A georeferenced dataset of drought and heat-induced tree mortality in Europe

IF 1.8 Q3 ECOLOGY One Ecosystem Pub Date : 2019-02-10 DOI:10.3897/oneeco.4.e37753
G. Caudullo, J. Barredo
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引用次数: 15

Abstract

Global warming is altering climate patterns and the frequency and magnitude of heat and drought events affecting ecosystems worldwide. One of the effects of these changes is tree mortality driven by heat and drought, which have effects in forest ecosystem functions, services and biodiversity. Therefore, systematic observations and georeferenced data on tree mortality is a fundamental prerequisite for a more comprehensive understanding of the complex interactions between climate and forests. Tree mortality is a complex process for which literature presents major knowledge gaps, making predictions on the fate of climate change challenging. Some of the gaps are due to limited spatio-temporal data on tree mortality. Despite extensive tree mortality and forest dieback, associated with drought and temperature stress, have been reported in Europe, a publicly available systematic collection of georeferenced data reporting tree mortality is lacking. The dataset presented in this paper is a contribution to mitigate the lack of information on tree mortality. Our dataset builds on scientific and peer-reviewed literature and provides a georeferenced set of documented tree mortality occurrences in the period 1970-2017 in Europe. The aim of this study is to describe the creation of the dataset and to provide the data file to interested users.
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欧洲干旱和高温导致树木死亡的地理参考数据集
全球变暖正在改变气候模式以及影响全球生态系统的高温和干旱事件的频率和程度。这些变化的影响之一是高温和干旱导致的树木死亡,这对森林生态系统的功能、服务和生物多样性产生了影响。因此,关于树木死亡率的系统观测和地理参考数据是更全面地了解气候与森林之间复杂相互作用的基本先决条件。树木死亡是一个复杂的过程,文献中存在重大的知识空白,这使得对气候变化命运的预测具有挑战性。一些差距是由于树木死亡率的时空数据有限。尽管欧洲报告了与干旱和温度胁迫相关的大量树木死亡和森林枯死,但缺乏一个公开的、系统的、报告树木死亡的地理参考数据集。本文提供的数据集有助于缓解树木死亡率信息的缺乏。我们的数据集建立在科学和同行评审的文献基础上,提供了一组1970-2017年欧洲树木死亡率的地理参考数据。本研究的目的是描述数据集的创建,并向感兴趣的用户提供数据文件。
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来源期刊
One Ecosystem
One Ecosystem Environmental Science-Nature and Landscape Conservation
CiteScore
4.60
自引率
0.00%
发文量
26
审稿时长
12 weeks
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