Data, Methods, and Applications for Understanding Climate Impacts on Global Agriculture

Session ID#: 280673

Session Description:
The availability of accurate agricultural data at subnational scales is crucial for informing modern agricultural practices and policies, especially with respect to climate change. Though recent efforts have made substantial progress in harmonizing global agricultural statistics, data availability remains limited and quality is heterogeneous. In this session, we will bring together communities working to build, evaluate and apply agricultural datasets to better understand our global food system.

We welcome submissions broadly across two related areas: (1) agricultural datasets and methods for their development and (2) applications of new methods and datasets to understand agricultural systems and environmental change. (1) could include, for example, new datasets on crop yield, land use, irrigation, fertilizer or pesticides, or methods to assess data quality and consistency. (2) could include climate impact assessments, crop yield predictions, early warning systems, decision support systems, and related applications.

Co-Sponsor(s):
  • A - Atmospheric Sciences
  • B - Biogeosciences
  • SY - Science and Society
Index Terms:

0402 Agricultural systems [BIOGEOSCIENCES]
0434 Data sets [BIOGEOSCIENCES]
1640 Remote sensing [GLOBAL CHANGE]
3305 Climate change and variability [ATMOSPHERIC PROCESSES]
Primary Convener:  Michael Foley, Harvard University, Department of Earth and Planetary Sciences, Cambridge, MA, United States
Conveners:  Jonathan Proctor, University of British Columbia, Food and Resource Economics, Vancouver, BC, Canada, Donghoon Lee, University of Wisconsin Madison, Madison, United States; University of Manitoba, Department of Civil Engineering, Winnipeg, Canada and Peter J Huybers, Harvard University, Department of Earth and Planetary Sciences, Cambridge, MA, United States
See more of: Global Environmental Change
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