Spatial pattern and attribution of ecosystem drought recovery in China

IF 5.9 1区 地球科学 Q1 ENGINEERING, CIVIL Journal of Hydrology Pub Date : 2024-07-01 DOI:10.1016/j.jhydrol.2024.131578
Tingtao Wu , Lei Xu , Nengcheng Chen
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Abstract

Under the backdrop of global climate change, frequent drought events pose a severe and persistent threat to the normal functioning of ecosystems. Drought recovery time, the time it takes for an ecosystem to return to its pre-drought state, is a crucial metric for drought impact and ecosystem stability. However, most previous studies have focused on the drought recovery time of the region as a whole or a specific type of ecosystem. The differences in drought recovery time among different ecosystems and their driving factors are largely unknown. Therefore, this study utilizes multi-source fused Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage (TWS) data and Gross primary productivity (GPP) data to construct drought and ecosystem indicators. Subsequently, the drought recovery time under different climates and ecosystem types in China from 2002 to 2017 is analyzed. Finally, the factors influencing the differences in drought recovery time among ecosystems are discussed in detail. The results indicate that there is significant spatial heterogeneity in drought recovery time among ecosystems in China, with the forest ecosystems in the Northeast and Southwest regions having the longest recovery time. The recovery time of forest ecosystems (4.32 months) is longer than that of cropland (4.07 months) and grassland (3.79 months) ecosystems, but there are also significant differences in the recovery time for the same ecosystems under different climate types. The differences in drought recovery time among different ecosystem types are primarily influenced by temperature and precipitation during drought recovery, and the response of ecosystems to drought. These results provide scientific support for adopting differentiated management strategies for different ecosystem types to cope with future climate change.

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中国生态系统干旱恢复的空间模式与归因
在全球气候变化的背景下,频繁发生的干旱事件对生态系统的正常运作构成了严重而持久的威胁。干旱恢复时间,即生态系统恢复到干旱前状态所需的时间,是衡量干旱影响和生态系统稳定性的重要指标。然而,以往的研究大多侧重于整个地区或特定类型生态系统的干旱恢复时间。不同生态系统之间干旱恢复时间的差异及其驱动因素在很大程度上是未知的。因此,本研究利用多源融合重力恢复与气候实验(GRACE)陆地蓄水(TWS)数据和总初级生产力(GPP)数据构建干旱和生态系统指标。随后,分析了 2002 年至 2017 年中国不同气候和生态系统类型下的干旱恢复时间。最后,详细讨论了影响不同生态系统干旱恢复时间差异的因素。结果表明,中国生态系统间干旱恢复时间存在明显的空间异质性,其中东北和西南地区森林生态系统的干旱恢复时间最长。森林生态系统的恢复时间(4.32 个月)长于耕地生态系统(4.07 个月)和草地生态系统(3.79 个月),但同一生态系统在不同气候类型下的恢复时间也存在显著差异。不同生态系统类型在干旱恢复时间上的差异主要受干旱恢复期间的温度和降水以及生态系统对干旱的反应的影响。这些结果为针对不同生态系统类型采取差异化管理策略以应对未来气候变化提供了科学支持。
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来源期刊
Journal of Hydrology
Journal of Hydrology 地学-地球科学综合
CiteScore
11.00
自引率
12.50%
发文量
1309
审稿时长
7.5 months
期刊介绍: The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.
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