Red-shifts and red herrings in geographical ecology

Ecography

Volumn 23, Issue 1, 2000, Pages 101-113

  Lennon, Jack J ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOCORRELATION; SPATIAL ANALYSIS; STATISTICAL ANALYSIS;

CLUPEA HARENGUS; CLUPEIDAE;

EID: 0034028569     PISSN: 09067590     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1600-0587.2000.tb00265.x     Document Type: Article

References (48)

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. Austin, M. P., Pausas, J. G. and Nicholls, A. O. 1996. Patterns of tree species richness in relation to environment in southeastern New-South-Wales, Australia. - Aust. J. Ecol. 21: 154-164.
3. Blackburn, T. M. 1996. The distribution of bird species in the New World: patterns in species turnover. - Oikos 77: 146-152.
4. Blackburn, T. M. and Gaston, K. J. 1996. Spatial patterns in the body sizes of bird species in the New World. - Oikos 77: 436-446.
5. Böhning-Gaese, K. 1997. Determinants of avian species richness at different spatial scales. - J. Biogeogr. 24: 49-60.
6. Borcard, D. and Legendre, P. 1994. Environmental control and spatial structure in ecological commumities: an example using oribatid mites Acari, Oribatei. Environ. Ecol. Stat. 1: 37-61.
7. Borcard, D., Legendre, P. and Drapeau, P. 1992. Partialling out the spatial component of ecological variation. - Ecology 73: 1045-1055.
8. Buckland, S. T., Elston, D. A. and Beany, S. J. 1996. Predicting distributional change, with application to bird distributions in northeast Scotland. - Global Ecol. Biogeogr. Lett. 5: 66-84.
9. Cerioli, A. 1997. Modified tests of independence in 2 × 2 table with spatial data. - Biometrics 53: 619-628.
10. Cliff, A. D. and Ord, J. K. 1973. Spatial autocorrelation. Pion, London.
11. Clifford, P., Richardson, S. and Hemon, D. 1989. Assessing the significance of the correlation between two spatial processes. - Biometrics 45: 123-134.
12. Currie, D. J. 1991. Energy and large-scale patterns of animal- and plant-species richness. - Am. Nat. 137: 27-49.
13. Currie, D. J. and Paquin, V. 1987. Large-scale biogeographical patterns of species richness in trees. - Nature 329: 326-327.
14. Dutilleul, P. 1993. Modifying the t test for assessing the correlation between two spatial processes. - Biometrics 49: 304-314.
15. Gaston, K. J. and Blackburn, T. M. 1996. The tropics as a museum of biological diversity: an analysis of the New World avifauna. - Proc. R. Soc. Lond. B. 263: 63-68.
16. Gibbons, D. W., Reid, J. B. and Chapman, R. A. 1993. The new atlas of breeding birds in Britain and Ireland: 1988-1991. Poyser, London.
17. Goodman, J. W. 1968. Introduction to Fourier optics. McGraw-Hill.
18. Greenwood, J. J. D. and Baillie, S. R. 1991. Effects of density-dependence and weather on population-changes of English passerines using a non-experimental paradigm. Ibis 133: 121-133.
19. Haining, R. P. 1990. Spatial data analysis in the social and environmental sciences. - Cambridge Univ. Press.
20. Koenig, W. D. 1997. Spatial autocorrelation in California land birds. - Conserv. Biol. 12: 612-620.
21. Kurki, S. et al. 1998. Abundances of red fox and pine martin in relation to the composition of boreal forest landscapes. - J. Anim. Ecol. 67: 874-886.
22. Leathwick, J. R. and Mitchell, N. D. 1992. Forest pattern, climate and vulcanism in central North Island, New Zealand. - J. Veg. Sci. 3: 603-616.
23. Leduc, A. et al. 1992. Study of spatial components of forest cover using partial Mantel tests and path analysis. - J. Veg. Sci. 3: 69-78.
24. Legendre, P. 1993. Spatial autocorrelation: trouble or new paradigm? - Ecology 74: 1659-1673.
25. Lennon, J. J. 1990. Species richness distributions and climate. - Ph.D. thesis. Univ. of Leeds, U.K.
26. Manly, B. F. J. 1997. Randomization, Bootstrap and Monte Carlo methods in Biology. - Chapman and Hall.
27. Mardia, K. V. and Marshall, R. J. 1984. Maximum likelihood estimation of models for residual covariance in spatial regression. - Biometrika 71: 135-146.
28. McCollin, D. 1993. Avian distribution patterns in a fragmented woodland landscape (North Humberside, UK): the role of between-patch and within-patch structure. - Global Ecol. Biogeogr. Lett. 3: 48-62.
29. Newton, I. and Dale, L. C. 1996. Relationship between migration and latitude among west European birds. - J. Anim. Ecol. 65: 137-146.
30. Nilsson, C. et al. 1989. Patterns of plant species richness along riverbanks. - Ecology 70: 77-84.
31. O'Brien, E. M., Whittaker, R. J. and Field, R. 1998. Climate and woody plant diversity in southern Africa: relationships at species, genus and family levels. - Ecography 21: 495-509.
32. Palmer, M. W. and van der Maarel, E. 1995. Variance in species richness, species association, and niche limitation. -Oikos 73: 203-213.
33. Peltonen, M. et al. 1998. Bark beetle diversity at different spatial scales. - Ecography 21: 510-517.
34. Pitas, I. 1993. Digital image processing aleorithms. - Prentice Hall.
35. Ripley, B. D. 1981. Spatial statistics. - Wiley.
36. Ripley, B. D. 1988. Statistical inference for spatial processes. Cambridge Univ. Press.
37. Roxburgh, S. H. and Chesson, P. 1998. A new method for detecting species associations with spatially autocorrelated data. - Ecology 79: 2180-2192.
38. Russ, J. C. 1994. Fractal surfaces. - Plenum Press.
39. Schroeder, M. R. 1991. Fractals, chaos and power laws: minutes from an infinite paradise. - Freeman.
40. Shipley, B. 1991. A model of species density in shoreline vegetation. - Ecology 72: 1658-1667.
41. Smith, P. A. 1994. Autocorrelation in logistic regression modelling of species distributions. Global Ecol. Biodiv. Lett. 4: 47-61.
42. Sokal, R. R. and Oden, N. L. 1991. Spatial autocorrelation analysis as an inferential tool in population genetics. -Am. Nat. 138: 518-521.
43. Sokal, R. R. and Rohlf, F. J. 1995. Biometry: the principals and practice of statistics in biological research. 3rd ed. Freeman.
44. Student (W. S. Gosset). 1914. The elimination of spurious correlation due to position in time or space. - Biometrika 10: 179-181.
45. Thioulouse, J., Chessel, D. and Champely, S. 1995. Multivariate analysis of spatial patterns: a unified approach to local and global structures. Environ. Ecol. Stat. 2: 1-14.
46. Turner, J. R. G., Gatehouse, C. M. and Corey, C. A. 1987. Does solar energy control organic diversity? Butterflies, moths and the British Climate. Oikos 48: 195-205.
47. Turner, J. R. G., Lennon, J. J. and Lawrenson, J. A. 1988. British bird species distributions and the energy theory. -Nature 335: 539-541.
48. Voss, R. F. 1988. Fractals in nature: from characterisation to simulation. - In: Peitgen, H. O. and Saupe, D. (eds). The science of fractal images. Springer, pp. 21-90.