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

被引:53
作者
Haigh, Tonya [1 ]
Takle, Eugene [2 ]
Andresen, Jeffrey [3 ]
Widhalm, Melissa [4 ]
Carlton, J. Stuart [5 ]
Angel, Jim [6 ]
机构
[1] Univ Nebraska, Natl Drought Mitigat Ctr, 3310 Holdrege St, Lincoln, NE 68583 USA
[2] Iowa State Univ, 3013 Agron, Ames, IA 50011 USA
[3] Michigan State Univ, E Lansing, MI 48824 USA
[4] Purdue Univ, W Lafayette, IN 47907 USA
[5] Texas A&M Univ, Texas Sea Grant, Galveston, TX 77553 USA
[6] Univ Illinois, Illinois State Water Survey, Champaign, IL 61820 USA
基金
美国食品与农业研究所;
关键词
Decision calendar; Maps; Agriculture; Climate tools;
D O I
10.1016/j.crm.2015.01.004
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (C) 2015 The Authors. Published by Elsevier B.V.
引用
收藏
页码:20 / 30
页数:11
相关论文
共 48 条
[31]   The first decade of long-lead US seasonal forecasts - Insights from a skill analysis [J].
Livezey, Robert E. ;
Timofeyeva, Marina M. .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2008, 89 (06) :843-854
[32]  
Loy A., 2014, CROPPING SYSTEMS COO
[33]   Factors Influencing Skill Improvements in the ECMWF Forecasting System [J].
Magnusson, Linus ;
Kaellen, Erland .
MONTHLY WEATHER REVIEW, 2013, 141 (09) :3142-3153
[34]   Unrealized Potential: A Review of Perceptions and Use of Weather and Climate Information in Agricultural Decision Making [J].
Mase, Amber Saylor ;
Prokopy, Linda Stalker .
WEATHER CLIMATE AND SOCIETY, 2014, 6 (01) :47-61
[35]   Seasonal and inter-annual climate forecasting: The new tool for increasing preparedness to climate variability and change in agricultural planning and operations [J].
Meinke, H ;
Stone, R .
CLIMATIC CHANGE, 2005, 70 (1-2) :221-253
[36]  
Melillo Jerry M., 2014, 3 NATL COMMUNICATION
[37]  
Mjelde J.W., 1986, ISWS MISCELLANEOUS P, VMP-91
[38]   Impacts of present and future climate change and climate variability on agriculture in the temperate regions: North America [J].
Motha, RP ;
Baier, W .
CLIMATIC CHANGE, 2005, 70 (1-2) :137-164
[39]   Climate extremes and adaptive management on the Colorado River: Lessons from the 1997-1998 ENSO event [J].
Pulwarty, RS ;
Melis, TS .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2001, 63 (03) :307-324
[40]   Prospects for Dynamical Prediction of Meteorological Drought [J].
Quan, Xiao-Wei ;
Hoerling, Martin P. ;
Lyon, Bradfield ;
Kumar, Arun ;
Bell, Michael A. ;
Tippett, Michael K. ;
Wang, Hui .
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2012, 51 (07) :1238-1252