Doctoral Dissertation Research: Deciphering Hydroclimatic Convergence Using a Multi-Parameter Tree-Ring Approach

博士论文研究：使用多参数树木年轮方法解读水文气候辐合

• 批准号: 1458213
• 负责人: Edward Cook
• 金额: $ 1.52万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2017-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1458213&HistoricalAwards=false
• 关键词: Doctoral; Dissertation; Research; Deciphering; Hydroclimatic

A better understanding of past climatic variability and the extent to which different climate systems influence moisture availability is essential for future water resources planning and allocation. This doctoral dissertation research project will investigate historical drivers of moisture variability near the intersection of two dominant climate systems in Central Asia. The doctoral student will use tree-ring data to characterize spatial and temporal climatic changes and the reasons behind these changes across a region that is not well understood climatically. She will provide new information regarding how multiple climate systems dictate the amount of moisture delivered to semi-arid regions that are susceptible to persistent and severe droughts. The student will work closely with natural resource offices internationally and will mentor undergraduate students, many of whom will be from underrepresented groups. The hydroclimatic nature of this study has important implications for water resource managers around the world as they develop regional plans for future water allocations. As a Doctoral Dissertation Research Improvement award, this award also will provide support to enable a promising student to establish a strong independent research career.This project will address the core question of whether shifting climate systems are responsible for changes in spatial hydroclimatic variability or whether such convergences are a response to human-related warming. A new multi-parametric tree-ring approach at a fine temporal resolution (annual) will be used to understand the drivers of past climate variability. Tree-ring parameters including ring width, latewood density, carbon and oxygen isotopes will be analyzed using standard dendrochronological procedures. The analyses will provide a quantitative assessment of the factors driving large-scale drought dynamics. The research in an arid region of the world will provide a better understanding of water resources use and allocation for agricultural, environmental, and human use in a broad range of locales around the world, including some in the U.S.

更好地了解过去的气候变化以及不同气候系统影响水分可用性的程度对于未来的水资源规划和分配至关重要。 该博士论文研究项目将研究中亚两个主要气候系统交汇处附近湿度变化的历史驱动因素。 博士生将使用树木年轮数据来描述时空气候变化以及气候变化背后的原因。 她将提供有关多种气候系统如何决定向易遭受持续严重干旱的半干旱地区输送的水分量的新信息。 该学生将与国际自然资源办公室密切合作，并指导本科生，其中许多人来自代表性不足的群体。 这项研究的水文气候性质对世界各地的水资源管理者在制定未来水资源分配的区域计划时具有重要意义。 作为博士论文研究改进奖，该奖项还将提供支持，使有前途的学生能够建立强大的独立研究生涯。该项目将解决气候变化系统是否对空间水文气候变率的变化负责的核心问题，或者是否是这种变化造成的。趋同是对与人类有关的变暖的反应。 一种新的具有精​​细时间分辨率（年度）的多参数树木年轮方法将用于了解过去气候变化的驱动因素。 将使用标准树木年代学程序分析树木年轮参数，包括年轮宽度、晚材密度、碳和氧同位素。 这些分析将对驱动大规模干旱动态的因素进行定量评估。 在世界干旱地区进行的研究将有助于更好地了解世界各地（包括美国的一些地区）农业、环境和人类利用的水资源利用和分配。