Collaborative Research: GCR: Co-Defining Climate Refugia to Inform the Management of Mountain Headwater Systems

合作研究：GCR：共同定义气候保护区，为山地水源系统的管理提供信息

• 批准号: 2120795
• 负责人: Flavio Lehner
• 金额: $ 4.49万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2120795&HistoricalAwards=false
• 关键词: Collaborative; Research; GCR; Co; Defining

Population growth and climate change increasingly stress public lands that provide key ecosystem services such as clean water, habitat for plants and animals, and income via tourism and natural resources. To ensure that services remain sustainable, land managers allocate limited resources to alleviate evolving stressors between society and the environment; however, land management decisions are challenged by scientific limitations and inadequate communication among scientists, decision-makers, and the public. This project aims to inform land management decisions by identifying regions that provide stable ecosystem services despite climate change and other human-caused disturbance. The project team – representing climate science, geology, hydrology, social science, and ecology – includes students from a Hispanic-Serving Institution and community colleges. The team will work with decision-makers to develop measurement and prediction technologies to estimate where, how, and when ecosystems may experience irreversible change this century. The project will establish a transferrable method to map at-risk and sustainable ecosystem services using both science and public priorities to inform land management decisions in the context of a changing climate. The concept of refugia – the mappable landscape units that are buffered from contemporary climate change – is significant to many population segments that value and/or study ecosystem services at the urban-wildland interface. However, no unified framework exists in which to contribute new data or ideas, and there are technical barriers to projecting future conditions, including climate change and other societal pressures. This project will develop novel observations of water, energy and vegetation to improve a next-generation terrestrial model to co-produce refugia estimates through collaboration among land managers, citizens, and cross-disciplinary scientists. It will undertake the complex task of combining public values, land manager input, and an ensemble of climate change projections to co-define refugia characteristics and predict the location and persistence of refugia under climate change and other anthropogenic forcings. The research will produce three specific advances: (1) a convergent blueprint for integrating and defining the value of ecosystem services that are relevant to the public, managers, and scientists as a means to characterize refugia, (2) improved process-based model structure to predict the dynamics, thresholds, and boundaries of future refugia, and (3) a novel modeling framework to separate sources of uncertainty in projections of ecosystem change.This award is co-funded by the Hydrologic Sciences program.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.

人口增长和气候变化对提供关键生态系统服务的公共土地造成越来越大的压力，这些服务包括清洁水、动植物栖息地以及通过旅游业和自然资源获得的收入。为了确保服务的可持续性，土地管理者分配有限的资源，以减轻社会与环境之间不断变化的压力;然而，科学的局限性和科学家、决策者和公众之间的沟通不足，对土地管理决策提出了挑战。该项目旨在通过确定尽管气候变化和其他人为干扰仍能提供稳定生态系统服务的区域，为土地管理决策提供信息。该项目团队-代表气候科学，地质学，水文学，社会科学和生态学-包括来自西班牙裔服务机构和社区学院的学生。该团队将与决策者合作，开发测量和预测技术，以估计生态系统在本世纪可能在何处、如何以及何时经历不可逆转的变化。该项目将建立一种可转移的方法，利用科学和公共优先事项，绘制有风险和可持续的生态系统服务图，为气候变化背景下的土地管理决策提供信息。避难所的概念-可映射的景观单元，从当代气候变化的缓冲-是重要的许多人口群体的价值和/或研究生态系统服务的城市-荒地接口。然而，目前还没有一个统一的框架来提供新的数据或想法，而且在预测未来的情况，包括气候变化和其他社会压力方面存在技术障碍。该项目将开发对水、能源和植被的新观测，以改进下一代陆地模型，通过土地管理者、公民和跨学科科学家之间的合作，共同产生避难所估计。它将承担一项复杂的任务，将公共价值观、土地管理者的投入和一系列气候变化预测结合起来，共同界定避难所的特征，并预测在气候变化和其他人为强迫下避难所的位置和持久性。这项研究将产生三个具体的进展：（1）一个融合的蓝图，用于整合和定义与公众、管理者和科学家相关的生态系统服务的价值，作为描述避难所的一种手段，（2）改进基于过程的模型结构，以预测未来避难所的动态、阈值和边界，以及（3）一个新的建模框架，用于分离生态系统变化预测中的不确定性来源。该奖项反映了NSF的法定使命，并被认为是值得通过使用基金会的学术价值和更广泛的影响审查标准。