Conference: Gordon Research Conference in Predictive Ecology

会议：戈登预测生态学研究会议

• 批准号: 2303844
• 负责人: Jeff Houlahan
• 金额: $ 2.5万
• 依托单位: Gordon Research Conferences
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2303844&HistoricalAwards=false
• 关键词: Conference; Gordon; Research; Predictive; Ecology

Ecologists seek to understand the distribution and abundance of living organisms. However, translating ecological theory to effective resource management requires quantitative tools and practices including ecological models. This need for a more quantitative approach has led to an emerging but diffuse discipline: Predictive Ecology. Predictive ecology places prediction and forecasting at the center of both theoretical and applied ecology. Managing ecological systems at scales that are relevant to human wellbeing is a predominant goal in ecosystem ecology. There is a need to coordinate among scientists working with high frequency and large scale data to better model large-scale ecosystem change. This project supports diverse researchers to attend a Gordon Research Conference in Predictive Ecology held in June 2023. At the conference, a strong and broad foundation for predictive ecology over the next decade is developed. The activities at the conference and the supported individuals will advance a set of methods for the next generation of ecologists and ecosystem scientists.The proposed program of 30 confirmed speakers is a diverse group of scientists including ecosystem scientists, ecologists, epidemiologists, economists, computer scientists, and data scientists. The short-term impact of the conference is to develop a road map and a set of best practices for predictive ecology. The conference brings together a wide variety of researchers to ensure that ecological models are integrated into social, environmental and resource management policy and decision-making. This conference develops the field of predictive ecology by developing a network of predictive ecology researchers and a clear framework defining best practices for predictive ecology.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

生态学家试图了解生物的分布和丰富程度。然而，将生态理论转化为有效的资源管理需要量化的工具和实践，包括生态模型。对更加量化的方法的这种需求导致了一门新兴但分散的学科：预测生态学。预测生态学把预测和预报放在理论和应用生态学的中心。在与人类福祉相关的规模上管理生态系统是生态系统生态学的首要目标。需要在使用高频和大规模数据的科学家之间进行协调，以更好地对大规模生态系统变化进行建模。该项目支持不同的研究人员参加2023年6月举行的预测生态学戈登研究会议。在这次会议上，为未来十年的预测生态学奠定了坚实而广泛的基础。会议上的活动和被支持的个人将为下一代生态学家和生态系统科学家提出一套方法。拟议的30名确认演讲者是一个不同的科学家群体，包括生态系统科学家、生态学家、流行病学家、经济学家、计算机科学家和数据科学家。会议的短期影响是为预测生态制定路线图和一套最佳实践。会议汇集了各种各样的研究人员，以确保将生态模型纳入社会、环境和资源管理政策和决策。本次会议通过建立预测生态学研究人员网络和定义预测生态学最佳实践的明确框架来发展预测生态学领域。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。