树木生长同步指数--历史极端气候的有效指标

IF 4.6 2区 环境科学与生态学 Q1 ECOLOGY
Hengfeng Jia, Jiacheng Zheng, Jing Yang, Lixin Lyu, Yuntao Dong, Ouya Fang
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引用次数: 0

摘要

树环在重建过去的气候方面发挥着重要作用。在编制树环年表时,由于小气候条件和局部干扰造成的单棵树木之间的生长差异会被平均化。在这里,我们通过研究单棵树木的生长同步性来解决平均化问题。我们利用青藏高原 32 个地点的 1046 株杜松和中国东部亚热带地区 20 个地点的 538 株松树的树环数据,计算了树木生长同步指数(TGS)。结果表明,TGS指数和树环指数都可以作为气候因子年际变化的指标。在过去 50 年中,TGS 指数比树环指数多识别出 20% 的极端气候,高同步性表明极端气候在控制森林生长方面的作用。与树环指数相比,TGS 指数能有效识别极端气候事件。这项研究为气候重建,尤其是树木生长对极端气候的响应提供了一个新的视角。我们的研究结果有助于理解历史上极端气候的时空动态和成因,并为未来保护树木免受极端气候影响提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tree-growth synchrony index, an effective indicator of historical climatic extremes
Tree rings play an important role in reconstructing past climate. Growth differences among individual trees due to microclimatic conditions and local disturbances are averaged in developing tree-ring chronologies. Here, we addressed the problem of averaging by investigating growth synchrony in individual trees. We used tree-ring data of 1046 juniper trees from 32 sites on the Tibetan Plateau and 538 pine trees from 20 sites in the subtropical region of eastern China and calculated the tree-growth synchrony index (TGS). Our results showed that both the TGS index and tree-ring index could be indicators of interannual variation of climatic factors. The TGS index identified 20% more climatic extremes than tree-ring index over the last 50 years that high synchrony indicates extreme climate forcing in controlling forest growth. The TGS index can identify extreme climatic events effectively than tree-ring index. This study provides a novel perspective for climate reconstruction, especially in the realm of tree growth response to extreme climate. Our findings contribute to understanding of the spatiotemporal dynamics and the causes of historical climate extremes and provide guidance for protecting trees from climate extremes in the future.
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来源期刊
Ecological Processes
Ecological Processes Environmental Science-Ecological Modeling
CiteScore
8.50
自引率
4.20%
发文量
64
审稿时长
13 weeks
期刊介绍: Ecological Processes is an international, peer-reviewed, open access journal devoted to quality publications in ecological studies with a focus on the underlying processes responsible for the dynamics and functions of ecological systems at multiple spatial and temporal scales. The journal welcomes manuscripts on techniques, approaches, concepts, models, reviews, syntheses, short communications and applied research for advancing our knowledge and capability toward sustainability of ecosystems and the environment. Integrations of ecological and socio-economic processes are strongly encouraged.
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