Enhancing drought monitoring and early warning by linking indicators to impacts
Enhancing drought monitoring and early warning by linking indicators to impacts
复制标题
DOI：
10.1201/b18077-49
复制
发表时间：
2015-02
期刊：
影响因子：
--
通讯作者：
J. Hannaford;M. Acreman;K. Stahl;S. Bachmair;Svoboda;C. Knutson;N. Crossman;I. Overton;M. Colloff
中科院分区：
文献类型：
--
作者：
J. Hannaford;M. Acreman;K. Stahl;S. Bachmair;Svoboda;C. Knutson;N. Crossman;I. Overton;M. Colloff
监测和预警系统对于减少社会对干旱的脆弱性至关重要。虽然全球有一系列现存的监测和预警系统，但这些系统通常以物理（水文气候）指标为基础，很少与社会或环境影响联系起来。这是国际跨学科项目DrIVER（监测和预警研究中的干旱影响和脆弱性阈值）的起点。本文介绍了DrIVER项目，并提出了早期的研究重点，包括审查目前的M&EW能力和知识差距的三大洲，初步结果的指标影响分析和概述的新的社会学习框架正在开发的项目。
Monitoring and Early-Warning (M&EW) systems are crucial for reducing societal vulnerability to drought. While there are a range of extant M&EW systems globally, such systems are typically based on physical (hydro-climatic) indicators, and they have rarely been linked to societal or environmental impacts. This is the starting point for the international, transdisciplinary project DrIVER (Drought Impacts and Vulnerability thresholds in monitoring and Early warning research). This paper introduces the DrIVER project and presents early research highlights including a review of current M&EW capacities and knowledge gaps on the three continents, preliminary results of indicator-to-impact analyses and an overview of the novel social learning framework being developed by the project.