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Global response of terrestrial gross primary productivity to climate extremes

机译:全球陆地初级生产力对气候极端的响应

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摘要

Extreme climate events undoubtedly have essential impacts on ecosystem gross primary productivity (GPP), but the global spatio-temporal patterns of GPP responses to climate extremes are unclear. In this study, we analyzed the responses of GPP to temperature and precipitation extremes during historical (1901-2016) and future (2006-2100) periods using climate extreme indices (CEIs) developed by the Expert Team on Climate Change Detection and Indices. Eight temperature-related CEIs and eight precipitation-related CEIs were used for this analysis, along with three future greenhouse gas concentration trajectory scenarios generated by the IPCC: RCP 2.6. RCP 4.5, and RCP 8.5. Our results show that under RCP 4.5 and RCP 8.5, most climate extremes are increasing from the historical period into the future, indicating a warming globe with more frequent and more intense extreme climate events. But the increasing rate is only persistently enhanced with time under scenario RCP 8.5. GPP shows a continuous negative relationship with cold CEIs and positive relationship with wet CEIs from the historical period into the future. In all zonal scales, the changed magnitude of GPP responds strongly to extreme value-related temperature extremes under different scenarios. However, the precipitation-related extremes with the strongest GPP response are various in different regions. In the future, GPP is most sensitive to temperature extremes in upper northern latitudes and in high-altitude regions (e.g., Qinghai-Tibet Plateau) and to precipitation extremes in the tropical zone. This study may provide a basis for predicting how GPP responds to climate extremes and explaining the underlying changes in the carbon cycle.
机译:极端气候事件无疑对生态系统的主要生产力(GPP)产生了重要影响,但GPP对气候极端的全球时空模式尚不清楚。在这项研究中,我们在历史(1901-2016)和未来(2006-2100)期间,使用专家组在气候变化检测和指数开发的气候极端指数(CEIS)的期间(2006-2100)期间分析了GPP对温度和降水极值的反应。八个温度相关的CEI和八种沉淀相关的CEIS用于该分析,以及IPCC的三个未来温室气体浓度轨迹场景:RCP 2.6。 RCP 4.5和RCP 8.5。我们的研究结果表明,在RCP 4.5和RCP 8.5下,大多数气候极端从历史时期增加到未来,表明一个更频繁,更激烈的极端气候事件的变暖。但是,在场景RCP 8.5下,越来越多的速度持续增强。 GPP与历史时期与潮湿的CEIS与历史期间的持续负面关系显示出持续的负面关系。在所有区域尺度中,GPP的变化大小强烈地响应了不同场景下的极值相关的温度极值。然而,具有最强的GPP响应的沉淀相关极值是不同地区的各种各样的。在未来,GPP对上北纬和高海拔地区(例如,青藏高原)的极端温度最敏感,并在热带区中降低极端。本研究可以提供预测GPP如何应对气候极端的基础,并解释碳循环中的潜在变化。

著录项

  • 来源
    《The Science of the Total Environment》 |2021年第1期|142337.1-142337.14|共14页
  • 作者单位

    Center for Ecological Forecasting and Global Change College of Forestry Northwest A&F University Yangling 712100 China;

    Center for Ecological Forecasting and Global Change College of Forestry Northwest A&F University Yangling 712100 China College of Hydrology and Water Resources Hohai University Nanjing 210098 China National Earth System Science Data Center National Science & Technology Infrastructure of China Beijing 100101 China;

    Center for Ecological Forecasting and Global Change College of Forestry Northwest A&F University Yangling 712100 China;

    U.S. Geological Survey Western Geographic Science Center Moffett Field CA 94035 USA;

    Chengdu Institute of Biology Chinese Academy of Sciences Chengdu 610041 China;

    Institute of Environment Sciences Department of Biology Sciences University of Quebec at Montreal Case Postale 8888 Succursale Centre-Ville Montreal Quebec H3C 3P8 Canada;

    College of Resources and Environmental Science Hunan Normal University Changsha 410081 China;

    Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China;

    State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration Institute for Peat and Mire Research Northeast Normal University 130024 China;

    College of Forestry Northwest A&F University Yangling 712100 China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Carbon cycle; Climate extremes; Gross primary productivity; Precipitation-related indices; Temperature-related indices;

    机译:碳循环;气候极端;初级生产力;降水相关索引;温度相关的指数;

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