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      Trajetorias: a dataset of environmental, epidemiological, and economic indicators for the Brazilian Amazon

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          Abstract

          The Trajetorias dataset is a harmonized set of environmental, epidemiological, and poverty indicators for all municipalities of the Brazilian Legal Amazon (BLA). This dataset is the result of a scientific synthesis research initiative conducted by scientists from several natural and social sciences fields, consolidating multidisciplinary indicators into a coherent dataset for integrated and interdisciplinary studies of the Brazilian Amazon. The dataset allows the investigation of the association between the Amazonian agrarian systems and their impacts on environmental and epidemiological changes, furthermore enhancing the possibilities for understanding, in a more integrated and consistent way, the scenarios that affect the Amazonian biome and its inhabitants.

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          Most cited references59

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          WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas

          Stephen E. Fick, Robert J. Hijmans (2017)
          Article 0 comments Cited 3115 times – based on 0 reviews     Review now
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            Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset

            G. Harris, P.D. Jones, T.J. Osborn … (2014)
            Article 0 comments Cited 732 times – based on 0 reviews     Review now
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              Tropical forests were the primary sources of new agricultural land in the 1980s and 1990s.

              H K Gibbs, A S Ruesch, F Achard … (2010)
              Global demand for agricultural products such as food, feed, and fuel is now a major driver of cropland and pasture expansion across much of the developing world. Whether these new agricultural lands replace forests, degraded forests, or grasslands greatly influences the environmental consequences of expansion. Although the general pattern is known, there still is no definitive quantification of these land-cover changes. Here we analyze the rich, pan-tropical database of classified Landsat scenes created by the Food and Agricultural Organization of the United Nations to examine pathways of agricultural expansion across the major tropical forest regions in the 1980s and 1990s and use this information to highlight the future land conversions that probably will be needed to meet mounting demand for agricultural products. Across the tropics, we find that between 1980 and 2000 more than 55% of new agricultural land came at the expense of intact forests, and another 28% came from disturbed forests. This study underscores the potential consequences of unabated agricultural expansion for forest conservation and carbon emissions.
              Article 0 comments Cited 475 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Ana C. Rorato:
                ORCID: http://orcid.org/0000-0002-1532-2016
                anarorato@gmail.com
                Journal
                Journal ID (nlm-ta): Sci Data
                Journal ID (iso-abbrev): Sci Data
                Title: Scientific Data
                Publisher: Nature Publishing Group UK (London )
                ISSN (Electronic): 2052-4463
                Publication date (Electronic): 2 February 2023
                Publication date PMC-release: 2 February 2023
                Publication date Collection: 2023
                Volume: 10
                Electronic Location Identifier: 65
                Affiliations
                [1 ]GRID grid.419222.e, ISNI 0000 0001 2116 4512, Laboratório de Investigação em Sistemas Socioambientais, Instituto Nacional de Pesquisas Espaciais, ; São José dos Campos, 12227-900 Brazil
                [2 ]GRID grid.10097.3f, ISNI 0000 0004 0387 1602, Barcelona Supercomputing Center (BSC), ; Barcelona, 08034 Spain
                [3 ]GRID grid.271300.7, ISNI 0000 0001 2171 5249, Universidade Federal do Pará, ; Belém, Brazil
                [4 ]GRID grid.411239.c, ISNI 0000 0001 2284 6531, Departamento de Ciências Administrativas, , Universidade Federal de Santa Maria, ; Santa Maria, Brazil
                [5 ]GRID grid.418068.3, ISNI 0000 0001 0723 0931, Programa de Computação Científica, Fundação Oswaldo Cruz, ; Rio de Janeiro, 21040-900 Brazil
                [6 ]GRID grid.8430.f, ISNI 0000 0001 2181 4888, Laboratório de Ecologia Evolutiva e Biodiversidade, , Universidade Federal de Minas Gerais, ; Belo Horizonte, 31270-901 Brazil
                [7 ]GRID grid.418068.3, ISNI 0000 0001 0723 0931, Laboratório de Biologia e Parasitologia de Mamíferos Silvestres Reservatórios, Fundação Oswaldo Cruz, ; Rio de Janeiro, 21040-900 Brazil
                [8 ]GRID grid.4795.f, ISNI 0000 0001 2157 7667, Departamento de Biodiversidad, Ecología y Evolución, , Universidad Complutense de Madrid, ; Madrid, Spain
                [9 ]GRID grid.418068.3, ISNI 0000 0001 0723 0931, Laboratório de Imunologia Viral, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, ; Rio de Janeiro, 21040-900 Brazil
                [10 ]GRID grid.411247.5, ISNI 0000 0001 2163 588X, Departamento de Medicina, Centro de Ciências Biológicas e da Saúde, , Universidade Federal de São Carlos, ; São Carlos, 13565-905 Brazil
                Author information
                http://orcid.org/0000-0002-1532-2016
                http://orcid.org/0000-0002-7573-1364
                http://orcid.org/0000-0003-4243-7895
                Article
                Publisher ID: 1962
                DOI: 10.1038/s41597-023-01962-1
                PMC ID: 9895449
                PubMed ID: 36732347
                SO-VID: 862207bf-2054-4738-a513-ff77f9720e81
                Copyright © © The Author(s) 2023
                License:

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                Date received : 7 October 2022
                Date accepted : 11 January 2023
                Funding
                Funded by: CNPQ MCTIC-SÍNTESE EM BIODIVERSIDADE E SERVIÇOS ECOSSISTÊMICOS-SINBIOSE, process 442357/2019-2
                Categories
                Subject: Data Descriptor
                Custom metadata
                issue-copyright-statement © The Author(s) 2023

                Keywords: environmental impact,malaria,economics
                Data availability:
                Keywords: environmental impact, malaria, economics

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