Evaluating temporal and spatial generality: How valid are species-habitat relationship models?

Ecological Modelling

Volumn 204, Issue 1-2, 2007, Pages 104-114

  Strauss, B ^a   Biedermann, R ^a  

^a UNIVERSITY OF OLDENBURG   (Germany)

Author keywords

Classification threshold; Grasshoppers; Habitat model; Leafhoppers; Model calibration; Model discrimination; Model transfer

Indexed keywords

DATA ACQUISITION; MATHEMATICAL MODELS; PROBABILITY; URBAN PLANNING; VEGETATION;

CLASSIFICATION THRESHOLD; GRASSHOPPERS; HABITAT MODEL; LEAFHOPPERS; MODEL CALIBRATION; MODEL DISCRIMINATION; MODEL TRANSFER;

BIODIVERSITY;

ECOLOGICAL MODELING; GRASSHOPPER; SPATIOTEMPORAL ANALYSIS; SPECIES OCCURRENCE; SPECIES-AREA RELATIONSHIP; VEGETATION STRUCTURE;

BERLIN; BREMEN [GERMANY]; CENTRAL EUROPE; EURASIA; EUROPE; GERMANY;

CICADELLIDAE; HEXAPODA;

EID: 34247113678     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2006.12.027     Document Type: Article

References (33)

1. Altman D.G., and Royston P. What do we mean by validating a prognostic model?. Stat. Med. 19 4 (2000) 453-473
2. Araujo M.B., and Guisan A. Five (or so) challenges for species distribution modelling. J. Biogeogr. 33 10 (2006) 1677-1688
3. Bulluck L., Fleishman E., Betrus C., and Blair R. Spatial and temporal variations in species occurrence rate affect the accuracy of occurrence models. Global Ecol. Biogeogr. 15 1 (2006) 27-38
4. Burnham K. Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach. second ed. (2002), Springer, New York
5. Detzel P. Die Heuschrecken Baden-Württembergs (1998), Ulmer, Stuttgart
6. Eyre M.D., Rushton S.P., Luff M.L., and Telfer M.G. Investigating the relationships between the distribution of British ground beetle species (Coleoptera, Carabidae) and temperature, precipitation and altitude. J. Biogeogr. 32 6 (2005) 973-983
7. Fielding A.H., and Bell J.F. A review of methods for the assessment of prediction errors in conservation presence-absence models. Environ. Conserv. 24 1 (1997) 38-49
8. Fisher J.T., Boutin S., and Hannon S.J. The protean relationship between boreal forest landscape structure and red squirrel distribution at multiple spatial scales. Landsc. Ecol. 20 1 (2005) 73-82
9. Fleishman E., Mac Nally R., and Fay J.P. Validation tests of predictive models of butterfly occurrence based on environmental variables. Conserv. Biol. 17 3 (2003) 806-817
10. Gibson L.A., Wilson B.A., Cahill D.M., and Hill J. Modelling habitat suitability of the swamp antechinus (Antechinus minimus maritimus) in the coastal heathlands of southern Victoria, Australia. Biol. Conserv. 117 2 (2004) 143-150
11. Gibson L.A., Wilson B.A., Cahill D.M., and Hill J. Spatial prediction of rufous bristlebird habitat in a coastal heathland: a GIS-based approach. J. Appl. Ecol. 41 2 (2004) 213-223
12. Guisan A., and Zimmermann N. Predictive habitat distribution models in ecology. Ecol. Modell. 135 (2000) 147-186
13. Hanley J.A., and McNeil B.J. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 143 1 (1982) 29-36
14. Harrell F.E., Lee K.L., Califf R.M., Pryor D.B., and Rosati R.A. Regression modeling strategies for improved prognostic prediction. Stat. Med. 3 2 (1984) 143-152
15. Hosmer D.W., and Lemeshow S. Applied Logistic Regression. second ed. (2000), Wiley, New York
16. Jensen O.P., Seppelt R., Miller T.J., and Bauer L.J. Winter distribution of blue crab Callinectes sapidus in Chesapeake Bay: application and cross-validation of a two-stage generalized additive model. Mar. Ecol. Progr. Ser. 299 (2005) 239-255
17. Liu C., Berry P.M., Dawson T.P., and Pearson R.G. Selecting thresholds of occurrence in the prediction of species distributions. Ecography 28 3 (2005) 385-393
18. Manly B.F. Randomization, Bootstrap and Monte Carlo Methods in Biology (2001), Chapman and Hall, London
19. McPherson J.M., Jetz W., and Rogers D.J. The effects of species' range sizes on the accuracy of distribution models: ecological phenomenon or statistical artefact?. J. Appl. Ecol. 41 5 (2004) 811-823
20. Miller M.E., Hui S.L., and Tierney W.M. Validation techniques for logistic-regression models. Stat. Med. 10 8 (1991) 1213-1226
21. Nickel H. The Leafhoppers and Planthoppers of Germany (Hemiptera, Auchenorrhyncha). Patterns and Strategies in a Highly Diverse Group of Phytophagous Insects. Series Faunistica 28 (2003), Pensoft, Sofia
22. Olden J.D., Jackson D.A., and Peres-Neto P.R. Predictive models of fish species distributions: a note on proper validation and chance predictions. Trans. Am. Fisheries Soc. 131 2 (2002) 329-336
23. Pearce J., and Ferrier S. An evaluation of alternative algorithms for fitting species distribution models using logistic regression. Ecol. Modell. 128 2-3 (2000) 127-147
24. Pearce J., and Ferrier S. Evaluating the predictive performance of habitat models developed using logistic regression. Ecol. Modell. 133 (2000) 224-245
25. Pearce J., Ferrier S., and Scotts D. An evaluation of the predictive performance of distributional models for flora and fauna in north-east New South Wales. J. Environ. Manage. 62 2 (2001) 171-184
26. Purtauf T., Thies C., Ekschmitt K., Wolters V., and Dauber J. Scaling properties of multivariate landscape structure. Ecol. Indicators 5 4 (2005) 295-304
27. Randin C.F., Dirnbock T., Dullinger S., Zimmermann N.E., Zappa M., and Guisan A. Are niche-based species distribution models transferable in space?. J. Biogeogr. 33 10 (2006) 1689-1703
28. Rebele F. Urban ecology and special features of urban ecosystems. Global Ecol. Biogeogr. Letters 4 6 (1994) 173-187
29. Schröder B., and Richter O. Are habitat models transferable in space and time?. Zeitschrift für Ökologie und Naturschutz 8 (1999/2000) 195-205
30. Steyerberg E.W., Bleeker S.E., Moll H.A., Grobbee D.E., and Moons K.G.M. Internal and external validation of predictive models: a simulation study of bias and precision in small samples. J. Clin. Epidemiol. 56 5 (2003) 441-447
31. Strauss B., and Biedermann R. Urban brownfields as temporary habitats: driving forces for the diversity of phytophagous insects. Ecography 29 (2006) 928-940
32. Vaughan I.P., and Ormerod S.J. Improving the quality of distribution models for conservation by addressing shortcomings in the field collection of training data. Conserv. Biol. 17 6 (2003) 1601-1611
33. Vaughan I.P., and Ormerod S.J. The continuing challenges of testing species distribution models. J. Appl. Ecol. 42 4 (2005) 720-730