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Crop climate suitability mapping on the cloud: a geovisualization application for sustainable agriculture

Climate change, food security, and environmental sustainability are pressing issues faced by today’s global population. As production demands increase and climate threatens crop productivity, agricultural research develops innovative technologies to meet these challenges. Strategies include biodiver...

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Detalles Bibliográficos
Autores principales: Peter, Brad G., Messina, Joseph P., Lin, Zihan, Snapp, Sieglinde S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511951/
https://www.ncbi.nlm.nih.gov/pubmed/32968122
http://dx.doi.org/10.1038/s41598-020-72384-x
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author Peter, Brad G.
Messina, Joseph P.
Lin, Zihan
Snapp, Sieglinde S.
author_facet Peter, Brad G.
Messina, Joseph P.
Lin, Zihan
Snapp, Sieglinde S.
author_sort Peter, Brad G.
collection PubMed
description Climate change, food security, and environmental sustainability are pressing issues faced by today’s global population. As production demands increase and climate threatens crop productivity, agricultural research develops innovative technologies to meet these challenges. Strategies include biodiverse cropping arrangements, new crop introductions, and genetic modification of crop varieties that are resilient to climatic and environmental stressors. Geography in particular is equipped to address a critical question in this pursuit—when and where can crop system innovations be introduced? This manuscript presents a case study of the geographic scaling potential utilizing common bean, delivers an open access Google Earth Engine geovisualization application for mapping the fundamental climate niche of any crop, and discusses food security and legume biodiversity in Sub-Saharan Africa. The application is temporally agile, allowing variable growing season selections and the production of ‘living maps’ that are continually producible as new data become available. This is an essential communication tool for the future, as practitioners can evaluate the potential geographic range for newly-developed, experimental, and underrepresented crop varieties for facilitating sustainable and innovative agroecological solutions.
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spelling pubmed-75119512020-09-29 Crop climate suitability mapping on the cloud: a geovisualization application for sustainable agriculture Peter, Brad G. Messina, Joseph P. Lin, Zihan Snapp, Sieglinde S. Sci Rep Article Climate change, food security, and environmental sustainability are pressing issues faced by today’s global population. As production demands increase and climate threatens crop productivity, agricultural research develops innovative technologies to meet these challenges. Strategies include biodiverse cropping arrangements, new crop introductions, and genetic modification of crop varieties that are resilient to climatic and environmental stressors. Geography in particular is equipped to address a critical question in this pursuit—when and where can crop system innovations be introduced? This manuscript presents a case study of the geographic scaling potential utilizing common bean, delivers an open access Google Earth Engine geovisualization application for mapping the fundamental climate niche of any crop, and discusses food security and legume biodiversity in Sub-Saharan Africa. The application is temporally agile, allowing variable growing season selections and the production of ‘living maps’ that are continually producible as new data become available. This is an essential communication tool for the future, as practitioners can evaluate the potential geographic range for newly-developed, experimental, and underrepresented crop varieties for facilitating sustainable and innovative agroecological solutions. Nature Publishing Group UK 2020-09-23 /pmc/articles/PMC7511951/ /pubmed/32968122 http://dx.doi.org/10.1038/s41598-020-72384-x 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Peter, Brad G.
Messina, Joseph P.
Lin, Zihan
Snapp, Sieglinde S.
Crop climate suitability mapping on the cloud: a geovisualization application for sustainable agriculture
title Crop climate suitability mapping on the cloud: a geovisualization application for sustainable agriculture
title_full Crop climate suitability mapping on the cloud: a geovisualization application for sustainable agriculture
title_fullStr Crop climate suitability mapping on the cloud: a geovisualization application for sustainable agriculture
title_full_unstemmed Crop climate suitability mapping on the cloud: a geovisualization application for sustainable agriculture
title_short Crop climate suitability mapping on the cloud: a geovisualization application for sustainable agriculture
title_sort crop climate suitability mapping on the cloud: a geovisualization application for sustainable agriculture
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511951/
https://www.ncbi.nlm.nih.gov/pubmed/32968122
http://dx.doi.org/10.1038/s41598-020-72384-x
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