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Lívia Cristina Pinto Dias

Researcher at Universidade Federal de Ouro Preto

Publications -  16
Citations -  861

Lívia Cristina Pinto Dias is an academic researcher from Universidade Federal de Ouro Preto. The author has contributed to research in topics: Drainage basin & Deforestation. The author has an hindex of 9, co-authored 15 publications receiving 671 citations. Previous affiliations of Lívia Cristina Pinto Dias include Universidade Federal de Viçosa.

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Patterns of land use, extensification, and intensification of Brazilian agriculture.

TL;DR: The results provide the first comprehensive historical overview of agricultural land use and productivity in Brazil, providing clear insights to guide future territorial planning, sustainable agriculture, policy, and decision-making.
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Dependence of hydropower energy generation on forests in the Amazon Basin at local and regional scales.

TL;DR: Deforestation of the Amazon region inhibited rainfall within the Xingu Basin, counterbalancing declines in ET and decreasing discharge, and under business-as-usual projections of forest loss for 2050, simulated power generation declined to only 25% of maximum plant output and 60% of the industry’s own projections.
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Effects of land cover change on evapotranspiration and streamflow of small catchments in the Upper Xingu River Basin, Central Brazil

TL;DR: In this article, the influence of land cover changes on evapotranspiration and streamflow in small catchments in the Upper Xingu River Basin (Mato Grosso state, Brazil).
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Feedbacks between deforestation, climate, and hydrology in the Southwestern Amazon: implications for the provision of ecosystem services

TL;DR: In this paper, the authors investigate the potential impacts of deforestation throughout the Amazon on the seasonal and annual water balances of these river basins using coupled climatic and hydrologic models under several deforestation scenarios.
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Valores de referência de qualidade para metais pesados em solos no Estado do Espírito Santo

TL;DR: The Reference Quality Values (RQV) for heavy metals in soils are quite heterogeneous around the world as discussed by the authors and the use of these values can lead to erroneous assessments, due to the regional differences in technical and environmental variables, particularly in terms of geological, water and soil conditions.