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Energy density empirical predictor models for three coastal crab species in the Southwestern Atlantic Ocean

Energy density empirical predictor models for three coastal crab species in the Southwestern... Energy density was measured for key intertidal and subtidal crab species in the Southwestern Atlantic Ocean. Empirical models were developed to link energy density to water content (expressed as dry weight) and the fit to data was compared between different taxonomic and gender aggregations. Predictive power of models with different levels of aggregation and the effect of using a model of a surrogate species or group were also evaluated. Neohelice granulata (Dana, 1851) (3728 J/g wet weight) contained the highest energy density followed by Cyrtograpsus angulatus Rathbun, 1914 (3334 J/g wet weight), and C. altimanus Dana, 1851 (3042 J/g wet weight). Females (3645 J/g wet weight) showed higher energy density compared to males (3074 J/g wet weight). Dry weight of whole individuals provided good energy density predictions, with low predictive error when using species or same genus models (6.4-9.6% for the median error). Predictive power improved when more specific levels of taxonomic aggregation were employed. Interestingly, the two congeneric Cyrtograpsus did not differ in their energy density predictor model, suggesting a unique model could be used for this genus. This paper provides valuable inputs for bioenergetic modeling in coastal ecosystems in the Southwestern Atlantic. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Crustacean Biology Brill

Energy density empirical predictor models for three coastal crab species in the Southwestern Atlantic Ocean

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References (34)

Publisher
Brill
Copyright
© The Crustacean Society. Published by Brill NV, Leiden
Subject
Ecology
ISSN
0278-0372
eISSN
1937-240X
DOI
10.1163/1937240X-00002178
Publisher site
See Article on Publisher Site

Abstract

Energy density was measured for key intertidal and subtidal crab species in the Southwestern Atlantic Ocean. Empirical models were developed to link energy density to water content (expressed as dry weight) and the fit to data was compared between different taxonomic and gender aggregations. Predictive power of models with different levels of aggregation and the effect of using a model of a surrogate species or group were also evaluated. Neohelice granulata (Dana, 1851) (3728 J/g wet weight) contained the highest energy density followed by Cyrtograpsus angulatus Rathbun, 1914 (3334 J/g wet weight), and C. altimanus Dana, 1851 (3042 J/g wet weight). Females (3645 J/g wet weight) showed higher energy density compared to males (3074 J/g wet weight). Dry weight of whole individuals provided good energy density predictions, with low predictive error when using species or same genus models (6.4-9.6% for the median error). Predictive power improved when more specific levels of taxonomic aggregation were employed. Interestingly, the two congeneric Cyrtograpsus did not differ in their energy density predictor model, suggesting a unique model could be used for this genus. This paper provides valuable inputs for bioenergetic modeling in coastal ecosystems in the Southwestern Atlantic.

Journal

Journal of Crustacean BiologyBrill

Published: Jan 1, 2013

Keywords: crabs; energy density; salt marsh; water content

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