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Título:
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Community ecology in the age of multivariate multiscale spatial analysis
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Autor/a:
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Dray, S.; Pélissier, R.; Couteron, P.; Fortin, Marie-Josée; Legendre, Pierre; Peres-Neto, P. R.; Bellier, E.; Bivand, R.; Blanchet, F. G.; De Cáceres, Miquel; Dufour, A.-B.; Heegaard, Einar; Jombart, T.; Munoz, F.; Oksanen, J.; Thioulouse, J.; Wagner, H. H.
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Notas:
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Species spatial distributions are the result of population demography, behavioral traits, and species interactions in spatially heterogeneous environmental conditions. Hence the composition of species assemblages is an integrative response variable, and its variability can be explained by the complex interplay among several structuring factors. The thorough analysis of spatial variation in species assemblages may help infer processes shaping ecological communities. We suggest that ecological studies would benefit from the combined use of the classical statistical models of community composition data, such as constrained or unconstrained multivariate analyses of site‐by‐species abundance tables, with rapidly emerging and diversifying methods of spatial pattern analysis. Doing so allows one to deal with spatially explicit ecological models of beta diversity in a biogeographic context through the multiscale analysis of spatial patterns in original species data tables, including spatial characterization of fitted or residual variation from environmental models. We summarize here the recent progress for specifying spatial features through spatial weighting matrices and spatial eigenfunctions in order to define spatially constrained or scale‐explicit multivariate analyses. Through a worked example on tropical tree communities, we also show the potential of the overall approach to identify significant residual spatial patterns that could arise from the omission of important unmeasured explanatory variables or processes.
This contribution originated from the SEDAR workshop partially funded by the University Lyon 1, the PRABI, and the LBBE, UMR CNRS 5558. This research was supported by grants ANR 07 BDIV 014‐03 to S. Dray, NSERC Discovery Grants to M. J. Fortin, P. Legendre, P. Peres‐Neto, and H. H. Wagner, MEDD 05 EcoTrop (OSDA) 0000223 to R. Pélissier, P. Couteron, and F. Munoz, and a Canada Research Chair to P. Peres‐Neto. F. G. Blanchet was supported by an NSERC Discovery Grant to Fangliang He. |
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Materia(s):
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-Ecological community
-Multivariate spatial data
-Spatial autocorrelation
-Spatial connectivity
-Spatial eigenfunction
-Spatial structure
-Spatial weight |
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Derechos:
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(c) Ecological Society of America, 2012
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Tipo de documento:
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Artículo
Artículo - Versión publicada |
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Editor:
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Ecological Society of America
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Compartir:
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