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Published on: December 14, 2006
Climate change effects on population dynamics of three species of Amazonian lizards
Luisa Maria Diele-Viegas1, Fernanda Pinho Werneck2, Carlos Frederico Duarte Rocha3
1Departamento de Ecologia, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil; Instituto de Biologia, Universidade Federal da Bahia, Bahia, Brazil.
Abstract:
The scarcity of data on natural history and ecology of lizards still limits the understanding of population dynamics for many species. We attempt to evaluate possible effects of climate change on the population dynamics of three lizard species (Ameiva ameiva, Gonatodes humeralis and Norops fuscoauratus) in two Amazonian localities (Caxiuanã National Forest and Ducke Reserve). We calculated a tolerance index combining environmental thermal adequacy with the b-d model, which consider survival and reproductive rates to calculate population dynamics. Thus, we simulated population growth rates based on current and future environmental operative temperatures, considering an optimistic and a business-as-usual scenario of greenhouse gases emissions (GGE), and evaluate if the sensitivity of life history traits to population growth rate are likely to be trigged by climate change. Our results demonstrated that both populations of G. humeralis and the Ducke population of N. fuscoauratus may become locally extinct under both scenarios of GGE, while both populations of A. ameiva are likely to decrease, but without reaching a scenario of local extirpation. This study represents the first effort to evaluate the sensitivity of lizard populations and elasticity to climate change and demonstrate the geographic variability of these traits in three widespread and habitat-generalist species. We highlight the need of new studies focusing on species with different biological trait patterns, such as endemic distributions and habitat-specialists, to provide the theoretical and empirical basis for biologically informed conservation strategies and actions, in order to minimize the potential extinction of populations due to climate change.
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