The effects of species' range sizes on the accuracy of distribution models: Ecological phenomenon or statistical artefact?

Journal of Applied Ecology

Volumn 41, Issue 5, 2004, Pages 811-823

  McPherson, Jana M ^a,d   Jetz, Walter ^a,b,c   Rogers, David J ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b PRINCETON UNIVERSITY   (United States)

^c UNIVERSITY OF NEW MEXICO   (United States)

^d NONE   (Canada)

Author keywords

Discriminant analysis; Kappa; Logistic regression; Prevalence; ROC plots; Sample size; Satellite imagery

Indexed keywords

ACCURACY ASSESSMENT; ECOLOGICAL MODELING; GEOGRAPHICAL DISTRIBUTION; RANGE SIZE; REGRESSION ANALYSIS;

AVES;

EID: 5344259743     PISSN: 00218901     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0021-8901.2004.00943.x     Document Type: Article

References (62)

1. Agresti, A. (1996) An Introduction to Categorical Data Analysis. John Wiley & Sons, New York, NY.
2. Augustin, N.H., Mugglestone, M.A. & Buckland, S.T. (1996) An autologistic model for the spatial distribution of wildlife. Journal of Applied Ecology, 33, 339-347.
3. Brennan, R.L. & Prediger, D.J. (1981) Coefficient kappa: some uses, misuses, and alternatives. Educational and Psychological Measurement, 41, 687-699.
4. Brenner, H. & Gefeller, O. (1994) Chance-corrected measures of the validity of a binary diagnostic-test. Journal of Clinical Epidemiology, 47, 627-633.
5. Byrt, T., Bishop, J. & Carlin, J.B. (1993) Bias, prevalence and kappa. Journal of Clinical Epidemiology, 46, 423-429.
6. Cabeza, M., Araujo, M.B., Wilson, R.J., Thomas, C.D., Cowley, M.J.R. & Moilanen, A. (2004) Combining probabilities of occurrence with spatial reserve design. Journal of Applied Ecology, 41, 252-262.
7. Chatfield, C. (1996) The Analysis of Time Series: An Introduction, 5th edn. Chapman & Hall, London, UK.
8. Cicchetti, D.V. & Feinstein, A.R. (1990) High agreement but low kappa. II. Resolving the paradoxes. Journal of Clinical Epidemiology, 43, 551-558.
9. Cohen, J.A. (1960) A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37-46.
10. Corsi, F., Dupre, E. & Boitani, L. (1999) A large-scale model of wolf distribution in Italy for conservation planning. Conservation Biology, 13, 150-159.
11. Cumming, G.S. (2000) Using between-model comparisons to fine-tune linear models of species ranges. Journal of Biogeography, 27, 441-455.
12. Engler, R., Guisan, A. & Rechsteiner, L. (2004) An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. Journal of Applied Ecology, 41, 263-274.
13. Faraggi, D. & Reiser, B. (2002) Estimation of the area under the ROC curve. Statistics in Medicine, 21, 3093-3106.
14. Fielding, A.H. & Bell, J.F. (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation, 24, 38-49.
15. Fielding, A.H. & Haworth, P.F. (1995) Testing the generality of bird-habitat models. Conservation Biology, 9, 1466-1481.
16. Gates, S. & Donald, P.F. (2000) Local extinction of British farmland birds and the prediction of further loss. Journal of Applied Ecology, 37, 806-820.
17. Gibson, L.A., Wilson, B.A., Cahill, D.M. & Hill, J. (2004) Spatial prediction of rufous bristlebird habitat in a coastal heathland: a GIS-based approach. Journal of Applied Ecology, 41, 213-223.
18. Green, P.E. (1978) Analyzing Multivariate Data. Dryden Press, Hinsdale, IL.
19. Hanley, J.A. & McNeil, B.J. (1982) The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143, 29-36.
20. Harrison, J.A., Allan, D.G., Underbill, L.G., Herremans, M., Tree, A.J., Parker, V. & Brown, C.J. (1997) The Atlas of Southern African Birds. Birdlife South Africa, Johannesburg, South Africa.
21. Hay, S.I. (2000) An overview of remote sensing and geodesy for epidemiology and public health applications. Remote Sensing and Geographical Information Systems in Epidemiology (eds S.I. Hay, S.E. Randolph & D.J. Rogers), Vol. 47, pp. 1-35. Academic Press, London, UK.
22. Henderson, A.R. (1993) Assessing test accuracy and its clinical consequences: a primer for receiver operating characteristic curve analysis. Annals of Clinical Biochemistry, 30, 521-539.
23. Hendrickx, G. (1999) Georeferenced decision support methodology towards trypanomiasis management in West Africa. PhD Thesis. University of Gent, Gent, Belgium.
24. Hoehler, F.K. (2000) Bias and prevalence effects on kappa viewed in terms of sensitivity and specificity. Journal of Clinical Epidemiology, 53, 499-503.
25. Hoeting, J.A., Leecaster, M. & Bowden, D. (2000) An improved model for spatially correlated binary responses. Journal of Agricultural Biological and Environmental Statistics, 5, 102-114.
26. Insightful™ (2001) S-Plus 6 for Windows Guide to Statistics, Vol. 2. Insightful Corporation, Seattle, WA.
27. Jarvis, A.M. & Robertson, A. (1999) Predicting population sizes and priority conservation areas for 10 endemic Namibian bird species. Biological Conservation, 88, 121-131.
28. Jetz, W. & Rahbeck, C. (2002) Geographic range size and determinants of avian species richness. Science, 297, 1548-1551.
29. Joachim, J., Cargnelutti, B., Cibien, C. & Nappée, C. (1998) Évaluation par télédétection des biotopes à gélinotte de bois (Bonasa bonasia) dans le Parc national des Cévennes. Gibier Faune Sauvage, 15, 31-45.
30. Johnson, D.D.P., Hay, S.I. & Rogers, D.J. (1998) Contemporary environmental correlates of endemic bird areas derived from meteorological satellite sensors. Proceedings of the Royal Society of London Series B, Biological Sciences, 265, 951-959.
31. Kadmon, R., Farber, O. & Danin, A. (2003) A systematic analysis of factors affecting the performance of climatic envelope models. Ecological Applications, 13, 853-867.
32. Kriticos, D.J., Sutherst, R.W., Brown, J.R., Adkins, S.W. & Maywald, G.F. (2003) Climate change and the potential distribution of an invasive alien plant: Acacia nilotica ssp. indica. Australia. Journal of Applied Ecology, 40, 111-124.
33. Lantz, C.A. & Nebenzahl, E. (1996) Behavior and interpretation of the kappa statistic: resolution of the two paradoxes. Journal of Clinical Epidemiology, 49, 431-434.
34. Legendre, P. & Legendre, L. (1998) Numerical Ecology, 2nd English edition. Elsevier, Amsterdam, the Netherlands.
35. Li, W.J., Wang, Z.J., Ma, Z.J. & Tang, H.X. (1999) Designing the core zone in a biosphere reserve based on suitable habitats: Yancheng Biosphere Reserve and the red crowned crane (Grus japonensis). Biological Conservation, 90, 167-173.
36. Manel, S., Dias, J.M., Buckton, S.T. & Ormerod, S.J. (1999) Alternative methods for predicting species distribution: an illustration with Himalayan river birds. Journal of Applied Ecology, 36, 734-747.
37. Manel, S., Dias, J.M. & Ormerod, S.J. (1999) Comparing discriminant analysis, neural networks and logistic regression for predicting species distributions: a case study with a Himalayan river bird. Ecological Modelling, 120, 337-347.
38. Manel, S., Williams, H.C. & Ormerod, S.J. (2001) Evaluating presence-absence models in ecology: the need to account for prevalence. Journal of Applied Ecology, 38, 921-931.
39. Milsom, T.P., Langton, S.D., Parkin, W.K., Peel, S., Bishop, J.D., Hart, J.D. & Moore, N.P. (2000) Habitat models of bird species' distribution: an aid to the management of coastal grazing marshes. Journal of Applied Ecology, 37, 706-727.
40. Mitchell, M.S., Lancia, R.A. & Gerwin, J.A. (2001) Using landscape-level data to predict the distribution of birds on a managed forest: effects of scale. Ecological Applications, 11, 1692-1708.
41. Murtaugh, P.A. (1996) The statistical evaluation of ecological indicators. Ecological Applications, 6, 132-139.
42. Neave, H.M., Norton, T.W. & Nix, H.A. (1996) Biological inventory for conservation evaluation. II. Composition, functional relationships and spatial prediction of bird assemblages in southern Australia. Forest Ecology and Management, 85, 123-148.
43. Olden, J.D., Jackson, D.A. & Peres-Neto, P.R. (2002) Predictive models of fish species distributions: a note on proper validation and chance predictions. Transactions of the American Fisheries Society, 131, 329-336.
44. Osborne, P.E. & Suarez-Seoane, S. (2002) Should data be partitioned spatially before building large-scale distribution models? Ecological Modelling, 157, 249-259.
45. Osborne, P.E., Alonso, J.C. & Bryant, R.G. (2001) Modelling landscape-scale habitat use using GIS and remote sensing: a case study with great bustards. Journal of Applied Ecology, 38, 458-471.
46. Paradis, E., Baillie, S.R., Sutherland, W.J., Dudley, C., Crick, H.Q.P. & Gregory, R.D. (2000) Large-scale spatial variation in the breeding performance of song thrushes Turdus philomelos and blackbirds T. merula in Britain. Journal of Applied Ecology, 37, 73-87.
47. Parker, V. (1999) The Atlas of Birds of Sul do Save, Southern Mozambique. Avian Demography Unit and Endangered Wildlife Trust, Cape Town and Johannesburg, South Africa.
48. Pearce, J. & Ferrier, S. (2000a) Evaluating the predictive performance of habitat models developed using logistic regression. Ecological Modelling, 133, 225-245.
49. Pearce, J. & Ferrier, S. (2000b) An evaluation of alternative algorithms for fitting species distribution models using logistic regression. Ecological Modelling, 128, 127-147.
50. Pearce, J.L., Cherry, K., Drielsma, M., Ferrier, S. & Whish, G. (2001) Incorporating expert opinion and fine-scale vegetation mapping into statistical models of faunal distribution. Journal of Applied Ecology, 38, 412-424.
51. Pearce, J., Ferrier, S. & Scotts, D. (2001) An evaluation of the predictive performance of distributional models for flora and fauna in north-east New South Wales. Journal of Environmental Management, 62, 171-184.
52. Peterson, A.T., Ortega-Huerta, M.A., Bartley, J., Sanchez-Cordero, V., Soberon, J., Buddemeier, R.H. & Stockwell, D.R.B. (2002) Future projections for Mexican faunas under global climate change scenarios. Nature, 416, 626-629.
53. Rogers, D.J., Hay, S.I. & Packer, M.J. (1996) Predicting the distribution of tsetse flies in West Africa using temporal Fourier processed meteorological satellite data. Annals of Tropical Medicine and Parasitology, 90, 225-241.
54. Sakamoto, Y., Ishiguro, M. & Kitagawa, G. (1986) Akaike Information Criterion Statistics. D. Reidel Publishing Co., Boston, MA.
55. Scribner, K.T., Arntzen, J.W., Cruddace, N., Oldham, R.S. & Burke, T. (2001) Environmental correlates of toad abundance and population genetic diversity. Biological Conservation, 98, 201-210.
56. Sitati, N.W, Walpole, M.J., Smith, R.J. & Leader-Williams, N. (2003) Predicting spatial aspects of human-elephant conflict. Journal of Applied Ecology, 40, 667-677.
57. Stockwell, D.R.B. & Peterson, A.T. (2002) Effects of sample size on accuracy of species distribution models. Ecological Modelling, 148, 1-13.
58. Thompson, W.D. & Walter, S.D. (1988) A reappraisal of the kappa-coefficient. Journal of Clinical Epidemiology, 41, 949-958.
59. Vaughan, I.P. & Ormerod, S.J. (2003) Improving the quality of distribution models for conservation by addressing shortcomings in the field collection of training data. Conservation Biology, 17, 1601-1611.
60. Venier, L.A., McKenney, D.W., Wang, Y. & McKee, J. (1999) Models of large-scale breeding-bird distribution as a function of macro-climate in Ontario, Canada. Journal of Biogeography, 26, 315-328.
61. Williams, B.K. & Titus, K. (1988) Assessment of sampling stability in ecological applications of discriminant-analysis. Ecology, 69, 1275-1285.
62. Zweig, M.H. & Campbell, G. (1993) Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clinical Chemistry, 39, 561-577.