Distance-based eigenvector maps (DBEM) to analyse metapopulation structure with irregular sampling |
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Authors: | Fran ois Munoz |
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Affiliation: | aCentre d’Ecologie Fonctionnelle et Evolutive, 1919 route de Mende, F-34293 Montpellier Cedex 5, France;bUniversité Montpellier 2, UMR AMAP (botAnique et bioinforMatique de l’Architecture des Plantes), boulevard de la Lironde, TA A-51/PS2, F-34398 Montpellier Cedex 5, France. |
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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. |
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Keywords: | Spectral analysis Distance-based eigenvector maps (DBEM) Smoothing Metapopulation Habitat structuring Principal Component Analysis |
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