U.S.-China Cooperative Research: Systems Analysis of GrazingLands in Gansu Province, PRC

这一建议，詹姆斯博士之间。Ellis和Gerald M.病房 科罗拉多州立大学、甘肃草原的任继洲博士 生态研究所，旨在应用生态系统分析， 中华人民共和国干旱半干旱牧区 采用区域建模方法分析和管理 甘肃省的草原。 中国有一半以上的人口是这样的 牧场，管理不善和过度开发， 加剧了环境恶化， 荒漠化 研究人员将联合收割机结合公认的生态学原理， 现有广泛数据库的数据（航空照片;土壤图; 气候图和遥感图像，特别是 从多光谱扫描仪获得的植被指数值， 高级甚高分辨率辐射测量和其他图像）。 他们的 牧场分析系统（GRAS）将模拟 关于生产力、稳定性和 持续发展 这个项目是由NSF和 国家自然科学基金委员会.

This proposal, between Drs. James E. Ellis and Gerald M. Ward of the Colorado State University, and Dr. Ren Jizhou of the Gansu Grassland Ecological Institute, seeks to apply ecological systems analysis to arid and semiarid grazinglands in the People's Republic of China with a regional modeling approach to the analysis and management of grazinglands in Gansu Province. Over half of China consists of such grazinglands, where poor management and over-exploitation have advanced environmental deterioration and contributed to desertification. The researchers will combine accepted ecological principles with data from existing extensive data bases (aerial photos; soils maps; climatic maps; and remote-sensed imagery, particularly vegetation-index values derived from Multi-Spectral Scanner, Advanced Very High Resolution Radiometry and other imagery). Their grazingland analysis system (GRAS) will simulate the outcome of alternate management strategies on productivity, stability, and sustainability. This project is jointly sponsored by NSF and by the National Natural Science Foundation of China.