User menu

Accès à distance ? S'identifier sur le proxy UCLouvain

Transferability of species distribution models: a functional habitat approach for two regionally threatened butterflies.

Primary tabs

Vanreusel, Wouter Maes, Dirk Van Dyck, Hans [UCL]

Numerous models for predicting species distribution have been developed for conservation purposes. Most of them make use of environmental data (e.g., climate, topography, land use) at a coarse grid resolution (often kilometres). Such approaches are useful for conservation policy issues including reserve-network selection. The efficiency of predictive models for species distribution is usually tested on the area for which they were developed. Although highly interesting from the point of view of conservation efficiency, transferability of such models to independent areas is still under debate. We tested the transferability of habitat-based predictive distribution models for two regionally threatened butterflies, the green hairstreak (Callophrys rubi) and the grayling (Hipparchia semele), within and among three nature reserves in northeastern Belgium. We built predictive models based on spatially detailed maps of area-wide distribution and density of ecological resources. We used resources directly related to ecological functions (host plants, nectar sources, shelter, microclimate) rather than environmental surrogate variables. We obtained models that performed well with few resource variables. All models were transferable--although to different degrees--among the independent areas within the same broad geographical region. We argue that habitat models based on essential functional resources could transfer better in space than models that use indirect environmental variables. Because functional variables can easily be interpreted and even be directly affected by terrain managers, these models can be useful tools to guide species-adapted reserve management.

Document type Article de périodique (Journal article) – Journal Article, Research Support, Non-U.S. Gov't
Publication date 2007
Journal information "Conservation biology : the journal of the Society for Conservation Biology" - Vol. 21, no. 1, p. 201-12 (2007)
Peer reviewed yes
issn 0888-8892
Publication status Publié
Affiliations UCL - SC/BIOL - Département de biologie
UCL - SST/ELI/ELIB - Biodiversity
MESH Subject Animals ; Belgium ; Butterflies - physiology ; Conservation of Natural Resources - methods ; Demography ; Ecosystem ; Models, Theoretical ; Species Specificity
Links
  1. Araujo Miguel B., Cabeza Mar, Thuiller Wilfried, Hannah Lee, Williams Paul H., Would climate change drive species out of reserves? An assessment of existing reserve-selection methods, 10.1111/j.1365-2486.2004.00828.x
  2. Austin M.P, Spatial prediction of species distribution: an interface between ecological theory and statistical modelling, 10.1016/s0304-3800(02)00205-3
  3. Bink F. A., Ecologische Atlas van de Dagvlinders van Noordwest-Europa (1992)
  4. Binzenhöfer Birgit, Schröder Boris, Strauss Barbara, Biedermann Robert, Settele Josef, Habitat models and habitat connectivity analysis for butterflies and burnet moths – The example of Zygaena carniolica and Coenonympha arcania, 10.1016/j.biocon.2005.05.009
  5. Bonn Aletta, Schroder Boris, Habitat models and their transfer for single and multi species groups: a case study of carabids in an alluvial forest, 10.1034/j.1600-0587.2001.d01-204.x
  6. Brotons Lluís, Thuiller Wilfried, Araújo Miguel B., Hirzel Alexandre H., Presence-absence versus presence-only modelling methods for predicting bird habitat suitability, 10.1111/j.0906-7590.2004.03764.x
  7. Cabeza Mar, Araujo Miguel B., Wilson Robert J., Thomas Chris D., Cowley Matthew J. R., Moilanen Atte, Combining probabilities of occurrence with spatial reserve design, 10.1111/j.0021-8901.2004.00905.x
  8. Cowley Matthew J. R., Wilson Robert J., Leon-Cortes Jorge L., Gutierrez David, Bulman Caroline R., Thomas Chris D., Habitat-based statistical models for predicting the spatial distribution of butterflies and day-flying moths in a fragmented landscape, 10.1046/j.1365-2664.2000.00526.x
  9. Crawley M. J., GLIM for ecologists (1993)
  10. Blust Geert, Paelinckx Desiré, Kuijken Eckhart, Up-to-date information on nature quality for environmental management in Flanders, Ecosystem Classification for Environmental Management (1994) ISBN:9789048144204 p.223-249, 10.1007/978-94-017-1384-9_11
  11. Dennis Brian, Desharnais Robert A., Cushing J. M., Henson Shandelle M., Costantino R. F., Can noise induce chaos?, 10.1034/j.1600-0706.2003.12387.x
  12. R. L. H. Dennis, T. G. Shreeve, and H. Van Dyck . 2006 . Habitats and resources: the need for a resource-based definition to conserve butterflies . Biodiversity & Conservation: 15 :1943 -1966 .
  13. Dreisig H., Thermoregulation and flight activity in territorial male graylings, Hipparchia semele (Satyridae), and large skippers, Ochlodes venata (Hesperiidae), 10.1007/bf00317280
  14. Ellis S., Habitat quality and management for the northern brown argus butterfly Aricia artaxerxes (Lepidoptera: Lycaenidae) in North East England, 10.1016/s0006-3207(02)00376-2
  15. Engler Robin, Guisan Antoine, Rechsteiner Luca, An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data, 10.1111/j.0021-8901.2004.00881.x
  16. FIELDING Alan H., BELL JOHN F., A review of methods for the assessment of prediction errors in conservation presence/absence models, 10.1017/s0376892997000088
  17. Fielding Alan H., Haworth Paul F., Testing the Generality of Bird-Habitat Models, 10.1046/j.1523-1739.1995.09061466.x
  18. Fleishman Erica, Mac Nally Ralph, Patterns of spatial autocorrelation of assemblages of birds, floristics, physiognomy, and primary productivity in the central Great Basin, USA, 10.1111/j.1366-9516.2006.00240.x
  19. Guay J C, Boisclair D, Leclerc M, Lapointe M, Assessment of the transferability of biological habitat models for Atlantic salmon parr (Salmo salar), 10.1139/f03-120
  20. Guisan Antoine, Hofer Ulrich, Predicting reptile distributions at the mesoscale: relation to climate and topography, 10.1046/j.1365-2699.2003.00914.x
  21. Guisan Antoine, Thuiller Wilfried, Predicting species distribution: offering more than simple habitat models, 10.1111/j.1461-0248.2005.00792.x
  22. Guisan Antoine, Zimmermann Niklaus E., Predictive habitat distribution models in ecology, 10.1016/s0304-3800(00)00354-9
  23. GUISAN ANTOINE, BROENNIMANN OLIVIER, ENGLER ROBIN, VUST MATHIAS, YOCCOZ NIGEL G., LEHMANN ANTHONY, ZIMMERMANN NIKLAUS E., Using Niche-Based Models to Improve the Sampling of Rare Species, 10.1111/j.1523-1739.2006.00354.x
  24. Hein S., Pfenning B., Hovestadt T., Poethke H.-J., Patch density, movement pattern, and realised dispersal distances in a patch-matrix landscape—a simulation study, 10.1016/j.ecolmodel.2003.10.005
  25. Hirzel Alexandre, Guisan Antoine, Which is the optimal sampling strategy for habitat suitability modelling, 10.1016/s0304-3800(02)00203-x
  26. Hirzel A. H., Hausser J., Chessel D., Perrin N., Ecological-Niche Factor Analysis: How to Compute Habitat-Suitability Maps without Absence Data?, 10.2307/3071784
  27. Hosmer David W., Lemeshow Stanley, Applied Logistic Regression : Hosmer/Applied Logistic Regression, ISBN:9780471722144, 10.1002/0471722146
  28. LAMOUROUX NICOLAS, SOUCHON YVES, Simple predictions of instream habitat model outputs for fish habitat guilds in large streams, 10.1046/j.1365-2427.2002.00880.x
  29. Leftwich Kevin N., Angermeier Paul L., Dolloff C. Andrew, Factors Influencing Behavior and Transferability of Habitat Models for a Benthic Stream Fish, 10.1577/1548-8659(1997)126<0725:fibato>2.3.co;2
  30. Luoto Miska, Kuussaari Mikko, Toivonen Tuuli, Modelling butterfly distribution based on remote sensing data, 10.1046/j.1365-2699.2002.00728.x
  31. Maes D., Dagvlinders in Vlaanderen. Ecologie, verspreiding en behoud (1999)
  32. Maes Dirk, Van Dyck Hans, Butterfly diversity loss in Flanders (north Belgium): Europe's worst case scenario?, 10.1016/s0006-3207(00)00182-8
  33. Maes Dirk, Gilbert Marius, Titeux Nicolas, Goffart Philippe, Dennis Roger L. H., Prediction of butterfly diversity hotspots in Belgium: a comparison of statistically focused and land use-focused models, 10.1046/j.0305-0270.2003.00976.x
  34. Maes Dirk, Vanreusel Wouter, Talloen Willem, Dyck Hans Van, Functional conservation units for the endangered Alcon Blue butterfly Maculinea alcon in Belgium (Lepidoptera: Lycaenidae), 10.1016/j.biocon.2004.02.018
  35. Mäki-Petäys Aki, Huusko Ari, Erkinaro Jaakko, Muotka Timo, Transferability of habitat suitability criteria of juvenile Atlantic salmon (Salmo salar), 10.1139/f01-209
  36. Mallet J. P., Lamouroux N., Sagnes P., Persat H., Habitat preferences of European grayling in a medium size stream, the Ain river, France, 10.1111/j.1095-8649.2000.tb02145.x
  37. Manel Stéphanie, Williams H. Ceri, Ormerod S.J., Evaluating presence-absence models in ecology: the need to account for prevalence : Presence-absence modelling, 10.1046/j.1365-2664.2001.00647.x
  38. Newbold S., Ecological Applications, 14, 1384 (2004)
  39. Nicholls A.O., How to make biological surveys go further with generalised linear models, 10.1016/0006-3207(89)90005-0
  40. Nielsen Scott E., Johnson Chris J., Heard Douglas C., Boyce Mark S., Can models of presence-absence be used to scale abundance? Two case studies considering extremes in life history, 10.1111/j.0906-7590.2005.04002.x
  41. Pearce Jennie, Ferrier Simon, The practical value of modelling relative abundance of species for regional conservation planning: a case study, 10.1016/s0006-3207(00)00139-7
  42. Pullin Andrew S., Knight Teri M., Effectiveness in Conservation Practice: Pointers from Medicine and Public Health, 10.1046/j.1523-1739.2001.99499.x
  43. Randin Christophe F., Dirnböck Thomas, Dullinger Stefan, Zimmermann Niklaus E., Zappa Massimiliano, Guisan Antoine, Are niche-based species distribution models transferable in space?, 10.1111/j.1365-2699.2006.01466.x
  44. Rouquette James R., Thompson David J., Habitat associations of the endangered damselfly, Coenagrion mercuriale, in a water meadow ditch system in southern England, 10.1016/j.biocon.2004.11.011
  45. Rushton S. P., Ormerod S. J., Kerby G., New paradigms for modelling species distributions?, 10.1111/j.0021-8901.2004.00903.x
  46. Segurado Pedro, Araújo Miguel B., An evaluation of methods for modelling species distributions : Methods for modelling species distributions, 10.1111/j.1365-2699.2004.01076.x
  47. Seoane Javier, Bustamante Javier, Dı́az-Delgado Ricardo, Competing roles for landscape, vegetation, topography and climate in predictive models of bird distribution, 10.1016/j.ecolmodel.2003.08.006
  48. SEOANE JAVIER, BUSTAMANTE JAVIER, DIAZ-DELGADO RICARDO, Effect of Expert Opinion on the Predictive Ability of Environmental Models of Bird Distribution, 10.1111/j.1523-1739.2005.00364.x
  49. T. G. Shreeve, and R. L. H. Dennis, 1992 . Adult behaviour . Pages22 -45 in, editor. Adult behaviour . Oxford University Press, Oxford, United Kingdom.
  50. Shreeve Tim G., Dennis Roger L. H., Van Dyck Hans, Van Dyck Hans, Resources, habitats and metapopulations - whither reality?, 10.1111/j.0030-1299.2004.13516.x
  51. Tinbergen N., The animal in its world: explorations of an ethologist. Volume 1. Field Studies 1932-1972, 197 (1972)
  52. Tolman T., Butterflies of Britain and Europe (1997)
  53. Strien A. J. Van, Pavert R. Van De, Moss D., Yates T. J., Vanswaay C. A. M., Vos P., The Statistical Power of Two Butterfly Monitoring Schemes to Detect Trends, 10.2307/2404926
  54. van Swaay C. A. M., Red data book of European butterflies (Rhopalocera). Nature and environment no. 99 (1999)
  55. VAUGHAN I. P., ORMEROD S. J., Improving the Quality of Distribution Models for Conservation by Addressing Shortcomings in the Field Collection of Training Data, 10.1111/j.1523-1739.2003.00359.x
  56. O'CONNELL ALLAN F., GILBERT ANDREW T., HATFIELD JEFF S., Contribution of Natural History Collection Data to Biodiversity Assessment in National Parks, 10.1111/j.1523-1739.2004.00336.x
  57. WallisDeVries Michiel F, Poschlod Peter, Willems Jo H, Challenges for the conservation of calcareous grasslands in northwestern Europe: integrating the requirements of flora and fauna, 10.1016/s0006-3207(01)00191-4
  58. Warren M. S., Hill J. K., Thomas J. A., Asher J., Fox R., Huntley B., Roy D. B., Telfer M. G., Jeffcoate S., Harding P., Jeffcoate G., Willis S. G., Greatorex-Davies J. N., Moss D., Thomas C. D., 10.1038/35102054
  59. Whittingham Mark J., Wilson Jeremy D., Donald Paul F., Do habitat association models have any generality? Predicting skylarkAlauda arvensisabundance in different regions of southern England, 10.1034/j.1600-0587.2003.03522.x
  60. Wilson Kerrie A., Westphal Michael I., Possingham Hugh P., Elith Jane, Sensitivity of conservation planning to different approaches to using predicted species distribution data, 10.1016/j.biocon.2004.07.004
Bibliographic reference Vanreusel, Wouter ; Maes, Dirk ; Van Dyck, Hans. Transferability of species distribution models: a functional habitat approach for two regionally threatened butterflies.. In: Conservation biology : the journal of the Society for Conservation Biology, Vol. 21, no. 1, p. 201-12 (2007)
Permanent URL http://hdl.handle.net/2078.1/23114