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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| Veröffentlicht in: | Ecology (Durham) Jg. 91; H. 8; S. 2455 - 2465 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Washington, DC
Ecological Society of America
01.08.2010
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| ISSN: | 0012-9658, 1939-9170 |
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| Abstract | 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 are widely covered in the literature, only sparse attention is given to their integration. This paper focuses on the interplay between RSA and the spatial scaling of species-environment relationships. Using a hypothetical species in an artificial landscape, we show that a mismatch between the scale of analysis and the scale of a species' response to its environment leads to a decrease in the portion of variation explained by environmental predictors. Moreover, it results in RSA and biased regression coefficients. This bias stems from error-predictor dependencies due to the scale mismatch, the magnitude of which depends on the interaction between the scale of landscape heterogeneity and the scale of a species' response to this heterogeneity. We show that explicitly considering scale effects on RSA can reveal the characteristic scale of a species' response to its environment. This is important, because the estimation of species-environment relationships using spatial regression methods proves to be erroneous in case of a scale mismatch, leading to spurious conclusions when scaling issues are not explicitly considered. The findings presented here highlight the importance of examining the appropriateness of the spatial scales used in analyses, since scale mismatches affect the rigor of statistical analyses and thereby the ability to understand the processes underlying spatial patterning in ecological phenomena. |
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| AbstractList | 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 are widely covered in the literature, only sparse attention is given to their integration. This paper focuses on the interplay between RSA and the spatial scaling of species-environment relationships. Using a hypothetical species in an artificial landscape, we show that a mismatch between the scale of analysis and the scale of a species' response to its environment leads to a decrease in the portion of variation explained by environmental predictors. Moreover, it results in RSA and biased regression coefficients. This bias stems from error-predictor dependencies due to the scale mismatch, the magnitude of which depends on the interaction between the scale of landscape heterogeneity and the scale of a species' response to this heterogeneity. We show that explicitly considering scale effects on RSA can reveal the characteristic scale of a species' response to its environment. This is important, because the estimation of species-environment relationships using spatial regression methods proves to be erroneous in case of a scale mismatch, leading to spurious conclusions when scaling issues are not explicitly considered. The findings presented here highlight the importance of examining the appropriateness of the spatial scales used in analyses, since scale mismatches affect the rigor of statistical analyses and thereby the ability to understand the processes underlying spatial patterning in ecological phenomena. 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 are widely covered in the literature, only sparse attention is given to their integration. This paper focuses on the interplay between RSA and the spatial scaling of species-environment relationships. Using a hypothetical species in an artificial landscape, we show that a mismatch between the scale of analysis and the scale of a species' response to its environment leads to a decrease in the portion of variation explained by environmental predictors. Moreover, it results in RSA and biased regression coefficients. This bias stems from error-predictor dependencies due to the scale mismatch, the magnitude of which depends on the interaction between the scale of landscape heterogeneity and the scale of a species' response to this heterogeneity. We show that explicitly considering scale effects on RSA can reveal the characteristic scale of a species' response to its environment. This is important, because the estimation of species-environment relationships using spatial regression methods proves to be erroneous in case of a scale mismatch, leading to spurious conclusions when scaling issues are not explicitly considered. The findings presented here highlight the importance of examining the appropriateness of the spatial scales used in analyses, since scale mismatches affect the rigor of statistical analyses and thereby the ability to understand the processes underlying spatial patterning in ecological phenomena. [PUBLICATION ABSTRACT] 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 are widely covered in the literature, only sparse attention is given to their integration. This paper focuses on the interplay between RSA and the spatial scaling of species-environment relationships. Using a hypothetical species in an artificial landscape, we show that a mismatch between the scale of analysis and the scale of a species' response to its environment leads to a decrease in the portion of variation explained by environmental predictors. Moreover, it results in RSA and biased regression coefficients. This bias stems from error-predictor dependencies due to the scale mismatch, the magnitude of which depends on the interaction between the scale of landscape heterogeneity and the scale of a species' response to this heterogeneity. We show that explicitly considering scale effects on RSA can reveal the characteristic scale of a species' response to its environment. This is important, because the estimation of species-environment relationships using spatial regression methods proves to be erroneous in case of a scale mismatch, leading to spurious conclusions when scaling issues are not explicitly considered. The findings presented here highlight the importance of examining the appropriateness of the spatial scales used in analyses, since scale mismatches affect the rigor of statistical analyses and thereby the ability to understand the processes underlying spatial patterning in ecological phenomena.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 are widely covered in the literature, only sparse attention is given to their integration. This paper focuses on the interplay between RSA and the spatial scaling of species-environment relationships. Using a hypothetical species in an artificial landscape, we show that a mismatch between the scale of analysis and the scale of a species' response to its environment leads to a decrease in the portion of variation explained by environmental predictors. Moreover, it results in RSA and biased regression coefficients. This bias stems from error-predictor dependencies due to the scale mismatch, the magnitude of which depends on the interaction between the scale of landscape heterogeneity and the scale of a species' response to this heterogeneity. We show that explicitly considering scale effects on RSA can reveal the characteristic scale of a species' response to its environment. This is important, because the estimation of species-environment relationships using spatial regression methods proves to be erroneous in case of a scale mismatch, leading to spurious conclusions when scaling issues are not explicitly considered. The findings presented here highlight the importance of examining the appropriateness of the spatial scales used in analyses, since scale mismatches affect the rigor of statistical analyses and thereby the ability to understand the processes underlying spatial patterning in ecological phenomena. 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 are widely covered in literature, only sparse attention is given to their integration. This paper focuses on the interplay between RSA and the spatial scaling of species-environment relationships. Using a hypothetical species in an artificial landscape, we show that a mismatch between the scale of analysis and the scale of a species' response to its environment leads to a decrease in the portion of variation explained by environmental predictors. Moreover, it results in RSA and biased regression coefficients. This bias stems from error-predictor dependencies due to the scale mismatch, the magnitude of which depends on the interaction between the scale of landscape heterogeneity and the scale of a species' response to this heterogeneity. We show that explicitly considering scale effects on RSA can reveal the characteristic scale of a species' response to its environment. This is important, because the estimation of species-environment relationships using spatial regression methods proves to be erroneous in case of a scale mismatch, leading to spurious conclusions when scaling issues are not explicitly considered. The findings presented here highlight the importance of examining the appropriateness of the spatial scales used in analyses, since scale mismatches affect the rigor of statistical analyses and thereby the ability to understand the processes underlying spatial patterning in ecological phenomena. |
| Author | de Knegt, H. J. van Langevelde, F. Prins, H. H. T. Knox, N. M. Slotow, R. Coughenour, M. B. Skidmore, A. K. de Boer, W. F. van der Waal, C. Heitkönig, I. M. A. |
| Author_xml | – sequence: 1 givenname: H. J surname: de Knegt fullname: de Knegt, H. J organization: Resource Ecology Group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands – sequence: 2 givenname: F surname: van Langevelde fullname: van Langevelde, F organization: Resource Ecology Group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands – sequence: 3 givenname: M. B surname: Coughenour fullname: Coughenour, M. B organization: Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, Colorado 80523-1499 USA – sequence: 4 givenname: A. K surname: Skidmore fullname: Skidmore, A. K organization: Department of Natural Resources, International Institute for Geo-Information Science and Earth Observation, P.O. Box 6, 7500 AA Enschede, The Netherlands – sequence: 5 givenname: W. F surname: de Boer fullname: de Boer, W. F organization: Resource Ecology Group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands – sequence: 6 givenname: I. M. A surname: Heitkönig fullname: Heitkönig, I. M. A organization: Resource Ecology Group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands – sequence: 7 givenname: N. M surname: Knox fullname: Knox, N. M organization: Department of Natural Resources, International Institute for Geo-Information Science and Earth Observation, P.O. Box 6, 7500 AA Enschede, The Netherlands – sequence: 8 givenname: R surname: Slotow fullname: Slotow, R organization: School of Biological and Conservation Sciences, University of KwaZulu-Natal, Private Bag X54001, Durban 4000, South Africa – sequence: 9 givenname: C surname: van der Waal fullname: van der Waal, C organization: Resource Ecology Group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands – sequence: 10 givenname: H. H. T surname: Prins fullname: Prins, H. H. T organization: Resource Ecology Group, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands |
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| Cites_doi | 10.1111/j.0906-7590.2007.05117.x 10.1034/j.1600-0587.2002.250509.x 10.1034/j.1600-0587.2002.250508.x 10.1890/02-0738 10.1111/j.1472-4642.2006.00293.x 10.1111/j.1365-2699.2007.01808.x 10.1093/beheco/arm080 10.1111/j.1466-8238.2007.00334.x 10.1016/0166-0462(92)90037-2 10.1068/a37378 10.2307/1939924 10.1111/j.1365-2664.2006.01162.x 10.1016/S0304-3800(01)00501-4 10.1007/s11129-005-1177-6 10.1111/j.2006.0030-1299.15131.x 10.1111/j.2007.0906-7590.05338.x 10.1890/07-1880.1 10.1111/j.2007.0906-7590.05358.x 10.2307/1941447 10.1890/04-0914 10.1046/j.1466-822X.2003.00322.x 10.1007/s00442-008-1214-8 10.1111/j.2007.0906-7590.05171.x 10.1890/0012-9658(2006)87[2603:SMIETF]2.0.CO;2 10.1890/0012-9658(2006)87[2614:VPOSDM]2.0.CO;2 10.1641/0006-3568(2004)054[0227:DTSSOS]2.0.CO;2 10.1016/S0169-2046(03)00057-4 10.1890/0012-9658(2002)083[1421:SDEOLC]2.0.CO;2 10.1034/j.1600-0587.2000.230512.x 10.1016/j.amepre.2005.09.015 10.1890/07-2096.1 10.1093/pan/mpn003 10.1111/j.1600-0587.2009.05717.x 10.1890/03-3111 10.1111/j.1600-0587.2008.05562.x 10.4135/9780857020130.n6 10.1007/978-3-662-05617-2 10.4135/9780857020130.n7 10.1111/j.1466-822X.2005.00147.x 10.1111/j.0030-1299.2008.16403.x 10.1890/06-1672.1 10.1111/j.1600-0587.2000.tb00265.x 10.1890/02-3114 10.2307/2532039 10.1198/016214502760047140 10.1017/CBO9780511618581.008 10.1016/j.actao.2008.11.004 10.1890/05-0549 10.1111/j.1600-0587.2009.05907.x 10.1017/CBO9780511542039 10.1017/CBO9780511754944 10.1016/j.ecocom.2008.10.011 10.2307/1940179 10.1111/j.1574-0862.2002.tb00120.x 10.2307/2532625 10.1111/j.1466-8238.2006.00279.x 10.4135/9780857020130.n14 |
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| Keywords | Landscape Variable omitted variable bias spatially lagged predictor Bias landscape context Regression scale spatial autocorrelation species-environment relationships Environment spatial regression Autocorrelation |
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| References | 2007; 39 2006; 30 1989; 45 2002; 153 2002; 97 2007; 30 2007; 34 2009; 159 2003; 12 2002; 83 2009; 90 1993; 74 2005; 75 2008; 117 1981 2007; 3 2003; 84 2007; 18 2004; 85 1993; 49 2000; 23 2008; 16 2008; 17 2009 2008 2007 2005; 86 2005 2004 2003 2002 1991 2007; 13 1992; 73 32 2007; 16 2002; 27 2004; 54 2002; 25 2009; 35 2009; 32 2007; 116 2006; 87 2006; 43 2009; 6 2005; 3 1992; 22 2007; 88 2003; 65 2005; 14 e_1_2_6_51_1 e_1_2_6_53_1 e_1_2_6_32_1 e_1_2_6_30_1 R Development Core Team. (e_1_2_6_57_1) 2009 Bjornstad O. N. (e_1_2_6_11_1) 2009 e_1_2_6_19_1 e_1_2_6_13_1 e_1_2_6_36_1 Cliff A. D. (e_1_2_6_16_1) 1981 e_1_2_6_34_1 e_1_2_6_17_1 e_1_2_6_55_1 e_1_2_6_38_1 e_1_2_6_62_1 e_1_2_6_64_1 e_1_2_6_43_1 e_1_2_6_20_1 e_1_2_6_41_1 e_1_2_6_60_1 e_1_2_6_5_1 e_1_2_6_7_1 e_1_2_6_24_1 e_1_2_6_49_1 Schabenberger O. (e_1_2_6_58_1) 2005 e_1_2_6_3_1 e_1_2_6_22_1 e_1_2_6_66_1 Bivand R. (e_1_2_6_10_1) 2009 e_1_2_6_45_1 e_1_2_6_26_1 e_1_2_6_47_1 e_1_2_6_68_1 e_1_2_6_52_1 Ayinde K. (e_1_2_6_6_1) 2007; 3 e_1_2_6_54_1 Pinheiro J. C. (e_1_2_6_56_1) 2008 e_1_2_6_31_1 e_1_2_6_50_1 Bini L. M. (e_1_2_6_9_1); 32 Cressie N. A. C. (e_1_2_6_18_1) 1991 Schlather M. (e_1_2_6_59_1) 2008 e_1_2_6_14_1 e_1_2_6_35_1 e_1_2_6_12_1 e_1_2_6_33_1 e_1_2_6_39_1 e_1_2_6_37_1 e_1_2_6_63_1 e_1_2_6_42_1 e_1_2_6_65_1 e_1_2_6_21_1 e_1_2_6_40_1 e_1_2_6_61_1 Dormann C. F. (e_1_2_6_28_1) 2007 e_1_2_6_8_1 e_1_2_6_4_1 e_1_2_6_25_1 e_1_2_6_48_1 e_1_2_6_23_1 e_1_2_6_2_1 Brennan J. M. (e_1_2_6_15_1) 2002 e_1_2_6_29_1 e_1_2_6_44_1 e_1_2_6_67_1 e_1_2_6_27_1 e_1_2_6_46_1 e_1_2_6_69_1 |
| References_xml | – volume: 117 start-page: 543 year: 2008 end-page: 554 article-title: Herbivores as architects of savannas: inducing and modifying spatial vegetation patterning. publication-title: Oikos – volume: 65 start-page: 201 year: 2003 end-page: 217 article-title: Consideration of grain and extent in landscape studies of terrestrial vertebrate ecology. publication-title: Landscape and Urban Planning – start-page: 89 year: 2009 end-page: 103 – volume: 30 start-page: S3 year: 2006 end-page: S6 article-title: How (not) to lie with spatial statistics. publication-title: American Journal of Preventive Medicine – volume: 35 start-page: 253 year: 2009 end-page: 260 article-title: The spatial structure of habitat selection: a caribou's-eye-view. publication-title: Acta Oecologica – year: 1981 – volume: 13 start-page: 66 year: 2007 end-page: 69 article-title: Incorporating spatial autocorrelation may invert observed patterns. publication-title: Diversity and Distributions – year: 2005 – volume: 39 start-page: 1193 year: 2007 end-page: 1221 article-title: Semiparametric filtering of spatial autocorrelation: the eigenvector approach. publication-title: Environment and Planning A – volume: 32 start-page: 374 year: 2009 end-page: 378 article-title: The ecological importance of space in species distribution models: a comment on Dormann et al. publication-title: Ecography – volume: 32 start-page: 193 end-page: 204 article-title: et al. 2009. Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression. publication-title: Ecography – volume: 14 start-page: 177 year: 2005 end-page: 185 article-title: Modelling geographical patterns in species richness using eigenvector-based spatial filters. publication-title: Global Ecology and Biogeography – start-page: 35 year: 2007 end-page: 42 – volume: 73 start-page: 1045 year: 1992 end-page: 1055 article-title: Partialling out the spatial component of ecological variation. publication-title: Ecology – volume: 83 start-page: 1421 year: 2002 end-page: 1432 article-title: Scale-dependent effects of landscape context on three pollinator guilds. publication-title: Ecology – volume: 32 start-page: 379 year: 2009 end-page: 381 article-title: Response to Comment on “Methods to account for spatial autocorrelation in the analysis of species distributional data: a review.”. publication-title: Ecography – volume: 45 start-page: 123 year: 1989 end-page: 134 article-title: Assessing the significance of the correlation between two spatial processes. publication-title: Biometrics – volume: 75 start-page: 435 year: 2005 end-page: 450 article-title: Analyzing beta diversity: partitioning the spatial variation of community composition data. publication-title: Ecological Monographs – volume: 23 start-page: 614 year: 2000 end-page: 622 article-title: Scale of habitat connectivity and colonization in fragmented Nuthatch populations. publication-title: Ecography – volume: 16 start-page: 129 year: 2007 end-page: 138 article-title: Effects of incorporating spatial autocorrelation into the analysis of species distribution data. publication-title: Global Ecology and Biogeography – volume: 34 start-page: 2009 year: 2007 end-page: 2011 article-title: Disentangling the roles of environment and space in ecology. publication-title: Journal of Biogeography – volume: 23 start-page: 101 year: 2000 end-page: 113 article-title: Red-shifts and red herrings in geographical ecology. publication-title: Ecography – volume: 85 start-page: 342 year: 2004 end-page: 351 article-title: Direct multi-scale ordination with canonical correspondence analysis. publication-title: Ecology – volume: 25 start-page: 616 year: 2002 end-page: 625 article-title: Accounting for spatial pattern when modeling organism–environment interactions. publication-title: Ecography – year: 2004 – volume: 30 start-page: 375 year: 2007 end-page: 384 article-title: Red herrings revisited: spatial autocorrelation and parameter estimation in geographical ecology. publication-title: Ecography – volume: 86 start-page: 1975 year: 2005 end-page: 1987 article-title: Spatial analysis of landscapes: concepts and statistics. publication-title: Ecology – volume: 87 start-page: 2603 year: 2006 end-page: 2613 article-title: Spatial modeling in ecology: the flexibility of eigenfunction spatial analyses. publication-title: Ecology – year: 2008 publication-title: nlme: Linear and nonlinear mixed effects models. R package version 3.1-90 – volume: 97 start-page: 632 year: 2002 end-page: 648 article-title: Combining incompatible spatial data. publication-title: Journal of the American Statistical Association – volume: 49 start-page: 305 year: 1993 end-page: 314 article-title: Modifying the test for assessing the correlation between two spatial processes. publication-title: Biometrics – volume: 22 start-page: 405 year: 1992 end-page: 432 article-title: Specification and estimation of spatial linear regression models: Monte Carlo evaluation of pre-test estimators. publication-title: Regional Science and Urban Economics – start-page: 67 year: 2002 end-page: 91 – volume: 74 start-page: 1659 year: 1993 end-page: 1673 article-title: Spatial autocorrelation: trouble or new paradigm? publication-title: Ecology – volume: 54 start-page: 227 year: 2004 end-page: 233 article-title: Determining the spatial scale of species' response to habitat. publication-title: BioScience – volume: 73 start-page: 1943 year: 1992 end-page: 1967 article-title: The problem of pattern and scale in ecology: the Robert H. MacArthur Award lecture. publication-title: Ecology – volume: 16 start-page: 345 year: 2008 end-page: 349 article-title: Wouldn't it be nice ...? The automatic unbiasedness of OLS (and GLS). publication-title: Political Analysis – volume: 3 start-page: 365 year: 2005 end-page: 392 article-title: Solving and testing for regressor-error (in)dependence when no instrumental variables are available: with new evidence for the effect of education on income. publication-title: Quantitative Marketing and Economics – volume: 116 start-page: 4 year: 2007 end-page: 16 article-title: Can the cause of aggregation be inferred from species distributions? publication-title: Oikos – year: 2009 publication-title: spdep: spatial dependence: weighting schemes, statistics and models. R package version 0.4-34 – volume: 30 start-page: 848 year: 2007 end-page: 851 article-title: Are spatial regression methods a panacea or a Pandora's box? A reply to Beale et al. (2007). publication-title: Ecography – year: 2003 – volume: 153 start-page: 51 year: 2002 end-page: 68 article-title: All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices. publication-title: Ecological Modelling – volume: 43 start-page: 433 year: 2006 end-page: 444 article-title: Consequences of spatial autocorrelation for niche-based models. publication-title: Journal of Applied Ecology – volume: 3 start-page: 196 year: 2007 end-page: 200 article-title: A comparative study of the performances of the OLS and some GLS estimators when stochastic regressors are both collinear and correlated with error terms. publication-title: Journal of Mathematics and Statistics – volume: 84 start-page: 2809 year: 2003 end-page: 2815 article-title: Confronting multicollinearity in ecological multiple regression. publication-title: Ecology – volume: 87 start-page: 2614 year: 2006 end-page: 2625 article-title: Variance partitioning of species data matrices: estimation and comparison of fractions. publication-title: Ecology – volume: 30 start-page: 609 year: 2007 end-page: 628 article-title: Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. publication-title: Ecography – volume: 90 start-page: 663 year: 2009 end-page: 674 article-title: Partitioning beta diversity in a subtropical broad-leaved forest of China. publication-title: Ecology – volume: 18 start-page: 1065 year: 2007 end-page: 1072 article-title: Patch density determines movement patterns and foraging efficiency of large herbivores. publication-title: Behavioral Ecology – volume: 12 start-page: 53 year: 2003 end-page: 64 article-title: Spatial autocorrelation and red herrings in geographical ecology. publication-title: Global Ecology and Biogeography – volume: 88 start-page: 1634 year: 2007 end-page: 1640 article-title: Spectrum of selection: new approaches to detecting the scale-dependent response to habitat. publication-title: Ecology – volume: 27 start-page: 247 year: 2002 end-page: 267 article-title: Under the hood. Issues in the specification and interpretation of spatial regression models. publication-title: Agricultural Economics – volume: 159 start-page: 377 year: 2009 end-page: 388 article-title: Assessing the scale-specific importance of niches and other spatial processes on beta diversity: a case study from a temperate forest. publication-title: Oecologia – volume: 6 start-page: 150 year: 2009 end-page: 159 article-title: Factors limiting our understanding of ecological scale. publication-title: Ecological Complexity – year: 2009 publication-title: ncf: spatial nonparametric covariance functions. R package version 1.1-2 – volume: 25 start-page: 601 year: 2002 end-page: 615 article-title: The consequences of spatial structure for the design and analysis of ecological field surveys. publication-title: Ecography – start-page: 115 year: 2007 end-page: 136 – volume: 85 start-page: 1826 year: 2004 end-page: 1832 article-title: Dissecting the spatial structure of ecological data at multiple scales. publication-title: Ecology – volume: 17 start-page: 59 year: 2008 end-page: 71 article-title: Spatial autocorrelation and the selection of simultaneous autoregressive models. publication-title: Global Ecology and Biogeography – start-page: 255 year: 2009 end-page: 275 – start-page: 105 year: 2009 end-page: 123 – year: 2009 publication-title: R: a language and environment for statistical computing, version 2.8.1. R Foundation for Statistical Computing, Vienna, Austria – year: 2008 publication-title: RandomFields: simulation and analysis of random fields, R package version 1.3.35 – year: 1991 – volume: 90 start-page: 46 year: 2009 end-page: 56 article-title: Beyond description: the active and effective way to infer processes from spatial patterns. publication-title: Ecology – volume: 30 start-page: 845 year: 2007 end-page: 847 article-title: Red herrings remain in geographical ecology: a reply to Hawkins et al. publication-title: Ecography – ident: e_1_2_6_38_1 doi: 10.1111/j.0906-7590.2007.05117.x – ident: e_1_2_6_40_1 doi: 10.1034/j.1600-0587.2002.250509.x – ident: e_1_2_6_46_1 doi: 10.1034/j.1600-0587.2002.250508.x – ident: e_1_2_6_65_1 doi: 10.1890/02-0738 – ident: e_1_2_6_42_1 doi: 10.1111/j.1472-4642.2006.00293.x – year: 2009 ident: e_1_2_6_11_1 publication-title: ncf: spatial nonparametric covariance functions. R package version 1.1-2 – ident: e_1_2_6_19_1 doi: 10.1111/j.1365-2699.2007.01808.x – ident: e_1_2_6_21_1 doi: 10.1093/beheco/arm080 – ident: e_1_2_6_41_1 doi: 10.1111/j.1466-8238.2007.00334.x – ident: e_1_2_6_31_1 doi: 10.1016/0166-0462(92)90037-2 – ident: e_1_2_6_62_1 doi: 10.1068/a37378 – ident: e_1_2_6_44_1 doi: 10.2307/1939924 – ident: e_1_2_6_60_1 doi: 10.1111/j.1365-2664.2006.01162.x – ident: e_1_2_6_12_1 doi: 10.1016/S0304-3800(01)00501-4 – ident: e_1_2_6_30_1 doi: 10.1007/s11129-005-1177-6 – ident: e_1_2_6_64_1 doi: 10.1111/j.2006.0030-1299.15131.x – ident: e_1_2_6_7_1 doi: 10.1111/j.2007.0906-7590.05338.x – ident: e_1_2_6_47_1 doi: 10.1890/07-1880.1 – ident: e_1_2_6_24_1 doi: 10.1111/j.2007.0906-7590.05358.x – ident: e_1_2_6_49_1 doi: 10.2307/1941447 – ident: e_1_2_6_66_1 doi: 10.1890/04-0914 – ident: e_1_2_6_23_1 doi: 10.1046/j.1466-822X.2003.00322.x – ident: e_1_2_6_43_1 doi: 10.1007/s00442-008-1214-8 – ident: e_1_2_6_27_1 doi: 10.1111/j.2007.0906-7590.05171.x – volume: 3 start-page: 196 year: 2007 ident: e_1_2_6_6_1 article-title: A comparative study of the performances of the OLS and some GLS estimators when stochastic regressors are both collinear and correlated with error terms. publication-title: Journal of Mathematics and Statistics – volume-title: Spatial processes: models and applications year: 1981 ident: e_1_2_6_16_1 – start-page: 67 volume-title: Integrating landscape ecology into natural resource management year: 2002 ident: e_1_2_6_15_1 – year: 2009 ident: e_1_2_6_57_1 publication-title: R: a language and environment for statistical computing, version 2.8.1. R Foundation for Statistical Computing, Vienna, Austria – ident: e_1_2_6_36_1 doi: 10.1890/0012-9658(2006)87[2603:SMIETF]2.0.CO;2 – ident: e_1_2_6_55_1 doi: 10.1890/0012-9658(2006)87[2614:VPOSDM]2.0.CO;2 – ident: e_1_2_6_39_1 doi: 10.1641/0006-3568(2004)054[0227:DTSSOS]2.0.CO;2 – ident: e_1_2_6_51_1 doi: 10.1016/S0169-2046(03)00057-4 – year: 2008 ident: e_1_2_6_59_1 publication-title: RandomFields: simulation and analysis of random fields, R package version 1.3.35 – ident: e_1_2_6_61_1 doi: 10.1890/0012-9658(2002)083[1421:SDEOLC]2.0.CO;2 – ident: e_1_2_6_63_1 doi: 10.1034/j.1600-0587.2000.230512.x – ident: e_1_2_6_3_1 doi: 10.1016/j.amepre.2005.09.015 – ident: e_1_2_6_54_1 doi: 10.1890/07-2096.1 – ident: e_1_2_6_50_1 doi: 10.1093/pan/mpn003 – volume: 32 start-page: 193 ident: e_1_2_6_9_1 article-title: et al. 2009. Coefficient shifts in geographical ecology: an empirical evaluation of spatial and non-spatial regression. publication-title: Ecography doi: 10.1111/j.1600-0587.2009.05717.x – ident: e_1_2_6_13_1 doi: 10.1890/03-3111 – ident: e_1_2_6_8_1 doi: 10.1111/j.1600-0587.2008.05562.x – ident: e_1_2_6_33_1 doi: 10.4135/9780857020130.n6 – ident: e_1_2_6_5_1 doi: 10.1007/978-3-662-05617-2 – year: 2009 ident: e_1_2_6_10_1 publication-title: spdep: spatial dependence: weighting schemes, statistics and models. R package version 0.4-34 – ident: e_1_2_6_68_1 doi: 10.4135/9780857020130.n7 – ident: e_1_2_6_22_1 doi: 10.1111/j.1466-822X.2005.00147.x – ident: e_1_2_6_20_1 doi: 10.1111/j.0030-1299.2008.16403.x – ident: e_1_2_6_52_1 doi: 10.1890/06-1672.1 – ident: e_1_2_6_48_1 doi: 10.1111/j.1600-0587.2000.tb00265.x – ident: e_1_2_6_35_1 doi: 10.1890/02-3114 – ident: e_1_2_6_17_1 doi: 10.2307/2532039 – ident: e_1_2_6_34_1 doi: 10.1198/016214502760047140 – ident: e_1_2_6_69_1 doi: 10.1017/CBO9780511618581.008 – ident: e_1_2_6_53_1 doi: 10.1016/j.actao.2008.11.004 – volume-title: Statistics for spatial data year: 1991 ident: e_1_2_6_18_1 – ident: e_1_2_6_45_1 doi: 10.1890/05-0549 – ident: e_1_2_6_26_1 doi: 10.1111/j.1600-0587.2009.05907.x – ident: e_1_2_6_32_1 doi: 10.1017/CBO9780511542039 – ident: e_1_2_6_37_1 doi: 10.1017/CBO9780511754944 – ident: e_1_2_6_67_1 doi: 10.1016/j.ecocom.2008.10.011 – start-page: 35 volume-title: Multiple scales in ecology. Peter Lang year: 2007 ident: e_1_2_6_28_1 – ident: e_1_2_6_14_1 doi: 10.2307/1940179 – ident: e_1_2_6_2_1 doi: 10.1111/j.1574-0862.2002.tb00120.x – ident: e_1_2_6_29_1 doi: 10.2307/2532625 – year: 2008 ident: e_1_2_6_56_1 publication-title: nlme: Linear and nonlinear mixed effects models. R package version 3.1-90 – ident: e_1_2_6_25_1 doi: 10.1111/j.1466-8238.2006.00279.x – ident: e_1_2_6_4_1 doi: 10.4135/9780857020130.n14 – volume-title: Statistical methods for spatial data analysis year: 2005 ident: e_1_2_6_58_1 |
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| Title | Spatial autocorrelation and the scaling of species-environment relationships |
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