Progression of a Gulf of Mexico Food Web Supporting Atlantis Ecosystem Model Development
Document Type
Article
Publication Date
7-2016
Keywords
Atlantis ecosystem model, Diet, Dirichlet distribution, Feeding ecology, Food web
Digital Object Identifier (DOI)
https://doi.org/10.1016/j.fishres.2016.02.023
Abstract
This article develops a marine food web matrix for the Gulf of Mexico (GOM) based on local stomach sampling and online diet information. Working at the level of functional groups, we fit diet information to a statistical model based on the Dirichlet distribution. This allows us to quantify likely contributions of prey to predators’ diets. Error ranges on these values reflect diet variability and data quality, and help in identifying functional groups that would benefit from additional sampling. We perform hierarchical cluster analysis to determine functional groups that have similar prey requirements, then produce a food web diagram representing the interactions between predators and prey. A meta-analysis using principle coordinate analysis allows us to compare this study’s diet matrix with ten other published GOM food webs and determine where variation in food web structure exists. We also compare our new food web to the diet matrix used by the Ainsworth et al. (2015) Atlantis ecosystem model, a strategic tool developed to assess ecosystem dynamics in the GOM. A hindcast from 1980 to 2010 using Atlantis shows an improved fit to observational data and reduced error in biomass projections using the revised diet information.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Fisheries Research, v. 179, p. 237-250
Scholar Commons Citation
Tarnecki, Joseph H.; Wallace, Amy A.; Simons, James E.; and Ainsworth, Cameron, "Progression of a Gulf of Mexico Food Web Supporting Atlantis Ecosystem Model Development" (2016). C-IMAGE Publications. 89.
https://digitalcommons.usf.edu/cimage_pubs/89
Comments
Data used in this article are available for download.
Predator-prey diet linkages with error range for the Gulf of Mexico fitted using maximum likelihood method, April 2013- May 2015