Analysis of determinants of mammalian species richness in South America using spatial autoregressive models

Ecography

Volumn 27, Issue 4, 2004, Pages 427-436

  Tognelli, Marcelo F ^a,b   Kelt, Douglas A ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b PONTIFICIA UNIVERSIDAD CATÓLICA DE CHILE   (Chile)

Author keywords

[No Author keywords available]

Indexed keywords

BIODIVERSITY; MAMMAL; MODELING; SPECIES RICHNESS;

SOUTH AMERICA;

MAMMALIA; VERTEBRATA;

EID: 3042576691     PISSN: 09067590     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0906-7590.2004.03732.x     Document Type: Article

References (53)

1. Adams, J. M. and Woodward, F. I. 1989. Patterns in tree species richness as a test of the glacial extinction hypothesis. - Nature 339: 699-701.
2. Ahn, C. H. and Tateishi, T. 1994. Development of a global 30-minute grid potential evapotranspiration data set. - J. Jap. Soc. Photogram. Rem. Sens. 33: 12-21.
3. Badgley, C. and Fox, D. L. 2000. Ecological biogeography of North American mammals: species density and ecological structure in relation to environmental gradients. - J. Biogeogr. 27: 1437-1467.
4. 2 flux. - Vegetatio 80: 71-89.
5. Brown, J. H. and Lomolino, M. V. 1998. Biogeography. - Sinauer.
6. Böhning-Gaese, K. 1997. Determinants of avian species richness at different spatial scales. -J. Biogeogr. 24: 49-60.
7. Cliff, A. D. and Ord, J. K. 1981. Spatial processes: models and applications. - Pion.
8. Cressie, N. A. C. 1993. Statistics for spatial data. - Wiley.
9. Curran, P. J. 1982. Multispectral photographic remote-sensing of green vegetation biomass and productivity. - Photogram. Eng. Rem. Sens. 48: 243-250.
10. Currie, D. J. 1991. Energy and large-scale patterns of animal-species and plant-species richness. - Am. Nat. 137: 27-49.
11. Currie, D. J. and Paquin, V. 1987. Large-scale biogeographical patterns of species richness of trees. - Nature 329: 326-327.
12. Ding, T.-S. 2001. Species diversity at different spatial scales: birds in Yushan, Taiwan, and East Asia. - Ph.D. thesis, Univ. of California Davis.
13. Diniz-Filho, J. A. F., Bini, L. M. and Hawkins, B. A. 2003. Spatial autocorrelation and red herrings in geographical ecology. - Glob. Ecol. Biogeogr. 12: 53-64.
14. Fjeldså, J. and Rahbek, C. 1998. Continent-wide conservation priorities and diversification processes. - In: Mace, G. M., Balmford, A. and Ginsberg, J. R. (eds). Conservation in a changing world. Cambridge Univ. Press, pp. 139-160.
15. Gaston, K. J. 2000. Global patterns in biodiversity. - Nature 405: 220-227.
16. Gaston, K. J. and Blackburn, T. M. 2000. Pattern and process in macroecology. - Blackwell.
17. Goward, S. N., Tucker, C. J. and Dye, D. G. 1985. North American vegetation patterns observed with the NOAA-7 advanced very high-resolution radiometer. - Vegetatio 64: 3-14.
18. Griffith, D. A. et al. 1999. A casebook for spatial statistical data analysis: a compilation of analyses of different thematic data sets. - Oxford Univ. Press.
19. Haining, R. P. 1990. Spatial data analysis in the social and environmental sciences. - Cambridge Univ. Press.
20. Hawkins, B. A., Porter, E. E. and Diniz, J. A. F. 2003. Productivity and history as predictors of the latitudinal diversity gradient of terrestrial birds. - Ecology 84: 1608-1623.
21. Hilborn, R. and Mangel, M. 1997. The ecological detective: confronting models with data. - Princeton Univ. Press.
22. Holben, B. N. 1986. Characteristics of maximum-value composite images from temporal AVHRR data. - Int. J. Rem. Sens. 7: 1417-1434.
23. Kaluzny, S. P. et al. 1998. S + SpatialStats: user's manual for Windows and UNIX. - Springer.
24. Keitt, T. H. et al. 2002. Accounting for spatial pattern when modeling organism-environment interactions. - Ecography 25: 616-625.
25. Kerr, J. T. 2001. Butterfly species richness patterns in Canada: energy, heterogeneity, and the potential consequences of climate change. - Conserv. Ecol. 5: 10.
26. Kerr, J. T. and Packer. L. 1997. Habitat heterogeneity as a determinant of mammal species richness in high-energy regions. - Nature 385: 252-254.
27. Kerr, J. T., Southwood, T. R. E. and Cihlar, J. 2001. Remotely sensed habitat diversity predicts butterfly species richness and community similarity in Canada. - Proc. Natl. Acad. Sci. U.S.A. 98: 11365-11370.
28. Legendre, L. and Legendre, P. 1998. Numerical ecology. - Elsevier.
29. Legendre, P. 1993. Spatial autocorrelation: trouble or new paradigm. - Ecology 74: 1659-1673.
30. Legendre, P. et al. 2002. The consequences of spatial structure for the design and analysis of ecological field surveys. - Ecography 25: 601-615.
31. Lennon, J. J., Greenwood, J. J. D. and Turner, J. R. G. 2000. Bird diversity and environmental gradients in britain: a test of the species-energy hypothesis. - J. Anim. Ecol. 69: 581-598.
32. Lichstein, J. W. et al. 2002. Spatial autocorrelation and autoregressive models in ecology. - Ecol. Monogr. 72: 445-463.
33. MacArthur, R. H. 1972. Geographical ecology: patterns in the distribution of species. - Harper and Row.
34. Mares, M. A. and Ojeda, R. A. 1982. Patterns of diversity and adaptation in South American hystricognath rodents. - In: Mares, M. A. and Genoways, H. H. (eds), Mammalian biology in South America. Pymatuning Lab. Ecol., Univ. of Pittsburgh, pp. 393-432.
35. Nagelkerke, N. J. D. 1991. A note on a general definition of the coefficient of determination. - Biometrika 78: 691-692.
36. New, M., Hulme, M. and Jones, P. 1999. Representing twentieth-century space-time climate variability. Part I: development of a 1961-90 mean monthly terrestrial climatology. - J. Clim. 12: 829-856.
37. Pagel, M. D., May, R. M. and Collie, A. R. 1991. Ecological aspects of the geographical distribution and diversity of mammalian species. - Am. Nat. 137: 791-815.
38. Pianka, E. R. 1966. Latitudinal gradients in species diversity: a review of the concepts. - Am. Nat. 100: 33-46.
39. Rahbek, C. and Graves, G. R. 2000. Detection of macroecological patterns in South American hummingbirds is affected by spatial scale. - Proc. Roy. Soc. Lond. B. 267: 2259-2265.
40. Rahbek, C. and Graves, G. R. 2001. Multiscale assessment of patterns of avian species richness. - Proc. Natl. Acad. Sci. U.S.A. 98: 4534-4539.
41. Rohde, K. 1992. Latitudinal gradients in species diversity: the search for the primary cause. - Oikos 65: 514-527.
42. Rosenzweig, M. L. 1995. Species diversity in space and time. - Cambridge Univ. Press.
43. Ruggiero, A. 1994. Latitudinal correlates of the sizes of mammalian geographical ranges in South America. - J. Biogeogr. 21: 545-559.
44. Ruggiero, A. 1999. Spatial patterns in the diversity of mammal species: a test of the geographic area hypothesis in South America. - Ecoscience 6: 338-354.
45. Rylands, A. B., Rodriguez-Luna, E. and Cortes-Ortiz, L. 1997. Neotropical primate conservation. The species and the IUCN/SSC Primate Specialist Group Network. - Primate Conserv. 17: 46-69.
46. Sokal, R. R. and Rohlf, F. J. 1981. Biometry: the principles and practice of statistics in biological research. - W. H. Freeman.
47. Upton, G. J. G. and Fingleton, B. 1985. Spatial data analysis by example. - Wiley.
48. Ustin, S. L. et al. 1991. Opportunities for using the EOS imaging spectrometers and synthetic aperture radar in ecological models. - Ecology 72: 1934-1945.
49. Whittaker, R. J., Willis, K. J. and Field, R. 2001. Scale and species richness: towards a general, hierarchical theory of species diversity. - J. Biogeogr. 28: 453-470.
50. Willig, M. R. and Selcer, K. W. 1989. Bat species density gradients in the New World: a statistical assessment. - J. Biogeogr. 16: 189-195.
51. Willis, K. J. and Whittaker, R. J. 2002. Ecology: species diversity: scale matters. - Science 295: 1245-1248.
52. Wilson, D. E. and Reeder, D. M. 1993. Mammal species of the world: a taxonomic and geographic reference. - Smithsonian Inst. Press.
53. Wright, D. H. 1983. Species-energy theory: an extension of species-area theory. - Oikos 41: 496-506.