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A social-ecological database to advance research on infrastructure development impacts in the Brazilian Amazon

Recognized as one of the world’s most vital natural and cultural resources, the Amazon faces a wide variety of threats from natural resource and infrastructure development. Within this context, rigorous scientific study of the region’s complex social-ecological system is critical to inform and direc...

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Autores principales: Tucker Lima, Joanna M., Valle, Denis, Moretto, Evandro Mateus, Pulice, Sergio Mantovani Paiva, Zuca, Nadia Lucia, Roquetti, Daniel Rondinelli, Beduschi, Liviam Elizabeth Cordeiro, Praia, Amanda Salles, Okamoto, Claudia Parucce Franco, da Silva Carvalhaes, Vinicius Leite, Branco, Evandro Albiach, Barbezani, Bruna, Labandera, Emily, Timpe, Kelsie, Kaplan, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5004584/
https://www.ncbi.nlm.nih.gov/pubmed/27575915
http://dx.doi.org/10.1038/sdata.2016.71
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author Tucker Lima, Joanna M.
Valle, Denis
Moretto, Evandro Mateus
Pulice, Sergio Mantovani Paiva
Zuca, Nadia Lucia
Roquetti, Daniel Rondinelli
Beduschi, Liviam Elizabeth Cordeiro
Praia, Amanda Salles
Okamoto, Claudia Parucce Franco
da Silva Carvalhaes, Vinicius Leite
Branco, Evandro Albiach
Barbezani, Bruna
Labandera, Emily
Timpe, Kelsie
Kaplan, David
author_facet Tucker Lima, Joanna M.
Valle, Denis
Moretto, Evandro Mateus
Pulice, Sergio Mantovani Paiva
Zuca, Nadia Lucia
Roquetti, Daniel Rondinelli
Beduschi, Liviam Elizabeth Cordeiro
Praia, Amanda Salles
Okamoto, Claudia Parucce Franco
da Silva Carvalhaes, Vinicius Leite
Branco, Evandro Albiach
Barbezani, Bruna
Labandera, Emily
Timpe, Kelsie
Kaplan, David
author_sort Tucker Lima, Joanna M.
collection PubMed
description Recognized as one of the world’s most vital natural and cultural resources, the Amazon faces a wide variety of threats from natural resource and infrastructure development. Within this context, rigorous scientific study of the region’s complex social-ecological system is critical to inform and direct decision-making toward more sustainable environmental and social outcomes. Given the Amazon’s tightly linked social and ecological components and the scope of potential development impacts, effective study of this system requires an easily accessible resource that provides a broad and reliable data baseline. This paper brings together multiple datasets from diverse disciplines (including human health, socio-economics, environment, hydrology, and energy) to provide investigators with a variety of baseline data to explore the multiple long-term effects of infrastructure development in the Brazilian Amazon.
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spelling pubmed-50045842016-09-13 A social-ecological database to advance research on infrastructure development impacts in the Brazilian Amazon Tucker Lima, Joanna M. Valle, Denis Moretto, Evandro Mateus Pulice, Sergio Mantovani Paiva Zuca, Nadia Lucia Roquetti, Daniel Rondinelli Beduschi, Liviam Elizabeth Cordeiro Praia, Amanda Salles Okamoto, Claudia Parucce Franco da Silva Carvalhaes, Vinicius Leite Branco, Evandro Albiach Barbezani, Bruna Labandera, Emily Timpe, Kelsie Kaplan, David Sci Data Data Descriptor Recognized as one of the world’s most vital natural and cultural resources, the Amazon faces a wide variety of threats from natural resource and infrastructure development. Within this context, rigorous scientific study of the region’s complex social-ecological system is critical to inform and direct decision-making toward more sustainable environmental and social outcomes. Given the Amazon’s tightly linked social and ecological components and the scope of potential development impacts, effective study of this system requires an easily accessible resource that provides a broad and reliable data baseline. This paper brings together multiple datasets from diverse disciplines (including human health, socio-economics, environment, hydrology, and energy) to provide investigators with a variety of baseline data to explore the multiple long-term effects of infrastructure development in the Brazilian Amazon. Nature Publishing Group 2016-08-30 /pmc/articles/PMC5004584/ /pubmed/27575915 http://dx.doi.org/10.1038/sdata.2016.71 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse.
spellingShingle Data Descriptor
Tucker Lima, Joanna M.
Valle, Denis
Moretto, Evandro Mateus
Pulice, Sergio Mantovani Paiva
Zuca, Nadia Lucia
Roquetti, Daniel Rondinelli
Beduschi, Liviam Elizabeth Cordeiro
Praia, Amanda Salles
Okamoto, Claudia Parucce Franco
da Silva Carvalhaes, Vinicius Leite
Branco, Evandro Albiach
Barbezani, Bruna
Labandera, Emily
Timpe, Kelsie
Kaplan, David
A social-ecological database to advance research on infrastructure development impacts in the Brazilian Amazon
title A social-ecological database to advance research on infrastructure development impacts in the Brazilian Amazon
title_full A social-ecological database to advance research on infrastructure development impacts in the Brazilian Amazon
title_fullStr A social-ecological database to advance research on infrastructure development impacts in the Brazilian Amazon
title_full_unstemmed A social-ecological database to advance research on infrastructure development impacts in the Brazilian Amazon
title_short A social-ecological database to advance research on infrastructure development impacts in the Brazilian Amazon
title_sort social-ecological database to advance research on infrastructure development impacts in the brazilian amazon
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5004584/
https://www.ncbi.nlm.nih.gov/pubmed/27575915
http://dx.doi.org/10.1038/sdata.2016.71
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