Two statistical methods to validate habitat suitability models using presence-only data

Ecological Modelling

Volumn 179, Issue 4, 2004, Pages 417-443

  Ottaviani, Daniela ^a   Lasinio, Giovanna Jona ^b   Boitani, Luigi ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b Dipartimento di Chimica   (Italy)

Author keywords

Distribution modelling; Habitat suitability models; Null model; Predictions; Presence only data; Spatial accuracy; Validation

Indexed keywords

ECOLOGICAL MODELING; GIS; HABITAT QUALITY; MODEL VALIDATION; SPATIAL ANALYSIS; SPECIES OCCURRENCE; STATISTICAL ANALYSIS;

ANIMALIA; VERTEBRATA;

EID: 4444336025     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2004.05.016     Document Type: Article

References (57)

1. Aebischer, N.J., Robertson, P.A., 1992. Practical aspects of compositional analysis as applied to pheasant habitat utilization. In: Priede, I.G., Swift, S.M. (Eds.), Wildlife Telemetry: Remote Monitoring and Tracking of Animals. Ellis Horwood, Chichester, pp. 285-293.
2. Aebischer N.J., Robertson P.A., Kenward R.E. Compositional analysis of habitat use from animal radio-tracking data. Ecology. 74:1993;1313-1325
3. Agresti, A., 2002. Categorical Data Analysis, second ed. Wiley, New York, 734 pp.
4. Aitchinson, J., 1986. The Statistical Analysis of Compositional Data. Chapman & Hall, London.
5. Anderson R.P., Lew D., Pterson A.T. Evaluating predictive models of species' distributions: criteria for selecting optimal models. Ecol. Model. 162:2003;211-232
6. Aspinall R.J. Use of logistic regression for validation of maps of the spatial distribution of vegetation species derived from a high spatial resolution hyperspectral remotely sensed data. Ecol. Model. 157:2002;301-312
7. Bamber D. The area above the ordinal dominance graph and the area below the receiver operating graph. J. Math. Psych. 12:1975;387-415
8. Boitani, L., Corsi, F., Falcucci, A., Marzetti, M., Montemaggiori, A., Ottaviani, D., Reggiani, G., Rondinini, C., 2001. La Rete Ecologica Nazionale: il Contributo dei Vertebrati, Atti del Convegno la Conoscenza Botanica e Zoologica in Italia: dagli inventari al monitoraggio. Ministero dell'Ambiente e della Tutela del Territorio, Servizio Conservazione della Natura.
9. Boitani, L., Corsi, F., Falcucci, A., Marzetti, M., Montemaggiori, A., Ottaviani, D., Reggiani, G., Rondinini, C., 2002. La Rete Ecologica Nazionale. Un approccio alla conservazione dei Vertebrati. Ministero dell'Ambiente, Università degli Studi di Roma "La Sapienza" e Istituto di Ecologia Applicata, Roma, p. 20.
10. Boitani, L., Corsi, F., Falcucci, A., Marzetti, M., Montemaggiori, A., Ottaviani, D., Reggiani, G., Rondinini, C., 2003. "Rete ecologica: un approccio alla conservazione dei vertebrati italiani. Relazione tecnica, http://www.gisbau.uniroma1.it/ren.
11. Bon, M., Paolucci, P., Mezzavilla, F., De Battisti, R., Vernier, E. (Eds.), 1995. Atlante dei Mammiferi del Veneto. Lavori Soc. Ven. Sc. Nat. Suppl., vol. 21, p. 132.
12. Boone R.B., Krohn W.B. Modelling the occurrence of bird species: are the errors predictable? Ecol. Appl. 9:1999;835-848
13. Boone R.B., Krohn W. Predicting broad-scale occurrence of vertebrates in patchy landscapes. Landscape Ecol. 15:2000;63-74
14. Cassidy, K., Garton, E.O., Krohn, W.B., Mills, L.S., Scott, J.M., Williams, K., Csuti, B., 1994. Assessing the predictive ability of GAP analysis vertebrate distribution maps, http://asio.jde.aca.mmu.ac.uk/new_gis/GapAnal/ valvert.htm.
15. Corsi, F., de Leeuw, J., Skidmore, A., 2000. Modelling species distribution with GIS. In: Boitani, L., Fuller, T.K. (Eds.), Research Techniques in Animal Ecology. Controversies and Consequences. Columbia University Press, New York, pp. 389-434.
16. Devroye, L., 1986. Non-Uniform Random Variate Generation. Sprinter-Verlag, New York.
17. Dixon, P.M., 2001. The Bootstrap Technical Report, Iowa State University.
18. Dunning J.B., Danielson J.B., Pulliam H.R. Ecological processes that affect populations in complex landscapes. Oikos. 65:1992;169-175
19. Efron B., Tibshirani R.J. Bootstrap methods for standard errors, confidence intervals and other measures of statistical accuracy. Stat. Sci. 1:1986;54-77
20. Efron, B., Tibshirani, R.J., 1993. An Introduction to the Boostrap. Chapman & Hall, New York.
21. Elith, J., Burgman, M., 2002. Predictions and their validation: rare plants in Central Highlands, Victoria, Australia. In: Scott, J.M., Heglund, P.J., Morrison, M.L., et al. (Eds.), Predicting Species Occurrences. Issues of Accuracy and Scale. Island Press, Washington, pp. 303-313.
22. Elith J., Burgman M., Regan H.M. Mapping epistemic uncertainty and vague concepts in predictions of species distribution. Ecol. Model. 157:2002b;313-329
23. Fagerstrom T. On theory, data and mathematics in ecology. Oikos. 50:1987;258-261
24. Fielding, A.H., 2002. What are appropriate characteristics of an accuracy measure? In: Scott, J.M., Heglund, P.J., Morrison, M.L., et al. (Eds.), Predicting Species Occurrences. Issues of Accuracy and Scale. Island Press, Washington, pp. 271-280.
25. Fielding A.H., Bell J.F. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ. Conserv. 24(1):1997;30-49
26. Fornasari L., De Carli E., Mingozzi T. Mito 2000, programma di monitoraggio dell'avifauna nidificante in Italia: sintesi del primo anno di rilevamento. Avocetta. 25:2001;28
27. Gaston K.L. How large is a species geographic range? Oikos. 61(3):1991;434-438
28. Gellini, S., Casini, L., Matteucci, C., 1995. Atlante dei mammiferi della provincia di Forlì (1989-1991). Maggioli editore, p. 179.
29. Gotelli N.G. Research frontiers in null model analysis. Global Ecol. Biogeography. 10:2001;337-343
30. Guisan A., Zimmermann N.E. Predictive habitat distribution in ecology. Ecol. Model. 135:2000;147-186
31. Henebry, G.M., Merchant, J.W., 2002. Geospatial data in time: limits and prospects for predicting species occurrences. In: Scott, J.M., Heglund, P.J., Morrison, M.L., et al. (Eds.), Predicting Species Occurrences. Issues of Accuracy and Scale. Island Press, Washington, pp. 291-302.
32. Hill M.J., Aspinall R., Willms W.D. Knowledge-based and inductive modelling of rough fescue (Festuca altaica, F. campestris and F. hallii) distribution in Alberta, Canada. Ecol. Model. 103:1997;135-150
33. Hirzel A.H., Helfer V., Métral F. Assessing habitat-suitability models with a virtual species. Ecol. Model. 145:2001;111-121
34. Hirzel A.H., Guisan A. Which is the optimal sampling strategies for habitat suitability modelling? Ecol. Model. 157:2002;331-341
35. Hirzel A.H., Hausser J., Chessel D., Perrin N. Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data? Ecology. 83(7):2002;2027-2036
36. IUCN, 1995. World Conservation Union, Species Survival commission. IUCN red list categories. IUCN/World Conservation Union, Gland, Switzerland.
37. Lehmann A.McC., Overton J., Leathwick J.R. GRASP: generalized regression analysis and spatial prediction. Ecol. Model. 157:2002;189-207
38. Monte L., Håkanson L., Bergström U., Brittain J., Heling R. Uncertainty analysis and validation of environmental models: the empirically based uncertainty analysis. Ecol. Model. 91:1996;139-152
39. Morrison, M.L., Marcot, B.G., Mannan, R.W., 1998. Wildlife-Habitat Relationships: Concept and Applications. The University of Wisconsin Press, Madison, Wisconsin.
40. Osborne P.E., Alonso J.C., Bryant R.G. Modelling landscape-scale habitat use using GIS and remote sensing: a case study with great bustards. J. Appl. Ecol. 38:2001;458-471
41. Osborne P.E., Suarez-Seoane S. Should data be partioned spatially before building large-scale distribution models? Ecol. Model. 157:2002;249-259
42. Ottaviani, D., 2004. Distribution models of animal species in Italy: pros and cons of their use for the conservation of biodiversity. Ph.D. thesis, Università di Roma "La Sapienza", p. 240 (in Italian).
43. Pearce J., Ferrier S. Evaluating the predictive performance of habitat models developed using logistic regression. Ecol. Model. 133:2000;225-245
44. Peterson A., Cohoon K.P. Sensitivity of distributional prediction algorithms to geographic data completeness. Ecol. Model. 117:1999;159-164
45. Prigioni, C., Cantini, M., Zilio, A. (Eds.), 2001. Atlante dei Mammiferi della Lombardia, Regione Lombardia e Università degli Studi di Pavia, p. 324.
46. Reutter B.A., Helfer V., Hirzel A.H., Vogel P. Modelling habitat-suitability using museum collections: an example with three sympatric Apodemus species from Alps. J. Biogeography. 30:2003;581-590
47. Rotenberry, J.T., Knick, S.T., Dunn, J.E., 2002. A minimalist approach to mapping species' habitat: Pearson's planes of closest fit. In: Scott, J.M., Heglund, P.J. Morrison, M.L., et al. (Eds.), Predicting Species Occurrences. Issues of Accuracy and Scale. Island Press, Washington, pp. 281-289.
48. Rykiel E.J. Testing ecological models: the meaning of validation. Ecol. Model. 90:1996;229-244
49. Scaravelli, D., Gellini, S., Cicognani, L., Matteucci, C. (Eds.), 2001. Atlante dei Mammiferi della Provincia di Ravenna. Amm. Prov. Ravenna e STERNA, Stampa litografia Litotre Brisighella.
50. Sforzi, A., Ragni, B., 1997. Atlante dei mammiferi della provincia di Grosseto. Suppl. 17, degli Atti del Museo di Storia Naturale della Maremma, Grosseto, p. 189.
51. Schaefer, S.M., Krohn, W.B., 2002. Predicting vertebrates occurrences from species habitat association: improving the interpretation of commission error rates. In: Scott, J.M., Heglund, P.J., Morrison, M.L., et al. (Eds.), Predicting Species Occurrences. Issues of Accuracy and Scale. Island Press, Washington, pp. 419-427.
52. Secretariat of the Convention of Biological Diversity, 2001. Handbook of the Convention on Biological Diversity. Earthscan Publications Ltd., London, p. 690.
53. Sokal, R.R., Rohlf, F.J., 1995. Biometry. The Principle and Practice of Statistics in Biological Research. W.H. Freeman & Company, New York, pp. 427-450.
54. Stauffer, H.B., Ralph, C.J., Miller, S.L., 2002. Incorporating detection uncertainty into presence-absence survey for marbled murrelet. In: Scott, J.M., Heglund, P.J., Morrison, M.L., et al. (Eds.), Predicting Species Occurrences. Issues of Accuracy and Scale. Island Press, Washington, pp. 357-365.
55. Stockwell D.R.B., Townsend Peterson A. Effects of sample size on accuracy of species distribution models. Ecol. Model. 148:2002;1-13
56. Zaniewski A.E., Lehmann A., Overton J.McC. Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns. Ecol. Model. 157:2002;261-280
57. Zielinski W.J., Stauffer H.B. Monitoring Martes population in California: survey design and power analysis. Ecol. Appl. 6:1996;1254-1267