Scientific knowledge of biological processes potentially useful in fish stock predictions

Authors

  • Friedrich W. Köster Institute of Marine Sciences, Düsternbrooker
  • Dietrich Schnack Institute of Marine Sciences, Düsternbrooker
  • Christian Möllmann Institute of Marine Sciences, Düsternbrooker

DOI:

https://doi.org/10.3989/scimar.2003.67s1101

Keywords:

environmental variability, spawning stock, species interactions, fish stock predictions

Abstract


Based on an extensive review of available knowledge, several sources of information have been identified as potentially useful in fish stock predictions. They refer to a variety of biological processes of importance for stock dynamics, e.g. growth, maturation and egg production as well as early and juvenile life stage survival and subsequent recruitment, for which examples are given. Environmental variables impacting these processes were derived, ranging from simple statistical exploratory analyses to complex process studies for various stocks in different sea areas. Causal relationships are understood to varying degrees and in several cases the identified variables may only be taken as proxies for processes not investigated in detail yet. Besides the explanatory power of relevant variables, their predictability and related predictive time frames are of major importance for a potential application in stock predictions. These criteria in particular may hamper implementation in the foreseeable future in several cases. However, the information may still be highly relevant for a) hindcasting stock developments that are so far not fully understood, b) defining stock projection scenarios for simulation of different fishery management strategies under varying environmental conditions and considering species interactions and c) elucidating areas of future research to further enhance our predictive capabilities.

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Published

2003-04-30

How to Cite

1.
Köster FW, Schnack D, Möllmann C. Scientific knowledge of biological processes potentially useful in fish stock predictions. scimar [Internet]. 2003Apr.30 [cited 2021Mar.7];67(S1):101-27. Available from: http://scientiamarina.revistas.csic.es/index.php/scientiamarina/article/view/509

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