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A database for global soil health assessment

Field studies have been performed for decades to analyze effects of different management practices on agricultural soils and crop yields, but these data have never been combined together in a way that can inform current and future cropland management. Here, we collected, extracted, and integrated a...

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Detalles Bibliográficos
Autores principales: Jian, Jinshi, Du, Xuan, Stewart, Ryan D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6957678/
https://www.ncbi.nlm.nih.gov/pubmed/31932586
http://dx.doi.org/10.1038/s41597-020-0356-3
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author Jian, Jinshi
Du, Xuan
Stewart, Ryan D.
author_facet Jian, Jinshi
Du, Xuan
Stewart, Ryan D.
author_sort Jian, Jinshi
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description Field studies have been performed for decades to analyze effects of different management practices on agricultural soils and crop yields, but these data have never been combined together in a way that can inform current and future cropland management. Here, we collected, extracted, and integrated a database of soil health measurements conducted in the field from sites across the globe. The database, named SoilHealthDB, currently focuses on four main conservation management methods: cover crops, no-tillage, agro-forestry systems, and organic farming. These studies represent 354 geographic sites (i.e., locations with unique latitudes and longitudes) in 42 countries around the world. The SoilHealthDB includes 42 soil health indicators and 46 background indicators that describe factors such as climate, elevation, and soil type. A primary goal of this effort is to enable the research community to perform comprehensive analyses, e.g., meta-analyses, of soil health changes related to cropland conservation management. The database also provides a common framework for sharing soil health, and the scientific research community is encouraged to contribute their own measurements.
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spelling pubmed-69576782020-01-22 A database for global soil health assessment Jian, Jinshi Du, Xuan Stewart, Ryan D. Sci Data Data Descriptor Field studies have been performed for decades to analyze effects of different management practices on agricultural soils and crop yields, but these data have never been combined together in a way that can inform current and future cropland management. Here, we collected, extracted, and integrated a database of soil health measurements conducted in the field from sites across the globe. The database, named SoilHealthDB, currently focuses on four main conservation management methods: cover crops, no-tillage, agro-forestry systems, and organic farming. These studies represent 354 geographic sites (i.e., locations with unique latitudes and longitudes) in 42 countries around the world. The SoilHealthDB includes 42 soil health indicators and 46 background indicators that describe factors such as climate, elevation, and soil type. A primary goal of this effort is to enable the research community to perform comprehensive analyses, e.g., meta-analyses, of soil health changes related to cropland conservation management. The database also provides a common framework for sharing soil health, and the scientific research community is encouraged to contribute their own measurements. Nature Publishing Group UK 2020-01-13 /pmc/articles/PMC6957678/ /pubmed/31932586 http://dx.doi.org/10.1038/s41597-020-0356-3 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/. 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
Jian, Jinshi
Du, Xuan
Stewart, Ryan D.
A database for global soil health assessment
title A database for global soil health assessment
title_full A database for global soil health assessment
title_fullStr A database for global soil health assessment
title_full_unstemmed A database for global soil health assessment
title_short A database for global soil health assessment
title_sort database for global soil health assessment
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6957678/
https://www.ncbi.nlm.nih.gov/pubmed/31932586
http://dx.doi.org/10.1038/s41597-020-0356-3
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