GC51J:
Toward Better Understanding of the Impacts of Climate Variability: From Ecosystem Processes to Agricultural Adaptation and Decision Making I


Session ID#: 9805

Session Description:
Climate variability challenges agricultural production, particularly in developing countries. Agricultural resilience requires understanding the impacts of climate variability AND the dynamics of farmer adaptation.  Seasonal climate forecasting allows models to predict yields and to explore adaptation strategies, but the challenge lies in translating low-to-moderate skill climate information into useful information for farmers. How will farmers use that information, and how will agro-ecological and socio-economic contexts affect decisions under climate variability?  Can in-situ data and remote sensing (UAV, satellite), improve the quality of information on agro-ecological impacts? How do agent-based models and other tools combine with these bio-physical tools to understand the dynamics of farmer adaptation? We seek conceptual, evidence-based research, and case studies on: 1) linking multi-scale climate and RS/environmental information to improve decision support in agriculture; 2) characterizing climate variability and its agro-ecological impacts, 3) how farmer adaptation varies across systems; and 4) attributing farmer decisions to climate variability.
Primary Convener:  Lyndon D Estes, Princeton University, Princeton, NJ, United States
Conveners:  Amor V M Ines1, Jeff Atkins2 and Erin Swails2, (1)Michigan State University, Departments of Plant, Soil and Micriobial Sciences, and Biosystems and Agricultural Engineering, East Lansing, MI, United States(2)University of Virginia Main Campus, Charlottesville, VA, United States
Chairs:  Lyndon D Estes, Princeton University, Princeton, NJ, United States and Amor Ines, Michigan State University, Departments of Plant, Soil and Micriobial Sciences, and Biosystems and Agricultural Engineering, East Lansing, MI, United States
OSPA Liaison:  Lyndon D Estes, Princeton University, Princeton, NJ, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • H - Hydrology
  • IN - Earth and Space Science Informatics
  • SI - Societal Impacts and Policy Sciences
Index Terms:

1616 Climate variability [GLOBAL CHANGE]
1630 Impacts of global change [GLOBAL CHANGE]
1910 Data assimilation, integration and fusion [INFORMATICS]
1918 Decision analysis [INFORMATICS]

Abstracts Submitted to this Session:

Climatic Changes and Evaluation of Their Effects on Agriculture in Asian Monsoon Region- A project of GRENE-ei programs in Japan (Invited) (64412)
Masaru Mizoguchi1, Jun Matsumoto2, Hiroshi G Takahashi2, Kei Tanaka3 and Tsuneo Kuwagata4, (1)University of Tokyo, Bunkyo-ku, Japan, (2)Tokyo Metropolitan University, Tokyo, Japan, (3)NARO National Agriculture and Food Research Organization, Ibaraki, Japan, (4)NARO National Agriculture and Food Research Organization, Tsukuba, Japan
A systems approach to identify adaptation strategies for Midwest US cropping systems under increased climate variability and change. (Invited) (75586)
Bruno Basso, Michigan State University, Department of Earth and Environmental Sciences, East Lansing, MI, United States and Benjamin Dumont, Michigan State University, East Lansing, MI, United States
Information content of downscaled GCM precipitation variables for crop simulations (75293)
Amor V M Ines, Michigan State University, Departments of Plant, Soil and Micriobial Sciences, and Biosystems and Agricultural Engineering, East Lansing, MI, United States and Ashok K Mishra, Clemson University, Clemson, United States
Agriculture Information Service Built on Interoperable Sensor Network (80883)
Kiyoshi Honda, Chubu University, Kasugai, Japan, Amor Ines, Michigan State University, Departments of Plant, Soil and Micriobial Sciences, and Biosystems and Agricultural Engineering, East Lansing, MI, United States, Dr. Eunjin Han, Ph.D., USDA ARS, Adaptive Cropping Systems Laboratory, Beltsville, United States and Takashi Seshimo, IHI Corporation, Tokyo, Japan
Light- and water-use efficiency model synergy: a revised look at crop yield estimation for agricultural decision-making (69327)
Michael Marshall, World Agroforestry Centre (ICRAF), Nairobi, Kenya and Kevin P Tu, Theiss Research, La Jolla, United States
Farmer Decision-Making for Climate Adaptation (Invited) (84822)
Mark Lubell1, Meredith Niles2 and Jonathon Salerno1, (1)University of California Davis, Davis, CA, United States, (2)University of Vermont, Department of Nutrition and Food Sciences and Food Systems Program, Burlington, United States
New Approaches to Capture High Frequency Agricultural Dynamics in Africa through Mobile Phones (Invited) (81902)
Tom P Evans1, Shahzeen Attari2, Beth A Plale2, Kelly K Caylor3, Lyndon D Estes4 and Justin Sheffield3, (1)University of Arizona, Tucson, AZ, United States, (2)Indiana University Bloomington, Bloomington, IN, United States, (3)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (4)Princeton University, Princeton, NJ, United States
Impacts of intra-seasonal agricultural decision-making and forecast information on maize production in Zambia (81037)
Lyndon D Estes1, Di Tian2, Tom P Evans3, Kelly K Caylor2, Justin Sheffield4 and Eric F Wood4, (1)Princeton University, Princeton, NJ, United States, (2)Auburn University, Department of Crop, Soil & Environmental Sciences, Auburn, United States, (3)Indiana University Bloomington, Center for the Study of Institutions, Populations, and Environmental Change (CIPEC) and Department of Geography, Bloomington, IN, United States, (4)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States

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