Use este identificador para citar ou linkar para este item: http://repositorio.bc.ufg.br/handle/ri/11021
Tipo do documento: Artigo
Título: Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression
Autor: Bini, L. Mauricio
Diniz Filho, José Alexandre Felizola
Rangel, Thiago F. L. V. B.
Akre, Thomas S. B.
Albaladejo, Rafael G.
Albuquerque, Fabio S.
Aparicio, Abelardo
Araújo, Miguel B.
Baselga, Andrés
Jan Beck
Bellocq, M. Isabel
Bohning-Gaese, Katrin
Borges, Paulo A. V.
Castro-Parga, Isabel
Chey, Vun Khen
Chown, Steven L.
De Marco Júnior, Paulo
Dobkin, David S.
Ferrer-Castán, Dolores
Terribile, Levi Carina
Filloy, Julieta
Fleishman, Erica
Gómez, Jose F.
Hortal, Joaquín
Iverson, John B.
Kerr, Jeremy T.
Field, Richard
Kissling, W. Daniel
Kitching, Ian J.
León-Cortés, Jorge L.
Lobo, Jorge M.
Montoya, Daniel
Morales-Castilla, Ignacio
Moreno, Juan C.
Oberdorff, Thierry
Olalla-Tárraga, Miguel Á.
Rodríguez, Miguel Á.
Pausas, Juli G.
Qian, Hong
Rahbek, Carsten
Rueda, Marta
Ruggiero, Adriana
Sackmann, Paula
Sanders, Nathan J.
Hawkins, Bradford A.
Vetaas, Ole R.
Abstract: A major focus of geographical ecology and macroecology is to understand the causes of spatially structured ecological patterns. However, achieving this understanding can be complicated when using multiple regression, because the relative importance of explanatory variables, as measured by regression coefficients, can shift depending on whether spatially explicit or non-spatial modeling is used. However, the extent to which coefficients may shift and why shifts occur are unclear. Here, we analyze the relationship between environmental predictors and the geographical distribution of species richness, body size, range size and abundance in 97 multi-factorial data sets. Our goal was to compare standardized partial Ecography 32: 193 204, 2009 doi: 10.1111/j.1600-0587.2009.05717.x # 2009 The Authors. Journal compilation # 2009 Ecography Subject Editor: Jens-Christian Svenning. Accepted 8 January 2009 193 regression coefficients of non-spatial ordinary least squares regressions (i.e. models fitted using ordinary least squares without taking autocorrelation into account; ‘‘OLS models’’ hereafter) and eight spatial methods to evaluate the frequency of coefficient shifts and identify characteristics of data that might predict when shifts are likely. We generated three metrics of coefficient shifts and eight characteristics of the data sets as predictors of shifts. Typical of ecological data, spatial autocorrelation in the residuals of OLS models was found in most data sets. The spatial models varied in the extent to which they minimized residual spatial autocorrelation. Patterns of coefficient shifts also varied among methods and datasets, although the magnitudes of shifts tended to be small in all cases. We were unable to identify strong predictors of shifts, including the levels of autocorrelation in either explanatory variables or model residuals. Thus, changes in coefficients between spatial and non-spatial methods depend on the method used and are largely idiosyncratic, making it difficult to predict when or why shifts occur. We conclude that the ecological importance of regression coefficients cannot be evaluated with confidence irrespective of whether spatially explicit modelling is used or not. Researchers may have little choice but to be more explicit about the uncertainty of models and more cautious in their interpretation.
Palavras-chave: Geographical ecology
Spatially structured ecological
País: outros
Unidade acadêmica: ICB
Programa: Programa de Pós-Graduação em Ecologia e Evolução
Citação: BINI, L. M.; DINIZ-FILHO; RANGEL, T.; AKRE, Thomas S. B.; ALBALADEJO, Rafael G.; ALBUQUERQUE, Fabio S.; APARICIO, Abelardo; ARAÚJO, Miguel B.; BASELGA, Andrés; BECK, J.; BELLOCQ; BOHNING-GAESE; BORGES; CASTRO-PARGA; CHEY; CHOWN; DE MARCO JR.; FERRER-CASTÁN, Field; FILLOY; FLESHMAN; GÓMEZ, HORTAL; IVERSON; KERR; et al. Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression. Ecography, Copenhagen, v. 32, p. 193-204, Jan. 2009. Disponível em: <http://onlinelibrary.wiley.com/doi/10.1111/j.1600-0587.2009.05717.x/epdf>.
Tipo de acesso: Acesso Aberto
Identificador do documento: doi: 10.1111/j.1600-0587.2009.05717.x
Identificador do documento: doi: 10.1111/j.1600-0587.2009.05717.x
URI: http://repositorio.bc.ufg.br/handle/ri/11021
Data de publicação: 8-Jan-2009
Aparece nas coleções:ICB - Artigos publicados em periódicos

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