Assessing mammal exposure to climate change in the brazilian Amazon
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Human-induced climate change is considered a conspicuous threat to biodiversity in the
21st century. Species' response to climate change depends on their exposition, sensitivity
and ability to adapt to novel climates. Exposure to climate change is however uneven within
species' range, so that some populations may be more at risk than others. Identifying the
regions most exposed to climate change is therefore a first and pivotal step on determining
species' vulnerability across their geographic ranges. Here, we aimed at quantifying mammal
local exposure to climate change across species' ranges. We identified areas in the
Brazilian Amazon where mammals will be critically exposed to non-analogue climates in
the future with different variables predicted by 15 global circulation climate forecasts. We
also built a null model to assess the effectiveness of the Amazon protected areas in buffering
the effects of climate change on mammals, using an innovative and more realistic
approach. We found that 85% of species are likely to be exposed to non-analogue climatic
conditions in more than 80% of their ranges by 2070. That percentage is even higher for
endemic mammals; almost all endemic species are predicted to be exposed in more than
80% of their range. Exposure patterns also varied with different climatic variables and
seem to be geographically structured. Western and northern Amazon species are more
likely to experience temperature anomalies while northeastern species will be more
affected by rainfall abnormality. We also observed an increase in the number of criticallyexposed
species from 2050 to 2070. Overall, our results indicate that mammals might face
high exposure to climate change and that protected areas will probably not be efficient
enough to avert those impacts.
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RIBEIRO, Bruno. R.; SALES, Lilian P.; MARCO JR, Paulo De; LOYOLA, Rafael. Assessing mammal exposure to climate change in the brazilian Amazon. Plos One, San Francisco, v. 11, n. 11, e0165073, 2016. DOI: 10.1371/journal.pone.0165073. Disponível em: https://journals.plos.org/plosone/article/comments?id=10.1371/journal.pone.0165073. Acesso em: 6 fev. 2023.