Visit to the Three Gorges Dam Region in Support of NSF Proposal Development; Yiehang, China; Summer, 2006

0630394 Linderman该奖项将资助2006年夏季对北京和中国宜昌三峡坝区进行为期10天的规划访问的差旅费，以规划一项关于社会人口统计、土地利用、地形、生态系统动力学和生物多样性对中国三峡地区人口的相互作用的协作空间数据研究。 此次计划访问将允许两名美国研究人员和两名美国研究生与他们的中国同行共同评估将遥感和人口分析相结合的大规模研究的可行性，以充分研究景观变化以及社会经济和生物物理系统之间的相关相互作用效应。 PI是爱荷华州大学地理系的Marc Linderman博士。 北京大学生态系沈泽浩博士是该项目的主要研究者。 中美研究人员将在规划访问期间共同构思和完善假设和研究方法。 最近（2006年6月）建成的中国三峡大坝水位的变化迫使该地区100多万人从低洼地区重新安置。 这种大规模的重新安置提供了独特的机会，以审查人口的快速搬迁对环境的影响，以及景观对家庭特征的影响。 了解人口迅速变化对土地覆盖格局变化的影响以及对生物多样性的影响，对于预测地球仪周围环境变化和社会人口统计的生态影响至关重要。

0630394LindermanThis award supports travel costs for a 10-day planning visit to Beijing and the Three Gorges Dam Region in Yichang, China during the summer of 2006 to plan a collaborative spatial data study of the interplay of social demographics, land use, topography, ecosystem dynamics and biodiversity on populations living in the Three Gorges region of China. The planning visit will permit two U.S. researchers and two U.S. graduate students and their Chinese counterparts to jointly assess the feasibility for a large-scale study linking remote sensing and demographic analyses as a tool to fully examine landscape change and associated interaction effects among socioeconomic and biophysical systems. The PI is Dr. Marc Linderman in the Department of Geography at the University of Iowa. Dr. Shen, Zehao in the Department of Ecology at Peking University is the counterpart principal investigator. The U.S. and Chinese researchers will jointly conceptualize and refine the hypotheses and research methods during the planning visit. Changes in water level from the recently completed (June 2006) Three Gorges dam in China have forced the resettlement of more than one million people from low lying areas throughout the region. This massive resettlement provides unique opportunities to examine the influence of rapid relocation of populations on the environment, and reciprocally, the landscape's influence on household characteristics. Understanding the influence of rapid changes in population, on changed patterns of land-cover and effects on biodiversity, is essential in predicting the ecological impacts of environmental changes and social demographics occurring around the globe.