Species distribution modeling for conservation purposes

Natureza a Conservacao

Volumn 10, Issue 2, 2012, Pages 214-220

  Ferraz, Katia Maria Paschoaletto Micchi de Barros ^a   Ferraz, Silvio Frosini de Barros ^a   de Paula, Rogerio Cunha ^b   Beisiegel, Beatriz ^b   Breitenmoser, Christine ^c  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b Centro Nacional de Pesquisa e Conservação de Mamíferos Carnívoros Instituto Chico Mendes de Conservação da Biodiversidade   (Brazil)

^c KORA   (Switzerland)

Author keywords

Conservation biology; Environmental space; Jaguar; Landscape; Maxent; Scale

Indexed keywords

EID: 84875191919     PISSN: 16790073     EISSN: None     Source Type: Journal    
DOI: 10.4322/natcon.2012.032     Document Type: Article

References (35)

1. Anderson RP & Martínez-Meyer E, 2004. Modeling species' geographic distributions for preliminary conservation assessments: an implementation with the spiny pocket mice (Heteromys) of Ecuador. Biological Conservation, 116(2):167-179.
2. Austin M, 2007. Species distribution models and ecological theory: A critical assessment and some possible new approaches. Ecological Modelling, 200(1-2):1-19.
3. Beisiegel BM, Sana DA & Moraes Junior EA, 2012. The jaguar in the Atlantic Forest. CatNews, 7:14-18.
4. Buermann W et al., 2008. Predicting species distributions across the Amazonian and Andean regions using remote sensing data. Journal of Biogeography, 35(7):1160-1176.
5. Chefaoui RM & Lobo JM, 2008. Assessing the effects of pseudo-absences on predictive distribution model performance. Ecological Modelling, 210(10):478-486.
6. Chefaoui RM, Hortal J & Lobo JM, 2005. Potential distribution modelling, niche characterization and conservation status assessment using GIS tools: a case study of Iberian Copris species. Biological Conservation, 122(2):327-338.
7. Costa GC et al., 2010. Sampling bias and the use of ecological niche modelingin conservation planning: a field evaluationin a biodiversity hotspot. Biodiversity and Conservation, 19(3):883-899.
8. Cullen Junior LC et al., 2005. As onças-pintadas como detetives da paisagem no corridor do Alto Paraná, Brasil. Natureza & Conservação, 3(1):43-58.
9. Desbiez ALJ & De Paula RC, 2012. Species conservation planning: the jaguar NationalAction Plan for Brazil. CatNews, 7:4-7.
10. Elith J & Leathwick JR, 2009. Species distribution models:ecological explanationand prediction acrossspace and time. Annual Review of Ecology, Evolution and Systematics, 40:677-697.
11. Elith J, Kearney M & Phillips S, 2010. The art of modelling range-shifting species. Methods in Ecology and Evolution, 1(4):330-342.
12. Ferraz KMPMB et al., 2010. Assessment of Cerdocyon thous distribution in an agricultural landscape, Southeastern Brazil. Mammalia, 74:275-280.
13. Ferraz KMPMB et al., 2012a. How species distribution models can improve cat conservation - jaguars in Brazil. CatNews, 7:38-42.
14. Ferraz KMPMB et al., 2012b. Adequabilidade ambiental dos biomas brasileiros à ocorrência da onça-pintada. In: De Paula RC et al. (orgs.). Plano de Ação Nacional para Conservação da Onça-Pintada no Brasil. ICMBio.
15. Ferraz KMPMB et al., 2012c. Environmental suitability of a highly fragmented and heterogeneous landscape for forest bird species in southeastern Brazil. Environmental Conservation, 1:1-9.
16. Fielding AH & Bell JF, 1997. A review of methods for the assessment of prediction errors inconservation presence/ absence models. Environmental Conservation, 24(1):38-49.
17. Franklin J, 2009. Mapping species distributions: Spatial inference and predictions. Cambridge: Cambridge University Press.
18. Franklin J, 2010. Moving beyond static species distribution models in support of conservation biogeography. Diversity and Distributions, 16(3):321-330.
19. Guisan A & Thuiller W, 2005. Predicting species distribution: offering more than simple habitat models. Ecology Letters, 8(9):993-1009.
20. Hernandez PA et al., 2006. The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography, 29(5):773-785.
21. Kamino LHY et al., 2011. Challenges and perspectives for species distribution modelling in the Neotropics. Biological Letters, 8(3):324-326. PMid:22031720 PMCid:3367727.
22. Lobo JM, Jiménez-Valverde A & Real R, 2008. AUC: a misleading measure of the performance of predictive distribution models. Global Ecology and Biogeography, 17:145-151.
23. McPherson JM & Jetz W, 2007. Effects of species' ecology on the accuracy of distribution models. Ecography, 30:135-151.
24. Myers N et al., 2000. Biodiversity hotspots for conservation priorities. Nature, 403:853-858. PMid:10706275.
25. Palmeira FBL et al., 2008. Cattle depredation by puma (Puma concolor) and jaguar (Panthera onca) in central-western Brazil. Biological Conservation, 141(1):118-125.
26. Pearson RG, 2007. Species' distribution modeling for conservation educators and practitioners: Synthesis. American Museum of Natural History.
27. Peterson AT et al., 2011. Ecological Niches and Geographic Distributions. Princeton: Princeton University Press.
28. Phillips SJ & Dudík M, 2008.Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography, 31(2):161-175.
29. Ribeiro MC et al., 2009. The Brazilian Atlantic Forest: How much is left, and how is the remaining forest distributed? Implications for conservation. Biological Conservation, 142(6):1141-1153.
30. Sollmann R et al., 2012. Using occupancy models to investigate space partitioning between two sympatric large predators, the jaguar and puma in central Brazil. Mammalian Biology, 77(1):41-46.
31. Vaughan IP & Ormerod SR, 2003. Improving the quality of distribution model for conservation by addressing shortcomings in the field collection of training data. Conservation Biology, 17(6):1601-1611.
32. Thorn W et al., 2009. Ecological niche modelling as a technique for assessing threats and setting conservation priorities for Asian slow lorises (Primates: Nycticebus). Diversity and Distributions, 15(2):289-298.
33. Torres NM et al., 2008. Jaguar Distribution in Brazil: Past, Present and Future. CatNews, 4:3-8.
34. Tôrres NM et al., 2012. Can species distribution modelling provide estimates of population densities? A case study with jaguars in the Neotropics. Diversity and Distributions, 18:615-627.
35. Tsoar A et al., 2007. A comparative evaluation of presence-only methods for modelling species distribution. Diversity and Distributions, 13(4):397-405.