Abstract

Data is from Masi, M and Ainsworth, C. (in press) A Probabilistic Representation of Fish Diet Compositions from Multiple Data Sources: A Gulf of Mexico Case Study. Ecological Modelling. April 2014. Trophic ecosystem models are interactive tools that allow decision makers to analyze how a management decision can impact an ecosystem on a multi-species level, and are increasingly being used as a supplement to the current single species approach to fisheries management. The functionality of such a model is dependent upon an accurate representation of the trophic interactions occurring within a study area. Typical methods for developing a diet matrix to be used in ecosystem models often fail to account for uncertainty associated with sampling; this is especially relevant when dealing with small diet data sets. In this case study of the Gulf of Mexico ecosystem, we have conducted a laboratory diet analysis to define predator-prey interactions for non-commercially important predator species resident to the study area, and then expounded on this laboratory data by assimilating two, more robust data sets. By applying a maximum likelihood estimation method, we combine these data sets and produce maximum likelihood estimates (MLEs) and associated error ranges, which describe the likely diet contribution that a given prey item contributes to a predator’s diet. These results will be used to parameterize the availabilities (diet) matrix of an Atlantis ecosystem model of the Gulf of Mexico. Column A: predator name. Column B: prey name. Column C: lower 95% confidence interval. Column D: upper 95% confidence interval. Column E: mode of the maximum likelihood marginal beta distribution (percent).

Purpose

Diet data parameterizes an Atlantis Ecosystem model.

Keywords

Diet composition, Stomach sampling, Gut content analysis, Atlantis ecosystem model, Dirichlet distribution

UDI

R1.x135.120:0007

Date

3-18-2016 12:00 AM

Point of Contact

Ainsworth, Cameron
University of South Florida
College of Marine Science
140 7th Ave South
St. Petersburg , FL 33701
USA
ainsworth@usf.edu

Funding Source

RFP-I

Start of Data Collection

4-1-2013

End of Data Collection

4-1-2014

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