Scaling of species distribution models across spatial resolutions and extents along a biogeographic gradient. The case of the Iberian mole Talpa occidentalis

Ecography

Volumn 37, Issue 3, 2014, Pages 279-292

  Suárez Seoane, Susana ^a   Virgós, Emilio ^b   Terroba, Olga ^b   Pardavila, Xosé ^b   Barea Azcón, Jose M ^b  

^a UNIVERSITY OF LEÓN   (Spain)

^b UNIVERSIDAD REY JUAN CARLOS   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BIOGEOGRAPHY; GEOGRAPHICAL DISTRIBUTION; HABITAT AVAILABILITY; MAMMAL; NICHE; SPATIAL RESOLUTION;

ANDALUCIA; GALICIA [SPAIN]; GRANADA [ANDALUCIA]; GRANADA [GRANADA (PRV)]; MADRID [SPAIN]; SPAIN;

INSECTIVORA; TALPA OCCIDENTALIS;

EID: 84896710173     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/j.1600-0587.2013.00077.x     Document Type: Article

References (123)

1. Araújo M. and Guisan A. 2006. Five (or so) challenges for species distribution modelling. J. Biogeogr. 33: 1677-1688.
2. Araújo M. B. et al. 2005. Downscaling European species atlas distributions to a finer resolution: implications for conservation planning. Global Ecol. Biogeogr. 14: 17-30.
3. Austin M. P. 2002. Spatial prediction of species distribution: an interface between ecological theory and statistical modelling. Ecol. Model. 157: 101-118.
4. Austin M. P. 2007. Species distribution models and ecological theory: a critical assessment and some possible new approaches. Ecol. Model. 200: 1-19.
5. Barbosa A. M. et al. 2009. Transferability of environmental favourability models in geographic space: the case of the Iberian desman (Galemys pyrenaicus) in Portugal and Spain. Ecol. Model. 220: 747-754.
6. Basille M. et al. 2008. Assessing habitat selection using multivariate statistics: some refinements of the ecological-niche factors analysis. Ecol. Model. 211: 233-240.
7. Beck J. B. and Shultz E. K. 1986. The use of relative operating characteristic (ROC) curves in test performance evaluation. Arch. Pathol. Lab. Med. 110: 13-20.
8. Boyce M. S. 2006. Scale for resource selection functions. Divers. Distrib. 12: 269-276.
9. Boyce M. S. et al. 2002. Evaluating resource selection functions. Ecol. Model. 157: 281-300.
10. Braunisch V. and Suchant R. 2010. Predicting species distributions based on incomplete survey data: the trade-off between precision and scale. Ecography 33: 826-840.
11. Braunisch V. et al. 2008. Living on the edge-modelling habitat suitability for species at the edge of their fundamental niche. Ecol. Model. 214: 153-167.
12. Brotons L. et al. 2004. Presence-absence versus presence-only modelling methods for predicting bird habitat suitability. Ecography 27: 437-448.
13. Brown J. H. 1984. On the relationship between distribution and abundance of species. Am. Nat. 124: 255-279.
14. Brown J. H. et al. 1995. Spatial variation in abundance. Ecology 76: 2028-2043.
15. Brown J. H. et al. 2000. Assembly rules: desert rodent communities are structured at scales from local to continental. Am. Nat. 156: 314-321.
16. Bugmann H. et al. 2000. Scaling issues in forest succession modelling. Clim. Change 44: 265-289.
17. CAM 1998. Plan regional de estrategia territorial de la comunidad de Madrid. - Dirección General de Urbanismo y Planificación Territorial.
18. Case T. J. et al. 2005. The community context of species' borders: ecological and evolutionary perspectives. Oikos 108: 28-46.
19. Chase J. M. and Liebold M. A. 2003. Ecological niches: linking classical and contemporary approaches. - Univ. of Chicago Press.
20. Chefaoui R. M. and Lobo J. M. 2008. Assessing the effects of pseudo-absences on predictive distribution model performance. Ecol. Model. 210: 478-486.
21. Costa G. C. et al. 2008. Detecting the influence of climatic variables on species distributions: a test using GIS niche-based models along a steep longitudinal environmental gradient. J. Biogeogr. 35: 637-646.
22. Edwards G. R. et al. 1999. Factors influencing molehill distribution in grassland: implications for controlling the damage caused by molehills. J. Appl. Ecol. 36: 434-442.
23. Edwards T. C. Jr et al. 2006. Effects of sample survey design on the accuracy of classification models in ecology. Ecol. Model. 199: 132-141.
24. Elith J. and Leathwick J. R. 2009. Species distribution models: ecological explanation and prediction across space and time. Annu. Rev. Ecol. Evol. Syst. 40: 677-697.
25. Elith J. et al. 2006. Novel methods improve prediction of species' distributions from occurrence data. Ecography 29: 129-151.
26. Elith J. et al. 2010. A statistical explanation of MaxEnt for ecologists. Divers. Distrib. 17: 43-57.
27. Emberger L. 1955. Afrique du Nord-Ouest. - In: UNESCO (ed.), Plant ecology: reviews of research. UNESCO, pp. 219-249.
28. Evangelista P. H. et al. 2008. Modelling invasion for a habitat generalist and a specialist plant species. Divers. Distrib. 14: 808-817.
29. Feeley K. J. and Silman M. R. 2010. Biotic attrition from tropical forests correcting for truncated temperature niches. Global Change Biol. 16: 1830-1836.
30. Fernandes M. and Herrero J. 2008. Talpa occidentalis. - IUCN Red List of Threatened Species, ver. 2010.4, .
31. Fielding A. H. and Bell J. F. 1997. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ. Conserv. 24: 38-49.
32. Franklin J. and Miller J. A. 2009. Mapping species distributions. Spatial inference and prediction. - Cambridge Univ. Press.
33. Funmilayo O. 1977. Distribution and abundance of moles (Talpa europaea L.) in relation to physical habitat and food supply. Oecologia 30: 277-283.
34. Funmilayo O. 1979. Food consumption, preferences, and storage in the mole. Acta Theriol. 25: 379-389.
35. García-López de Hierro L. et al. 2013. Positive and negative unintended human induced effects on Iberian mole abundance at the edge of its distribution area. Mamm. Biol. 78: 276-282.
36. Glen A. S. and Dickman C. R. 2005. Complex interactions among mammalian carnivores in Australia, and their implications for wildlife management. Biol. Rev. 80: 387-401.
37. Gottschalk T. K. et al. 2011. Influence of grain size on species-habitat models. Ecol. Model. 222: 3403-3412.
38. Goward S. N. et al. 1994. Ecological remote sensing at OTTER: satellite macroscale observations. Ecol. Appl. 4: 322-343.
39. Guisan A. and Zimmermann N. E. 2000. Predictive habitat distribution models in ecology. Ecol. Model. 135: 147-186.
40. Guisan A. and Thuiller W. 2005. Predicting species distribution: offering more than simple habitat models? Ecol. Lett. 8: 993-1009.
41. Hernández P. A. et al. 2006. The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 29: 773-785.
42. Heymann Y. et al. 1994. CORINE Land Cover. Technical guide. - EUR12585 Luxembourg, Office for Official Publications of the European Communities.
43. Hijmans R. J. et al. 2005. Very high resolution interpolated climate surfaces for global land areas. Int. J. Climatol. 25: 1965-1978.
44. Hirzel A. H. and Le Lay G. 2008. Habitat suitability modelling and niche theory. J. Appl. Ecol. 45: 1372-1381.
45. Hirzel A. H. et al. 2002. Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data? Ecology 83: 2027-36.
46. Hirzel A. H. et al. 2006. Evaluating the ability of habitat suitability models to predict species presences. Ecol. Model. 199: 142-152.
47. Hirzel A. H. et al. 2007. Biomapper 4.0. - Laboratory for Conservation Biology, Dept of Ecology and Evolution, Univ. of Lausanne, Switzerland, .
48. Hoffman A. A. and Blows M. W. 1994. Species borders: ecological and evolutionary perspectives. Trends Ecol. Evol. 9: 223-227.
49. Holt R. D. and Keitt T. H. 2000. Alternative causes for range limits: a metapopulation perspective. Ecol. Lett. 3: 41-47.
50. Jiménez R. et al. 1990. The reproductive cycle of Talpa occidentalis in the southeastern Iberian Peninsula. Acta Theriol. 35: 165-169.
51. Kearney M. 2006. Habitat, environment and niche: what are we modelling? Oikos 115: 186-191.
52. Keil P. et al. 2013. Downscaling of species distribution models: a hierarchical approach. Methods Ecol. Evol. 4: 82-94.
53. King A. W. 1991. Translating models across scales in the landscape. Ecol. Stud. 82: 479-517.
54. Kissling W. D. et al. 2012. Towards novel approaches to modelling biotic interactions in multispecies assemblages at large spatial extents. J. Biogeogr. 39: 2163-2178.
55. Kryštufek B. 1999. Talpa europaea. - In: Mitchell-Jones A. J. et al. (eds), The atlas of European mammals. Academic Press, pp. 82-83.
56. Lara-Romero C. et al. 2012. Habitat selection by European badgers in Mediterranean semi-arid ecosystems. J. Arid Environ. 76: 43-48.
57. Legendre P. and Legendre L. 2012. Numerical ecology. - Elsevier.
58. Lischke H. et al. 2007. Model up-scaling in landscape research. - In: Kienast F. et al. (eds), A changing World. Springer, pp. 249-272.
59. Loy A. 1999. Talpa occidentalis. In: Mitchell-Jones A. J. et al. (eds), The atlas of European mammals. Academic Press, pp. 80-81.
60. Luoto M. et al. 2007. The role of land cover in bioclimatic models depends on spatial resolution. Global Ecol. Biogeogr. 16: 34-42.
61. Macdonald D. W. et al. 1997. Spatial and temporal patterns in the activity of European moles. Oecologia 109: 88-97.
62. Marcer A. et al. 2012. Modelling invasive alien species distributions from digital biodiversity atlases. Model upscaling as a means of reconciling data at different scales. Divers. Distrib. 18: 1177-1189.
63. McPherson J. M and Jetz W. 2007. Effects of species' ecology on the accuracy of distribution models. Ecography 30: 135-151.
64. McPherson J. M. et al. 2006. Using coarse-grained occurrence data to predict species distributions at finer spatial resolutions-possibilities and limitations. Ecol. Model. 192: 499-522.
65. Mead-Briggs A. R. and Woods J. A. 1973. An index of activity to assess the reduction in mole numbers caused by control measures. J. Appl. Ecol. 10: 837-845.
66. Meier E. S. et al. 2011. Co-occurrence patterns of trees along macroclimatic gradients and their potential influence on the present and future distribution of Fagus sylvatica L. J. Biogeogr. 38: 371-382.
67. Melbourne B. A. and Chesson P. 2005. Scaling up population dynamics: integrating theory and data. Oecologia 145: 178-186.
68. Menge B. A. and Sutherland J. P. 1987. Community regulation: variation in disturbance, competition, and predation in relation to environmental stress and recruitment. Am. Nat. 130: 730-757.
69. Menke S. B. et al. 2009. Characterizing and predicting species distributions across environments and scales: Argentine ant occurrences in the eye of the beholder. Global Ecol. Biogeogr. 18: 50-63.
70. Morin X. and Lechowicz M. J. 2008. Contemporary perspectives on the niche that can improve models of species range shifts under climate change. Biol. Lett. 4: 573-576.
71. Mueller P. and Diamond J. 2001. Metabolic rate and environmental productivity: well-provisioned animals evolved to run and idle fast. Proc. Natl Acad. Sci. USA 98: 12550-12554.
72. Niethammer J. 1990. Talpa occidentalis- Spanischer Maulwurf. - In: Niethammer J. and Krapp F. (eds), Handbuch der Säugetiere Europas, Band 3/I, Insectivora, Primates. Aula Verlag, pp. 157-161.
73. Normand S. et al. 2009. Importance of abiotic stress as a range-limit determinant for European plants: insights from species responses to climatic gradients. Global Ecol. Biogeogr. 18: 437-449.
74. Osborne P. E. and Suárez-Seoane S. 2002. Should data be partitioned spatially before building large scale distribution models? Ecol. Model. 157: 249-259.
75. Osborne P. E. et al. 2001. Modelling landscape-scale habitat use using GIS and remote sensing: a case study with great bustards. J. Appl. Ecol. 38: 458-471.
76. Osborne P. E. et al. 2007. Non-stationarity and local approaches to modelling the distributions of wildlife. Divers. Distrib. 13: 313-323.
77. Paruelo J. M. et al. 1997. ANPP estimates from NDVI for the Central Grassland Region of the United States. Ecology 78: 953-958.
78. Pearson R. G. and Dawson T. P. 2003. Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Global Ecol. Biogeogr. 12: 361-371.
79. Peterson A. T. 2006. Uses and requirements of ecological niche models and related distributional models. Biodivers. Inform. 3: 59-72.
80. Pettorelli N. et al. 2005. Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends Ecol. Evol. 20: 503-510.
81. Pettorelli N. et al. 2006. Using a proxy of plant productivity (NDVI) to find key periods for animal performance: the case of roe deer. Oikos 112: 565-572.
82. Pettorelli N. et al. 2011. The normalized difference vegetation index (NDVI): unforeseen successes in animal ecology. Clim. Res. 46: 15-27.
83. Phillips S. J. and Dudík M. 2008. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography 31: 161-175.
84. Phillips S. J. et al. 2006. Maximum entropy modeling of species geographic distributions. Ecol. Model. 190: 231-259.
85. Pulliam H. R. 2000. On the relationship between niche and distribution. Ecol. Lett. 3: 349-361.
86. Randin C. F. et al. 2006. Are niche-based species distribution models transferable in space? J. Biogeogr. 33: 1689-1703.
87. Rezende E. L. et al. 2004. Climatic adaptation and the evolution of basal and maximum rates of metabolism in rodents. Evolution 58: 1361-1374.
88. Rivas-Martínez S. et al. 2004. Bioclimatic map of Europe (thermoclimatic belts). - Univ. de León, Secretariado de Publicaciones.
89. Román J. 2007a. Talpa occidentalis. - In: Palomo L. J. et al. (eds), Atlas y libro rojo de los mamíferos terrestres de España. SECEM, pp. 89-91.
90. Román J. 2007b. Talpa europaea. - In: Palomo L. J. et al. (eds), Atlas y libro rojo de los mamíferos terrestres de España. SECEM, pp. 86-88.
91. Root T. 1988. Environmental factors associated with avian distributional boundaries. J. Biogeogr. 15: 489-505.
92. Rouse J. W. et al. 1973. Monitoring vegetation systems in the great plains with ERTS. - Proc. of the 3rd ERTS Symp. 1, NASA SP-351: 309-317.
93. Rushton S. P. et al. 2004. New paradigms for modelling species distributions? J. Appl. Ecol. 41: 193-200.
94. Scott J. M. et al. 2002. Predicting species occurrences: issues of accuracy and scale. - Island Press.
95. Seo C. et al. 2009. Scale effects in species distribution models: implications for conservation planning under climate change. Biol. Lett. 5: 39-43.
96. SINAMBA 1999. Sistema de Información Ambiental. - Junta de Andalucía.
97. SITGA 1998. Sistema de Información Territorial de Galicia. - Xunta de Galicia.
98. Soberon J. 2007. Grinellian and eltonian niches and geographic distributions of species. Ecol. Lett. 10: 1115-1123.
99. Soberón J. M. 2010. Niche and area of distribution modeling: a population ecology perspective. Ecography 33: 159-167.
100. Suárez-Seoane S. and Baudry J. 2002. Scale dependence of spatial patterns and cartography on the detection of landscape change: relationships with species' perception. Ecography 25: 499-511.
101. Suárez-Seoane S. et al. 2002. Large-scale habitat selection by agricultural steppe birds in Spain: identifying species-habitat responses using generalised additive models. J. Appl. Ecol. 39: 755-771.
102. Suárez-Seoane S. et al. 2004. Can climate data from METEOSAT improve wildlife distribution models? Ecography 27: 629-636.
103. Suárez-Seoane S. et al. 2008. Maximum entropy niche-based modelling of seasonal changes in little bustard distribution. Ecol. Model. 219: 17-29.
104. Tabachnick B. and Fidell L. 1996. Using multivariate statistics, 3rd ed. - Collins.
105. Thuiller W. et al. 2004. Effects of restricting environmental range of data to project current and future species distributions. Ecography 27: 165-172.
106. Thuiller W. et al. 2005. Niche-based modeling as a tool for predicting the risk of alien plant invasions at a global scale. Global Change Biol. 11: 2234-2250.
107. Trivedi M. R. et al. 2008. Spatial scale affects bioclimate model projections of climate change impacts on mountain plants. Global Change Biol. 14: 1089-1103.
108. Tuanmu M. N. et al. 2011. Temporal transferability of wildlife habitat models: implications for habitat monitoring. J. Biogeogr. 38: 1510-1523.
109. Van Houwelingen J. C. and Le Cessie S. 1990. Predictive value of statistical models. Stat. Med. 11: 1303-1325.
110. Veloz S. D. et al. 2012. No-analog climates and shifting realized niches during the late quaternary: implications for 21st-century predictions by species distribution models. Global Change Biol. 18: 1698-1713.
111. Verbyla D. and Litvaitis J. A. 1989. Resampling methods for evaluating classification accuracy of wildlife habitat models. Environ. Manage. 13: 783-787.
112. Virgós E. and Tellería J. L. 1998. Roe deer habitat selection in Spain: constraints on the distribution of a species. Can. J. Zool. 76: 1294-1299.
113. Virgós E. and Casanovas J. G. 1999. Environmental constraints at the edge of a species distribution, the Eurasian badger (Meles meles): a biogeographic approach. J. Biogeogr. 26: 559-564.
114. Virgós E. et al. 2004. Food habits of European badgers (Meles meles) along an altitudinal gradient of Mediterranean environments: a field test of the earthworm specialization hypothesis. Can. J. Zool. 82: 41-51.
115. Wiegand T. et al. 2008. Animal habitat quality and ecosystem functioning: exploring seasonal patterns using NDVI. Ecol. Monogr. 78: 87-103.
116. Wiens J. A. 1989. Spatial scaling in ecology. Funct. Ecol. 3: 385-397.
117. Wiens J. A. 1995. Landscape mosaics and ecological theory. - In: Hansson L. et al. (eds), Mosaic landscapes and ecological processes. Chapman and Hall, pp. 1-26.
118. Wiens J. A. et al. 1987. Habitat occupancy patterns of North American shrubsteppe birds: the effects of spatial scale. Oikos 48: 132-147.
119. Wiens J. A. et al. 2009. Niches, models, and climate change: assessing the assumptions and uncertainties. Proc. Natl Acad. Sci. USA 6: 19729-19736.
120. Wisz M. S. et al. 2008. Effects of sample size on the performance of species distribution models. Divers. Distrib. 14: 763-773.
121. Wisz M. S. et al. 2013. The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling. Biol. Rev. 88: 15-30.
122. Wu J. 2004. Effects of changing scale on landscape pattern analysis: scaling relations. Landscape Ecol. 19: 125-138.
123. Zweig M. H. and Campbell G. 1993. Receiver-operating characteristics (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin. Chem. 39: 561-577.