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A Hypothesis-Testing Framework for Studies Investigating Ontogenetic Niche Shifts Using Stable Isotope Ratios

Overview of attention for article published in PLOS ONE, November 2011
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Title
A Hypothesis-Testing Framework for Studies Investigating Ontogenetic Niche Shifts Using Stable Isotope Ratios
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0027104
Pubmed ID
Authors

Caroline M. Hammerschlag-Peyer, Lauren A. Yeager, Márcio S. Araújo, Craig A. Layman

Abstract

Ontogenetic niche shifts occur across diverse taxonomic groups, and can have critical implications for population dynamics, community structure, and ecosystem function. In this study, we provide a hypothesis-testing framework combining univariate and multivariate analyses to examine ontogenetic niche shifts using stable isotope ratios. This framework is based on three distinct ontogenetic niche shift scenarios, i.e., (1) no niche shift, (2) niche expansion/reduction, and (3) discrete niche shift between size classes. We developed criteria for identifying each scenario, as based on three important resource use characteristics, i.e., niche width, niche position, and niche overlap. We provide an empirical example for each ontogenetic niche shift scenario, illustrating differences in resource use characteristics among different organisms. The present framework provides a foundation for future studies on ontogenetic niche shifts, and also can be applied to examine resource variability among other population sub-groupings (e.g., by sex or phenotype).

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 262 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 2%
United States 3 1%
Spain 2 <1%
South Africa 2 <1%
Chile 2 <1%
Tanzania, United Republic of 1 <1%
Netherlands 1 <1%
Australia 1 <1%
France 1 <1%
Other 9 3%
Unknown 236 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 54 21%
Student > Ph. D. Student 50 19%
Student > Master 50 19%
Student > Bachelor 20 8%
Student > Doctoral Student 17 6%
Other 40 15%
Unknown 31 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 145 55%
Environmental Science 51 19%
Earth and Planetary Sciences 8 3%
Biochemistry, Genetics and Molecular Biology 4 2%
Chemical Engineering 2 <1%
Other 7 3%
Unknown 45 17%