title: Biodiversity conservation: uncertainty in predictions of extinction risk.
abstract: Thomas et al. model species-distribution responses to a range of climate-warming scenarios and use a novel application of the species-area relationship to estimate that 15-37% of modelled species in various regions of the world will be committed to extinction by 2050. Although we acknowledge the efforts that they make to measure the uncertainties associated with different climate scenarios, species' dispersal abilities and z values (predictions ranged from 5.6% to 78.6% extinctions), we find that two additional sources of uncertainty may substantially increase the variability in predictions.
authors.affiliation: Centre d'Ecologie Fonctionnelle et Evolutive, CNRS, 34293 Montpellier cedex 5, France. thuiller@nbi.ac.za
authors.forename: Wilfried
authors.initials: W
authors.lastname: Thuiller
authors.forename: Miguel B
authors.initials: MB
authors.lastname: Araújo
authors.forename: Richard G
authors.initials: RG
authors.lastname: Pearson
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Whittaker
authors.forename: Lluís
authors.initials: L
authors.lastname: Brotons
authors.forename: Sandra
authors.initials: S
authors.lastname: Lavorel
mesh_terms: D000222:Adaptation, Physiological; D000818:Animals; D044822:Biodiversity; D001717:Birds / Q000502:physiology; D003198:Computer Simulation; D003247:Conservation of Natural Resources; D017752:Greenhouse Effect; D008954:Models, Biological; D018521:Plant Physiological Phenomena; D011157:Population Dynamics; D011793:Queensland; D015203:Reproducibility of Results; D013045:Species Specificity