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Alexandre de Siqueira Pinto

Researcher at Universidade Federal de Sergipe

Publications -  30
Citations -  1777

Alexandre de Siqueira Pinto is an academic researcher from Universidade Federal de Sergipe. The author has contributed to research in topics: Vegetation & Pasture. The author has an hindex of 18, co-authored 28 publications receiving 1516 citations. Previous affiliations of Alexandre de Siqueira Pinto include University of Brasília.

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How much land based greenhouse gas mitigation can be achieved without compromising food security and environmental goals

TL;DR: An assessment of the mitigation potential possible in the AFOLU sector under possible future scenarios in which demand-side measures codeliver to aid food security concludes that while supply-side mitigation measures, such as changes in land management, might either enhance or negatively impact food security, demand- side mitigation measures should benefit both food security and greenhouse gas mitigation.
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Estimating greenhouse gas emissions from cattle raising in Brazil

TL;DR: The authors in this paper estimated the greenhouse gas emissions associated with cattle raising in Brazil, focusing on the period from 2003 to 2008 and the three principal sources: 1) portion of deforestation resulting in pasture establishment and subsequent burning of felled vegetation; 2) pasture burning; and 3) bovine enteric fermentation.
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Nutrient use efficiency at ecosystem and species level in savanna areas of Central Brazil and impacts of fire

TL;DR: In this article, the effects of prescribed burnings on woody plants, litterfall and nutrient fluxes were investigated in a burned and an unburned cerrado plot between October 1997 and September 1999.
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Potential impacts of climate change on biogeochemical functioning of Cerrado ecosystems.

TL;DR: Interactions between the heterogeneity in the composition and abundance of biological communities throughout the Cerrado Domain and current and future changes in land use make it difficult to project the impacts of future climate scenarios at different temporal and spatial scales and new modeling approaches are needed.