Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.3/1632
Título: Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression
Autor: Bini, L. Mauricio
Diniz-Filho, J. Alexandre F.
Rangel, Thiago F. L. V. B.
Akre, Thomas S. B.
Albaladejo, Rafael G.
Albuquerque, Fabio S.
Aparicio, Abelardo
Araújo, Miguel B.
Baselga, Andrés
Beck, Jan
Bellocq, M. Isabel
Böhning-Gaese, Katrin
Borges, Paulo A. V.
Castro-Parga, Isabel
Chey, Vun Khen
Chown, Steven L.
Marco, Paulo de Jr
Dobkin, David S.
Ferrer-Castán, Dolores
Field, Richard
Filloy, Julieta
Fleishman, Erica
Gómez, Jose F.
Hortal, Joaquín
Iverson, John B.
Kerr, Jeremy T.
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.
Pausas, Juli G.
Qian, Hong
Rahbek, Carsten
Rodríguez, Miguel Á.
Rueda, Marta
Ruggiero, Adriana
Sackmann, Paula
Sanders, Nathan J.
Terribile, Levi Carina
Vetaas, Ole R.
Hawkins, Bradford A.
Palavras-chave: Patterns of Diversity
Data: Abr-2009
Editora: Wiley-Blackwell
Citação: Mauricio Bini, L.; Diniz-Filho, J. Alexandre F.; Rangel, Thiago F.L.V.B.; Akre, Thomas S.B.; Albaladejo, Rafael G.; Albuquerque, Fabio S.; Aparicio, Abelardo; Araújo, Miguel B.; Baselga, Andrés; Beck, Jan; Isabel Bellocq, M.; Böhning-Gaese, Katrin; Borges, Paulo A.V.; Castro-Parga, Isabel; Khen Chey, Vun; Chown, Steven L.; de Marco, Jr, Paulo; Dobkin, David S.; Ferrer-Castán, Dolores; Field, Richard; Filloy, Julieta; Fleishman, Erica; Gómez, Jose F.; Hortal, Joaquín; Iverson, John B.; Kerr, Jeremy T.; Daniel Kissling, W.; Kitching, Ian J.; León-Cortés, Jorge L.; Lobo, Jorge M.; Montoya, Daniel; Morales-Castilla, Ignacio; Moreno, Juan C.; Oberdorff, Thierry; Olalla-Tárraga, Miguel Á.; Pausas, Juli G.; Qian, Hong; Rahbek, Carsten; Rodríguez, Miguel Á.; Rueda, Marta; Ruggiero, Adriana; Sackmann, Paula; Sanders, Nathan J.; Carina Terribile, Levi; Vetaas, Ole R.; Hawkins, Bradford A. (2009). "Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression". «Ecography», 32(2): 193-204. dx.doi.org/10.1111/j.1600-0587.2009.05717.x
Resumo: A major focus of geographical ecology and macro ecology is to understand the causes of spatially structured ecological patterns. However, achieving this understanding can be complicated when using multiple regressions, because the relative importance of explanatory variables, as measured by regression coefficients, can shift depending on whether spatially explicit or non-spatial modelling 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 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.
Descrição: Copyright © 2009 The Authors. Copyright © ECOGRAPHY 2009.
Peer review: yes
URI: http://hdl.handle.net/10400.3/1632
ISSN: 0906-7590 (Print)
1600-0587 (Online)
Versão do Editor: http://dx.doi.org/10.1111/j.1600-0587.2009.05717.x
Aparece nas colecções:DCA - Artigos em Revistas Internacionais / Articles in International Journals

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