GC33C:
Toward Better Understanding of the Impacts of Climate Variability: From Ecosystem Processes to Agricultural Adaptation and Decision II Posters

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Session ID#: 27016

Session Description:
Climate variability (CV) is a critical driver of year-to-year impacts on both managed and unmanaged ecosystems. To properly understand its ecological impacts, it’s necessary to quantify how ecosystems have historically responded to climate variability, and to characterize the uncertainty in projected impacts. In agricultural systems, assessing impacts of climate variability also requires understanding dynamics of farmer adaptation and decision-making. Here we seek new efforts to quantify both historical and future impacts of CV on unmanaged ecosystems and agriculture, the most extensive managed ecosystem: i) empirical/process-based methods for estimating CV impacts to ecosystems across multiple spatio-temporal scales; ii) identifying key sources of CV and methodological factors leading to uncertainty and their related impacts; iii) new CV forecasting methods at relevant scales for understanding ecosystem response; iv) translating forecasts into useful decision support for natural resource managers and farmers; v) attributing farmer responses to CV with respect to socioeconomic and ecological circumstances.
Primary Convener:  Amor V M Ines, Michigan State University, Department of Plant, Soil and Microbial Sciences, East Lansing, MI, United States
Conveners:  Sharon Gourdji, National Institute of Standards and Technology Gaithersburg, Gaithersburg, MD, United States and Jeff Atkins, Virginia Commonwealth University, Biology, Richmond, United States
Chairs:  Sharon Gourdji, National Institute of Standards and Technology Gaithersburg, Gaithersburg, MD, United States and Jeff Atkins, University of Virginia, Charlottesville, VA, United States
OSPA Liaison:  Sharon Gourdji, National Institute of Standards and Technology Gaithersburg, Gaithersburg, MD, 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]
1640 Remote sensing [GLOBAL CHANGE]
3337 Global climate models [ATMOSPHERIC PROCESSES]
6309 Decision making under uncertainty [POLICY SCIENCES]

Abstracts Submitted to this Session:

Atul Saini, Delhi school of climate change and sustainability, Institution of Eminence, University of Delhi, Delhi, India
Yi Zhao, Princeton University, Princeton, NJ, United States, Lyndon D Estes, Clark University, Graduate School of Geography, Worcester, MA, United States and Dr. Noemi Vergopolan, Federal University of Parana, Environmental Engineering, Curitiba, Brazil
Aparna Radhakrishnan and Jancy Gupta, National Dairy Research Institute, Trivandrum, India
Qiong Su, Texas A&M University College Station, Water Management & Hydrological Science, College Station, TX, United States, R Karthikeyan, Texas A & M, College Station, TX, United States and Yun Lin, Texas A & M University, College Station, TX, United States
Alex Zizinga, Makerere University, Kampala, Uganda
Kwang-Hyung Kim1, Seongkyu Lee1, Dr. Eunjin Han, Ph.D.2 and Amor V M Ines3, (1)APEC Climate Center, Busan, South Korea, (2)USDA ARS, Adaptive Cropping Systems Laboratory, Beltsville, United States, (3)Michigan State University, Dept of Plant, Soil and Microbial Sciences, East Lansing, MI, United States
Wonsik Kim, Toshichika Iizumi and Motoki Nishimori, NIAES-NARO, Tsukuba, Japan
Shinwoo Hyun1, Deokhwan Choi2 and Beomseok Seo2, (1)Seoul National University, Department of plant science, Seoul, Korea, Republic of (South), (2)Seoul National University, Department of plant science, Seoul, South Korea
Amor V M Ines, Michigan State University, Department of Plant, Soil and Microbial Sciences, East Lansing, MI, United States, Dr. Eunjin Han, Ph.D., USDA ARS, Adaptive Cropping Systems Laboratory, Beltsville, United States and Walter Baethgen, International Research Institute for Climate and Society, Columbia University, Palisades, NY, United States
Mamta Rana, Ministry of Earth Sciences India, New Delhi, India, Kamlesh Kumar Singh, India Meteorological Dept, Agromet Advisory Services Division, New Delhi, NE, India and Nisha Kumari, Deenbandhu Chhotu Ram University of Science & Technology,Murthal, Centre of Excellence for Energy and Environmental Studies, Sonipat, India
Morteza Mesbah, Agriculture & Agri-Food Canada, Charlottetown, PE, Canada, Elizabeth Pattey, Agriculture & Agri-Food Canada, Science and Technology Branch, Ottawa, ON, Canada, Guillaume Jégo, Agriculture and Agri-Food Canada, Quebec Research and Development Centre, Quebec City, QC, Canada, Xiaoyuan Geng, Agriculture and Agri-Food Canada, Ottawa, Canada, Nicolas Tremblay, Agriculture and Agri-Food Canada, Saint-Jean-sur-Richelieu, Canada and Anne Didier, NA, Reims, France
Peng Zhu, University of California, San Diego, La Jolla, CA, United States, Qianlai Zhuang, Purdue University, Department of Earth, Atmospheric, and Planetary Sciences, West Lafayette, United States and Zhenong Jin, Peking University, The Institute of Ecology, College of Urban and Environmental Science, Beijing, China
Jessie George, University of California Los Angeles, Los Angeles, CA, United States and Glen M MacDonald, University of California Los Angeles, Los Angeles, United States
Sandeep Mahato, M. S. Swaminathan Research Foundation, Chennai, India, Kamal Kumar Murari, IITB-Monash Research Academy, Powai, India and Thiagarajan Jayaraman, Tata Institute of Social Sciences, School of Habitat Studies, Mumbai, India