NSFDEB-NERC: Understanding drought and post-drought legacy effects in tropical forest

NSFDEB-NERC：了解热带森林的干旱和干旱后遗留影响

• 批准号: 2230861
• 负责人: Sassan Saatchi
• 金额: $ 48.05万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2230861&HistoricalAwards=false
• 关键词: NSFDEB; NERC; Understanding; drought; post

This project addresses a significant gap in understanding of how tropical forests respond to drought, from the level of individual trees to that of the forest ecosystem. The research will leverage a large-scale drought experiment in a tropical Amazon forest in Brazil with the use of a new radar sensor. The results will provide advances in understanding the effects of drought, particularly at tree and forest scales. The tower-based radar sensor detects changes in vegetation water content at much higher resolution than is possible using satellite radar sensors. Researchers will integrate this forest-scale radar signal with detailed plant physiology data. The team will also compare the drought experiment with post-drought measurements to study the effects of long-term drought on forest recovery. The research is funded in partnership with the UK's Natural Environment Research Council (NERC) as an international collaboration between U.S. and U.K. laboratories. This study will also support the training of a postdoctoral researcher and two "Science and and Impact" workshops.This study of large-scale forest ecosystem experimentation and multi-scale measurements in the Amazonian rain forest has several objectives. The project will create new capacity to monitor the effects of drought on tropical forests by using high-resolution tower-based radar water-content signal. The tower-based sensor data will be compared and calibrated with plant tissue water potential measurements and moisture release from leaf (/canopy) or woody (/stem) tissue. The plant and radar drought-stress response data will be further used to infer altered overall function during drought at tree and forest scales, using measurements of water use (transpiration) and hydraulic conductance in trees and soil. The project will also perform a test of whether, after the experimental drought has been removed, the radar-plant water potential relationship can inform scientific understanding of the rate of recovery in plant status metrics (water content and water potential), and in overall tree and forest functional capacity (transpiration, hydraulic conductance). This will determine how quickly the forest is able to recover from the drought, whether there are post-drought legacy effects, and whether the forest remains at risk of functional failure under future drought. Finally, the results will be compared and integrated with satellite-based signals from both existing and emerging satellite-radar data-streams. The relationships will be used to develop the potential to dynamically map and predict drought risk in tropical forests, and to improve the detection of biomass change from space. In addition to training a postdoctoral researcher in an international collaborative project, the investigators will engage stakeholders (land surface modellers; and land use/climate mitigation planners) through two Science & Impact workshops at the start and end of the project to identify improvements in monitoring and model-based prediction of land-atmosphere interactions, and early warning of drought risk to forests for use in land-use planning.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.

该项目解决了在了解热带森林如何应对干旱方面的一个重大差距，从单个树木到森林生态系统。该研究将利用巴西热带亚马逊森林的大规模干旱实验，使用新的雷达传感器。研究结果将有助于进一步了解干旱的影响，特别是在树木和森林尺度上。塔式雷达传感器探测植被含水量变化的分辨率比使用卫星雷达传感器高得多。研究人员将把这种森林规模的雷达信号与详细的植物生理学数据结合起来。该小组还将比较干旱实验与干旱后的测量，以研究长期干旱对森林恢复的影响。这项研究是与英国自然环境研究理事会（NERC）合作资助的，是美国和英国之间的国际合作。laboratories.这项研究还将支助一名博士后研究员的培训和两个“科学和影响”讲习班，这项关于亚马逊雨林大规模森林生态系统实验和多尺度测量的研究有几个目标。该项目将建立新的能力，利用高分辨率塔式雷达含水量信号监测干旱对热带森林的影响。基于塔的传感器数据将与植物组织水势测量值和叶（/冠层）或木质（/茎）组织的水分释放进行比较和校准。植物和雷达干旱胁迫响应数据将进一步用于推断在树木和森林尺度干旱期间改变的总体功能，使用树木和土壤中的水利用（蒸腾）和水力传导的测量。该项目还将测试，在实验性干旱消除后，雷达-植物水势关系是否可以为科学了解植物状况指标（含水量和水势）以及树木和森林整体功能能力（蒸腾作用、水力传导）的恢复率提供信息。这将决定森林能够多快从干旱中恢复，是否存在干旱后的遗留影响，以及森林在未来干旱下是否仍有功能丧失的风险。最后，将把结果与现有和新出现的卫星雷达数据流的星基信号进行比较和综合。这些关系将用于开发动态测绘和预测热带森林干旱风险的潜力，并改进从空间对生物量变化的探测。除了在国际合作项目中培训博士后研究员外，研究人员还将在项目开始和结束时通过两个科学影响研讨会吸引利益相关者（陆地表面建模人员和土地利用/气候缓解规划人员）&，以确定陆地-大气相互作用的监测和基于模型的预测方面的改进，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。