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Impacts of climate change on vegetation phenology and net primary productivity in arid Central Asia

机译:气候变化对干旱中亚植被酚类植被酚类净初级生产力的影响

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摘要

Vegetation is highly sensitive to climate changes in arid regions. The relationship between vegetation and climate changes can be effectively characterized by vegetation phenology. However, few studies have examined the vegetation phenology and productivity changes in arid Central Asia (ACA). The vegetation phenological information of ACA was extracted using MODIS NDVI (Normalized Difference Vegetation Index) data, and the dynamics of vegetation phenological changes under spatiotemporal variations were quantitatively assessed. Moreover, the impacts of climate change on vegetation phenology and net primary productivity were analyzed by combining meteorological data with that of MODIS NPP (Net Primary Productivity) during the same period. The results demonstrated that the start of the season (SOS) of vegetation in the study was concentrated from mid-February to mid-April, while the end of the season (EOS) was concentrated from early October to mid-December. The length of growing season (LOS) ranged from 6 to 10 months. The SOS of vegetation was gradually postponed at a rate of 0.16 d·year~(-1). The EOS advanced at a rate of 0.69 d·year~(-1). The LOS was gradually shortened at a rate of 0.89 d·year~(-1). For each per 1000 m increase in elevation, the SOS of vegetation was postponed by 12.40 d; the EOS advanced by 0.40 d, and the LOS was shortened by 11.70 d. For the impacts of climate changes on vegetation phenology and NPP, the SOS of vegetation phenology negatively correlated with temperature but positively correlated with precipitation and NPP. The EOS and LOS positively correlated with temperature but negatively with precipitation and NPP. Results indicated that the SOS was not moved ahead but was delayed, while the EOS advanced rather than being postponed under climate change. These results can offer new insights on the phenological response to climate change in arid regions and on non-systematic changes in phenology under global warming.
机译:植被对干旱地区的气候变化非常敏感。植被和气候变化之间的关系可以有效地表征植被候选。然而,很少有研究已经检查了干旱中亚(ACA)的植被候选候选和生产力变化。使用MODIS NDVI(归一化差异植被指数)数据提取ACA的植被鉴定信息,并且量化植被鉴定植被鉴定性变化的动态。此外,通过在同一时期内将气象数据与Modis NPP(净初级生产率)的气象数据与Modis NPP(净初级生产率)组合来分析气候变化对植被酚类植物酚类素和净初级生产率的影响。结果表明,研究中植被的季节(SOS)开始于4月中旬至4月中旬,而本赛季结束(EOS)从10月初到12月中旬。生长季节(LOS)的长度范围为6至10个月。植被的SOS以0.16 D·年〜(-1)的速率逐渐推迟。 EOS以0.69 d·年的速度高达〜(-1)。 LOS以0.89 d·年〜(-1)的速度逐渐缩短。对于每个1000米的升高增加,植被的SO被推迟到12.40 d; EOS先进了0.40 D,洛杉矶缩短11.70天。对于气候变化对植被候选和NPP的影响,植被酚类的SOS与温度呈负相关,但与降水和NPP正相关。 EOS和LOS与温度正相关,但对沉淀和NPP负面相关。结果表明,SOS没有搬到前方,但被延迟,而EOS先进而不是在气候变化下推迟。这些结果可以对干旱地区气候变化和全球变暖下候选的非系统变化提供新的见解。

著录项

  • 来源
    《Science of the total environment》 |2021年第20期|149055.1-149055.15|共15页
  • 作者单位

    School of Geographic Sciences Nanjing University of Information Science and Technology Nanjing 210044 China;

    State Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences Urumqi 830011 China Research Center for Ecology and Environment of Central Asia Chinese Academy of Sciences Urumqi 830011 China;

    School of Geographic Sciences Nanjing University of Information Science and Technology Nanjing 210044 China;

    Department of Civil and Architectural Engineering University of Wyoming Laramie WY 82071 USA;

    School of Geographic Sciences Nanjing University of Information Science and Technology Nanjing 210044 China;

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

    Vegetation phenology; Climate change; Net primary productivity; Arid Central Asia;

    机译:植被候选;气候变化;净初级生产力;干旱中亚;

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