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	<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.05284.045</article-id>
			<article-id pub-id-type="doi">10.3989/scimar.05284.045</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Art&#xed;culos</subject>
				</subj-group>
				<subj-group subj-group-type="category-toc-heading">
					<subject>Iberoamerican fisheriesand fish reproductive ecology</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Expansion and contraction of the <italic>Engraulis ringens</italic> spawning area in northern Chile</article-title>
				<trans-title-group xml:lang="es">
					<trans-title>Expansi&#xf3;n y contracci&#xf3;n del &#xe1;rea de desove de <italic>Engraulis ringens</italic> en el norte de Chile</trans-title>
				</trans-title-group>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author" corresp="yes">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1041-4632</contrib-id>
					<name>
						<surname>Moreno</surname>
						<given-names>Paola</given-names>
					</name>
					<email xlink:href="paolmorenogon@gmail.com">paolmorenogon@gmail.com</email>
					<aff id="aff1"><institution content-type="programme">Programa Magister en Ciencias Aplicadas menci&#xf3;n Biolog&#xed;a Pesquera</institution>, <institution content-type="faculty">Facultad de Recursos Naturales Renovables</institution>, <institution>Universidad Arturo Prat</institution>, <addr-line>Avenida Arturo Prat 2120, Iquique, Casilla 121</addr-line>, <country>Chile</country>.</aff>
					<aff id="aff1a"><institution content-type="faculty">Facultad de Recursos Naturales Renovables</institution>, <institution>Universidad Arturo Prat</institution>, <addr-line>Avenida Arturo Prat 2120, Iquique, Casilla 121</addr-line>, <country>Chile</country>.</aff>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0490-6734</contrib-id>
					<name>
						<surname>Claramunt</surname>
						<given-names>Gabriel</given-names>
					</name>
					<email xlink:href="gclaramu@gmail.com">gclaramu@gmail.com</email>
					<aff id="aff2"><institution content-type="faculty">Facultad de Recursos Naturales Renovables</institution>, <institution>Universidad Arturo Prat</institution>, <addr-line>Avenida Arturo Prat 2120, Iquique, Casilla 121</addr-line>, <country>Chile</country>.</aff>
				</contrib>
				<contrib contrib-type="editor">
					<name>
						<surname>Dominguez Petit</surname>
						<given-names>R.</given-names>
					</name>
				</contrib>
				<contrib contrib-type="editor">
					<name>
						<surname>Bahamon</surname>
						<given-names>N.</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>17</day>
				<month>10</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>e045</elocation-id>
			<history>
				<date date-type="received">
					<day>18</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>29</day>
					<month>10</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>Many studies have considered the temporal patterns of reproduction of <italic>Engraulis ringens</italic>, but little attention has been given to the spatial patterns of reproduction (spawning areas), which have shown great variability in both location (geographical position) and extent (the area covered by positive stations), without a satisfactory explanation. Along the Chilean coast, the daily egg production method (DEPM) has been used for several years to estimate spawning biomass in the northern Chile <italic>E. ringens</italic> population, with 24 surveys being carried out from 1992 to 2020. The most fluctuating parameters estimated in the DEPM have been the location and extent of the spawning area and the average female weight. In the last few years the eggs were distributed near the coast, whereas in the first few years they showed a more oceanic distribution. The average female weight has fallen from 30 g in the 1990s to 11 g in the last few years. In the present study, we analysed the relationship of the location and extent of spawning areas with female size and abundancy in <italic>E. ringens</italic> from northern Chile. According to the results, periods of high abundancy of eggs are positively correlated with larger females that spawn in more oceanic zones and to the south, expanding the spatial egg distribution and increasing the egg density. By contrast, in years with low abundance of eggs, the spawning was located north and towards the coast, with a smaller spawning area and smaller female size.</p>
			</abstract>
			<trans-abstract xml:lang="es">
				<title>Resumen</title>
				<p>Han habido muchos estudios sobre los patrones temporales en la reproducci&#xf3;n de <italic>Engraulis ringens</italic>, sin embargo, se ha prestado poca atenci&#xf3;n a los patrones espaciales de reproducci&#xf3;n (&#xe1;reas de desove), que han mostrado una gran variabilidad tanto en la ubicaci&#xf3;n (posici&#xf3;n geogr&#xe1;fica) como en la extensi&#xf3;n (&#xe1;rea cubierta por estaciones positivas), sin tener explicaci&#xf3;n satisfactoria. A lo largo de la costa chilena, el m&#xe9;todo de producci&#xf3;n diaria de huevos (MPDH) se ha utilizado durante varios a&#xf1;os para estimar la biomasa desovante de <italic>E. ringens</italic> del norte de Chile, con 24 aplicaciones desde 1992 hasta 2020. Los par&#xe1;metros m&#xe1;s fluctuantes estimados en el MPDH han sido la zona de desove, tanto en localizaci&#xf3;n como en extensi&#xf3;n y el peso medio de las hembras. En los &#xfa;ltimos a&#xf1;os los huevos se han distribuido cerca de la costa en contraste con los primeros a&#xf1;os con una distribuci&#xf3;n m&#xe1;s oce&#xe1;nica. El promedio del peso de las hembras se ha reducido de 30 g en la d&#xe9;cada de los 90 a 11 g en los &#xfa;ltimos a&#xf1;os. En el presente estudio analizamos la relaci&#xf3;n entre la ubicaci&#xf3;n y extensi&#xf3;n de las &#xe1;reas de desove, con el peso de las hembras y su abundancia en <italic>E. ringens</italic> del norte de Chile. Seg&#xfa;n los resultados, los per&#xed;odos de alta abundancia de huevos se correlacionan positivamente con hembras m&#xe1;s grandes que desovan en zonas m&#xe1;s oce&#xe1;nicas y hacia el sur, expandiendo la distribuci&#xf3;n espacial de huevos y aumentando la densidad de huevos. Por el contrario, en a&#xf1;os donde se registr&#xf3; baja abundancia de huevos, el desove se ubic&#xf3; al norte y hacia la costa con menor &#xe1;rea de desove y menor tama&#xf1;o de las hembras.</p>
			</trans-abstract>
			<kwd-group>
				<kwd>anchovy</kwd>
				<kwd>reproduction</kwd>
				<kwd>spawning areas</kwd>
			</kwd-group>
			<kwd-group xml:lang="es">
				<kwd>anchoveta</kwd>
				<kwd>reproducci&#xf3;n</kwd>
				<kwd>&#xe1;reas de desove</kwd>
			</kwd-group>
			<counts>
				<fig-count count="6"/>
				<table-count count="3"/>
				<equation-count count="1"/>
				<ref-count count="27"/>
				<page-count count="8"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec id="sec1" sec-type="intro">
			<title>Introduction</title>
			<p>The anchoveta, <italic>Engraulis ringens</italic> Jenyns 1842, from northern Chile has a short life cycle, a fast growth rate and therefore a naturally high mortality rate (<xref ref-type="bibr" rid="B13">Cubillos and Arancibia 1993</xref>, <xref ref-type="bibr" rid="B15">Cubillos et al. 2001</xref>). Juveniles typically recruit to the fisheries around five months after hatching (<xref ref-type="bibr" rid="B8">Castillo and Plaza 2016</xref>). The spawning season of the species tends to occur in winter (Southern Hemisphere) and extends from July to September with a peak between August and September (<xref ref-type="bibr" rid="B11">Claramunt et al. 2014</xref>). Many studies have considered the temporal patterns of reproduction of the anchoveta (<xref ref-type="bibr" rid="B14">Cubillos and Claramunt 2009</xref>, <xref ref-type="bibr" rid="B11">Claramunt et al. 2014</xref>, <xref ref-type="bibr" rid="B17">Hern&#xe1;ndez et al. 2013</xref>), but little attention has been given to the spatial patterns of reproduction (spawning areas), which have shown great variability in both location (geographical position) and extent (the area covered by positive stations), without a satisfactory explanation. According to <xref ref-type="bibr" rid="B7">Castillo-Jord&#xe1;n et al. (2007)</xref>, GAM models indicate that in southern Chile egg density distribution is better explained by a bivariate function of longitude and latitude together with bottom depth. However, since in this case egg densities depend exclusively on parameters that are not directly sensitive for fish, the results are not satisfactory from a biological point of view (<xref ref-type="bibr" rid="B7">Castillo-Jord&#xe1;n et al. 2007</xref>). For northern populations there is no explanation yet for the changes in the location or extent of their spawning areas. In a study of spawning habitat preferences, <xref ref-type="bibr" rid="B10">Claramunt et al. (2012)</xref> concluded that chlorophyll concentration could be a relevant variable in female spawning habitat selection, but this does not explain interannual expansion and contraction of the spawning area.</p>
			<p>Along the Chilean coast, the daily egg production method has been used for several years to estimate spawning biomass in the northern Chile <italic>E. ringens</italic> population, with 24 surveys being carried out from 1992 to 2020. One of the great advantages of this method is that in addition to abundance estimates it provides valuable information about the reproductive biology of the stocks, through intensive sampling of the ichthyoplankton and adult females (<xref ref-type="bibr" rid="B12">Claramunt et al. 2019</xref>, <xref ref-type="bibr" rid="B10">Claramunt et al. 2012</xref>). The most fluctuating parameters estimated in the daily egg production method have been location and extent of the spawning area and the average female weight. In the spawning area, changes occurred in latitude and coast-ocean directions. In the last few years the eggs were distributed near the coast, whereas the first few years they showed a more oceanic distribution. The average female weight has fallen from 30 g in the 1090s to 11 g in the last few years. In the present study, we analysed the relationship of the location and extent of the spawning areas with female size and abundancy in <italic>E. ringens</italic> from northern Chile.</p>
		</sec>
		<sec id="sec2" sec-type="materials|methods">
			<title>Materials and methods</title>
			<p>This study used information found in the database of the daily egg production method programme, which consisted of research cruises carried out during the peak spawning season from 1992 to 2020, except the years 1993, 1994, 1998 and 2010, making a total of 25 cruises (<xref ref-type="table" rid="t1">Table 1</xref>). The study area covered the northern region of Chile, from 18&#xb0;20&#x2019;S (Arica) to 26&#xb0;03&#x2019;S (Carrizalillo), and from the coast to 60 or 80 nautical miles (nm) seaward, with transects every 10 nm and stations every 5 nm. At every station, eggs were collected using a CalVET plankton net with a 0.05 m<sup>2</sup> mouth area equipped with a 250 &#xb5;m mesh size net. Simultaneously purse-seine boats were used for annual adult surveys, which sampled a minimum of 30 females in each of the 40 hauls.</p>
			<table-wrap id="t1">
				<label>Table 1</label>
				<caption>
					<title>Information used in the study. Stations (+): number of stations with anchovy eggs. CG, centre of gravity in latitude (&#xb0;S) and longitude (&#xb0;W); A, survey area; A(+), spawning area; A(+)/A, spawning area/survey area.</title>
				</caption>
				<table>
					<colgroup>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead>
						<tr>
							<th align="left"> </th>
							<th align="center">Stations</th>
							<th align="center">Stations (+)</th>
							<th align="center">Egg density</th>
							<th align="center">Survey area</th>
							<th align="center">Spawning area</th>
							<th align="center">A(+)/A</th>
							<th align="center">Female weight</th>
							<th align="center">CG Latitude</th>
							<th align="center">CG Longitude</th>
							<th align="center">Annual catch</th>
						</tr>
						<tr>
							<th align="center">Year</th>
							<th align="center">N&#xba;</th>
							<th align="center">N&#xba;</th>
							<th align="center">N&#xb0;/0.05 m<sup>2</sup>
							</th>
							<th align="center">mn<sup>2</sup>
							</th>
							<th align="center">mn<sup>2</sup>
							</th>
							<th align="left"> </th>
							<th align="center">g</th>
							<th align="center">&#xb0;S</th>
							<th align="center">&#xb0;W</th>
							<th align="center">t*1000</th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="center">1992</td>
							<td align="center">542</td>
							<td align="center">212</td>
							<td align="center">20.2</td>
							<td align="center">18341.8</td>
							<td align="center">9966.5</td>
							<td align="center">0.54</td>
							<td align="center">21.0</td>
							<td align="center">19.94</td>
							<td align="center">70.61</td>
							<td align="center">954</td>
						</tr>
						<tr>
							<td align="center">1995</td>
							<td align="center">578</td>
							<td align="center">209</td>
							<td align="center">13.3</td>
							<td align="center">18794.6</td>
							<td align="center">8710.3</td>
							<td align="center">0.46</td>
							<td align="center">29.0</td>
							<td align="center">22.40</td>
							<td align="center">70.76</td>
							<td align="center">1482</td>
						</tr>
						<tr>
							<td align="center">1996</td>
							<td align="center">752</td>
							<td align="center">176</td>
							<td align="center">8.9</td>
							<td align="center">19668.5</td>
							<td align="center">6422.9</td>
							<td align="center">0.33</td>
							<td align="center">30.0</td>
							<td align="center">21.10</td>
							<td align="center">70.66</td>
							<td align="center">840</td>
						</tr>
						<tr>
							<td align="center">1997</td>
							<td align="center">800</td>
							<td align="center">209</td>
							<td align="center">10.1</td>
							<td align="center">28713.7</td>
							<td align="center">10328.2</td>
							<td align="center">0.36</td>
							<td align="center">21.7</td>
							<td align="center">21.92</td>
							<td align="center">70.72</td>
							<td align="center">1317</td>
						</tr>
						<tr>
							<td align="center">1999</td>
							<td align="center">598</td>
							<td align="center">132</td>
							<td align="center">12.7</td>
							<td align="center">28018.7</td>
							<td align="center">7182.8</td>
							<td align="center">0.26</td>
							<td align="center">23.0</td>
							<td align="center">21.72</td>
							<td align="center">70.53</td>
							<td align="center">809</td>
						</tr>
						<tr>
							<td align="center">2000</td>
							<td align="center">502</td>
							<td align="center">212</td>
							<td align="center">20.9</td>
							<td align="center">20186.8</td>
							<td align="center">10212.8</td>
							<td align="center">0.51</td>
							<td align="center">30.9</td>
							<td align="center">21.59</td>
							<td align="center">70.64</td>
							<td align="center">1154</td>
						</tr>
						<tr>
							<td align="center">2001</td>
							<td align="center">514</td>
							<td align="center">60</td>
							<td align="center">14.5</td>
							<td align="center">25630.9</td>
							<td align="center">3481.3</td>
							<td align="center">0.14</td>
							<td align="center">32.4</td>
							<td align="center">21.93</td>
							<td align="center">70.33</td>
							<td align="center">640</td>
						</tr>
						<tr>
							<td align="center">2002</td>
							<td align="center">589</td>
							<td align="center">310</td>
							<td align="center">31.0</td>
							<td align="center">29947.1</td>
							<td align="center">17781.3</td>
							<td align="center">0.59</td>
							<td align="center">21.3</td>
							<td align="center">21.43</td>
							<td align="center">70.60</td>
							<td align="center">1216</td>
						</tr>
						<tr>
							<td align="center">2003</td>
							<td align="center">537</td>
							<td align="center">129</td>
							<td align="center">17.2</td>
							<td align="center">26799.6</td>
							<td align="center">7498.3</td>
							<td align="center">0.28</td>
							<td align="center">25.2</td>
							<td align="center">21.18</td>
							<td align="center">70.42</td>
							<td align="center">418</td>
						</tr>
						<tr>
							<td align="center">2004</td>
							<td align="center">649</td>
							<td align="center">211</td>
							<td align="center">19.1</td>
							<td align="center">32006.8</td>
							<td align="center">11694.9</td>
							<td align="center">0.37</td>
							<td align="center">23.6</td>
							<td align="center">20.78</td>
							<td align="center">70.59</td>
							<td align="center">1394</td>
						</tr>
						<tr>
							<td align="center">2005</td>
							<td align="center">658</td>
							<td align="center">215</td>
							<td align="center">25.9</td>
							<td align="center">32581.1</td>
							<td align="center">12239.6</td>
							<td align="center">0.38</td>
							<td align="center">23.0</td>
							<td align="center">21.33</td>
							<td align="center">70.77</td>
							<td align="center">1008</td>
						</tr>
						<tr>
							<td align="center">2006</td>
							<td align="center">799</td>
							<td align="center">226</td>
							<td align="center">14.3</td>
							<td align="center">40771.6</td>
							<td align="center">14804.0</td>
							<td align="center">0.36</td>
							<td align="center">22.5</td>
							<td align="center">20.89</td>
							<td align="center">70.52</td>
							<td align="center">513</td>
						</tr>
						<tr>
							<td align="center">2007</td>
							<td align="center">799</td>
							<td align="center">113</td>
							<td align="center">5.9</td>
							<td align="center">38206.6</td>
							<td align="center">7611.9</td>
							<td align="center">0.20</td>
							<td align="center">21.7</td>
							<td align="center">19.40</td>
							<td align="center">70.64</td>
							<td align="center">745</td>
						</tr>
						<tr>
							<td align="center">2008</td>
							<td align="center">717</td>
							<td align="center">136</td>
							<td align="center">14.4</td>
							<td align="center">34860.3</td>
							<td align="center">8912.6</td>
							<td align="center">0.26</td>
							<td align="center">21.8</td>
							<td align="center">21.24</td>
							<td align="center">70.33</td>
							<td align="center">648</td>
						</tr>
						<tr>
							<td align="center">2009</td>
							<td align="center">773</td>
							<td align="center">41</td>
							<td align="center">6.1</td>
							<td align="center">38234.8</td>
							<td align="center">3036.6</td>
							<td align="center">0.08</td>
							<td align="center">18.0</td>
							<td align="center">19.47</td>
							<td align="center">70.30</td>
							<td align="center">440</td>
						</tr>
						<tr>
							<td align="center">2011</td>
							<td align="center">730</td>
							<td align="center">292</td>
							<td align="center">19.1</td>
							<td align="center">35033.2</td>
							<td align="center">17316.6</td>
							<td align="center">0.49</td>
							<td align="center">23.4</td>
							<td align="center">21.34</td>
							<td align="center">70.51</td>
							<td align="center">958</td>
						</tr>
						<tr>
							<td align="center">2012</td>
							<td align="center">564</td>
							<td align="center">211</td>
							<td align="center">19.1</td>
							<td align="center">34823.7</td>
							<td align="center">18326.2</td>
							<td align="center">0.53</td>
							<td align="center">20.1</td>
							<td align="center">21.72</td>
							<td align="center">70.51</td>
							<td align="center">710</td>
						</tr>
						<tr>
							<td align="center">2013</td>
							<td align="center">770</td>
							<td align="center">201</td>
							<td align="center">8.2</td>
							<td align="center">35874.6</td>
							<td align="center">11141.7</td>
							<td align="center">0.31</td>
							<td align="center">24.5</td>
							<td align="center">20.37</td>
							<td align="center">70.50</td>
							<td align="center">691</td>
						</tr>
						<tr>
							<td align="center">2014</td>
							<td align="center">632</td>
							<td align="center">128</td>
							<td align="center">11.8</td>
							<td align="center">29581.5</td>
							<td align="center">6937.7</td>
							<td align="center">0.23</td>
							<td align="center">17.0</td>
							<td align="center">19.82</td>
							<td align="center">70.41</td>
							<td align="center">729</td>
						</tr>
						<tr>
							<td align="center">2015</td>
							<td align="center">659</td>
							<td align="center">150</td>
							<td align="center">9.4</td>
							<td align="center">31814.3</td>
							<td align="center">9689.9</td>
							<td align="center">0.30</td>
							<td align="center">13.2</td>
							<td align="center">21.12</td>
							<td align="center">70.41</td>
							<td align="center">633</td>
						</tr>
						<tr>
							<td align="center">2016</td>
							<td align="center">791</td>
							<td align="center">64</td>
							<td align="center">7.6</td>
							<td align="center">41102.6</td>
							<td align="center">4175.2</td>
							<td align="center">0.10</td>
							<td align="center">11.5</td>
							<td align="center">18.89</td>
							<td align="center">70.46</td>
							<td align="center">243</td>
						</tr>
						<tr>
							<td align="center">2017</td>
							<td align="center">819</td>
							<td align="center">108</td>
							<td align="center">5.4</td>
							<td align="center">42508.7</td>
							<td align="center">7095.8</td>
							<td align="center">0.17</td>
							<td align="center">15.7</td>
							<td align="center">19.63</td>
							<td align="center">70.51</td>
							<td align="center">530</td>
						</tr>
						<tr>
							<td align="center">2018</td>
							<td align="center">799</td>
							<td align="center">203</td>
							<td align="center">16.9</td>
							<td align="center">40732.0</td>
							<td align="center">12783.0</td>
							<td align="center">0.31</td>
							<td align="center">15.9</td>
							<td align="center">20.84</td>
							<td align="center">70.48</td>
							<td align="center">751</td>
						</tr>
						<tr>
							<td align="center">2019</td>
							<td align="center">782</td>
							<td align="center">117</td>
							<td align="center">14.3</td>
							<td align="center">41757.0</td>
							<td align="center">8366.0</td>
							<td align="center">0.20</td>
							<td align="center">11.1</td>
							<td align="center">20.28</td>
							<td align="center">70.35</td>
							<td align="center">516</td>
						</tr>
						<tr>
							<td align="center">2020</td>
							<td align="center">789</td>
							<td align="center">52</td>
							<td align="center">5.4</td>
							<td align="center">39272.9</td>
							<td align="center">3890.8</td>
							<td align="center">0.10</td>
							<td align="center">11.7</td>
							<td align="center">19.79</td>
							<td align="center">70.29</td>
							<td align="center">268</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			<p>For the purpose of exploring the changes in the location of the spawning areas, the centre of gravity for each year was calculated using the following <xref ref-type="disp-formula" rid="e1">equation</xref>.</p>
			<disp-formula id="e1">
				<mml:math id="mml-1">
					<mml:mi>C</mml:mi>
					<mml:mi>G</mml:mi>
					<mml:mo>=</mml:mo>
					<mml:mfrac>
						<mml:mrow>
							<mml:mrow>
								<mml:mo stretchy="false">&#x2211;</mml:mo>
								<mml:mrow>
									<mml:mi>h</mml:mi>
									<mml:mi>*</mml:mi>
									<mml:mi>L</mml:mi>
									<mml:mi>a</mml:mi>
									<mml:mi>t</mml:mi>
								</mml:mrow>
							</mml:mrow>
						</mml:mrow>
						<mml:mrow>
							<mml:mrow>
								<mml:mo stretchy="false">&#x2211;</mml:mo>
								<mml:mrow>
									<mml:mi>h</mml:mi>
								</mml:mrow>
							</mml:mrow>
						</mml:mrow>
					</mml:mfrac>
				</mml:math>
			</disp-formula>
			<p>where h is the number of eggs at a given station and Lat is the position of the station in either latitude or longitude (<xref ref-type="bibr" rid="B6">Bez 1997</xref>, <xref ref-type="bibr" rid="B16">Gutierrez et al. 2012</xref>). The egg density was calculated as the average number of eggs per 0.05 m<sup>2</sup> at the positive stations (i.e. at least one egg).</p>
			<p>For each survey the area regarded as the main spawning area encompassed all positive stations (i.e. with anchovy eggs) as well as negative stations embedded between positive stations. All negative stations outside the positive area were omitted from the area estimate. To overcome interannual differences in the total amount of surveyed area, the spawning area was standardized by the ratio with the total area of each survey: spawning area/survey area (<xref ref-type="table" rid="t1">Table 1</xref>).</p>
			<p>The annual catch (<xref ref-type="table" rid="t1">Table 1</xref>) was used as an abundance index for the stock. The database of industrial fleet landing was obtained from the national fisheries service (<xref ref-type="bibr" rid="B22">SERNAPESCA</xref>; <ext-link ext-link-type="uri" xlink:href="http://www.sernapesca.cl/">www.SERNAPESCA.cl</ext-link>).</p>
			<p>The relationships between variables were tested by means of multiple and simple linear regressions and the significance of the coefficients by t test.</p>
		</sec>
		<sec id="sec3" sec-type="results">
			<title>Results</title>
			<p>In the northern zone a high variability in both location (geographical position) and extent (the area covered by positive stations) of the spawning area was observed (<xref ref-type="fig" rid="f1">Fig. 1</xref>). In terms of locations, changes occurred in latitude and coast-ocean directions. In some years (e.g. 2015, 2017 and 2019) the eggs were distributed near the coast, whereas in others (2000, 2002) they showed a more oceanic distribution. Latitudinally within the spawning area in northern Chile, in some years (e.g. 2013) the main spawning zones were north of 20&#xb0;S, while in other years (e.g. 2011, 2015) they were south of 21&#xb0;S.</p>
			<fig id="f1">
				<label>Fig. 1</label>
				<caption>
					<title>Anchovy egg distribution from 2000 to 2021.</title>
					<p>Diameter of the circles are proportional to the eggs numbers (N&#xb0;/0.05 m<sup>2</sup>). Circles in eggs number/0.05 m<sup>2</sup>.</p>
				</caption>
				<graphic id="gra-1" xlink:href="SCIMAR-86-04-e045-gf1.png"/>
			</fig>
			<p>Female length frequency distribution shows a clear reduction pattern (<xref ref-type="fig" rid="f2">Fig. 2</xref>). In the first years the mode is centred near 16 cm, falling to 12 cm in the last years. The extent of the spawning area is correlated with annual landings (<xref ref-type="fig" rid="f3">Fig. 3A</xref>, <xref ref-type="table" rid="t2">Table 2</xref>), latitude (<xref ref-type="fig" rid="f3">Fig. 3B</xref>) and longitude (<xref ref-type="fig" rid="f3">Fig. 3D</xref>, <xref ref-type="table" rid="t2">Table 2</xref>). An expansion of the spawning area is associated with an increase in egg density (<xref ref-type="fig" rid="f3">Fig. 3C</xref>, <xref ref-type="table" rid="t2">Table 2</xref>).</p>
			<fig id="f2">
				<label>Fig. 2</label>
				<caption>
					<title>Distribution of female total length (cm).</title>
					<p>Horizontal line indicates 12 cm total length (maturity).</p>
				</caption>
				<graphic id="gra-2" xlink:href="SCIMAR-86-04-e045-gf2.png"/>
			</fig>
			<fig id="f3">
				<label>Fig. 3</label>
				<caption>
					<title>Relationship between annual catch and spawning area (as a proportion of the survey area)</title>
					<p>(A). Egg distribution latitude (&#xb0;S), centre of gravity and annual catch (B). Spawning area and egg density (N&#xb0;/0.05 m<sup>2</sup>) (C). Egg distribution longitude (&#xb0;W), centre of gravity and annual catch (D). Numbers indicate year.</p>
				</caption>
				<graphic id="gra-3" xlink:href="SCIMAR-86-04-e045-gf3.png"/>
			</fig>
			<table-wrap id="t2">
				<label>Table 2</label>
				<caption>
					<title>Results of the linear regressions between independent (X) and dependent (Y) variables. CG, Gravity Centre; a, Intercept; b, slope; Sa and Sb, standard error. Prob, probability parameter = 0.</title>
				</caption>
				<table>
					<colgroup>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead>
						<tr>
							<th align="center">Independent</th>
							<th align="center">Dependent</th>
							<th align="center">a</th>
							<th align="center">Sa</th>
							<th align="center">Prob</th>
							<th align="center">b</th>
							<th align="center">Sb</th>
							<th align="center">Prob</th>
							<th align="center">R<sup>2</sup>
							</th>
							<th align="center">n</th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="center">Annual catch</td>
							<td align="center">Spawning area</td>
							<td align="center">0.069</td>
							<td align="center">0.055</td>
							<td align="center">0.219</td>
							<td align="center">0.0003</td>
							<td align="center">10<sup>-5</sup>
							</td>
							<td align="center">7.08 10<sup>-5</sup>
							</td>
							<td align="center">0.50</td>
							<td align="center">25</td>
						</tr>
						<tr>
							<td align="center">Spawning area</td>
							<td align="center">Egg density</td>
							<td align="center">3.47</td>
							<td align="center">2.11</td>
							<td align="center">0.114</td>
							<td align="center">33.7</td>
							<td align="center">6.11</td>
							<td align="center">1.30 10<sup>-5</sup>
							</td>
							<td align="center">0.57</td>
							<td align="center">25</td>
						</tr>
						<tr>
							<td align="center">GC latitude</td>
							<td align="center">Annual catch</td>
							<td align="center">-3672</td>
							<td align="center">1250</td>
							<td align="center">0.007</td>
							<td align="center">214</td>
							<td align="center">60.04</td>
							<td align="center">0.0016</td>
							<td align="center">0.36</td>
							<td align="center">25</td>
						</tr>
						<tr>
							<td align="center">GC longitude</td>
							<td align="center">Annual catch</td>
							<td align="center">-127179</td>
							<td align="center">22658</td>
							<td align="center">1.03 10<sup>-5</sup>
							</td>
							<td align="center">1814.7</td>
							<td align="center">321.3</td>
							<td align="center">9.50 10<sup>-6</sup>
							</td>
							<td align="center">0.58</td>
							<td align="center">25</td>
						</tr>
						<tr>
							<td align="center">GC latitude</td>
							<td align="center">Average female weight</td>
							<td align="center">-62.9</td>
							<td align="center">21.27</td>
							<td align="center">0.007</td>
							<td align="center">4.04</td>
							<td align="center">1.02</td>
							<td align="center">0.0006</td>
							<td align="center">0.41</td>
							<td align="center">25</td>
						</tr>
						<tr>
							<td align="center">GC longitude</td>
							<td align="center">Average female weight</td>
							<td align="center">-1343</td>
							<td align="center">550.2</td>
							<td align="center">0.023</td>
							<td align="center">19.4</td>
							<td align="center">7.80</td>
							<td align="center">0.021</td>
							<td align="center">0.21</td>
							<td align="center">25</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			<p>The eggs&#x2019; centres of gravity show a trend over time to be located north and towards the coast (<xref ref-type="fig" rid="f4">Fig. 4A</xref>). The years with centres of gravity located south and towards the ocean are associated with high annual landings (<xref ref-type="fig" rid="f4">Fig. 4B</xref>). Low landings are associated with centres of gravity located north and towards the coast. A multiple linear regression of annual landings as a function of centres of gravity in latitude and longitude was adjusted (<xref ref-type="table" rid="t3">Table 3</xref>), resulting in an equation with predicted values very close to the observed ones (<xref ref-type="fig" rid="f5">Fig. 5</xref>).</p>
			<fig id="f4">
				<label>Fig. 4</label>
				<caption>
					<title>A, centre of gravity of egg distribution. B, centre of gravity of egg distribution and annual catch (diameter of the circles).</title>
				</caption>
				<graphic id="gra-4" xlink:href="SCIMAR-86-04-e045-gf4.png"/>
			</fig>
			<table-wrap id="t3">
				<label>Table 3</label>
				<caption>
					<title>Results of the linear multiple relationship between annual catch and centre of gravity in longitude (CGLong) and latitude (CGLat). SD, standard deviation.</title>
				</caption>
				<table>
					<colgroup>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead>
						<tr>
							<th align="center">Coefficient</th>
							<th align="center">SD</th>
							<th align="center">Probability</th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="center">Intercept</td>
							<td align="center">-107329.9</td>
							<td align="center">3.6758E-05</td>
						</tr>
						<tr>
							<td align="center">CGLong</td>
							<td align="center">1494.4</td>
							<td align="center">5.568E-05</td>
						</tr>
						<tr>
							<td align="center">CGLat</td>
							<td align="center">131.5</td>
							<td align="center">0.0082</td>
						</tr>
						<tr>
							<td align="center">r<sup>2</sup>
							</td>
							<td align="center">0.84</td>
							<td align="left"> </td>
						</tr>
						<tr>
							<td align="center">n</td>
							<td align="center">25</td>
							<td align="left"> </td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			<fig id="f5">
				<label>Fig. 5</label>
				<caption>
					<title>Left: Observed annual catch from 1992 to 2020 and estimated annual catch (t*1000) by a multiple linear regression with egg distribution centre of gravity in latitude (&#xb0;S) and longitude (&#xb0;W). Right: Linear regression between observed and estimated annual catch.</title>
				</caption>
				<graphic id="gra-5" xlink:href="SCIMAR-86-04-e045-gf5.png"/>
			</fig>
			<p>Female size is correlated with centre of gravity in latitude and longitude (<xref ref-type="fig" rid="f6">Fig. 6</xref>, <xref ref-type="table" rid="t2">Table 2</xref>). Larger females spawn in more oceanic areas and southwards. Summarizing the results, years with high catch are associated with larger females that spawn in more oceanic zones and to the south, expanding the eggs&#x2019; spatial distribution.</p>
			<fig id="f6">
				<label>Fig. 6</label>
				<caption>
					<title>Relationship between average female weight and latitude (&#xb0;S) and longitude (&#xb0;W) of the centre of gravity of egg distribution.</title>
				</caption>
				<graphic id="gra-6" xlink:href="SCIMAR-86-04-e045-gf6.png"/>
			</fig>
		</sec>
		<sec id="sec4" sec-type="discussion">
			<title>Discussion</title>
			<p>According to the results, years with high annual catches of anchovy show high egg density, an extended spawning area and a good range of female size distribution, with females over 31 g or 16 cm. By contrast, years with low annual catches show lower egg density, the spawning area is restricted to the coastal zone and the female size distribution is restricted to smaller females (&lt;31 g or 16 cm).</p>
			<p>The egg distribution area could be used as a proxy for the adult fish distribution area, as tested by <xref ref-type="bibr" rid="B5">Barange et al. (2009)</xref>, indicating that if the eggs samples are taken during the peak period of the species&#x2019; spawning season, the distribution area of the eggs is proportional (but not equivalent) to that of the adults, thus validating the use of either eggs or adults to estimate the relationship between distribution area and stock size (<xref ref-type="bibr" rid="B5">Barange et al. 2009</xref>). Therefore, we can postulate that spawning area is a proxy of adult distribution, so the expansion and contraction of the spawning area of the anchoveta in the northern region of Chile follow the changes in abundance of eggs to adults.</p>
			<p>The results show that the spawning area location is influenced by female weight distribution. Bigger females have a more oceanic and southward spawn, expanding the egg distribution. These results contrast with the proposal of <xref ref-type="bibr" rid="B23">Swartzman et al. (2008)</xref> that the Peruvian stock of anchoveta is restricted to the cold waters of coastal upwelling, regardless of their abundance. <xref ref-type="bibr" rid="B5">Barange et al. (2009)</xref> suggest that in anchoveta the available habitat determines the size of the stock of the anchoveta. The causes of female size reduction in the northern anchovy population are as yet unknown. Natural and fishery mortality and changes in growth rate could be involved.</p>
			<p>Three basic models describe the relationship between stock size, distribution area and local density (<xref ref-type="bibr" rid="B20">Petitgas 1998</xref>, <xref ref-type="bibr" rid="B5">Barange et al. 2009</xref>): (i) the constant density model, in which density stays constant and the area covered by the stock varies with abundance; (ii) the proportional model, in which the area occupied stays constant and local density varies proportionally to abundance; and (iii) the basin model, in which density and area vary with abundance. According to our results, anchovy off northern Chile shows a type (iii) model, density and area varying with abundance.</p>
			<p>Although the mechanisms and environmental aspects that cause fluctuations in anchoveta populations have received considerable attention around the world (<xref ref-type="bibr" rid="B1">Alheit and Bakun 2010</xref>, <xref ref-type="bibr" rid="B2">Alheit et al. 2019</xref>, <xref ref-type="bibr" rid="B19">McCall 2009</xref>), these studies have not yet been sufficient to determine the environmental aspects or mechanisms that regulate the changes in abundance and the density-dependent processes that might be involved. In fishes, changes in time and space in reproduction, namely, changes in spawning periods and spawning areas, affect growth and early stage survival because they also determine the kind of environment in which the fish populations will develop (<xref ref-type="bibr" rid="B21">Secor 2007</xref>). In the Japanese pacific, fluctuations in the abundance of the stock of <italic>Sardinops melanosticus</italic> were followed by changes in the spawning period (<xref ref-type="bibr" rid="B18">Itoh et al. 2009</xref>, <xref ref-type="bibr" rid="B24">Takahashi et al. 2008</xref>, <xref ref-type="bibr" rid="B25">Watanabe et al. 1996</xref>, <xref ref-type="bibr" rid="B26">1997</xref>), which in turn changed the environment encountered by the early stages (i.e. temperature, food availability and predator evasion), which affects early growth.</p>
			<p>This strategy of a density-dependent use of space could be a mechanism for avoiding cannibalism upon their own eggs. This also signifies that, if the appropriate conditions are met in more oceanic sites, the population could undergo a phase of expansion. Something similar happens with the anchoveta <italic>Engraulis encrasicolus</italic> in the Adriatic Sea, where apparently they seem to change their spawning centres during the reproductive period according to the favourable environmental conditions, beginning the spawning process in the northern and more shallow part of the Adriatic, where they first find the appropriate conditions for survival of the early stages of life (<xref ref-type="bibr" rid="B27">Zorica et al. 2018</xref>). Examples of periodic habitat expansion and contraction are reported in the literature for small pelagic populations in different ecosystems (<xref ref-type="bibr" rid="B3">Bakun 2005</xref>, <xref ref-type="bibr" rid="B4">2006</xref>, <xref ref-type="bibr" rid="B5">Barange et al. 2009</xref>). These expansions have been linked to predator-prey interactions or competitive advantages, which determine or are determined by an increase in population size (<xref ref-type="bibr" rid="B4">Bakun 2006</xref>, <xref ref-type="bibr" rid="B5">Barange et al. 2009</xref>). This density-dependent relationship assumes that the number of progenies recruited to a fishery is proportional to the number of eggs spawned until an environmental carrying capacity is reached. Departures from this relationship are density-independent and attributed to the environment. Implicitly, the stock-recruit relationship does not account for climate variability and change, although environmental terms can be added to expand this type of model (<xref ref-type="bibr" rid="B9">Checkley et al 2017</xref>).</p>
			<p>In conclusion, the expansion and contraction of spawning areas in <italic>E. ringens</italic> of northern Chile depend on the abundance and size of females. Abundance is more related to extent and female size to the location of the spawning areas.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>Acknowledgements</title>
			<p>This study was carried out as part of the master&#x2019;s in science programme of the Arturo Prat University, in the Renewable Natural Resources Faculty. We would like to thank the Instituto de Fomento Pesquero (IFOP) for giving us access to the database of the anchoveta evaluation programme.</p>
		</ack>
		<ref-list>
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