The influence of spatial scale on cross-taxon congruence patterns and prediction accuracy of species richness

Journal of Biogeography

Volumn 26, Issue 5, 1999, Pages 1079-1090

  Pearson, David L ^a   Carroll, Steven S ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Birds; Butterflies; Geostatistics; Scale; Spatial autocorrelations

Indexed keywords

AVIFAUNA; BUTTERFLY; SPATIAL VARIATION; SPECIES RICHNESS;

NORTH AMERICA;

EID: 0033451374     PISSN: 03050270     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1365-2699.1999.00337.x     Document Type: Article

References (70)

1. Addicott, J.F., Antoloin, J.M., Padilla, D.K., Richardson, J.S. & Soluk, D.A. (1987) Ecological neighborhoods: scaling environmental patterns. Oikos, 49, 340-346.
2. Amrhein, C.G. (1995) Searching for the elusive aggregation effect: Evidence from statistical simulations. Environ. Planning A, 27, 105-119.
3. Beccaloni, G.W. & Gaston, K.J. (1994) Predicting the species richness of Neotropical forest butterflies: Ithomiinae (Lepidoptera: Nymphalidae) as indicators. Biol. Conserv. 71, 77-86.
4. Blackburn, T.M. & Gaston, K.J. (1998) Some methodological issues in macroecology. Am. Nat. 151, 68-83.
5. Böhning-Gaesc, K. (1997) Determinants of avian species richness at different spatial scales. J. Biogeogr. 24, 49-60.
6. Carroll, S.S. & Pearson, D.L. (1998a) Spatial modeling of butterfly species diversity using tiger beetles (Cicindelidae) as a bioindicator taxon. Ecol. Applic. 8, 531-543.
7. Carroll, S.S. & Pearson, D.L. (1998b) The effects of scale and sample size on the accuracy of spatial predictions of tiger beetle (Cicindelidae) species richness. Ecography, 21, 401-414.
8. Conner, E.F. & Bowers, M.A. (1987) The spatial consequences of interspecific competition. Ann. Zool. Fenn. 24, 213-226.
9. Cooper, S.D., Barmuta, L., Sarnelle, O., Kratz, K. & Diehl, S. (1997) Quantifying spatial heterogeneity in streams. J. N. A. Benth. Soc. 16, 174-188.
10. Cornell, H.V. & Lawton, J.H. (1992) Species interactions, local and regional processes, and limits to the richness of ecological communities: a theoretical perspective. J. anim. Ecol. 61, 1-12.
11. Cressie, N. (1985) Fitting variogram models by weighted least squares. J. Int. Ass. Math. Geol. 17, 563-586.
12. Cressie, N. (1990) The origins of kriging. Math. Geol. 22, 239-252.
13. Cressie, N. (1991). Statistics for spatial data. John Wiley, New York.
14. Cressie, N. (1996) Change of support and the modifiable areal unit problem. Geog. Systems, 3, 159-180.
15. Cressie, N. & Hawkins, N.M. (1980) Robust estimation of the variogram, 1. J. Int. Ass. Math. Geol. 12, 115-125.
16. Cressie, N. & Reed, T.R.C. (1989) Spatial data analysis of regional counts. Biometr. J. 31, 699-719.
17. Curnutt, J., Lockwood, J., Luh, H.-K., Nott, P. & Russell, G. (1994) Hotspots and species diversity. Nature, 367, 326-527.
18. Currie, D.J. (1991) Energy and large-scale patterns of animal and plant-species richness. Am. Nat. 137, 27-49.
19. Draper, N. & Smith, H. (1981) Applied regression analysis. John Wiley, New York.
20. Flather, C.H., Wilson, K.R., Dean, D.J. & McComb, W.C. (1997) Identifying gaps in conservation networks: of indicators and uncertainty in geographic-based analyses. Ecol. Applic. 7, 531-542.
21. Fotheringham, A.S. & Wong, D.W.S. (1991) The modifiable areal unit problem in multivariate statistical analysis. Environ. Planning A, 23, 1025-1044.
22. Gardner, R.H., O'Neill, R.V., Turner, M.G. & Dale, V.H. (1989) Quantifying scale-dependent effects of animal movement with simple percolation models. Landscape Ecol. 3, 217-227.
23. Gaston, K.J. (1994) Biodiversity-measurement. Prog. Phys. Geog. 18, 565-574.
24. Gaston, K.J. & Blackburn, T.M. (1996) The tropics as a museum of biological diversity: an analysis of the New World avifauna. Proc. Roy. Soc. Lond. B, 263, 63-68.
25. Gotway, C.A. & Hartford, A.H. (1996) Geostatistical methods for incorporating auxiliary information in the prediction of spatial variables. J. Agric., Biol., Environ. Stat. 1, 17-39.
26. Haas, T.C. (1996) Multivariate spatial prediction in the presence of non-linear trend and covariance non-stationarity. Environmetrics, 7, 145-165.
27. Harte, J. & Kinzig, A.P. (1997) On the implications of species-area relationships for endemism, spatial turnover, and food web patterns. Oikos, 80, 417-427.
28. Haining, R. (1990) Spatial data analysis in the social and environmental sciences. Cambridge University Press, Cambridge.
29. Hawkins, D.M. & Cressie, N. (1984) Robust kriging - a proposal. J. Int. Ass. Math. Geol. 16, 3-18.
30. He, F., Legendre, P. & LaFrankie, J.V. (1996) Spatial pattern of diversity in a tropical rain forest in Malaysia. J. Biogeogr. 23, 57-74.
31. Holling, C.S. (1992) Cross-scale morphology, geometry, and dynamics of ecosystems. Ecol. Monogr. 62, 447-502.
32. Journel, A.G. & Huijbregts, C.H.J. (1978) Mining geostatistics. Academic Press, London.
33. Kaufman, D.M. (1995) Diversity of New World mammals: Universality of the latitudinal gradients of species and bauplans. J. Mammal. 76, 322-334.
34. Kemp, W.P., Kalaris, T.M. & Quimby, W.F. (1989) Rangeland grasshopper (Orthoptera: acrididae) spatial variability: macroscale population assessment. J. Econ. Entomol. 82, 1270-1276.
35. Koenig, W.D. (1998) Spatial autocorrelation in California land birds. Conserv. Biol. 12, 612-620.
36. Kremen, C. (1994) Biological inventory using target taxa: a case study of the butterflies of Madagascar. Ecol. Applic. 4, 407-422.
37. Kuliopulus, H. (1990) Amazonian biodiversity. Science, 248, 1305.
38. 2. Am. Statistician, 39, 279-285.
39. Lawton, J.H., Bignell, D.E., Bolton, B., Bloemers, G.F., Eggleton, P., Hammond, P.M., Hodda, M., Holt, R.D., Larsen, T.B., Mawdsley, N.A., Stork, N.E., Srivastava, D.S. & Watt, A.D. (1998) Biodiversity inventories, indicator taxa and effects of habitat modification in tropical forest. Nature, 391, 72-76.
40. Legendre, P. (1993) Spatial autocorrelation: Trouble or new paradigm? Ecology. 74, 1659-1673.
41. Matheron, G. (1963) Principles of geostatistics. Econ. Geol. 58, 1246-1266.
42. McLaughlin, S.P. (1992) Are floristic areas hierarchically arranged? J. Biogeogr. 19, 21-32.
43. Moreno Saiz, J.C., Castro Parga, I. & Sainz Ollero, H. (1998) Numerical analyses of distribution of Iberian and Balearic endemic monocotyledons. J. Biogeogr. 25, 179-194.
44. Myers, N. (1990) The biodiversity challenge: extended hot spot analysis. Environmentalist, 10, 243-256.
45. Myers, R. (1990) Classical and modern regression with applications. PWS-Kent, Boston.
46. Openshaw, S. & Taylor, P.J. (1979) A million or so correlation coefficients: three experiments on the modifiable areal unit problem. Statistical applications in the spatial sciences (ed. by N. Wrigley), pp. 127-144, Pion, London.
47. Palmer, M.W. & White, P.S. (1994) Scale dependence and the species-area relationship. Am. Nat. 144, 717-740.
48. Pearson, D.L. & Carroll, S.S. (1998) Global patterns of species richness: Spatial models for conservation planning using bioindicators and precipitation. Conserv. Biol. 12, 809-821.
49. Pearson, D.L. & Cassola, F. (1992) World-wide species richness patterns of tiger beetles (Coleoptera: Cicindelidae): Indicator taxon for biodiversity and conservation studies. Conserv. Biol. 6, 376-391.
50. Peterson, R.T. (1990) A field guide to western birds. Houghton Mifflin Company, Boston.
51. Prance, G.T. (1994) A comparison of the efficacy of higher taxa and species numbers in the assessment of biodiversity in the Neotropics. Phil. Trans. Roy. Soc. Lond. B, 345, 89-100.
52. Prendergast, J.R., Quinn, R.M., Lawton, J.H., Eversham, B.C. & Gibbons, D.W. (1993) Rare species, the coincidence of diversity hotspots and conservation strategies. Nature, 365, 335-337.
53. Rao, C.R. (1973) Linear statistical inference and its applications. John Wiley, New York.
54. Reed, R.A., Palmer, M.W., Peet, R.K. & White, P.S. (1993) Scale dependence of vegetation-environment correlations: a case study of a North Carolina piedmont woodland. J. Veg. Sci. 4, 329-340.
55. Reid, W.V. (1998) Biodiversity hotspots. Trends Ecol. Evol. 13, 275-279.
56. Ricketts, T.H., Dinerstein, E., Olson, E.M., Hedao, P., Carney, K., Walters, S., Loucks, C. & Hurley, P. (1996) A conservation assessment of terrestrial ecoregions of North America. World Wildlife Fund, Conservation Science Program, Washington, D.C.
57. Ricklefs, R.E. (1987) Community diversity: relative roles of local and regional processes. Science, 235, 161-171.
58. Ricklefs, R.E. & Schluter, D. (eds) (1993) Species diversity in ecological communities: historical and geographical perspectives. University of Chicago Press.
59. Robertson, G.P. (1987) Geostatistics in Ecology: interpolation with known variance. Ecology, 68, 744-748.
60. Rosenzweig, M.L. (1995) Species diversity in space and time. Cambridge University Press, Cambridge.
61. Scott, J.A. (1986) The butterflies of North America. Stanford University Press, Stanford.
62. Searle, S.R. (1971) Linear models. John Wiley, New York.
63. Stein, A. & Corsten, A.C.A. (1991) Universal kriging and cokriging as a regression procedure. Biometrics, 47, 575-587.
64. Stone, M. (1974) Cross-validation choice and assessment of statistical predictions. J. Roy. Stat. Soc. B, 36, 111-147.
65. Thomas, C.D. & Abery, J.C.G. (1995) Estimating rates of buttefly decline from distribution maps: the effect of scale. Biol. Conserv. 73, 59-65.
66. Turner, M.G., Dale, V.H. & Gardner, R.H. (1989) Predicting across scales: theory development and testing. Landscape Ecol. 3, 245-252.
67. Watkins, A.J. & Wilson, J.B. (1992) Fine-scale community structure of lawns. J. Ecol. 80, 15-24.
68. Wiegleb, G., Herr, W. & Todeskino, D. (1989) Ten years of vegetation dynamics in two rivulets in Lower Saxony. Vegetation, 82, 163-178.
69. Willems, J.H., Peet, R.K. & Bik, L. (1995) Changes in chalk-grassland structure and species richness resulting from selective nutrient additions. J. veget. Sci. 4, 203-212.
70. Williams, P.H. (1996) Mapping variations in the strength and breadth of biogeographic transition zones using species turnover. Proc. R. Soc. Lond. B, 263, 579-588.