U.S.-Norway Cooperative Research to Integrate Mathematical and Simulation Models of Populations and Landscape Mosaics

美国-挪威合作研究整合人口和景观马赛克的数学和模拟模型

• 批准号: 9400073
• 负责人: John Wiens
• 金额: $ 1.89万
• 依托单位: Colorado State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1994
• 资助国家: 美国
• 起止时间: 1994-08-15 至 1998-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9400073&HistoricalAwards=false
• 关键词: U.S.; Norway; Cooperative; Research; Integrate

9400073 Wiens This award supports Professors John Wiens and Beatrice Van Horne, together with postdoctoral associate Thomas Crist, all of Colorado State University, to collaborate in ecological research with Nils Stenseth and his group in the Department of Biology of the University of Oslo, Norway. They are attempting to understand the relationship of the mosaic structure of landscapes to the ecology of individuals, and to translate these effects to the population and community levels. The Colorado State group has strengths in simulation modeling while the Oslo group emphasizes analytical, mathematical models. They will integrate these approaches to address common questions about how environmental heterogeneity affects ecological systems and about how these effects vary with spatial scale. Questions about the effects of scale and of explicit spatial heterogeneity on ecological systems have become a centerpiece of contemporary ecology. This collaboration will evaluate two methodological approaches to these questions by applying them jointly to independently gathered empirical data from the different systems being studied by the two groups. The result should be a contribution to predictive theory that will have significant applications in preserving biodiversity and threatened ecosystems. ***

9400073维恩斯该奖项支持科罗拉多州立大学的约翰·维恩斯教授和比阿特丽斯·范·霍恩教授以及博士后助理托马斯·克里斯特与挪威奥斯陆大学生物系的尼尔斯·斯坦塞斯及其团队在生态学研究方面进行合作。他们试图了解景观的镶嵌结构与个体生态的关系，并将这些影响转化为人口和社区层面的影响。科罗拉多州立大学的小组在模拟建模方面很有优势，而奥斯陆小组则强调分析和数学模型。他们将整合这些方法来解决常见的问题，即环境异质性如何影响生态系统，以及这些影响如何随着空间规模的变化而变化。关于尺度和明显的空间异质性对生态系统的影响的问题已经成为当代生态学的核心问题。这项合作将评估解决这些问题的两种方法，将它们联合应用于从两个小组正在研究的不同系统中独立收集的经验数据。其结果应该是对预测理论的贡献，该理论将在保护生物多样性和受到威胁的生态系统方面有重大应用。***