Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Accurate estimates of age at maturity from the growth trajectories of fishes and other ectotherms
AbstractAge at maturity (AAM) is a key life history trait that provides insight into ecology, evolution, and population dynamics. However, maturity data can be costly to collect or may not be available. Life history theory suggests that growth is biphasic for many organisms, with a change‐point in growth occurring at maturity. If so, then it should be possible to use a biphasic growth model to estimateAAMfrom growth data. To test this prediction, we used the Lester biphasic growth model in a likelihood profiling framework to estimateAAMfrom length at age data. We fit our model to simulated growth trajectories to determine minimum data requirements (in terms of sample size, precision in length at age, and the cost to somatic growth of maturity) for accurateAAMestimates. We then applied our method to a large walleyeSander vitreusdata set and show that ourAAMestimates are in close agreement with conventional estimates when our model fits well. Finally, we highlight the potential of our method by applying it to length at age data for a variety of ectotherms. Our method shows promise as a tool for estimatingAAMand other life history traits from contemporary and historical samples.
Accurate estimates of age at maturity from the growth trajectories of fishes and other ectotherms
AbstractAge at maturity (AAM) is a key life history trait that provides insight into ecology, evolution, and population dynamics. However, maturity data can be costly to collect or may not be available. Life history theory suggests that growth is biphasic for many organisms, with a change‐point in growth occurring at maturity. If so, then it should be possible to use a biphasic growth model to estimateAAMfrom growth data. To test this prediction, we used the Lester biphasic growth model in a likelihood profiling framework to estimateAAMfrom length at age data. We fit our model to simulated growth trajectories to determine minimum data requirements (in terms of sample size, precision in length at age, and the cost to somatic growth of maturity) for accurateAAMestimates. We then applied our method to a large walleyeSander vitreusdata set and show that ourAAMestimates are in close agreement with conventional estimates when our model fits well. Finally, we highlight the potential of our method by applying it to length at age data for a variety of ectotherms. Our method shows promise as a tool for estimatingAAMand other life history traits from contemporary and historical samples.
Accurate estimates of age at maturity from the growth trajectories of fishes and other ectotherms
Ecological Applications
Honsey, Andrew E. (Autor:in) / Staples, David F. (Autor:in) / Venturelli, Paul A. (Autor:in)
Ecological Applications ; 27 ; 182-192
01.01.2017
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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