Species distribution models: Spatial autocorrelation and non-stationarity

Progress in Physical Geography

Volumn 36, Issue 5, 2012, Pages 681-692

  Miller, Jennifer A ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

non stationarity; parameter estimation; prediction; scale; spatial autocorrelation; species distribution models

Indexed keywords

AUTOCORRELATION; COMMUNITY ECOLOGY; NUMERICAL MODEL; PREDICTION; SPATIAL DISTRIBUTION; STATISTICAL ANALYSIS;

EID: 84866491199     PISSN: 03091333     EISSN: None     Source Type: Journal    
DOI: 10.1177/0309133312442522     Document Type: Review

References (88)

1. Araújo M,Whittaker R,Ladle R,Erhard M.Reducing uncertainty in projections of extinction risk from climate change.Global Ecology and Biogeography. 2005;14 (6): 529-538.
2. Atkinson PM.Geographical information science.Progress in Physical Geography. 1997;21 (4): 573-582.
3. Atkinson PM.Geographical information science: Geocomputation and nonstationarity.Progress in Physical Geography. 2001;25 (1): 111-122.
4. Austin M.Species distribution models and ecological theory: A critical assessment and some possible new approaches.Ecological Modelling. 2007;200 (1-2): 1-19.
5. Austin MP,Van Niel KP.Improving species distribution models for climate change studies: Variable selection and scale.Journal of Biogeography. 2011;38 (1): 1-8.
6. Bahn V,O'Connor R,Krohn W.Importance of spatial autocorrelation in modeling bird distributions at a continental scale.Ecography. 2006;29:835-844.
7. Beale C,Lennon J,Elston D,Brewer M,Yearsley J.Red herrings remain in geographical ecology: A reply to Hawkinset al.(2007).Ecography. 2007;30:845-847.
8. Beale CM,Lennon JJ,Yearsley JM, et al.Regression analysis of spatial data.Ecology Letters. 2010;13 (2): 246-264.
9. Bickford S,Laffan S.Multi-extent analysis of the relationship between pteridophyte species richness and climate.Global Ecology and Biogeography. 2006;15:588-601.
10. Bini LM,Diniz-Filho JAF,Rangel TFLVB, et al.Coefficient shifts in geographical ecology: An empirical evaluation of spatial and non-spatial regression.Ecography. 2009;32 (2): 193-204.
11. Cassemiro FAS,Barreto B,Rangel T,Diniz-Filho J.Non-stationarity, diversity gradients and the metabolic theory of energy.Global Ecology and Biogeography. 2007;16 (6): 820-822.
12. Cliff AD,Ord JK.What were we thinking?.Geographical Analysis. 2009;41 (4): 351-363.
13. De Knegt HJ,Van Langevelde F,Coughenour MB, et al.Spatial autocorrelation and the scaling of species-environment relationships.Ecology. 2010;91 (8): 2455-2465.
14. Diniz-Filho JAF,Bini LM.Modelling geographical patterns in species richness using eigenvector-based spatial filters.Global Ecology and Biogeography. 2005;14 (2): 177-185.
15. Diniz-Filho JAF,Bini L,Hawkins B.Spatial autocorrelation and red herrings in geographical ecology.Global Ecology and Biogeography. 2003;12:53-64.
16. Diniz-Filho JAF,Rangel TFLVB,Bini LM.Model selection and information theory in geographical ecology.Global Ecology and Biogeography. 2008;17 (4): 479-488.
17. Dormann C.Effects of incorporating spatial autocorrelation into the analysis of species distribution data.Global Ecology and Biogeography. 2007a;16:129-138.
18. Dormann C.Assessing the validity of autologistic regression.Ecological Modelling. 2007b;207 (2-4): 234-242.
19. Dormann C,McPherson J,Araújo MB, et al.Methods to account for spatial autocorrelation in the analysis of species distributional data: A review.Ecography. 2007;30:609-628.
20. Duncan RP,Cassey P,Blackburn TM.Do climate envelope models transfer? A manipulative test using dung beetle introductions.Proceedings of the Royal Society B: Biological Sciences. 2009;276 (1661): 1449.
21. Eiserhardt WL,Bjorholm S,Svenning J-C, et al.Testing the water-energy theory on American palms (Arecaceae) using geographically weighted regression.PLoS ONE. 2011;6 (11): e27027.
22. Elith J,Leathwick J.Species distribution models: Ecological explanation and prediction across space and time.Annual Review of Ecology, Evolution, and Systematics. 2009;40:677-697.
23. Elith J,Graham C,Anderson R,Group NW.Novel methods improve prediction of species' distributions from occurrence data.Ecography. 2006;29 (2): 129-151.
24. Feeley KJ,Silman MR.Keep collecting: Accurate species distribution modelling requires more collections than previously thought.Diversity and Distributions. 2011;17 (6): 1132-1140.
25. Ferrer-Castán D,Vetaas OR.Pteridophyte richness, climate and topography in the Iberian Peninsula: Comparing spatial and nonspatial models of richness patterns.Global Ecology and Biogeography. 2005;14 (2): 155-165.
26. Ferrier S,Guisan A.Spatial modelling of biodiversity at the community level.Journal of Applied Ecology. 2006;43 (3): 393-404.
27. Finley AO.Comparing spatially-varying coefficients models for analysis of ecological data with non-stationary and anisotropic residual dependence.Methods in Ecology and Evolution. 2011;2 (2): 143-154.
28. Foody GM.Spatial nonstationarity and scale-dependency in the relationship between species richness and environmental determinants for the sub-Saharan endemic avifauna.Global Ecology and Biogeography. 2004;13:315-320.
29. Foody GM.GIS: Biodiversity applications.Progress in Physical Geography. 2008;32 (2): 223-235.
30. Fortin MJ,Dale MSpatial Analysis: A Guide for Ecologists. Cambridge: Cambridge University Press; 2005:.
31. Fortin MJ,Dale MR.Spatial autocorrelation in ecological studies: A legacy of solutions and myths.Geographical Analysis. 2009;41 (4): 392-397.
32. Fotheringham AS.'The problem of spatial autocorrelation' and local spatial statistics.Geographical Analysis. 2009;41 (4): 398-403.
33. Fotheringham AS,Brunsdon C,Charlton MGeographically Weighted Regression: The Analysis of Spatially Varying Relationships. Chichester: Wiley; 2002:.
34. Franklin J.Predictive vegetation mapping: Geographic modeling of biospatial patterns in relation to environmental gradients.Progress in Physical Geography. 1995;19:474-499.
35. Franklin JMapping Species Distributions: Spatial Inference and Prediction. Cambridge: Cambridge University Press; 2009:.
36. Franklin J,Miller JMapping Species Distribution: Spatial Inference and Prediction. Franklin J, ed. Cambridge: Cambridge University Press; 2009:113-153.
37. Gao J,Li S.Detecting spatially non-stationary and scale-dependent relationships between urban landscape fragmentation and related factors using geographically weighted regression.Applied Geography. 2011;31 (1): 292-302.
38. Getis A.A history of the concept of spatial autocorrelation: A geographer's perspective.Geographical Analysis. 2008;40 (3): 297-309.
39. Griffith DA.Spatial-filtering-based contributions to a critique of geographically weighted regression (GWR).Environment and Planning A. 2008;40:2751-2769.
40. Guisan A,Zimmermann N.Predictive habitat distribution models in ecology.Ecological Modelling. 2000;135:147-186.
41. Hanspach J,Kühn I,Schweiger O, et al.Geographical patterns in prediction errors of species distribution models.Global Ecology and Biogeography. 2011;20 (5): 779-788.
42. Harris P,Fotheringham AS,Crespo R,Charlton M.The use of geographically weighted regression for spatial prediction: An evaluation of models using simulated data sets.Mathematical Geosciences. 2010;42 (6): 657-680.
43. Hawkins B,Diniz-Filho J,Bini L, et al.Red herrings revisited: Spatial autocorrelation and parameter estimation in geographical ecology.Ecography. 2007;30:375-384.
44. Heikkinen R,Luoto M,Araújo M, et al.Methods and uncertainties in bioclimatic envelope modelling under climate change.Progress in Physical Geography. 2006;30 (6): 751-777.
45. Henden JA,Ims RA,Yoccoz NG.Nonstationary spatio-temporal small rodent dynamics: Evidence from long-term Norwegian fox bounty data.Journal of Animal Ecology. 2009;78 (3): 636-645.
46. Hirzel A,Le Lay G.Habitat suitability modeling and niche theory.Journal of Applied Ecology. 2008;45:1372-1381.
47. Hothorn T,Müller J,Schröder B, et al.Decomposing environmental, spatial, and spatiotemporal components of species distributions.Ecological Monographs. 2011;81 (2): 329-347.
48. Jetz W,Rahbek C,Lichstein JW.Local and global approaches to spatial data analysis in ecology.Global Ecology and Biogeography. 2005;14:97-98.
49. Kent M.Biogeography and macroecology: Now a significant component of physical geography.Progress in Physical Geography. 2007;31 (6): 643-657.
50. Kissling WD,Carl G.Spatial autocorrelation and the selection of simultaneous autoregressive models.Global Ecology and Biogeography. 2008;17:59-71.
51. Kühn I.Incorporating spatial autocorrelation may invert observed patterns.Diversity and Distributions. 2007;13:66-69.
52. Kupfer J,Farris C.Incorporating spatial non-stationarity of regression coefficients into predictive vegetation models.Landscape Ecology. 2007;22:837-852.
53. Legendre P.Spatial autocorrelation: Trouble or new paradigm?.Ecology. 1993;74 (6): 1659.
54. Lennon JJ.Red-shifts and red herrings in geographical ecology.Ecography. 2000;23 (1): 101-113.
55. Lobo JM,Jiménez-Valverde A,Hortal J.The uncertain nature of absences and their importance in species distribution modeling.Ecography. 2010;33 (1): 103-114.
56. Lozier JD,Aniello P,Hickerson MJ.Predicting the distribution of Sasquatch in western North America: Anything goes with ecological niche modelling.Journal of Biogeography. 2009;36 (9): 1623-1627.
57. McAlpine C,Rhodes R,Bowen M, et al.Can multiscale models of species' distribution be generalized from region to region? A case study of the koala.Journal of Applied Ecology. 2008;45:558-567.
58. McPherson J,Jetz W.Type and spatial structure of distribution data and the perceived determinants of geographical gradients in ecology: The species richness of African birds.Global Ecology and Biogeography. 2007;16:657-667.
59. Martín-Queller E,Gil-Tena A,Saura S.Species richness of woody plants in the landscapes of Central Spain: The role of management disturbances, environment and non-stationarity.Journal of Vegetation Science. 2011;22 (2): 238-250.
60. Miller J.Species distribution modeling.Geography Compass. 2010;4 (6): 490-509.
61. Miller J,Hanham RQ.Spatial nonstationarity and the scale of species-environment relationships in the Mojave Desert, California, USA.International Journal of Geographical Information Science. 2011;25 (3): 423-438.
62. Miller J,Franklin J,Aspinall R.Incorporating spatial dependence in predictive vegetation models.Ecological Modelling. 2007;202:225-242.
63. Osborne P,Suárez-Seoane S.Should data be partitioned spatially before building large scale distribution models?.Ecological Modelling. 2002;157:249-259.
64. Osborne P,Foody G,Suárez-Seoane S.Non-stationarity and local approaches to modelling the distribution of wildlife.Diversity and Distributions. 2007;13:313-323.
65. Peel MC,Blöschl G.Hydrological modeling in a changing world.Progress in Physical Geography. 2011;35 (2): 249.
66. Peterson AT.Ecological niche modeling and spatial patterns of disease transmission.Emerging Infectious Diseases. 2006;12 (12): 1822-1826.
67. Piorecky MD,Prescott DRC.Multiple spatial scale logistic and autologistic habitat selection models for northern pygmy owls, along the eastern slopes of Alberta's Rocky Mountains.Biological Conservation. 2006;129 (3): 360-371.
68. Powney GD,Grenyer R,Orme CDL, et al.Hot, dry and different: Australian lizard richness is unlike that of mammals, amphibians and birds.Global Ecology and Biogeography. 2010;19 (3): 386-396.
69. Pyke GH,Ehrlich PR.Biological collections and ecological/environmental research: A review, some observations and a look to the future.Biological Reviews. 2010;85 (2): 247-266.
70. Rahbek C,Graves G.Multiscale assessment of patterns of avian species richness.Proceedings of the National Academy of Sciences. 2001;98 (8): 4534-4539.
71. Rangel TF,Diniz-Filho JAF,Bini LM.SAM: A comprehensive application for spatial analysis in macroecology.Ecography. 2010;33 (1): 46-50.
72. Richardson D,Thuiller W.Home away from home - objective mapping of high-risk source areas for plant introductions.Diversity and Distributions. 2007;13:299-312.
73. Sá ACL,Pereira JMC,Charlton ME.The pyrogeography of sub-Saharan Africa: A study of the spatial non-stationarity of fire-environment relationships using GWR.Journal of Geographical Systems. 2010;13 (3): 227-248.
74. Sandel B,Smith AB.Scale as a lurking factor: Incorporating scale-dependence in experimental ecology.Oikos. 2009;118 (9): 1284-1291.
75. Segurado P,Araújo M,Kunin W.Consequences of spatial autocorrelation for niche-based models.Journal of Applied Ecology. 2006;43:433-444.
76. Simpson E.The interpretation of interaction in contingency tables.Journal of the Royal Statistical Society. 1951;B13:238-241.
77. Smulders M,Nelson TA,Jelinski DE, et al.A spatially explicit method for evaluating accuracy of species distribution models.Diversity and Distributions. 2010;16 (6): 996-1008.
78. Stockwell DNiche Modeling: Predictions from Statistical Distributions. Boca Raton, FL: Chapman and Hall/CRC; 2006:.
79. Su S,Xiao R,Zhang Y.Multi-scale analysis of spatially varying relationships between agricultural landscape patterns and urbanization using geographically weighted regression.Applied Geography. 2012;32 (2): 360-375.
80. Syphard AD,Radeloff VC,Keuler NS, et al.Predicting spatial patterns of fire on a southern California landscape.International Journal of Wildland Fire. 2008;17 (5): 602-613.
81. Tobler WR.A computer movie simulating urban growth in the Detroit region.Economic Geography. 1970;46:234-240.
82. Tognelli MF,Kelt DA.Analysis of determinants of mammalian species richness in South America using spatial autoregressive models.Ecography. 2004;27 (4): 427-436.
83. Wheeler DC.Diagnostic tools and a remedial method for collinearity in geographically weighted regression.Environment and Planning A. 2007;39 (10): 2464-2481.
84. Wheeler DC,Calder CA.An assessment of coefficient accuracy in linear regression models with spatially varying coefficients.Journal of Geographical Systems. 2007;9 (2): 145-166.
85. Willis K,Whittaker R.Species diversity - scale matters.Science. 2002;295:1245-1248.
86. Zanini F,Pellet J,Schmidt BR.The transferability of distribution models across regions: An amphibian case study.Diversity and Distributions. 2009;15 (3): 469-480.
87. Zhang L,Gove JH,Heath LS.Spatial residual analysis of six modeling techniques.Ecological Modelling. 2005;186 (2): 154-177.
88. Zimmermann NE,Edwards TC,Graham CH, et al.New trends in species distribution modelling.Ecography. 2010;33 (6): 985-989.