th align="center">D2 (%) </th>
								<th align="center">AIC</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="center">m&lt;-gam(L<sub>50</sub> ~s(Year,bs=&#x201d;cr&#x201d;,k=6)+s(NAO,bs=&#x201d;cr&#x201d;,k=6)+s(SST,bs=&#x201d;cr&#x201d;,k=6)+s(SSB_length,bs=&#x201d;cr&#x201d;,k=6)+s(BIO,bs=&#x201d;cr&#x201d;,k=6)+s(Kn,bs=&#x201d;cr&#x201d;,k=6),method=&#x201d;REML&#x201d;,data=L<sub>50</sub>mb) </td>
								<td align="center">63.8%</td>
								<td align="center">195.07</td>
							</tr>
							<tr>
								<td align="center">m&lt;-gam(L<sub>50</sub> ~s(Year,bs=&#x201d;cr&#x201d;,k=6)+s(NAO,bs=&#x201d;cr&#x201d;,k=6)+s(SSB_length,bs=&#x201d;cr&#x201d;,k=6)+s(K<sub>n</sub>,bs=&#x201d;cr&#x201d;,k=6),method=&#x201d;REML&#x201d;,data=L<sub>50</sub>mb) </td>
								<td align="center">61.6%</td>
								<td align="center">191.94</td>
							</tr>
							<tr>
								<td align="center">m&lt;-gam(L<sub>50</sub>m~s(Year,bs=&#x201d;cr&#x201d;,k=6)+s(NAO,bs=&#x201d;cr&#x201d;,k=6)+s(SSB_length,bs=&#x201d;cr&#x201d;,k=6),method=&#x201d;REML&#x201d;,data=L<sub>50</sub>mb) </td>
								<td align="center">59.8%</td>
								<td align="center">191.71</td>
							</tr>
							<tr>
								<td align="center">m&lt;-gam(L<sub>50</sub>m~s(Year,bs=&#x201d;cr&#x201d;,k=7)+s(NAO,bs=&#x201d;cr&#x201d;,k=7),method=&#x201d;REML&#x201d;,data=L<sub>50</sub>mb) </td>
								<td align="center">57.5%</td>
								<td align="center">191.75</td>
							</tr>
							<tr>
								<td align="center">m&lt;-gam(L<sub>50</sub>m~s(Year,bs=&#x201d;cr&#x201d;,k=5),method=&#x201d;REML&#x201d;,data=L<sub>50</sub>mb) </td>
								<td align="center">55.3%</td>
								<td align="center">193.65</td>
							</tr>
						</tbody>
					</table>
				</table-wrap>
				<p>
					<italic>European hake females</italic>
				</p>
				<table-wrap id="ts5">
					<label>Tabla S5</label>
					<caption>
						<title>Comparison between the generalized additive models of the L50 of European hake males during the study period (1982-2019). NAO, North Atlantic Oscillation; SST, sea surface temperature; SSB_length, spawning stock biomass at length; BIO, biomass; Kn, relative condition factor; D2 (%), deviance explained; AIC, Akaike information criterion. With respect to the model, s() indicates smooth function. bs = specifies the type of function we are going to approximate, in this case we select &#x201c;cr&#x201d; = cubic regression; K indicates the degree of the polynomial of the curve; and REML is the restricted maximum likelihood used to estimate these parameters .</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center">Models</th>
								<th align="center">D2 (%) </th>
								<th align="center">AIC</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="center">m&lt;-gam(L<sub>50</sub>~s(Year,bs=&#x201d;cr&#x201d;,k=6)+s(SSB_length,bs=&#x201d;cr&#x201d;,k=6)+s(NAO,bs=&#x201d;cr&#x201d;,k=6)+s(SST,bs=&#x201d;cr&#x201d;,k=6)+s(BIO,k=6,bs=&#x201d;cr&#x201d;)+s(Kn, k=6, bs= &#x201c;cr&#x201d;), method = &#x201c;REML&#x201d;,data=L<sub>50</sub>)</td>
								<td align="center">76.8%</td>
								<td align="center">172.31</td>
							</tr>
							<tr>
								<td align="center">m&lt;-gam(L<sub>50</sub>~s(Year, bs = &#x201c;cr&#x201d;, k= 6)+s(SSB_length,bs=&#x201d;cr&#x201d;,k=6)+s(NAO,bs=&#x201d;cr&#x201d;,k=6)+s(BIO,k=6,bs=&#x201d;cr&#x201d;)+s(Kn,k=6,bs=&#x201d;cr&#x201d;),method=&#x201d;REML&#x201d;,data=L<sub>50</sub>)</td>
								<td align="center">76.8%</td>
								<td align="center">170.49</td>
							</tr>
							<tr>
								<td align="center">m&lt;-gam(L<sub>50</sub>~s(Year,bs=&#x201d;cr&#x201d;,k=7)+s(SSB_length, bs=&#x201d;cr&#x201d;, k=7)+s(NAO,bs=&#x201d;cr&#x201d;,k=7)+s(BIO,k=7,bs=&#x201d;cr&#x201d;),method=&#x201d;REML&#x201d;,data=L<sub>50</sub>)</td>
								<td align="center">76.8%</td>
								<td align="center">169.21</td>
							</tr>
						</tbody>
					</table>
				</table-wrap>
			</app>
			<app id="app5">
				<title>Residual analysis for generalized additive models</title>
				<p>This section presents the contrasts of the basic hypotheses on the residuals of the GAMs addressed in this study to explain the annual variability of the size at maturity for male and female European hakes.</p>
				<p>
					<italic>European hake males</italic>
				</p>
				<table-wrap id="ts6">
					<label>Table S6</label>
					<caption>
						<title>Tests of the hypotheses on the residuals of the model for the size at maturity of males.</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center">Test</th>
								<th align="center">Hypotheses</th>
								<th align="center">P-value</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="center">Jarque-Bera</td>
								<td align="center">Normality</td>
								<td align="center">0.587</td>
							</tr>
							<tr>
								<td align="center">Shapiro-Wilk</td>
								<td align="center">Normality</td>
								<td align="center">0.5972</td>
							</tr>
							<tr>
								<td align="center">Dickye-Fuller </td>
								<td align="center">Stationarity</td>
								<td align="center">0.01</td>
							</tr>
							<tr>
								<td align="center">Student&#x2019;s t</td>
								<td align="center">Zero mean</td>
								<td align="center">1</td>
							</tr>
						</tbody>
					</table>
				</table-wrap>
				<fig id="fs5">
					<label>Fig. S5</label>
					<caption>
						<title>Graphical contrasts on the model residuals.</title>
						<p>The upper left corresponds to the P-values of the Ljung-Box. The upper left-hand side is the p-value of the Ljung-Box independence contrast and the upper right-hand side is the sign of the homoscedasticity of the model residuals. The lower graphs represent the simple and partial correlations of the residuals.</p>
					</caption>
					<graphic id="gra-10" xlink:href="SCIMAR-86-04-e046-gfs5.png"/>
				</fig>
				<p>
					<italic>European hake females</italic>
				</p>
				<table-wrap id="ts7">
					<label>Table S7</label>
					<caption>
						<title>Tests of the hypotheses on the residuals of the model for the size at maturity of females.</title>
					</caption>
					<table>
						<colgroup>
							<col/>
							<col/>
							<col/>
						</colgroup>
						<thead>
							<tr>
								<th align="center">Test</th>
								<th align="center">Hypotheses</th>
								<th align="center">P-value</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="center">Jarque-Bera</td>
								<td align="center">Normality</td>
								<td align="center">0.9266</td>
							</tr>
							<tr>
								<td align="center">Shapiro-Wilk</td>
								<td align="center">Normality</td>
								<td align="center">0.9836</td>
							</tr>
							<tr>
								<td align="center">Dickye-Fuller </td>
								<td align="center">Stationarity</td>
								<td align="center">0.01</td>
							</tr>
							<tr>
								<td align="center">Student&#x2019;s </td>
								<td align="center">Zero mean</td>
								<td align="center">1</td>
							</tr>
						</tbody>
					</table>
				</table-wrap>
				<fig id="fs6">
					<label>Fig. S6</label>
					<caption>
						<title>Graphical contrasts on the model residuals.</title>
						<p>The upper left-hand side is the p-value of the Ljung-Box independence contrast and the upper right-hand side is the sign of the homoscedasticity of the model residuals. The lower graphs represent the simple and partial correlations of the residuals.</p>
					</caption>
					<graphic id="gra-11" xlink:href="SCIMAR-86-04-e046-gfs6.png"/>
				</fig>
			</app>
		</app-group>
	</back>
</article>