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A spatiotemporal natural-human database to evaluate road development impacts in an Amazon trinational frontier

Road construction and paving bring socio-economic benefits to receiving regions but can also be drivers of deforestation and land cover change. Road infrastructure often increases migration and illegal economic activities, which in turn affect local hydrology, wildlife, vegetation structure and dyna...

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Autores principales: Klarenberg, Geraldine, Muñoz-Carpena, Rafael, Perz, Stephen, Baraloto, Christopher, Marsik, Matthew, Southworth, Jane, Zhu, Likai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572834/
https://www.ncbi.nlm.nih.gov/pubmed/31209221
http://dx.doi.org/10.1038/s41597-019-0093-7
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author Klarenberg, Geraldine
Muñoz-Carpena, Rafael
Perz, Stephen
Baraloto, Christopher
Marsik, Matthew
Southworth, Jane
Zhu, Likai
author_facet Klarenberg, Geraldine
Muñoz-Carpena, Rafael
Perz, Stephen
Baraloto, Christopher
Marsik, Matthew
Southworth, Jane
Zhu, Likai
author_sort Klarenberg, Geraldine
collection PubMed
description Road construction and paving bring socio-economic benefits to receiving regions but can also be drivers of deforestation and land cover change. Road infrastructure often increases migration and illegal economic activities, which in turn affect local hydrology, wildlife, vegetation structure and dynamics, and biodiversity. To evaluate the full breadth of impacts from a coupled natural-human systems perspective, information is needed over a sufficient timespan to include pre- and post-road paving conditions. In addition, the spatial scale should be appropriate to link local human activities and biophysical system components, while also allowing for upscaling to the regional scale. A database was developed for the tri-national frontier in the Southwestern Amazon, where the Inter-Oceanic Highway was constructed through an area of high biological value and cultural diversity. Extensive socio-economic surveys and botanical field work are combined with remote sensing and reanalysis data to provide a rich and unique database, suitable for coupled natural-human systems research.
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spelling pubmed-65728342019-06-21 A spatiotemporal natural-human database to evaluate road development impacts in an Amazon trinational frontier Klarenberg, Geraldine Muñoz-Carpena, Rafael Perz, Stephen Baraloto, Christopher Marsik, Matthew Southworth, Jane Zhu, Likai Sci Data Data Descriptor Road construction and paving bring socio-economic benefits to receiving regions but can also be drivers of deforestation and land cover change. Road infrastructure often increases migration and illegal economic activities, which in turn affect local hydrology, wildlife, vegetation structure and dynamics, and biodiversity. To evaluate the full breadth of impacts from a coupled natural-human systems perspective, information is needed over a sufficient timespan to include pre- and post-road paving conditions. In addition, the spatial scale should be appropriate to link local human activities and biophysical system components, while also allowing for upscaling to the regional scale. A database was developed for the tri-national frontier in the Southwestern Amazon, where the Inter-Oceanic Highway was constructed through an area of high biological value and cultural diversity. Extensive socio-economic surveys and botanical field work are combined with remote sensing and reanalysis data to provide a rich and unique database, suitable for coupled natural-human systems research. Nature Publishing Group UK 2019-06-17 /pmc/articles/PMC6572834/ /pubmed/31209221 http://dx.doi.org/10.1038/s41597-019-0093-7 Text en © The Author(s) 2019 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Klarenberg, Geraldine
Muñoz-Carpena, Rafael
Perz, Stephen
Baraloto, Christopher
Marsik, Matthew
Southworth, Jane
Zhu, Likai
A spatiotemporal natural-human database to evaluate road development impacts in an Amazon trinational frontier
title A spatiotemporal natural-human database to evaluate road development impacts in an Amazon trinational frontier
title_full A spatiotemporal natural-human database to evaluate road development impacts in an Amazon trinational frontier
title_fullStr A spatiotemporal natural-human database to evaluate road development impacts in an Amazon trinational frontier
title_full_unstemmed A spatiotemporal natural-human database to evaluate road development impacts in an Amazon trinational frontier
title_short A spatiotemporal natural-human database to evaluate road development impacts in an Amazon trinational frontier
title_sort spatiotemporal natural-human database to evaluate road development impacts in an amazon trinational frontier
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572834/
https://www.ncbi.nlm.nih.gov/pubmed/31209221
http://dx.doi.org/10.1038/s41597-019-0093-7
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