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Comparison and review of models describing sea turtle nesting abundance

Whiting, Andrea U., Chaloupka, Milani, Pilcher, Nicolas, Basintal, Paul and Limpus, Colin J. (2014). Comparison and review of models describing sea turtle nesting abundance. Marine Ecology Progress Series,508:233-246.

Document type: Journal Article
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article

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IRMA ID 75039815xPUB269
Title Comparison and review of models describing sea turtle nesting abundance
Author Whiting, Andrea U.
Chaloupka, Milani
Pilcher, Nicolas
Basintal, Paul
Limpus, Colin J.
Journal Name Marine Ecology Progress Series
Publication Date 2014-08-04
Volume Number 508
ISSN 0171-8630   (check CDU catalogue  open catalogue search in new window)
Scopus ID 2-s2.0-84906096687
Start Page 233
End Page 246
Total Pages 14
Place of Publication Germany
Publisher Inter-Research
HERDC Category C1 - Journal Article (DIISR)
Abstract Count data are often used to assess relative population size and population trends with sufficient power and confidence for wildlife population studies, including those for nesting sea turtles. Although access to sea turtles while nesting is relatively simple compared to many other migratory marine animals, optimal surveys tagging every individual through the nesting season are often not feasible due to time, financial and other logistic constraints. Partial survey counts can then be used to estimate population abundance. Several models have previously been published describing the seasonal shape in abundance for nesting turtles, but none have compared different model fits using a numerical approach and all have limited general application as they describe only 1 location or 1 species. We compared 22 non-parametric and parametric modelling approaches for 9 populations of sea turtles comprising 3 different species: green sea turtles Chelonia mydas, loggerhead sea turtles Caretta caretta and leatherback sea turtles Dermochelys coriacea. Although models showed marked differences in the shape of their fit, all models provided reasonable estimates of annual nesting abundance, with mean errors less than 8% for 50% data coverage and mostly 8 to 10% for 20% random coverage. Of the 3 models that produced significantly lower mean absolute error, we recommend using generalized additive models to estimate annual abundance due to their ease of fitting, flexibility across populations and seasonal shapes and their good predictive ability.
Keywords Population study
Partial count
Generalized additive model
GAM
Green turtle
Chelonia mydas
Loggerhead
Caretta caretta
Leatherback
Dermochelys coriacea
DOI http://dx.doi.org/10.3354/meps10832   (check subscription with CDU E-Gateway service for CDU Staff and Students  check subscription with CDU E-Gateway in new window)
Additional Notes Copyright by Inter-Research Whiting AU, Chaloupka M, Pilcher N, Basintal P, Limpus CJ (2014) Comparison and review of models describing sea turtle nesting abundance. Mar Ecol Prog Ser 508:233-246
 
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Created: Fri, 29 Aug 2014, 16:07:59 CST by Anthony Hornby