How fine is fine-scale? Questioning the use of fine-scale bioclimatic data in species distribution models used for forecasting abundance patterns in butterflies

European Journal of Entomology

Volumn 110, Issue 2, 2013, Pages 311-317

  Filz, Katharina J ^a   Schmitt, Thomas ^a   Engler, Jan O ^a,b  

^a UNIVERSITY OF TRIER   (Germany)

^b ZOOLOGISCHES FORSCHUNGSMUSEUM ALEXANDER KOENIG   (Germany)

Author keywords

Environmental niche model; Environmental suitability; Invertebrates; MAXENT; Spatial abundance

Indexed keywords

ABUNDANCE; BIOCLIMATOLOGY; BUTTERFLY; ENVIRONMENTAL MODELING; FORECASTING METHOD; POPULATION DISTRIBUTION; SPATIAL ANALYSIS;

EID: 84875938373     PISSN: 12105759     EISSN: 18028829     Source Type: Journal    
DOI: 10.14411/eje.2013.044     Document Type: Article

References (45)

1. ARAÚJO M.B. & PETERSON A.T. 2012: Uses and misuses of bioclimatic envelope modelling. - Ecology 93: 1527-1539.
2. ARAÚJO M.B., PEARSON R.G., THUILLER W. & ERHARD M. 2005: Validation of species-climate impact models under climate change. - Glob. Change Biol. 11: 1504-1513.
3. ARAÚJO M.B., ALAGADOR D., CABEZA M., NOGUÉS-BRAVO D. & THUILLER W. 2011: Climate change threatens European conservation areas. - Ecol. Lett. 14: 484-492.
4. BALDWIN R.A. 2009: Use of maximum entropy modeling in wildlife research. - Entropy 11: 854-866.
5. BINK F.A. 1992: Ecologische Atlas van de Dagvlinders van Noordwest-Europa. Schuyt & Co. Uitgevers en Importeurs, Haarlem, 512 pp.
6. BRAMBILLA M. & FICETOLA G.F. 2012: Species distribution models as a tool to estimate reproductive parameters: a case study with a passerine bird species. - J. Anim. Ecol. 81: 781-787.
7. BRAMBILLA M., CASALE F., BERGERO V., CROVETTO G.M., FALCO R., NEGRI I., SICCARDI P. & BOGLIANI G. 2009: GIS-models work well, but are not enough: Habitat preferences of Lanius collurio at multiple levels and conservation implications. - Biol. Conserv. 142: 2033-2042.
8. CORD A. & RÖDDER D. 2011: Inclusion of habitat availability in species distribution models through multi-temporal remotesensing data? - Ecol. Appl. 21: 3285-3298.
9. DOVER J. & SETTELE J. 2009: The influences of landscape structure on butterfly distribution and movement: a review. - J. Insect Conserv. 13: 3-27.
10. ELITH J., GRAHAM C.H., ANDERSON R.P., DUDÍK M., FERRIER S., GUISAN A., HIJMANS R.J., HUETTMANN F., LEATHWICK J.R., LEHMANN A., LI J., LOHMANN L.G., LOISELLE B.A., MANION G., MORITZ C., NAKAMURA M., NAKAZAWA Y., OVERTON J.M.M., PETERSON A.T., PHILLIPS S.J., RICHARDSON K., SCACHETTIPEREIRA R., SHAPIRE R.E., SOBERÓN J., WILLIAMS S., WISZ M.S. & ZIMMERMANN N.E. 2006: Novel methods improve prediction of species' distributions from occurrence data. - Ecography 29: 129-151.
11. ELITH J., PHILLIPS S.J., HASTIE T., DUDÍK M., CHEE Y.E. & YATES C.J. 2011: A statistical explanation of MaxEnt for ecologists. - Divers. Distrib. 17: 43-57.
12. FICETOLA G.F., THUILLER W. & MIAUD C. 2007: Prediction and validation of the potential global distribution of a problematic alien invasive species - the American bullfrog. - Divers. Distrib. 13: 476-485.
13. FRANKLIN J. 2009: Mapping Species Distributions: Spatial Inference and Prediction. Cambridge University Press, Cambridge, 338 pp.
14. GASTON K.J. 2003: The Structure and Dynamics of Geographic Ranges. Oxford University Press, Oxford, 280 pp.
15. HABEL J.C., RÖDDER D., STEFANO S., MEYER M. & SCHMITT T. 2010: Strong genetic cohesiveness between Italy and North Africa in four butterfly species. - Biol. J. Linn. Soc. 99: 818-830.
16. HABEL J.C., RÖDDER D., SCHMITT T. & NÈVE G. 2011: Global warming will affect the genetic diversity and uniqueness of Lycaena helle populations. - Glob. Change Biol. 17: 194-205.
17. HEIKKINEN R.K., LUOTO M., ARAÚJO M.B., VIRKKALA R., THUILLER W. & SYKES M.T. 2006: Methods and uncertainties in bioclimatic envelope modelling under climate change. - Prog. Phys. Geog. 30: 751-777.
18. HERNANDEZ P.A., GRAHAM C.H., MASTER L.L. & ALBERT D.L. 2006: The effect of sample size and species characteristics on performance of different species distribution modelling methods. - Ecography 29: 773-785.
19. HIJMANS R.J. 2012: Cross-validation of species distribution models: removing spatial sorting bias and calibration with a null model. - Ecology 93: 679-688.
20. HIJMANS R.J., CAMERON S.E., PARRA J.L., JONES P.G. & JARVIS A. 2005: Very high resolution interpolated climate surfaces for global land areas. - Int. J. Climatol. 25: 1965-1978.
21. HOBBS N.T. & HANLEY T.A. 1990: Habitat evaluation: do use/ availability data reflect carrying capacity? - J. Wildlife Manag. 54: 515-522.
22. HUNTLEY B., ALTWEGG R., BARNARD P., COLLINGHAM Y.C. & HOLE D.G. 2012: Modelling relationships between abundance patterns and climate. - Global Ecol. Biogeogr. 21: 668-681.
23. JIMÉNEZ-VALVERDE A. 2012: Insights into the area under the receiver operating characteristic curve (AUC) as a discrimination measure in species distribution modelling. - Glob. Ecol. Biogeogr. 21: 498-507.
24. KELLER C.J., BROWN J.D. & KARR J.R. 1986: What is habitat suitability and how should it be measured? In Verner J., Morrison M.L. & Ralph C.J. (eds): Wildlife 2000: Modelling Wildlife-wabitat Relationships of Terrestrial Vertebrates. University of Wisconsin Press, Madison, pp. 476-488.
25. LIU C., BERRY P.M., DAWSON T.P. & PEARSON R.G. 2005: Selecting thresholds of occurrence in the prediction of species distributions. - Ecography 28: 385-393.
26. LOBO J.M., JIMÉNEZ-VALVERDE A. & REAL R. 2008: AUC: a misleading measure of the performance of predictive distribution models. - Glob. Ecol. Biogeogr. 17: 145-151.
27. MURPHY H.T., VANDERWAL J. & LOVETT-DOUST J. 2006: Distribution of abundance across the range in eastern North American trees. - Global Ecol. Biogeogr. 15: 63-71.
28. NIELSEN S.E., JOHNSON C.J., HEARD D.C. & BOYCE M.S. 2005: Can models of presence-absence be used to scale abundance? two case studies considering extremes in life history. - Ecography 28: 197-208.
29. PEARCE J.L. & BOYCE M.S. 2006: Modelling distribution and abundance with presence only-data. - J. Appl. Ecol. 43: 405-412.
30. PEARCE J. & FERRIER S. 2001: The practical value of modelling relative abundance of species for regional conservation planning: a case study. - Biol. Conserv. 98: 33-43.
31. PEARSON R.G., RAXWORTHY C.J., NAKAMURA M. & PETERSON A.T. 2007: Predicting species distributions from small numbers of occurrence records, a test case using cryptic geckos in Madagascar. - J. Biogeogr. 34: 102-117.
32. PFEIFER M., DISNEY M., QUAIFE T. & MARCHANT R. 2012: Terrestrial ecosystems from space: a review of earth observation products for macroecology applications. - Global Ecol. Biogeogr. 21: 603-624.
33. PHILLIPS S.J., ANDERSON R.P. & SCHAPIRE R.E. 2006: Maximum entropy modeling of species geographic distributions. - Ecol. Model. 190: 231-259.
34. POLLARD E. & YATES T.J. 1993: Monitoring Butterflies for Ecology and Conservation. The British Butterfly Monitoring Scheme. Chapman & Hall, London, 292 pp.
35. R DEVELOPMENT CORE TEAM 2012: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. Vienna, Austria. URL http://www.R-project.org/
36. RÖDDER D., SCHMIDTLEIN S., VEITH M. & LÖTTERS S. 2009: Alien invasive slider turtle in unpredicted habitat: A matter of niche shift or of predictors studied? - PlosOne 4(11): e7843.
37. RODRIGUEZ J.P., BROTONS L., BUSTAMANTE L. & SEOANA J. 2007: The application of predictive modeling of species distribution to biodiversity conservation. - Divers. Distrib. 13: 243-251.
38. SCHMITT T. & RÁKOSY L. 2007: Changes of traditional agrarian landscape and their conservation implications: a case study of butterflies in Romania. - Divers. Distrib. 13: 855-862.
39. SETTELE J., FELDMANN R. & REINHARDT R. 1999: Die Tagfalter Deutschlands-Ein Handbuch für Freilandökologen, Umweltplaner und Naturschützer. Ulmer, Stuttgart, 452 pp.
40. SIQUEIRA M.F. DE, DURIGAN G., DE MARCO JR. P. & PETERSON A. T. 2009: Something from nothing: Using landscape similarity and ecological niche modeling to find rare plant species. - J. Nat. Conserv. 17: 25-32.
41. SOBERON J. & NAKAMURA M. 2009: Niches and distributional areas: Concepts, methods, and assumptions. - Proc. Natl. Acad. Sci. U.S.A. 106: 19644-19650.
42. SWETS K. 1988: Measuring the accuracy of diagnostic systems. - Science 240: 1285-1293.
43. VANDERWAL J., SHOO L.P., JOHNSON C.N. & WILLIAMS S.E. 2009: Abundance and the environmental niche: Environmental suitability estimated from niche models predicts the upper limit of local abundance. - Am. Nat. 174: 282-291.
44. WENZEL M., SCHMITT T., WEITZEL M. & SEITZ A. 2006: The severe decline of butterflies on western calcareous grasslands during the last 30 years: A conservation problem. - Biol. Conserv. 128: 542-552.
45. WISZ M.S., HIJMANS R.J., PETERSON A.T., GRAHAM C.H., GUISAN A. & NPSDW GROUP 2008: Effects of sample size on the performance of species distribution models. - Divers. Distrib. 14: 763-773.