Collaborative Research: Geophysical Campaign to Image CZ Structure Along Hillslope Gradients in the Neotropics

合作研究：新热带地区沿山坡梯度的 CZ 结构成像地球物理运动

• 批准号: 2233556
• 负责人: Kristina Keating
• 金额: $ 36.31万
• 依托单位: Rutgers University Newark
• 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: 2023-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2233556&HistoricalAwards=false
• 关键词: Collaborative; Research; Geophysical; Campaign; Image

The Amazon forest is the largest stand of tropical rainforest on Earth. It hosts the highest diversity of plants and animals, many not yet documented. The Amazon forest regulates the climate not just over the Amazon but also globally, by sending large amounts of water vapor into the air and by pulling carbon dioxide from the air, both important for maintaining the stability of our climate system. The source of water to support trees in the Amazon is not clear, particularly in the dry season when areas can go without rain for extended periods of time. This project will investigate subsurface water storage in the Amazon, and the extent to which that storage is recharged during wet periods. Geophysical tools will be used to “see” the subsurface structure below the forests. Geophysical tools send waves into the ground and receive the bounced back signal, which can be analyzed to get an image of the material structure below the ground. The project is a collaboration with three Brazilian scientists, trains two US and two Brazilian students, and the work will generate educational materials for universities in both countries. This project will conduct seasonal geophysical campaigns, near the end of wet (April-May) and dry (October-November) seasons, over 2-3 years to image the subsurface structure and seasonal water storage dynamics, at two sites in Brazil (a rainforest and a savanna site), already well established by a collaborating Brazilian team to study vegetation drought resilience. Tasks include 2D seismic refraction and electric resistivity tomography and 1D nuclear magnetic resonance surveys, along hill-valley transects at each site. Detailed analyses and integrative modeling will be used to test hypotheses on the hydrologic function of different subsurface zones and their role in buffering vegetation drought responses. The project will create educational modules on how the belowground dynamics interact with aboveground vegetation in the Amazon.This project is jointly funded by Hydrologic Sciences and the Division of Earth Sciences to support projects that increase research capabilities, capacity and infrastructure at a wide variety of institution types, as outlined in the GEO EMBRACE DCL.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.

亚马逊森林是地球上最大的热带雨林。它拥有最高的动植物多样性，许多动植物尚未记录。亚马逊森林不仅在亚马逊上，而且在全球范围内调节气候，还通过将大量的水蒸气传播到空中并将二氧化碳从空气中拉出，这对于保持气候系统的稳定性很重要。在亚马逊上支撑树木的水的来源尚不清楚，尤其是在旱季，较长的地区可能不降雨。该项目将研究亚马逊的地下储水，以及在潮湿时期对该存储充电的程度。地球物理工具将用于“查看”森林下方的地下结构。地球物理工具将波浪发送到地面并接收弹跳信号，可以对其进行分析以获取地下材料结构的图像。该项目是与三位巴西科学家的合作，培训了两名美国和两名巴西学生，这项工作将为两国的大学生成教育材料。该项目将在2 - 3年的时间内进行季节性的地球物理运动，在湿（4月至10月）的季节结束时，在巴西的两个地点（一个雨林和稀树草原网站）在巴西的两个地点结构和季节性的供水动力学成像，以实现巴西协作的团队来研究蔬菜素食。任务包括2D地震折射和电抗性断层扫描和沿每个位置的山瓦利区的1D核磁共振调查。详细的分析和集成建模将用于检验有关不同地下区域的水文功能及其在缓冲植被干旱反应中的作用的假设。 The project will create educational modules on how the belowground dynamics interact with aboveground vegetation in the Amazon.This project is jointly funded by Hydrologic Sc​​iences and the Division of Earth Sciences to support projects that increase research capabilities, capacity and infrastructure at a wide variety of institution types, as outlined in the GEO EMBRACE DCL.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the基金会的智力优点和更广泛的影响评论标准。