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Climatically-mediated landcover change: impacts on Brazilian territory

Overview of attention for article published in Anais da Academia Brasileira de Ciências, May 2017
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Title
Climatically-mediated landcover change: impacts on Brazilian territory
Published in
Anais da Academia Brasileira de Ciências, May 2017
DOI 10.1590/0001-3765201720160226
Pubmed ID
Authors

Marina Zanin, Geiziane Tessarolo, Nathália Machado, Ana Luisa M Albernaz

Abstract

In the face of climate change threats, governments are drawing attention to policies for mitigating its effects on biodiversity. However, the lack of distribution data makes predictions at species level a difficult task, mainly in regions of higher biodiversity. To overcome this problem, we use native landcover as a surrogate biodiversity, because it can represent specialized habitat for species, and investigate the effects of future climate change on Brazilian biomes. We characterize the climatic niches of native landcover and use ecological niche modeling to predict the potential distribution under current and future climate scenarios. Our results highlight expansion of the distribution of open vegetation and the contraction of closed forests. Drier Brazilian biomes, like Caatinga and Cerrado, are predicted to expand their distributions, being the most resistant to climate change impacts. However, these would also be affected by losses of their closed forest enclaves and their habitat-specific or endemic species. Replacement by open vegetation and overall reductions are a considerable risk for closed forest, threatening Amazon and Atlantic forest biomes. Here, we evidence the impacts of climate change on Brazilian biomes, and draw attention to the necessity for management and attenuation plans to guarantee the future of Brazilian biodiversity.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Brazil 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 14%
Student > Master 6 12%
Researcher 6 12%
Student > Ph. D. Student 6 12%
Student > Doctoral Student 3 6%
Other 7 14%
Unknown 14 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 33%
Environmental Science 7 14%
Social Sciences 2 4%
Engineering 2 4%
Earth and Planetary Sciences 1 2%
Other 3 6%
Unknown 18 37%