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

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

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.

Related collections

Most cited references 59

Record: found
Abstract: not found
Article: not found

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

Stephen E. Fick, Robert J. Hijmans (2017)

0 comments Cited 2852 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: not found
Article: not found

Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset

G. Harris, P.D. Jones, T.J. Osborn … (2014)

0 comments Cited 712 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

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.

0 comments Cited 467 times – based on 0 reviews      Review now

Bookmark

All references

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

Ana C. Rorato http://orcid.org/0000-0002-1532-2016

Raquel Martins Lana http://orcid.org/0000-0002-7573-1364

Milton Barbosa 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

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

Custom metadata

Keywords: environmental impact,malaria,economics

Data availability:

Keywords: environmental impact, malaria, economics

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

Read this article at

Abstract

Related collections

UCL: UN SDG 08 Decent Work and Economic Growth

Most cited references 59

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

Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset

Tropical forests were the primary sources of new agricultural land in the 1980s and 1990s.

Author and article information

Contributors

Journal

Affiliations

Author information

Article

History

Funding

Categories

Custom metadata

Comments

Comment on this article

Similar content 241

Most referenced authors 1,756