CNH: The Emergence of Coupled Natural and Human Landscapes in the Western Mediterranean

CNH：西地中海自然与人文景观耦合的出现

• 批准号: 1313727
• 负责人: C Michael Barton
• 金额: $ 130万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1313727&HistoricalAwards=false
• 关键词: CNH; Emergence; Coupled; Natural; Human

The Mediterranean region has one of the longest histories of intensive human use of any part of the world. In some areas, this has led to severe environmental degradation; in other areas, productive landscapes of farms, pastures, towns, and natural areas have been maintained for thousands of years. This project will collect archeological data on ancient human land use, vegetation, and land form at four Neolithic sites in Spain and Italy. These data will guide the development of models of social and natural processes that will attempt to predict the long-term outcomes of alternative patterns of land use. The predictions will be checked against new knowledge of what has actually happened over centuries of use. Based on these checks, the models will be refined to simulate the feedbacks through which human decisions are affected by land cover and terrain, vegetation is affected by land use and landscape change, and the land surface and soils are affected by land cover and use.By increasing our ability to learn from the past, this project will help the U.S. plan for more sustainable agriculture and development of towns and cities. To help disseminate results, the modeling software created will be available on line. The extensive educational component of the project comprises extensive training of undergraduate and graduate students including members of groups under-represented in science, a summer program to train K-12 teachers to use models of landscape change, and the incorporation of findings into courses at four universities.

地中海区域是世界上人类密集利用历史最悠久的地区之一。 在一些地区，这导致了严重的环境退化;在其他地区，农场，牧场，城镇和自然区域的生产性景观已经保持了数千年。 该项目将在西班牙和意大利的四个新石器时代遗址收集有关古代人类土地使用、植被和土地形态的考古学数据。 这些数据将指导社会和自然进程模型的开发，这些模型将试图预测土地使用的替代模式的长期结果。 这些预测将与几个世纪以来实际发生的事情的新知识进行核对。 在这些检查的基础上，模型将被完善，以模拟反馈，通过这些反馈，人类的决策受到土地覆盖和地形的影响，植被受到土地利用和景观变化的影响，土地表面和土壤受到土地覆盖和利用的影响。通过提高我们从过去学习的能力，这个项目将有助于美国规划更可持续的农业和城镇的发展。 为了帮助传播结果，将在网上提供所创建的建模软件。 该项目的广泛教育组成部分包括对本科生和研究生的广泛培训，包括科学代表性不足的群体的成员，培训K-12教师使用景观变化模型的暑期计划，以及将研究结果纳入四所大学的课程。