Challenges and perspectives for species distribution modelling in the neotropics

Biology Letters

Volumn 8, Issue 3, 2012, Pages 324-326

  Kamino, Luciana H Y ^a   Stehmann, João Renato ^a   Amaral, Silvana ^b   De Marco, Paulo ^c   Rangel, Thiago F ^c   De Siqueira, Marinez F ^d   De Giovanni, Renato ^e   Hortal, Joaquín ^c,f  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^b INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

^c FEDERAL UNIVERSITY OF GOIÁS   (Brazil)

^d INSTITUTO DE PESQUISAS JARDIM BOTÂNICO DO RIO DE JANEIRO   (Brazil)

^e Centro de Referencia em Informaao Ambiental   (Brazil)

^f MUSEO NACIONAL DE CIENCIAS NATURALES   (Spain)

Author keywords

Bias; Biodiversity databases; Experimental design; Habitat suitability mapping; Rare species; Wallacean shortfall

Indexed keywords

BIOGEOGRAPHY; CONSERVATION MANAGEMENT; DATA SET; ECOLOGICAL MODELING; EXPERIMENTAL DESIGN; NEOTROPICAL REGION; POPULATION DISTRIBUTION; RARE SPECIES;

BELO HORIZONTE; BRAZIL; MINAS GERAIS;

GABAZA;

EID: 84861507871     PISSN: 17449561     EISSN: 1744957X     Source Type: Journal    
DOI: 10.1098/rsbl.2011.0942     Document Type: Conference Paper

References (13)

1. Rocchini, D., Hortal, J., Lengyel, S., Lobo, J. M., Jiménez- Valverde, A., Ricotta, C., Bacaro, G. & Chiarucci, A. 2011 Uncertainty in species distribution mapping and the need for maps of ignorance. Prog. Phys. Geogr. 35, 211-226. (doi:10.1177/0309133311399491)
2. Franklin, J. 2009 Mapping species distributions: spatial inference and prediction, 1st edn. Cambridge, UK: Cambridge University Press.
3. Lobo, J. M., Jiménez-Valverde, A. & Hortal, J. 2010 The uncertain nature of absences and their importance in species distribution modelling. Ecography 33, 103-114. (doi:10.1111/j.1600-0587.2009.06039.x)
4. Soberón, J. 2007 Grinnellian and Eltonian niches and geographic distributions of species. Ecol. Lett. 10, 1115-1123. (doi:10.1111/j.1461-0248. 2007.01107.x) (Pubitemid 350060398)
5. Jiménez-Valverde, A., Lobo, J. M. & Hortal, J. 2008 Not as good as they seem: the importance of concepts in species distribution modelling. Divers. Distrib. 14, 885-890. (doi:10.1111/j.1472-4642.2008.00496.x)
6. Colwell, R. K. & Rangel, T. F. 2009 Hutchinson's duality: the once and future niche. Proc. Natl Acad. Sci. USA 106 (Suppl. 2), 19651-19658. (doi:10.1073/pnas.0901650106)
7. Cayuela, L., Golicher, D. J., Newton, A., Kolb, M., de Alburquerque, F. S., Arets, E. J. M. M., Alkemade, R. M. & Pérez, A. M. 2009 Species distribution modelling in the tropics: problems, potentialities, and the role of biological data for species conservation. Trop. Conserv. Sci. 2, 319-352.
8. Feeley, K. J. & Silman, M. R. 2011 The data void in modeling current and future distributions of tropical species. Glob. Change Biol. 17, 626-630. (doi:10.1111/j.1365-2486.2010.02239.x)
9. Hortal, J., Lobo, J. M. & Jiménez-Valverde, A. 2007 Limitations of biodiversity databases: case study on seed-plant diversity in Tenerife (Canary Islands). Conserv. Biol. 21, 853-863. (doi:10.1111/j.1523-1739. 2007.00686.x) (Pubitemid 46802211)
10. Buermann, W., Saatchi, S., Smith, T. B., Zutta, B. R., Chaves, J. A., Mila, B. & Graham, C. H. 2008 Predicting species distributions across the Amazonian and Andean regions using remote sensing data. J. Biogeogr. 35, 1160-1176. (doi:10.1111/j.1365-2699.2007.01858.x) (Pubitemid 351841695)
11. Brook, B. W., Akçakaya, H. R., Keith, D. A., Mace, G. M., Pearson, R. G. & Araujo, M. B. 2009 Integrating bioclimate with population models to improve forecasts of species extinctions under climate change. Biol. Lett. 5, 723-725. (doi:10.1098/rsbl.2009.0480)
12. Levins, R. 1966 The strategy of model building in population biology. Am. Sci. 54, 421-431.
13. Raxworthy, C. J., Martinez-Meyer, E., Horning, N., Nussbaum, R. A., Schneider, G. E., Ortega-Huerta, M. A. & Peterson, A. T. 2003 Predicting distributions of known and unknown reptile species in Madagascar. Nature 426, 837-841. (doi:10.1038/nature02205) (Pubitemid 38056868)