Conservation planning with insects at three different spatial scales

Ecography

Volumn 33, Issue 1, 2010, Pages 54-63

  Cabeza, Mar ^a   Arponen, Anni ^b   Jäättelä, Laura ^b   Kujala, Heini ^b   van Teeffelen, Astrid ^c   Hanski, Ilkka ^b  

^a MUSEO NACIONAL DE CIENCIAS NATURALES   (Spain)

^b UNIVERSITY OF HELSINKI   (Finland)

^c WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

BUTTERFLY; CLIMATE CHANGE; CONSERVATION PLANNING; COST-BENEFIT ANALYSIS; DECISION MAKING; ECOLOGICAL MODELING; HABITAT LOSS; HABITAT MANAGEMENT; INTERPOLATION; LANDSCAPE ECOLOGY; MAPPING METHOD; NUMERICAL MODEL; PROTECTED AREA; QUANTITATIVE ANALYSIS; SPATIAL VARIATION; TRADE-OFF;

HEXAPODA; PAPILIONOIDEA;

EID: 77953938008     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/j.1600-0587.2009.06040.x     Document Type: Article

References (68)

1. Araújo, M. B. and Williams, P. H. 2000. Selecting areas for species persistence using occurrence data. - Biol. Conserv. 96: 331-345.
2. Araújo, M. B. and Luoto, M. 2007. The importance of biotic interactions for modeling species distributions under climate change. - Global Ecol. Biogeogr. 16: 743-753.
3. Baguette, M. 2004. The classical metapopulation theory and the real, natural world: a critical appraisal. - Basic Appl. Ecol. 5: 213-224.
4. Bevers, M. et al. 1995. Sustainable forest management for optimizing multispecies wildlife habitat: a coastal Douglas-fir example. - Nat. Resour. Model. 9: 1-23.
5. Burgman, M. A. et al. 2001. A method for setting the size of plant conservation target areas. - Conserv. Biol. 15: 603-616.
6. Cabeza, M. 2003. Habitat loss and connectivity of reserve networks in probability approaches to reserve design. - Ecol. Lett. 6: 665-672.
7. Cabeza, M. and Moilanen, A. 2001. Design of reserve networks and the persistence of biodiversity. - Trends Ecol. Evol. 16: 242-248.
8. Cabeza, M. and Moilanen, A. 2003. Site-selection algorithms and habitat loss. - Conserv. Biol. 17: 1402-1413.
9. Cabeza, M. and van Teeffelen, A. J. A. 2009. Strategies of reserve selection. - Encyclopedia of Life Sciences, doi 10.1002/9780470015902.a0021224.
10. Cabeza, M. et al. 2004. Combining probabilities of occurrence with spatial reserve design. - J. Appl. Ecol. 41: 252-262.
11. Ceballos, G. et al. 2005. Global mammal conservation: what must we manage? - Science 309: 603-607.
12. Cowling,R. M. et al. 1999. From representation to persistence: requirements for a sustainable system of conservation areas in the species-rich Mediterranean climate desert of southern Africa. - Divers. Distrib. 5: 51-71.
13. Ehrlich, P. R. and Hanski, I. (eds). 2004. On the wings of checkerspots: a model system for population biology. - Oxford Univ. Press.
14. Etienne, R. S. et al. 2004. Application of stochastic patch occupancy model to real metapopulations. - In: Hanski, I. and Gaggiotti, O. E. (eds), Ecology, genetics, and evolution of metapopulations. Elsevier, pp. 105-132.
15. Freeman, E. A. and Moisen, G. G. 2008. A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and kappa. - Ecol. Model. 217: 48-58
16. Grenyer, R. et al. 2006. Global distribution and conservation of rare and threatened vertebrates. - Nature 444: 93-96.
17. Hanski, I. 1994. A practical model of metapopulation dynamics. -J. Anim. Ecol. 63: 151-162.
18. Hanski, I. 1999. Metapopulation ecology. - Oxford Univ. Press. Hanski, I. 2004. Metapopulation theory, its use and misuse. - Basic Appl. Ecol. 5: 225-229.
19. Hanski, I. 2005. The shrinking world: ecological consequences of habitat loss. - International Ecology Inst., Oldendorf/Luhe, Germany.
20. Hernandez, P. A. et al. 2006. The effect of sample size and species characteristics on performance of different species distribution modeling methods. - Ecography 29: 773-785
21. Hill, J. K. et al. 1999. Climate and habitat availability determine twentieth century changes in a butterfly's range margins. Proc. R. Soc. B 266: 1197-1206.
22. Hof, J. G. and Raphael, M. G. 1993. Some mathematical-programming approaches for optimizing timber age-class distributions to meet multispecies wildlife population objectives. - Can. J. For. Res. 23: 828-834.
23. Hortal, J. 2008. Uncertainty and the measurement of terrestrial biodiversity gradients. - J. Biogeogr. 35: 1355-1356.
24. Hurlbert, A. H. and Jetz, W. 2007. Species richness, hotspots, and the scale dependence of range maps in ecology and conservation. - Proc. Nat. Acad. Sci. USA 104: 13384-13389.
25. Jiménez-Valverde, A. and Lobo, J. M. 2007. Threshold criteria for conversion of probability of species presence to either-or presence-absence. - Acta Oecol. 31: 361-369.
26. Komonen, A. et al. 2004. The role of niche breadth, resource availability and range position on the life history of butterflies. -Oikos 105: 41-54.
27. Kremen, C. et al. 2008. Aligning conservation priorities across taxa in Madagascar with high-resolution planning tools. - Science 320: 222-226.
28. Kuussaari, M. et al. 2007. Contrasting trends of butterfly species preferring semi-natural grasslands, field margins and forest edges in northern Europe. - J. Insect Conserv. 11: 351-366.
29. Larsen, F. W. and Rahbek, C. 2003. Influence of scale on conservation priority setting - a test on African mammals. - Biodivers. Conserv. 12: 599-614.
30. Lehmann, A. et al. 2002. GRASP: generalized regression analysis and spatial predictions. - Ecol. Model. 157: 189-207.
31. Liu, C. et al. 2005. Selecting thresholds of occurrence in the prediction of species distributions. - Ecography 28: 385-393.
32. Luoto, M. et al. 2006. Determinants of biogeographical distribution of butterflies in boreal regions. - J. Biogeogr. 33: 1764-1778.
33. Maggini, R. et al. 2006. Improving generalized regression analysis for spatial predictions of forest communities. - J. Biogeogr. 33: 1729-1749.
34. Margules, C. R. and Pressey, R. L. 2000. Systematic conservation planning. - Nature 405: 243-253.
35. Margules, C. R. et al. 1994. Apparent species turnover, probability of extinction and the selection of nature reserves: a case study of the Ingleborough Limestone Pavements. - Conserv. Biol. 8: 398-409.
36. McCarthy, M. A. et al. 2004. Comparing predictions of extinction risk using models and subjective judgment. - Acta Oecol. 26: 67-74.
37. Moilanen, A. 2007. Landscape zonation, benefit functions, and target-based planning: unifying reserve selection strategies. - Biol. Conserv. 134: 571-579.
38. Moilanen, A. and Cabeza, M. 2002. Single-species dynamic site selection. - Ecol. Appl. 12: 913-926.
39. Moilanen, A. and Kujala, H. 2008. The Zonation conservation planning framework and software v.2.0: user manual. - .
40. Moilanen, A. et al. 2005. Prioritising multiple use landscapes for conservation: methods for large multi species planning problems. - Proc. R. Soc. B 272: 1885-1891.
41. Moilanen, A. et al. 2009. Combining replacement cost with habitat loss rates: conservation priorization for cryptogams at forests of Norway. - Biol. Conserv. 142: 575-585.
42. Moore, J. L. et al. 2003. Performance of sub-Saharan vertebrates as indicator groups for identifying priority areas for conservation. - Conserv. Biol. 17: 207-218.
43. Nicholson, E. et al. 2006. A new method for conservation planning for the persistence of multiple species. - Ecol. Lett. 9: 1049-1060.
44. O'Hara, R. B. et al. 2002. Bayesian analysis of metapopulation data. - Ecology 83: 2408-2415.
45. Possingham, H. P. et al. 2000. Mathematical methods for identifying representative reserve networks. - In: Ferson, S. and Burgman, M. A. (eds), Quantitative methods for conservation biology. Springer, pp. 291-306.
46. Pöyry, J. 2007. Management of semi-natural grasslands for butterfly and moth communities. - Ph.D. thesis, Univ. of Helsinki, Finland.
47. Pressey, R. L. 1994. Ad hoc reservations: forward or backward steps in developing representative reserve systems? - Conserv. Biol. 8: 662-668.
48. Pressey, R. L. et al. 2003. Formulating conservation targets for biodiversity pattern and process in the Cape Floristic Region, South Africa. - Biol. Conserv. 112: 99-127.
49. Rahbek, C. and Graves, G. R. 2000. Detection of macroecological patterns in South American hummingbirds is affected by spatial scale. - Proc. R. Soc. B 267: 2259-2265.
50. Rodrigues, A. S. L. et al. 2000. Robustness of reserve selection procedures under temporal species turnover. - Proc. R. Soc. B 267: 49-55.
51. Rodrigues, A. S. L. et al. 2004. Effectiveness of the global protected area network in representing species diversity. Nature 428: 640-643.
52. Rondinini, C. et al. 2006. Tradeoffs of different types of species occurrence data for use in systematic conservation planning. -Ecol. Lett. 9: 1136-1145.
53. Settele, J. et al. 2008. Climatic risk atlas of European butterflies. - Biorisk 1 (Special Issue), Pensoft, Sofia, Bulgaria.
54. Shriner, S. A. et al. 2006. Reserve networks based on richness hotspots and representation vary with scale. - Ecol. Appl. 16: 1660-1673.
55. Stockwell, D. and Peters, D. 1999. The GARP modelling system: problems and solutions to automated spatial prediction. - Int. J. Geogr. Inform. Sci. 13: 143-158.
56. Stoms, D. M. 1994. Scale dependence of species richness maps. Professional Geogr. 46: 346-358.
57. Van Teeffelen, A. J. A. and Moilanen, A. 2008. Where and how to manage: optimal selection of conservation actions for multiple species. - Biodivers. Inform. 5: 1-13.
58. Van Teeffelen, A. J. A. et al. 2008. Maximizing conservation benefit for grassland species with contrasting management requirements. -J. Appl. Ecol. 45: 1401-1409.
59. Van Teeffelen, A. J. A. et al. 2006. Connectivity, probabilities and persistence: comparing reserve selection strategies. - Biodivers. Conserv. 15: 899-919.
60. Venäläinen, A. and Heikinheimo, M. 2002. Meteorological data for agricultural applications. - Phys. Chem. Earth 27: 1045-1050.
61. Wahlberg, N. et al. 1996. Predicting the occurrence of species in fragmented landscapes. - Science 273: 1536-1538.
62. Wahlberg, N. et al. 2002. Metapopulation structure and movements in five species of checkerspot butterflies. - Oecologia 130: 33-3.
63. Warman, L. D. et al. 2004. Sensitivity of systematic reserve selection to decisions about scale, biological data, and targets: case study from southern British Columbia. - Conserv. Biol. 18: 655-666.
64. Williams, P. H. and Araujo, M. B. 2000. Using probability of persistence to identify important areas for biodiversity conservation. - Proc. R. Soc. B 267: 1959-1966.
65. Williams, P. H. et al. 2005. Planning for climate change: identifying minimum-dispersal corridors for the Cape Protea-ceae. - Conserv. Biol. 19: 1063-74.
66. Wilson, K. A. et al. 2005. Sensitivity of conservation planning to different approaches to using predicted species distribution data. - Biol. Conserv. 122: 99-112.
67. Wilson et al. 2010. Linking habitat use to range expansion rates in fragmented landscapes: a metapopulation approach. - Ecography 33: 73-82.
68. Wisz, M. S. et al. 2008. Effects of sample size on the performance of species distribution models. - Divers. Distrib. 14: 763-773.