Literature DB >> 21418211

Predicting diet and consumption rate differences between and within species using gut ecomorphology.

Blaine D Griffen1, Hallie Mosblack.   

Abstract

1. Rapid environmental changes and pressing human needs to forecast the consequences of environmental change are increasingly driving ecology to become a predictive science. The need for effective prediction requires both the development of new tools and the refocusing of existing tools that may have previously been used primarily for purposes other than prediction. One such tool that historically has been more descriptive in nature is ecomorphology (the study of relationships between ecological roles and morphological adaptations of species and individuals). 2. Here, we examine relationships between diet and gut morphology for 15 species of brachyuran crabs, a group of pervasive and highly successful consumers for which trophic predictions would be highly valuable. 3. We show that patterns in crab stomach volume closely match some predictions of metabolic theory and demonstrate that individual diet differences and associated morphological variation reflect, at least in some instances, individual choice or diet specialization. 4. We then present examples of how stomach volume can be used to predict both the per cent herbivory of brachyuran crabs and the relative consumption rates of individual crabs.
© 2011 The Authors. Journal of Animal Ecology © 2011 British Ecological Society.

Entities:  

Mesh:

Year:  2011        PMID: 21418211     DOI: 10.1111/j.1365-2656.2011.01832.x

Source DB:  PubMed          Journal:  J Anim Ecol        ISSN: 0021-8790            Impact factor:   5.091


  14 in total

1.  Polymorphism promotes edge utilization by marsh crabs.

Authors:  Benjamin J Toscano; Domitilla Pulcini; Raul Costa-Pereira; W Burns Newsome; Blaine D Griffen
Journal:  Oecologia       Date:  2022-03-13       Impact factor: 3.225

2.  Exploration speed in captivity predicts foraging tactics and diet in free-living red knots.

Authors:  Selin Ersoy; Christine E Beardsworth; Anne Dekinga; Marcel T J van der Meer; Theunis Piersma; Ton G G Groothuis; Allert I Bijleveld
Journal:  J Anim Ecol       Date:  2021-11-22       Impact factor: 5.606

3.  Spatially variable habitat quality contributes to within-population variation in reproductive success.

Authors:  Blaine D Griffen; Alexandra P Norelli
Journal:  Ecol Evol       Date:  2015-03-06       Impact factor: 2.912

4.  The Influence of Diet Composition on Fitness of the Blue Crab, Callinectes sapidus.

Authors:  Benjamin A Belgrad; Blaine D Griffen
Journal:  PLoS One       Date:  2016-01-19       Impact factor: 3.240

5.  An anthropogenic habitat within a suboptimal colonized ecosystem provides improved conditions for a range-shifting species.

Authors:  Zachary J Cannizzo; Sara R Dixon; Blaine D Griffen
Journal:  Ecol Evol       Date:  2018-01-01       Impact factor: 2.912

6.  Functional feeding traits as predictors of invasive success of alien freshwater fish species using a food-fish model.

Authors:  Leopold A J Nagelkerke; Eline van Onselen; Nils van Kessel; Rob S E W Leuven
Journal:  PLoS One       Date:  2018-06-06       Impact factor: 3.240

7.  The timing of energy allocation to reproduction in an important group of marine consumers.

Authors:  Blaine D Griffen
Journal:  PLoS One       Date:  2018-06-27       Impact factor: 3.240

8.  Ecological and evolutionary implications of allometric growth in stomach size of brachyuran crabs.

Authors:  Blaine D Griffen; Zachary J Cannizzo; Mustafa R Gül
Journal:  PLoS One       Date:  2018-11-09       Impact factor: 3.240

9.  Evidence for use of both capital and income breeding strategies in the mangrove tree crab, Aratus pisonii.

Authors:  Jade Carver; Morgan Meidell; Zachary J Cannizzo; Blaine D Griffen
Journal:  Sci Rep       Date:  2021-07-16       Impact factor: 4.379

10.  Phenotype-limited distributions: short-billed birds move away during times that prey bury deeply.

Authors:  Sjoerd Duijns; Jan A van Gils; Jennifer Smart; Theunis Piersma
Journal:  R Soc Open Sci       Date:  2015-06-17       Impact factor: 2.963

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