Abstract
The response of the agro-ecological system to the environment includes the response of individual crop’s physiologic process and the adaption of the crop community to the environment. Observation and simulation at the single scale level cannot fully explain the above process. It is necessary to develop cross-scale agro-ecological models and study the interaction of agro-ecological processes across different scales. In this research, two typical agroecological models, the Decision Support System for Agrotechnology Transfer (DSSAT) model and the Agroecological Zone (AEZ) model, are employed, and a framework for effective cross-scale data-model fusion is proposed and illustrated. The national observed data from 36 different agricultural observation stations and historical weather stations (1962–1999) are employed to estimate average crop productivity. Comparison of the two models’ estimations are consistent, which would indicate the possibility ofcross-scale crop model fusion.
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Zhan Tian obtained Ph.D. in Global Change and Geographic Information Science from Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Science (CAS), Beijing, China in 2006. His major study fields are Global Climate Change and Its Impact on Chinese Agriculture. He is the HEAD of climate change division since 2008 in Shanghai Climate Center (SCC), Shanghai, China. His major interested fields including climate change, model integration and fusion, applied multi-criteria decision analysis. Dr. Tian won the 2005 International Institute for Applied Systems Analysis (IIASA), Young Scientists Summer Program (YSSP) fellowship, and held a post-doctor position there from March to August in 2007. He had been published more than 20 peer reviewed journal articles and conference papers.
Honglin Zhong graduated from East China Normal University (ECNU), Shanghai, China, and received B.S. degree in Environmental Remote Sensing in 2011. His major study fields are Geography Information System and Remote Sensing. He is a RESEARCH ASSISTANT in SCC, Shanghai, China, major interested areas are climate change, remote sensing data assimilation and crop modeling. Mr. Zhong won the 2011 IIASA YSSP fellowship and received IIASA Peccei Scholarship.
Runhe Shi obtained his Ph.D. in Cartography and Geographic Information Science from IGSNRR, CAS, Beijing, China in 2006. His major study fields are environmental remote sensing and Geographic Information System development. He is the VICE PROFESSOR of the Key Laboratory of Geographic Information Science, Ministry of Education, ECNU, Shanghai, China. His primary areas of research are quantitative remote sensing retrieve algorithm including plant biochemistry, greenhouse gases and particulate matters in the atmosphere. Prof. Shi authored more than 50 refereed journal articles and conference papers. He is also the holder of one patent about data processing of remote sensing images.
Laixiang Sun studied in Economics at Institute of Social Studies, Hague, Netherlands, and received Ph.D. in 1997, major study field was Economy. He is a Professor and the Head of the Department of Financial and Management Studies, University of London, London, UK, and the SENIOR RESEARCHER of IIASA, Laxenburg, Austria. His research interests include agricultural economy and modeling, integrated systems and policy analysis. Prof. Sun is the academician of the Academy of Social Sciences, the UK, since February 2010. He was awarded the title of “Outstanding Overseas Chinese Scholar” by China Academy of Sciences in June 2005 and the expert advisor, China Federation of Returned Overseas Chinese, since May 2011.
Günther Fischer received MS.c. in mathematics and data/information processing from the Technical University, Vienna, Austria, major study fields were mathematics and modeling. He is a Adjunct Professor in Department of Geography, University of Maryland, USA, and the Leader of the former Land Use Change and Agriculture Program, IIASA, Laxenburg, Austria. His main fields of research are mathematical modeling of ecological-economic systems and climate change impacts and adaptation. Prof. Fischer served as consultant to a number of projects undertaken by UN organizations, in China, Ethiopia, Kenya, Pakistan and West Africa since 1980. He had been cooperating with Food and Agriculture Organization (FAO) for many years and developed the widely used Agro-Ecological Zones (AEZ) methodology.
Zhuoran Liang graduated in June 2010 from Nanjing University of Information Science & Technology, China, with a M.S. degree in climate system and global change. He works as an ASSISTANT ENGINEER in SCC, Shanghai, China. His current research interests are climate change impacts on water balance and potential productivity of agriculture, uncertain assessment of climate change impacts on agriculture. Mr. Liang had won the 2012 IIASA YSSP fellowship.
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Tian, Z., Zhong, H., Shi, R. et al. Estimating potential yield of wheat production in China based on cross-scale data-model fusion. Front. Earth Sci. 6, 364–372 (2012). https://doi.org/10.1007/s11707-012-0332-0
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DOI: https://doi.org/10.1007/s11707-012-0332-0