Mapping the decision points and climate information use of agricultural producers across the U.S. Corn Belt

dc.contributor.author Haigh, Tonya
dc.contributor.author Takle, Eugene
dc.contributor.author Andresen, Jeffrey
dc.contributor.author Widhalm, Melissa
dc.contributor.author Carlton, J.
dc.contributor.author Angel, Jim
dc.contributor.department Department of Aerospace Engineering
dc.contributor.department Ames National Laboratory
dc.contributor.department Department of Agronomy
dc.contributor.department Department of the Earth, Atmosphere, and Climate
dc.date 2018-02-18T10:12:43.000
dc.date.accessioned 2020-06-29T23:02:45Z
dc.date.available 2020-06-29T23:02:45Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2015
dc.date.issued 2015-01-01
dc.description.abstract <p>The usefulness of climate information for agricultural risk management hinges on its availability and relevance to the producer when climate-sensitive decisions are being made. Climate information providers are challenged with the task of balancing forecast availability and lead time with acceptable forecast skill, which requires an improved understanding of the timing of agricultural decision making. Achieving a useful balance may also require an expansion of inquiry to include use of non-forecast climate information (i.e. historical climate information) in agricultural decision making. Decision calendars have proven valuable for identifying opportunities for using different types of climate information. The extent to which decision-making time periods are localized versus generalized across major commodity-producing regions is yet unknown, though, which has limited their use in climate product development. Based on a 2012 survey of more than 4770 agricultural producers across the U.S. Corn Belt region, we found variation in the timing of decision-making points in the crop year based on geographic variation as well as crop management differences. Many key decisions in the cropping year take place during the preceding fall and winter, months before planting, raising questions about types of climate information that might be best inserted into risk management decisions at that time. We found that historical climate information and long term climate outlooks are less influential in agricultural risk management than current weather, short term forecasts, or monthly climate projections, even though they may, in fact, be more useful to certain types of decision making.</p>
dc.description.comments <p>This article is from <em>Climate Risk Management </em>7 (2015): 20, doi:<a href="http://dx.doi.org/10.1016/j.crm.2015.01.004" target="_blank">10.1016/j.crm.2015.01.004</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/agron_pubs/126/
dc.identifier.articleid 1126
dc.identifier.contextkey 10139240
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath agron_pubs/126
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/4451
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/agron_pubs/126/2015_Takle_MappingDecision.pdf|||Fri Jan 14 19:25:33 UTC 2022
dc.source.uri 10.1016/j.crm.2015.01.004
dc.subject.disciplines Agricultural Economics
dc.subject.disciplines Agronomy and Crop Sciences
dc.subject.disciplines Atmospheric Sciences
dc.subject.disciplines Climate
dc.subject.keywords Decision calendar
dc.subject.keywords Maps
dc.subject.keywords Agriculture
dc.subject.keywords Climate tools
dc.title Mapping the decision points and climate information use of agricultural producers across the U.S. Corn Belt
dc.type article
dc.type.genre article
dspace.entity.type Publication
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