A BIO Research Training Group in Ecological Complexity

生态复杂性生物研究培训小组

• 批准号: 9553623
• 负责人: James Brown
• 金额: $ 67.5万
• 依托单位: University of New Mexico
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-01 至 2002-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9553623&HistoricalAwards=false
• 关键词: BIO; Research; Training; Group; Ecological

GER-9553623 Brown Aspiring scientists will be trained at the University of New Mexico (UNM) to investigate questions of complexity, scale, and spatial and temporal variation in ecological systems. These students will be recruited from underrepresented groups and populations with unusual academic backgrounds. They will be supported in their efforts to pursue individualized, multidisciplinary, and collaborative thesis research projects through the provision of brad-minded faculty advisors, theoretical and empirical training, and the mathematical, statistical, and analytical tools they need to investigate a wide array of basic and applied environmental problems. These students will augment the existing pool of graduate students at UNM, many of who were drawn to UNM because of its strong research programs in population and community ecology, landscape and ecosystem ecology, biogeography, evolution, systematics, and behavior or due to the opportunities provided by UNM's NSF- LTER program (Sevilleta station) and multidisciplinary training opportunities among biologists and: a) computer scientists at UNM who are developing state-of-the-art software for simulation modeling, image analysis, and signal processing, and b) natural, social, and computer scientists at the Santa Fe Institute who are studying complex systems.

GER-9553623 布朗有抱负的科学家将在新墨西哥大学 (UNM) 接受培训，研究生态系统的复杂性、规模以及时空变化问题。这些学生将从代表性不足的群体和具有不寻常学术背景的人群中招募。通过提供思想大胆的教师顾问、理论和实证培训以及调查广泛的基础和应用环境问题所需的数学、统计和分析工具，将支持他们努力追求个性化、多学科和协作的论文研究项目。 这些学生将扩大新墨西哥大学现有的研究生队伍，其中许多人被新墨西哥大学吸引是因为其在人口和社区生态学、景观和生态系统生态学、生物地理学、进化、系统学和行为方面强大的研究项目，或者由于新墨西哥大学的 NSF-LTER 计划（塞维利亚塔站）提供的机会和生物学家的多学科培训机会，以及：a）新墨西哥大学正在开发最先进的模拟软件的计算机科学家 建模、图像分析和信号处理，以及 b) 圣达菲研究所研究复杂系统的自然、社会和计算机科学家。