A Multidimensional Matrix Model for Predicting the Effects of Male-Biased Sex Ratios on Fish Populations.
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ABSTRACT: Laboratory experiments have established that exposure to certain endocrine-active substances prior to and/or during the period of sexual differentiation can lead to skewed sex ratios in fish. However, the potential long-term population impact of biased sex ratio depends on multiple factors including the life history of the species and whether the ratio is male or female-biased. In the present study, we describe a novel multidimensional, density-dependent matrix model that analyzes age class-structure of both males and females over time, allowing for the quantitative evaluation of the effects of biased sex ratio on population status. This approach can be used in conjunction with field monitoring efforts and/or laboratory testing to link effects on sex ratio due to chemical and/or nonchemica
SUBMITTER: Miller DH
PROVIDER: S-EPMC9586198 | biostudies-literature | 2022 Apr
REPOSITORIES: biostudies-literature
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