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Timescales alter the inferred strength and temporal consistency of intraspecific diet specialization

Overview of attention for article published in Oecologia, February 2015
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Title
Timescales alter the inferred strength and temporal consistency of intraspecific diet specialization
Published in
Oecologia, February 2015
DOI 10.1007/s00442-014-3213-2
Pubmed ID
Authors

Mark Novak, M. Tim Tinker

Abstract

Many populations consist of individuals that differ substantially in their diets. Quantification of the magnitude and temporal consistency of such intraspecific diet variation is needed to understand its importance, but the extent to which different approaches for doing so reflect instantaneous vs. time-aggregated measures of individual diets may bias inferences. We used direct observations of sea otter individuals (Enhydra lutris nereis) to assess how: (1) the timescale of sampling, (2) under-sampling, and (3) the incidence- vs. frequency-based consideration of prey species affect the inferred strength and consistency of intraspecific diet variation. Analyses of feeding observations aggregated over hourly to annual intervals revealed a substantial bias associated with time aggregation that decreases the inferred magnitude of specialization and increases the inferred consistency of individuals' diets. Time aggregation also made estimates of specialization more sensitive to the consideration of prey frequency, which decreased estimates relative to the use of prey incidence; time aggregation did not affect the extent to which under-sampling contributed to its overestimation. Our analyses demonstrate the importance of studying intraspecific diet variation with an explicit consideration of time and thereby suggest guidelines for future empirical efforts. Failure to consider time will likely produce inconsistent predictions regarding the effects of intraspecific variation on predator-prey interactions.

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Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
Hungary 2 2%
Portugal 1 <1%
Belgium 1 <1%
Unknown 98 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 27%
Student > Master 20 19%
Researcher 15 14%
Student > Doctoral Student 8 7%
Student > Bachelor 6 6%
Other 10 9%
Unknown 19 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 48%
Environmental Science 18 17%
Earth and Planetary Sciences 4 4%
Unspecified 1 <1%
Biochemistry, Genetics and Molecular Biology 1 <1%
Other 6 6%
Unknown 26 24%