Spatial autocorrelation and the scaling of species-environment relationships

Issues of residual spatial autocorrelation (RSA) and spatial scale are critical to the study of species-environment relationships, because RSA invalidates many statistical procedures, while the scale of analysis affects the quantification of these relationships. Although these issues independently a...

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Bibliographic Details
Published in:	Ecology (Durham) Vol. 91; no. 8; pp. 2455 - 2465
Main Authors:	de Knegt, H. J, van Langevelde, F, Coughenour, M. B, Skidmore, A. K, de Boer, W. F, Heitkönig, I. M. A, Knox, N. M, Slotow, R, van der Waal, C, Prins, H. H. T
Format:	Journal Article
Language:	English
Published:	Washington, DC Ecological Society of America 01.08.2010
Subjects:	account Animal and plant ecology Animal, plant and microbial ecology Animals Autocorrelation beta diversity Biological and medical sciences Computer Simulation Correlation analysis distributional data Ecological modeling Ecology Ecosystem Ecosystems Estimation bias et-al. 2007 Fundamental and applied biological sciences. Psychology General aspects geographical ecology habitat Heterogeneity landscape context Landscape ecology Landscapes Modeling Models, Biological omitted variable bias patterns Population Dynamics Rain red herrings Regression analysis Regression coefficients regression-models scale selection Spatial analysis spatial autocorrelation Spatial models spatial regression spatially lagged predictor Species species-environment relationships Statistical analysis Trees Urban ecology Landscape Variable omitted variable bias spatially lagged predictor Bias landscape context Regression scale spatial autocorrelation species-environment relationships Environment spatial regression Autocorrelation
ISSN:	0012-9658, 1939-9170
Online Access:	Get full text
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