Opportunities for big data in conservation and sustainability

Big data reveals new, stark pictures of the state of our environments. It also reveals ‘bright spots’ amongst the broad pattern of decline and—crucially—the key conditions for these cases. Big data analyses could benefit the planet if tightly coupled with ongoing sustainability efforts.

Detalles Bibliográficos
Autores principales: Runting, Rebecca K., Phinn, Stuart, Xie, Zunyi, Venter, Oscar, Watson, James E. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181767/
https://www.ncbi.nlm.nih.gov/pubmed/32332744
http://dx.doi.org/10.1038/s41467-020-15870-0
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author Runting, Rebecca K.
Phinn, Stuart
Xie, Zunyi
Venter, Oscar
Watson, James E. M.
author_facet Runting, Rebecca K.
Phinn, Stuart
Xie, Zunyi
Venter, Oscar
Watson, James E. M.
author_sort Runting, Rebecca K.
collection PubMed
description Big data reveals new, stark pictures of the state of our environments. It also reveals ‘bright spots’ amongst the broad pattern of decline and—crucially—the key conditions for these cases. Big data analyses could benefit the planet if tightly coupled with ongoing sustainability efforts.
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spelling pubmed-71817672020-04-29 Opportunities for big data in conservation and sustainability Runting, Rebecca K. Phinn, Stuart Xie, Zunyi Venter, Oscar Watson, James E. M. Nat Commun Comment Big data reveals new, stark pictures of the state of our environments. It also reveals ‘bright spots’ amongst the broad pattern of decline and—crucially—the key conditions for these cases. Big data analyses could benefit the planet if tightly coupled with ongoing sustainability efforts. Nature Publishing Group UK 2020-04-24 /pmc/articles/PMC7181767/ /pubmed/32332744 http://dx.doi.org/10.1038/s41467-020-15870-0 Text en © The Author(s) 2020 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/.
spellingShingle Comment
Runting, Rebecca K.
Phinn, Stuart
Xie, Zunyi
Venter, Oscar
Watson, James E. M.
Opportunities for big data in conservation and sustainability
title Opportunities for big data in conservation and sustainability
title_full Opportunities for big data in conservation and sustainability
title_fullStr Opportunities for big data in conservation and sustainability
title_full_unstemmed Opportunities for big data in conservation and sustainability
title_short Opportunities for big data in conservation and sustainability
title_sort opportunities for big data in conservation and sustainability
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181767/
https://www.ncbi.nlm.nih.gov/pubmed/32332744
http://dx.doi.org/10.1038/s41467-020-15870-0
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AT watsonjamesem opportunitiesforbigdatainconservationandsustainability

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