Estimating and controlling for spatial structure in the study of ecological communities

By P. Peres‐Neto, Pierre Legendre. 2010

431 citations recorded by the source corpus.

Subfields: Ecological Modeling, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/1fece930784c77bb9dfaaa105c7471a1e7fdf3e6

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In Ecological Modeling

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

How far can we go in simplifying biomonitoring assessments? An integrated analysis of taxonomic surrogacy, taxonomic sufficiency and numerical resolution in a megadiverse region (2012, background): “Detailed descriptions of variation partitioning based on RDA can be found in Peres-Neto and Legendre (2010) and references therein.”
Integrating dispersal proxies in ecological and environmental research in the freshwater realm (2017, background): “In studies of 452 metacommunity structure, this inference is valid only if one assumes that no relevant 453 environmental variables have been overlooked and that the effects of biotic interactions on 454 the spatial patterns of community structure are negligible (Peres-Neto and Legendre 2010; 455 Ve”
Community ecology in the age of multivariate multiscale spatial analysis (2012, methodology): “This modeling allows one to determine how much of the species variation is spatially structured, and within that, how much variation can be related to the influence of the measured environmental variables (see Legendre et al. 2009, Peres-Neto and Legendre 2010).”
From Classical to Canonical Ordination (2012, background): “, modern environmental data) (Peres-Neto and Legendre 2010); (2) determining the partial, singular effect of an explanatory vari-”
Biodiversity patterns in a macroinvertebrate community of a temporary pond network (2014, background): “Peres-Neto, P.R. & Legendre, P. (2010) Estimating and controlling for spatial structure in the study of ecological communities. Global Ecology and Biogreography, 19, 174–184. Peres-Neto, P.R., Legendre, P., Dray, S. & Borcard, D. (2006) Variation partitioning of species data matrices: estimation and”
Spatiotemporal dynamics in a seasonal metacommunity structure is predictable: the case of floodplain‐fish communities (2013, methodology): “sel’ function of the ‘packfor’ library for (Peres-Neto and Legendre 2010).”
Using functional traits to investigate the determinants of crustacean zooplankton community structure (2013, background): “Th ere are two potential approaches (Peres-Neto and Legendre 2010): one involves simply adjusting the model residuals by using spatial weights in the regression and another explicitly considers spatial predictors in the model.”
Should the Mantel test be used in spatial analysis? (2015, background): “There are alternative ways of testing the significance of the correlation between two raw data vectors or matrices while controlling for spatial structure, as shown in Peres-Neto & Legendre (2010) and in Legendre&Legendre (2012).”
Putting the landscape into the genomics of trees: approaches for understanding local adaptation and population responses to changing climate (2013, background): “It is possible to carry out correct tests of significance of the response to environmental data in the presence of spatial correlation (Peres-Neto and Legendre 2010).”
Spatial statistics, spatial regression, and graph theory in ecology (2012, methodology): “To determine the source(s), an alternative hypothesis testing approach should be used, based on appropriate and hypothesis-specific sampling designs (McIntire and Fajardo, 2009) and analysis using variance partitioning approaches (Peres-Neto and Legendre, 2010).”