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

François Munoz

Ecological Modelling, 2009, vol. 220, issue 20, 2683-2689

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.

Keywords: Spectral analysis; Distance-based eigenvector maps (DBEM); Smoothing; Metapopulation; Habitat structuring; Principal Component Analysis (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:220:y:2009:i:20:p:2683-2689

DOI: 10.1016/j.ecolmodel.2009.07.008

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