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Distance-based eigenvector maps (DBEM) to analyse metapopulation structure with irregular sampling

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  • Munoz, François

Abstract

Characterizing spatial patterns due to ecological processes is a major issue for analysing and predicting species distributions. Grasping the non-linear nature of population dynamics over networks of discrete suitable sites is here central, as very specific signatures are expected. In the line of promising results from Fourier analysis of metapopulation maps, we found distance-based eigenvector maps (DBEM) to help disentangle the respective signatures of habitat and metapopulation structuring, with the great advantage of being applicable to irregular sampling schemes, a common feature of ecological surveys. A smoothing procedure was required to obtain the distinguishable signatures, and this may be a critical issue for investigating non-contingent and reliable patterns in spatial ecology.

Suggested Citation

  • Munoz, François, 2009. "Distance-based eigenvector maps (DBEM) to analyse metapopulation structure with irregular sampling," Ecological Modelling, Elsevier, vol. 220(20), pages 2683-2689.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:20:p:2683-2689
    DOI: 10.1016/j.ecolmodel.2009.07.008
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    1. Munoz, François & Cheptou, Pierre-Olivier & Kjellberg, Finn, 2007. "Spectral analysis of simulated species distribution maps provides insights into metapopulation dynamics," Ecological Modelling, Elsevier, vol. 205(3), pages 314-322.
    2. Andrew J. Davis & Linda S. Jenkinson & John H. Lawton & Bryan Shorrocks & Simon Wood, 1998. "Making mistakes when predicting shifts in species range in response to global warming," Nature, Nature, vol. 391(6669), pages 783-786, February.
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    1. P Dilip Venugopal & Galen P Dively & Ames Herbert & Sean Malone & Joanne Whalen & William O Lamp, 2016. "Contrasting Role of Temperature in Structuring Regional Patterns of Invasive and Native Pestilential Stink Bugs," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-19, February.

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