A database for global soil health assessment

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dc.contributor.authorJian, Jinshien
dc.contributor.authorDu, Xuanen
dc.contributor.authorStewart, Ryan D.en
dc.date.accessioned2020-05-26T16:21:58Zen
dc.date.available2020-05-26T16:21:58Zen
dc.date.issued2020-01-13en
dc.description.abstractField 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.en
dc.description.notesWe thank the anonymous reviewers and Paolo de Souza, Editorial Board Member, for their useful comments. This work is supported by the Natural Resources Conservation Service, U.S. Department of Agriculture, under NRCS Conservation Innovation Grant 69-3A75-14-260. Funding for this work was provided in part by the Virginia Agricultural Experiment Station and the Hatch Program of the National Institute of Food and Agriculture, U.S. Department of Agriculture. Jinshi Jian was partially supported by the U.S. Department of Energy, Office of Science, Biological and Environmental Research as part of the Terrestrial Ecosystem Sciences Program. Xuan Du was supported by the conservation management and soil erosion project funded by the Yangling Vocational & Technical College, grant number: A2019009. Publication fees were provided by the Virginia Tech Open Access Subvention Fund. We would also like to acknowledge Christopher Poeplau for providing tabulated data from an earlier meta-analysis. The code and the SoilHealthDB are available on figshare (https://doi.org/10.6084/m9.figshare.8292176.v8) and GitHub (https://github.com/jinshijian/SoilHealthDB); those items can be used for individual, academic, research, and commercial usage, and can be repackaged or sold without written permission.en
dc.description.sponsorshipNatural Resources Conservation Service, U.S. Department of Agriculture, under NRCS Conservation Innovation Grant [69-3A75-14-260]; Virginia Agricultural Experiment Station; Hatch Program of the National Institute of Food and Agriculture, U.S. Department of Agriculture; U.S. Department of Energy, Office of Science, Biological and Environmental Research as part of the Terrestrial Ecosystem Sciences ProgramUnited States Department of Energy (DOE); conservation management and soil erosion project - Yangling Vocational & Technical College [A2019009]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1038/s41597-020-0356-3en
dc.identifier.eissn2052-4463en
dc.identifier.issue1en
dc.identifier.pmid31932586en
dc.identifier.urihttp://hdl.handle.net/10919/98549en
dc.identifier.volume7en
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleA database for global soil health assessmenten
dc.title.serialScientific Dataen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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