GC037
Data and Methods for Understanding Effects of Climate Change on Global Agriculture
Session ID#: 249732
Session Description:
The availability of accurate agricultural data at subnational scales is crucial for purposes of informing modern agricultural practices and policies, especially with respect to climate change. However, the current landscape of such data is highly fragmented across different regions of the world, though recent efforts have made significant progress in harmonizing global agricultural data. Through this session, we will bring together communities focused on innovations in data collection, validation, and applications for agricultural systems.We welcome submissions in three related areas: (1) agricultural datasets such as yield, land use, irrigation, fertilizer or pesticides; (2) methods for agricultural dataset creation including remote sensing measurement methods, approaches to determine the quality of reported measures, or methods for standardizing temporally or spatially variable units; and (3) applications of new methods, examination of new datasets, and new insights into the effects of climate or other environmental changes on agricultural systems.
Co-Sponsor(s):
Index Terms:
0402 Agricultural systems [BIOGEOSCIENCES]
0434 Data sets [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
1630 Impacts of global change [GLOBAL CHANGE]
Primary Convener: Michael Foley, Harvard University, Department of Earth and Planetary Sciences, Cambridge, MA, United States
Conveners: Peter J Huybers, Harvard University, Department of Earth and Planetary Sciences, Cambridge, MA, United States, Deepak K Ray, University of Minnesota, Institute on the Environment, Saint Paul, United States and Jonathan Proctor, University of British Columbia, Vancouver, Canada
Global Cropland is Now Shifting Towards Arid and Tropical Climates (1874249)
Lun Gao, University of Minnesota Twin Cities, Institute on the Environment, Saint Paul, United States, Xiaoman Lu, Oak Ridge National Laboratory, Oak Ridge, United States, Weston B Anderson, University of Maryland, College Park, Geographical Sciences, College Park, United States, Corey S. Lesk, Elise Mazur, World Resources Institute, Washington DC, United States, Fred Stolle, World Resources Institute, Land & Carbon Lab, Washington DC, United States, Jiafu Mao, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States, Liangzhi You, International Food Policy Research Institute, Dakar, Senegal and Deepak K Ray, University of Minnesota, Institute on the Environment, Saint Paul, United States
Amplified agricultural impacts from increasingly sequential heat events (1881919)
Corey Samuel Lesk, University of Quebec at Montreal UQAM, Montreal, QC, Canada; Dartmouth College, Department of Geography, Neukom Institute for Computational Science, Hanover, United States, Carmen B Steinmann, ETH Zurich, Institute for Environmental Decisions, Zurich, Switzerland, Raed Hamed, Vrije Universiteit Amsterdam, Amsterdam, Netherlands, Qiyun Ma, Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research, Bremerhaven, Germany, Ellie Broadman, USGS Western Regional Offices Menlo Park, Menlo Park, United States, Daniel Balanzategui, Technische Hochschule Lübeck, Lübeck, Germany and Kai Kornhuber, Lamont-Doherty Earth Observatory, Columbia University, Palisades, United States
Quantifying Weather, Policy, and Technological Impacts on U.S. Crop Productivity: A Spatiotemporal Framework Using Machine Learning and Multiscale Datasets (1896673)
You Wu, University of Maryland College Park, Earth System Science Interdisciplinary Center, College Park, United States, Zhibin Sun, Nanjing Normal University, School of Mathematical Sciences, Nanjing, China, Chaoshun Liu, Key Laboratory of Geographic Information Science, Ministry of Education, East China University, Shanghai, China, Yixin Wang, University of Maryland College Park, Department of Atmospheric and Oceanic Science, College Park, United States, Xin-Zhong Liang, University of Maryland, College Park, Department of Atmospheric and Oceanic Science & Earth System Science Interdisciplinary Center, College Park, United States and Wei Gao, Colorado State University, UV-B Monitoring and Research Program, Natural Resource Ecology Laboratory, Fort Collins, United States
Modeling Subnational Crop Yields in Data-Sparse Contexts: A Case Study from Zambia (1896853)
Colleen Henegan, University of Wisconsin Madison, Madison, WI, United States, Brad G. Peter, The University of Arkansas, Department of Geosciences, Fayetteville, United States, Lillian Myzece, University of Zambia, Computer Science, Lusaka, Zambia and Christopher J Kucharik, University of Wisconsin Madison, Plant and Agroecosystem Sciences, Madison, United States
Understanding ENSO’s Influence on Co-occurring Heat Events across Global Croplands (1903401)
Madhulika Gurazada, University of California Merced, Merced, CA, United States, John T Abatzoglou, University of California Merced, Sierra Nevada Research Institute, Merced, United States and Deepti Singh, Washington State University, School of the Environment, Vancouver, United States
Socio-environmental Drivers of Small-Scale Farmers’ Planting Date Decisions in sub-Saharan Africa (1910339)
Natasha Krell1, Sophia Millay1,2, Jessica Marter-Kenyon3, Laura Harrison4 and Barnali Das4, (1)MIT Lincoln Laboratory, Lexington, United States, (2)Harvard University, Cambridge, United States, (3)University of Georgia, Athens, United States, (4)University of California Santa Barbara, Climate Hazards Center, Geography Department, Santa Barbara, CA, United States
Enhancing crop yield prediction through sub-grid mapping of C3/C4 solar-induced chlorophyll fluorescence (SIF) with deep learning (1914219)
Zhenqi Luo, Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, NY, United States, OZ Kira, Ben-Gurion University of the Negev, Beer Sheva, Israel and Ying Sun, Cornell University, School of Integrative Plant Science, Ithaca, United States
Modeling Future Extreme Weather Impacts on U.S. Maize and Soybean Yields Using Machine Learning (1915335)
Dong Chen, University of Maryland College Park, College Park, MD, United States, Michael Laurence Humber, University of Maryland College Park, Geographical Sciences, College Park, MD, United States, Kara Mobley, University of Maryland College Park, College Park, United States and Tatiana V Loboda, University of Maryland, College Park, United States
Observational estimates of increasing maize yield variance due to climate change (Invited) (1921766)
Weston B Anderson1, Inbal Becker-Reshef2, Kyle Frankel Davis3, Steffen Ehrmann4, Rafaela Flach5, Donghoon Lee6, Carsten Meyer4, Jonathan Proctor7, Deepak K Ray8 and Liangzhi You9, (1)University of Maryland College Park, Earth System Science Interdisciplinary Center, College Park, United States, (2)University of Maryland, Department of Geographical Sciences, College Park, United States, (3)University of Delaware, Geography & Spatial Sciences, Newark, DE, United States, (4)German Centre for Integrative Biodiversity Research (iDiv), Macroecology & Society, Leipzig, Germany, (5)Stockholm Environment Institute, Stockholm, Sweden, (6)University of Wisconsin Madison, Madison, United States, (7)Harvard University, Center for the Environment, Cambridge, United States, (8)University of Minnesota, Institute on the Environment, Saint Paul, United States, (9)International Food Policy Research Institute, Dakar, Senegal
Harnessing Process-Based Modeling and AI for Climate-Smart Tomato Yield Management in Central India (1942684)
Pashupati Nath Singh1,2, Prashant Kumar Srivastava2, Rajesh Mall3 and Prashant K Srivastava, (1)Varanasi, Uttar Pradesh, INDIA, (2)Banaras Hindu University, Institute of Environment & Sustainable Development, Varanasi, India, (3)Banaras Hindu University, DST-Mahamana Centre of Excellence in Climate Change Research, Institute of Environment and Sustainable Development, Varanasi, India
Soil Moisture Downscaling and Agricultural Drought Assessment in a Vulnerable Indian Region (1944061)
Harshita Rani Ahirwar, Banaras Hindu University, Department of Farm Engineering, Varanasi, 221, India, Manish Kumar Nema, National Institute of Hydrology, Roorkee, India and Anupam Kumar Nema, Banaras Hindu University, Farm Engineering, Varanasi, India
Downscaling Agricultural Vulnerability: A Gridded Approach to Linking Climate Drivers with Crop Insurance Loss Ratios (1944599)
Emine Senkardesler, University of Illinois at Urbana-Champaign, Informatics, Urbana, United States, Nicolas Martin, University of Illinois at Urbana Champaign, Crop Sciences, Urbana, IL, United States and Elhan Ersoz, University of Illinois at Urbana Champaign, Crop Science, Urbana, United States
Drought Monitoring through Composite Drought Index over the Bundelkhand Region (1945129)
Harshita Rani Ahirwar, Banaras Hindu University, Department of Farm Engineering, Varanasi, 221, India, Prakhar Pandey, Maharana Pratap University of Agriculture and Technology, Udaipur, India and Manish Kumar Nema, National Institute of Hydrology, Roorkee, India
The Lasting Impacts of Typhoons on Provincial Agriculture Industries in the Philippines (1951126)
Luke Tan1, Michael Foley2 and Peter J Huybers2, (1)Harvard University, Department of Earth and Planetary Sciences, Cambridge, United States, (2)Harvard University, Department of Earth and Planetary Sciences, Cambridge, MA, United States
Improving the Quantification of Nitrogen Use Across Spatial and System Scales (Invited) (1952953)
Xin Zhang1, Dong Liang2, Andrew Elmore1, Adrian Collins3, Graham MacDonald4, Tan Zou1, Yanyu Wang1, Chun Dai1, Jun Suk Byun1, Sarah M Garvey, Ph.D.5, Matthew Houser6, Eric A Davidson5 and Claudia Wagner-Riddle7, (1)University of Maryland Center for Environmental Science Appalachian Laboratory, Frostburg, United States, (2)University of Maryland Center for Environmental Science, Chesapeake Biological Laboratory, Solomons, United States, (3)Rothamsted Research, Okehampton, United Kingdom, (4)McGill University, Department of Geography, Montreal, QC, Canada, (5)University of Maryland Center for Environmental Science Appalachian Laboratory, Frostburg, MD, United States, (6)University of Maryland Center for Environmental Science Horn Point Laboratory, Cambridge, United States, (7)University of Guelph, School of Environmental Sciences, Guelph, ON, Canada
Subnational Agricultural Data Integration and Yield Response Analysis in Thailand (1980–2024): A Framework for Climate Impact Assessment and Policy Planning (1954932)
Guangming Zhao1, Jonathan Proctor2, Michael Foley3, Teah Elaschuk2, Caro Park4 and Peter J Huybers3, (1)University of British Columbia, Vancouver, BC, Canada, (2)University of British Columbia, Vancouver, Canada, (3)Harvard University, Department of Earth and Planetary Sciences, Cambridge, MA, United States, (4)Harvard University, Cambridge, United States
Revealing Regional Variation in Climate-Crop Interactions Through Novel Subnational Data in Vietnam (1966227)
Shreya Gandhi1, Michael Foley2 and Peter J Huybers2, (1)Dartmouth College, Hanover, NH, United States, (2)Harvard University, Department of Earth and Planetary Sciences, Cambridge, MA, United States
Analyzing rice-wheat cropping systems in Eastern India using remote sensing dataset and deep learning methods (1978482)
Deepa Rangarajan1, Andrew James McDonald1, Hari Shankar Nayak1, Kade Keranen2 and Ying Sun1, (1)Cornell University, School of Integrative Plant Science, Ithaca, United States, (2)Cornell University, Department of Natural Resources and the Environment, Ithaca, United States
Climate Change Increases the Reliance of U.S. Corn on Irrigation (1979785)
Chunmeng Wang, Dartmouth College, Department of Geography, Hanover, NH, United States, Jonathan Winter, Dartmouth College, Department of Geography, Hanover, United States, Anthony D Kendall, Michigan State University, Department of Earth and Environmental Sciences, East Lansing, MI, United States and Samuel Smidt, American Farmland Trust, Washington, D.C., United States
Climate Change Impacts on Crop Pattern: A Case Study of Pakistan (1988182)
Abid Nazir1, Awais Ahmad2, Shumaila Nazir2, Shahid Tarar3, Hammad Gilani4 and Niall P Hanan5, (1)New Mexico State University Main Campus, Las Cruces, NM, United States, (2)Kashtkaar Pakistan, Remote Sensing, Lahore, Pakistan, (3)Kashtkaar Pakistan, Sustainable Agriculture, Lahore, Pakistan, (4)New Mexico State University Main Campus, Las Cruces, United States, (5)New Mexico State University Main Campus, Department of Plant and Environmental Sciences, Las Cruces, United States
Growing Resilient Agroecosystems: Diversified Crop Rotations as a Climate Change Adaptation Strategy (1988407)
Sydney Kennedy1, Gregg Johnson2, Samantha Wells1, R Ford Denison3, Jeffrey Strock4 and Axel Garcia y Garcia5, (1)University of Minnesota, Department of Agronomy and Plant Genetics, St. Paul, United States, (2)University of Minnesota, Department of Agronomy and Plant Genetics, Waseca, United States, (3)University of Minnesota, Department of Ecology, Evolution and Behavior, Minneapolis, United States, (4)University of Minnesota, Department of Soil, Water, and Climate, Minneapolis, United States, (5)University of Minnesota, Department of Agronomy and Plant Genetics, Lamberton, United States
Evaluating Climate Change Impacts on African Opportunity Crops Using Regional Simulation Data (1989179)
Jonas Jägermeyr1, Jose Guarin2, Meijian Yang3, Dilys MacCarthy4, Kevin Karl5, Alexander C Ruane6, Andres Castellano2, Bright Freduah4, Gershom Wesley4, Stephen Narh4, Elena Mendez Leal7 and Cynthia Rosenzweig8, (1)Columbia University of New York, NYC, United States, (2)NASA Goddard Institute for Space Studies, New York, United States, (3)Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, United States, (4)University of Ghana, Soil and Irrigation Research Centre, Kpong, Ghana, (5)Columbia University of New York, Center for Climate Systems Research, New York, United States, (6)NASA Goddard Institute for Space Studies, New York, NY, United States, (7)Columbia University of New York, New York, United States, (8)NASA Goddard Institute for Space Studies, New York City, United States
Soil temperature dataset for Brazil under historical and future pathways (2002233)
Jullian Souza Sone1, Bruna Aguiar2, Dimaghi Schwamback2, Abderraman ROGER DE AMORIM Brandão3, Andre Ballarin2 and Edson Wendland2, (1)University of Waterloo, Department of Economics, Waterloo, ON, Canada, (2)São Carlos School of Engineering, University of São Paulo, Department of Hydraulics and Sanitation, São Carlos, Brazil, (3)University of Sao Paulo, Hydraulics and Sanitation Engineering, Sao Carlos, Brazil
