Robust spatial frameworks for leveraging research on sustainable crop intensification

dc.contributor.author Grassini, Patricio
dc.contributor.author Pittelkow, Cameron
dc.contributor.author Cassman, Kenneth
dc.contributor.author Licht, Mark
dc.contributor.author Yang, Haishun
dc.contributor.author Archontoulis, Sotirios
dc.contributor.author Lamkey, Kendall
dc.contributor.author Ciampitti, Ignacio
dc.contributor.author Coulter, Jeffrey
dc.contributor.author Brouder, Sylvie
dc.contributor.author Volenec, Jeffrey
dc.contributor.author Guindin-Garcia, Noemi
dc.contributor.department Department of Agronomy
dc.date 2018-02-19T00:02:14.000
dc.date.accessioned 2020-06-29T23:03:28Z
dc.date.available 2020-06-29T23:03:28Z
dc.date.issued 2017-09-01
dc.description.abstract <p>Meeting demand for <a href="http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/dietary-fiber" title="Learn more about Dietary fiber">food, fiber</a>, feed, and fuel in a world with 9.7 billion people by 2050 without negative environmental impact is the greatest scientific challenge facing humanity. We hypothesize that this challenge can only be met with current and emerging technologies if guided by proactive use of a broad array of relevant data and geospatial scaling approaches to ensure local to global relevance for setting research priorities and implementing agricultural systems responsive to real-time status of weather, soils, crops, and markets. Despite increasing availability of field-scale agricultural data, robust spatial frameworks are lacking to convert these data into actionable knowledge. This commentary article highlights this knowledge gap and calls attention to the need for developing robust spatial frameworks that allow appropriate scaling to larger spatial domains by discussing a recently developed example of a data-driven strategy for estimating yield gaps of agricultural systems. To fully leverage research on sustainable intensification of <a href="http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/cropping-system" title="Learn more about Cropping system">cropping systems</a> and inform policy development at different scales, we call for new approaches combining the strengths of top-down and bottom-up approaches which will require coordinated efforts between field scientists, crop modelers, and geospatial researchers at an unprecedented level.</p>
dc.description.comments <p>This article is published as Grassini, Patricio, Cameron M. Pittelkow, Kenneth G. Cassman, Haishun S. Yang, Sotirios Archontoulis, Mark Licht, Kendall R. Lamkey et al. "Robust spatial frameworks for leveraging research on sustainable crop intensification." Global Food Security (2017). <a href="http://dx.doi.org/10.1016" target="_blank">10.1016/j.gfs.2017.01.002</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/agron_pubs/217/
dc.identifier.articleid 1219
dc.identifier.contextkey 10921642
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath agron_pubs/217
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/4552
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/agron_pubs/217/2017_Lamkey_RobustSpatial.pdf|||Fri Jan 14 22:38:45 UTC 2022
dc.source.uri 10.1016/j.gfs.2017.01.002
dc.subject.disciplines Agricultural Economics
dc.subject.disciplines Agricultural Science
dc.subject.disciplines Agronomy and Crop Sciences
dc.subject.keywords Spatial framework
dc.subject.keywords agricultural data
dc.subject.keywords Productivity
dc.subject.keywords Sustainability
dc.subject.keywords Crop intensification
dc.subject.keywords Crop system
dc.title Robust spatial frameworks for leveraging research on sustainable crop intensification
dc.type article
dc.type.genre article
dspace.entity.type Publication
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relation.isOrgUnitOfPublication fdd5c06c-bdbe-469c-a38e-51e664fece7a
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