Do habitat suitability models reliably predict the recovery areas of threatened species?

Journal of Applied Ecology

Volumn 47, Issue 2, 2010, Pages 421-430

  Cianfrani, Carmen ^a,b   Le Lay, Gwenaëlle ^b,c   Hirzel, Alexandre H ^b   Loy, Anna ^a  

^a UNIVERSITY OF MOLISE   (Italy)

^b UNIVERSITY OF LAUSANNE   (Switzerland)

^c SWISS FEDERAL RESEARCH INSTITUTE WSL   (Switzerland)

Author keywords

Conservation; Ecological niche; Evaluation; Otter; Presence absence data; Spatial spread; Species distribution model

Indexed keywords

CONSERVATION PLANNING; ENDANGERED SPECIES; HABITAT MANAGEMENT; HABITAT QUALITY; MUSTELID; RECOLONIZATION;

CARNIVORA; LUTRA LUTRA;

EID: 77951150223     PISSN: 00218901     EISSN: 13652664     Source Type: Journal    
DOI: 10.1111/j.1365-2664.2010.01781.x     Document Type: Article

References (49)

1. Akaike H. Information theory and extension of the Maximum Likelihood principle. Second International Symposium on Information Theory 1973, Budapest, Hungary
2. Austin M. Species distribution models and ecological theory: A critical assessment and some possible new approaches. Ecological modelling 2007, 200:1-19.
3. Barbosa A. Otter (Lutra lutra) distribution modeling at two resolution scales suited to conservation planning in the Iberian Peninsula. Biological conservation 2003, 114:377-387.
4. Beja P. Effects of fresh-water availability on the summer distribution of otters Lutra lutra in the Southwest Coast of Portugal. Ecography 1992, 15:273-278.
5. Beja P. Temporal and spatial patterns of rest-site use by four female otters Lutra lutra along the south-west coast of Portugal. Journal of Zoology 1996, 239:741-753.
6. Boyce MS, Vernier PR, Nielsen SE, Schmiegelow FKA. Evaluating resource selection functions. Ecological Modelling 2002, 157:281-300.
7. Brotons L, Thuiller W, Araujo MB, Hirzel AH. Presence-absence versus presence-only modelling methods for predicting bird habitat suitability. Ecography 2004, 27:437-448.
8. Bulgarini F, Calvario E, Fraticelli F, Pedretti F, Sarrocco S. Lista rossa dei vertebrati Italiani 1998, Roma, Italy
9. Burnham K P, Anderson D R. Model selection and Multimodel inference. A Practical Information-Theoretic Approach 2002, Springer, Fort Collins, CO, USA
10. Cagnolaro L, Rosso D, Spagnesi M, Venturi B. Inchiesta sulla distribuzione della lontra (Lutra lutra L.) in Italia e nei cantoni Ticino e Grigioni (Svizzera) 1971-73. Ric. Biol. Selv. 1975, 63:120.
11. Cohen J. A coefficient of agreement of nominal scales. Educational and Psychological Measurement 1960, 20:37-46.
12. Elith J, Graham CH. Do they? How do they? Why do they differ? On finding reasons for differing performances of species distribution models. Ecography 2009, 32:66-77.
13. Engler R, Guisan A, Rechsteiner L. An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. Journal of Applied Ecology 2004, 41:263-274.
14. Fielding AH, Bell JF. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 1997, 24:38-49.
15. Gibson L, Barrett B, Burbidge A. Dealing with uncertain absences in habitat modelling: a case study of a rare ground-dwelling parrot. Diversity and Distributions 2007, 13:704-713.
16. Guisan A, Zimmermann NE. Predictive habitat distribution models in ecology. Ecological Modelling 2000, 135:147-186.
17. Hirzel AH, Arlettaz R. Modelling habitat suitability for complex species distributions by the environmental-distance geometric mean. Environmental Management 2003, 32:614-623.
18. Hirzel AH, Braunisch V, Le Lay G, Hausser J, Perrin N. Biomapper 4.0. Lab. of Conservation Biology, Department of Ecology and Evolution 2008, University of Lausanne, Switzerland
19. Hirzel AH, Hausser J, Chessel D, Perrin N. Ecological-niche factor analysis: How to compute habitat-suitability maps without absence data? Ecology 2002, 83:2027-2036.
20. Hirzel AH, Helfer V, Métral F. Assessing habitat-suitability models with a virtual species. Ecological Modelling 2001, 145:111-121.
21. Hirzel AH, Le Lay G. Ecological niche theory and habitat suitability modelling. Journal of Applied Ecology 2008, 45:1372-1381.
22. Hirzel AH, Le Lay G, Helfer V, Randin C, Guisan A. Evaluating the ability of habitat suitability models to predict species presences. Ecological Modelling 2006, 199:142-152.
23. Huberty CJ. Applied Discriminant Analysis 1994, John Wiley & Sons, New York
24. Janssens X. Monitoring and predicting elusive species colonisation. Application to the otter in the Cévennes National Park (France) 2006, PhD thesis, Université catholique de Louvain
25. Johnson D. The use and misuse of statistics in wildlife habitat studies. The Use of Multivariate Statistics in Studies of Wildlife Habitat 1981, 11-19. Capen D. ed, pp, USDA Forest Service
26. Kranz A. Otters (Lutra lutra) increasing in Central Europe: from the threat of extinction to locally perceived overpopulation? Mammalia 2000, 64:357-368.
27. Kruuk H. Otters, Ecology, Behaviour and Conservation 2006, Oxford University Press, Oxford
28. Lobo JM, Jimenez-Valverde A, Real R. AUC: a misleading measure of the performance of predictive distribution models. Global Ecology and Biogeography 2008, 17:145-151.
29. Loy A, Carranza ML, Cianfrani C, D'Alessandro E, Bonesi L, Di Marzio P, Minotti M, Reggiani G. Otter Lutra lutra population expansion: assessing habitat suitability and connectivity in south-central Italy. 2009, 58:309-326. Folia Zoologica
30. MacKenzie DI, Nichols JD, Hines JE, Knutson MG, Franklin AB. Estimating site occupancy, colonization, and local extinction when a species is detected imperfectly. Ecology 2003, 84:2200-2207.
31. Manel S, Williams HC, Ormerod SJ. Evaluating presence-absence models in ecology: the need to account for prevalence. Journal of Applied Ecology 2001, 38:921-931.
32. Mason CF. Water pollution and otter distribution: a review. Lutra 1989, 32:97-131.
33. McCullagh P, Nelder JA. Generalized Linear Models 1989, 2nd edn, Chapman and Hall, London
34. Pearce J, Ferrier S. Evaluating the predictive performance of habitat models developed using logistic regression. Ecological modelling 2000, 133:225-245.
35. Peterson AT. Uses and requirements of ecological niche models and related distributional models. Biodiversity Informatics 2006, 3:59-72.
36. Philcox CK, Grogan AL, Macdonald DW. Patterns of otter Lutra lutra road mortality in Britain. Journal of Applied Ecology 1999, 36:748-762.
37. Prenda J. The relative influence of riparian habitat structure and fish availability on otter Lutra lutra L-sprainting activity in a small Mediterranean catchment. Biological conservation 1996, 76:9-15.
38. Prenda J. Conservation of otter (Lutra lutra) in a Mediterranean area: the importance of habitat quality and temporal variation in water availability. Aquatic Conservation 2001, 11:343-355.
39. Prigioni C, Balestrieri A, Remonti R. Decline and recovery in otter Lutra lutra populations in Italy. Mammal Review 2007, 37:71-79.
40. Pulliam HR. On the relationship between niche and distribution. Ecology Letters 2000, 3:349-361.
41. Rondinini C, Stuart S, Boitani L. Habitat suitability models and the shortfall in conservation planning for African vertebrates. Conservation Biology 2005, 19:1488-1497.
42. Roura-Pascual N, Brotons L, Peterson AT, Thuiller W. Consensual predictions of potential distributional areas for invasive species: a case study of Argentine ants in the Iberian Peninsula. Biological Invasions 2009, 11:1017-1031.
43. Ruiz-Olmo J. The influence of fish abundance on the otter (Lutra lutra) populations in Iberian Mediterranean habitats. Journal of Zoology 2001, 254:325-336.
44. Scott JM, Heglund PJ, Haufler JB, Morrison ML, Raphael MG, Wall WA, Samson FB. Predicting Species Occurrences: Issues of Accuracy and Scale 2002, Island Press edn, Island Press, USA
45. Spagnesi M, Toso S, De Marinis AM. I mammiferi d'Italia 2002, Ministero dell' Ambiente e della Tutela del Territorio e Istituto Nazionale per la Fauna Selvatica
46. Tsoar A, Allouche O, Steinitz O, Rotem D, Kadmon R. A comparative evaluation of presence-only methods for modeling species distribution. Diversity and Distributions 2007, 13:397-405.
47. Vaughan I. The continuing challenges of testing species distribution models. The Journal of Applied Ecology 2005, 42:720-730.
48. Whittingham MJ, Stephens PA, Bradbury RB, Freckleton RP. Why do we still use stepwise modelling in ecology and behaviour? Journal of Animal Ecology 2006, 75:1182-1189.
49. Zaniewski AE, Lehmann A, Overton JMC. Predicting species spatial distributions using presence-only data: a case study of native New Zealand ferns. Ecological Modelling 2002, 157:261-280.