Endangered species managing endangered species: Polyculture of piscivorous Colorado Pikeminnow (Ptychocheilus lucius) with production Bonytail (Gila elegans) to control recruitment and increase growth rates

2019 ◽  
Vol 50 (4) ◽  
pp. 1020-1029 ◽  
Author(s):  
Tracy A. Diver ◽  
Catherine Sykes ◽  
Manuel Ulibarri ◽  
William Knight ◽  
Wade D. Wilson
Keyword(s):  
Endangered Species ◽  
Growth Rates ◽  
Ptychocheilus Lucius

Growth Rates and Age Estimations of the Fuzzy Pigtoe,Pleurobema strodeanum: A Species Newly Listed Under the Endangered Species Act

2013 ◽  
Vol 12 (1) ◽  
pp. 161-170 ◽  
Author(s):  
Evelyn G. Reátegui-Zirena ◽  
Paul M. Stewart ◽  
Jonathan M. Miller
Keyword(s):  
Endangered Species ◽  
Growth Rates ◽  
Endangered Species Act

Models and model selection uncertainty in estimating growth rates of endangered freshwater mussel populations

2008 ◽  
Vol 65 (11) ◽  
pp. 2389-2398 ◽  
Author(s):  
Yan Jiao ◽  
Richard Neves ◽  
Jess Jones
Keyword(s):  
Endangered Species ◽  
Model Selection ◽  
Population Growth ◽  
Growth Rates ◽  
Bayesian Model ◽  
Goodness Of Fit ◽  
Bayesian Model Averaging ◽  
Deviance Information Criterion ◽  
Model Averaging ◽  
Model Selection Uncertainty

Appropriate inference of population status for endangered species is extremely important. Using a single model for estimating population growth rates is typically inadequate for assessing endangered species because inferences based on only one “best” model ignore model uncertainty. In this study, the endangered dromedary pearlymussel ( Dromus dromas ) in the Clinch and Powell rivers of eastern Tennessee, USA, was used as an example to demonstrate the importance of multiple models, with consideration of environmental noises for evaluating population growth. Our results showed that more than one model deserves consideration in making inferences of population growth rate. A Bayesian model averaging approach was used to make inferences by weighting each model using the deviance information criterion. To test the uncertainty resulting from model selection and the efficiency of the Bayesian averaging approach, a simulation study was conducted on the dromedary pearlymussel populations, which showed that model selection uncertainty is very high. The results of these tests lead us to recommend using Bayesian model averaging to assess population growth status for endangered species, by balancing goodness-of-fit and selection uncertainty among alternate models.

Endangered Species

1994 ◽  
Vol 39 (1) ◽  
pp. 71-72
Author(s):  
Donald M. Kaplan
Keyword(s):  
Endangered Species

Predicting Concern for Endangered Species

1991 ◽  
Author(s):  
Michael L. DeKay ◽  
Gary H. McClelland
Keyword(s):  
Endangered Species
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