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Factors affecting individual foraging specialization and temporal diet stability across the range of a large “generalist” apex predator

Overview of attention for article published in Oecologia, February 2015
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  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Title
Factors affecting individual foraging specialization and temporal diet stability across the range of a large “generalist” apex predator
Published in
Oecologia, February 2015
DOI 10.1007/s00442-014-3201-6
Pubmed ID
Authors

Adam E. Rosenblatt, James C. Nifong, Michael R. Heithaus, Frank J. Mazzotti, Michael S. Cherkiss, Brian M. Jeffery, Ruth M. Elsey, Rachel A. Decker, Brian R. Silliman, Louis J. Guillette, Russell H. Lowers, Justin C. Larson

Abstract

Individual niche specialization (INS) is increasingly recognized as an important component of ecological and evolutionary dynamics. However, most studies that have investigated INS have focused on the effects of niche width and inter- and intraspecific competition on INS in small-bodied species for short time periods, with less attention paid to INS in large-bodied reptilian predators and the effects of available prey types on INS. We investigated the prevalence, causes, and consequences of INS in foraging behaviors across different populations of American alligators (Alligator mississippiensis), the dominant aquatic apex predator across the southeast US, using stomach contents and stable isotopes. Gut contents revealed that, over the short term, although alligator populations occupied wide ranges of the INS spectrum, general patterns were apparent. Alligator populations inhabiting lakes exhibited lower INS than coastal populations, likely driven by variation in habitat type and available prey types. Stable isotopes revealed that over longer time spans alligators exhibited remarkably consistent use of variable mixtures of carbon pools (e.g., marine and freshwater food webs). We conclude that INS in large-bodied reptilian predator populations is likely affected by variation in available prey types and habitat heterogeneity, and that INS should be incorporated into management strategies to efficiently meet intended goals. Also, ecological models, which typically do not consider behavioral variability, should include INS to increase model realism and applicability.

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Canada 1 <1%
Hungary 1 <1%
Belgium 1 <1%
Mexico 1 <1%
Unknown 202 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 22%
Student > Master 41 20%
Researcher 36 17%
Student > Bachelor 23 11%
Student > Doctoral Student 9 4%
Other 21 10%
Unknown 33 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 117 56%
Environmental Science 30 14%
Earth and Planetary Sciences 9 4%
Biochemistry, Genetics and Molecular Biology 4 2%
Unspecified 1 <1%
Other 4 2%
Unknown 44 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 December 2015.
All research outputs
#13,423,088
of 22,783,848 outputs
Outputs from Oecologia
#2,919
of 4,210 outputs
Outputs of similar age
#173,566
of 352,350 outputs
Outputs of similar age from Oecologia
#31
of 81 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,210 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 352,350 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.