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Evolutionary and ecological constraints of fish spawning habitats
Author(s) -
Lorenzo Ciannelli,
Kevin M. Bailey,
Esben Moland Olsen
Publication year - 2014
Publication title -
ices journal of marine science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.348
H-Index - 117
eISSN - 1095-9289
pISSN - 1054-3139
DOI - 10.1093/icesjms/fsu145
Subject(s) - biological dispersal , habitat , ecology , predation , juvenile fish , biology , adaptability , selection (genetic algorithm) , population , adaptation (eye) , juvenile , fishery , computer science , demography , artificial intelligence , neuroscience , sociology
For marine fish, the choice of the spawning location may be the only means to fulfil the dual needs of surviving from the egg to juvenile stage and dispersing across different habitats while minimizing predation and maximizing food intake. In this article, we review the factors that affect the choice of fish spawning habitats and propose a framework to distinguish between ecological and evolutionary constraints. We define the former as the boundaries for phenotypically plastic responses to environmental change, in this case the ability of specific genotypes to change their spawning habitat. Processes such as predation, starvation, or aberrant dispersal typically limit the amount of variability in spawning habitat that fish may undergo from 1 year to the next, and thus regulate the intensity of ecological constraints. Evolutionary constraints, on the other hand, refer to aspects of the genetic make-up that limit the rate and direction of adaptive genetic changes in a population across generations; that is, the potential for micro-evolutionary change. Thus, their intensity is inversely related to the level of genetic diversity associated with traits that regulate spawning and developmental phases. We argue that fisheries oceanographers are well aware of, and more deeply focused on, the former set of constraints, while evolutionary biologists are more deeply focused on the latter set of constraints. Our proposed framework merges these two viewpoints and provides new insight to study fish habitat selection and adaptability to environmental changes.

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