Event Title

Stochasticity in a Loggerhead Turtle Population Matrix Model and Conservation Implications

Presentation Type

Poster

Location

Schimmel/Conrades Science Center Atrium

Start Date

18-4-2017 6:10 PM

End Date

18-4-2017 7:30 PM

Disciplines

Marine Biology

Abstract

Loggerhead turtles are listed under the Endangered Species Act as threatened, some populations even listed as endangered. As conservation efforts work to allow this species to recover from its threatened status it is important to evaluate the effectiveness of various strategies. A stage-based population model with demographic parameters is an effective way to evaluate efforts for the loggerhead sea turtle as various efforts concentrate on different life stages. The life history of the species also means that individuals in different age classes do not have the same relative impact on populations numbers and reproduction. A mathematical model with known or estimated demographic parameters can be used to understand the impact on recovery by changing parameters of various age groups as well as to compare recovery after certain management strategies are implemented. Previous models have been deterministic however demographic stochasticity can greatly affect smaller populations like those considered threatened. I modified a stage-based population model with five distinct life stages of the loggerhead turtle. I updated demographic parameters where possible and incorporated variation in each parameter. I hope the model will help us understand the impact that variability and stochasticity can have on population projections as well as the differing impact this has on specific parameters.

Project Origin

Class

Faculty Mentor

Craig Jackson; Amy Downing

This document is currently not available here.

Share

COinS
 
Apr 18th, 6:10 PM Apr 18th, 7:30 PM

Stochasticity in a Loggerhead Turtle Population Matrix Model and Conservation Implications

Schimmel/Conrades Science Center Atrium

Loggerhead turtles are listed under the Endangered Species Act as threatened, some populations even listed as endangered. As conservation efforts work to allow this species to recover from its threatened status it is important to evaluate the effectiveness of various strategies. A stage-based population model with demographic parameters is an effective way to evaluate efforts for the loggerhead sea turtle as various efforts concentrate on different life stages. The life history of the species also means that individuals in different age classes do not have the same relative impact on populations numbers and reproduction. A mathematical model with known or estimated demographic parameters can be used to understand the impact on recovery by changing parameters of various age groups as well as to compare recovery after certain management strategies are implemented. Previous models have been deterministic however demographic stochasticity can greatly affect smaller populations like those considered threatened. I modified a stage-based population model with five distinct life stages of the loggerhead turtle. I updated demographic parameters where possible and incorporated variation in each parameter. I hope the model will help us understand the impact that variability and stochasticity can have on population projections as well as the differing impact this has on specific parameters.