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On valuing patches: estimating contributions to metapopulation growth with reverse-time capture–recapture modelling

Overview of attention for article published in Proceedings of the Royal Society B: Biological Sciences, June 2011
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Title
On valuing patches: estimating contributions to metapopulation growth with reverse-time capture–recapture modelling
Published in
Proceedings of the Royal Society B: Biological Sciences, June 2011
DOI 10.1098/rspb.2011.0885
Pubmed ID
Authors

Jamie S. Sanderlin, Peter M. Waser, James E. Hines, James D. Nichols

Abstract

Metapopulation ecology has historically been rich in theory, yet analytical approaches for inferring demographic relationships among local populations have been few. We show how reverse-time multi-state capture-recapture models can be used to estimate the importance of local recruitment and interpopulation dispersal to metapopulation growth. We use 'contribution metrics' to infer demographic connectedness among eight local populations of banner-tailed kangaroo rats, to assess their demographic closure, and to investigate sources of variation in these contributions. Using a 7 year dataset, we show that: (i) local populations are relatively independent demographically, and contributions to local population growth via dispersal within the system decline with distance; (ii) growth contributions via local survival and recruitment are greater for adults than juveniles, while contributions involving dispersal are greater for juveniles; (iii) central populations rely more on local recruitment and survival than peripheral populations; (iv) contributions involving dispersal are not clearly related to overall metapopulation density; and (v) estimated contributions from outside the system are unexpectedly large. Our analytical framework can classify metapopulations on a continuum between demographic independence and panmixia, detect hidden population growth contributions, and make inference about other population linkage forms, including rescue effects and source-sink structures. Finally, we discuss differences between demographic and genetic population linkage patterns for our system.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Hungary 1 1%
Brazil 1 1%
Unknown 69 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 34%
Student > Ph. D. Student 16 22%
Professor > Associate Professor 8 11%
Student > Bachelor 4 5%
Student > Doctoral Student 3 4%
Other 11 15%
Unknown 7 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 68%
Environmental Science 11 15%
Biochemistry, Genetics and Molecular Biology 2 3%
Economics, Econometrics and Finance 2 3%
Immunology and Microbiology 1 1%
Other 0 0%
Unknown 8 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 December 2011.
All research outputs
#20,930,935
of 25,707,225 outputs
Outputs from Proceedings of the Royal Society B: Biological Sciences
#10,866
of 11,410 outputs
Outputs of similar age
#107,856
of 127,511 outputs
Outputs of similar age from Proceedings of the Royal Society B: Biological Sciences
#79
of 90 outputs
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