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中国区域2007~2018植被荧光时空变化与气候响应模式研究
引用本文:严致荣,刘良云,竞霞.中国区域2007~2018植被荧光时空变化与气候响应模式研究[J].遥感技术与应用,2022,37(3):702-712.
作者姓名:严致荣  刘良云  竞霞
作者单位:1.西安科技大学测绘科学与技术学院,陕西 西安 710054;2.中国科学院空天信息创新研究院,北京 100101
基金项目:中国科学院重点部署项目(ZDRWZS?2019?1);国家自然科学基金项目(41825002)
摘    要:基于GOME-2 卫星日光诱导叶绿素荧光(SIF)产品数据集,对2007~2018年中国区域SIF进行时空变化分析,探讨了中国区域SIF对气温、降水、辐射等气候变化的响应。结果表明:①中国植被区域SIF总体上呈现从东南向西北递减的空间分布,12 a间年均SIF增加了20.2%,增幅达0.034 mW/m2/sr/nm,增加区域占比为80.3%,呈显著增长区域占比25.7%,增长区域主要分布在植被较为密集的中国东部、南部和东北部。②季节尺度上,夏季SIF增加的区域和幅度最大,增幅达0.065 mW/m2/sr/nm,增加区域占比为82.1%,呈显著增长的区域占比19.4%,SIF增长区域与年均SIF的趋势基本一样。春季和秋季SIF总体也是呈增长的趋势,而冬季只在中国南部增长趋势明显。③与气候因子的偏相关响应分析表明,在寒温带针叶林区域,气温是SIF增长主要的影响因子;在暖温带及温带植被区域,降水是SIF增长主要的影响因子;在亚热带常绿阔叶林区域,影响SIF增长的更可能是人类活动;对处于较低纬度地区的热带季风雨林区域来说,辐射是SIF增长的主要影响因子。研究结果揭示了2007~2018年间的中国区域植被荧光时空变化规律及其与气候变化间的响应关系,可为全球碳循环研究提供必要的数据支撑。

关 键 词:日光诱导叶绿素荧光  GOME-2卫星  趋势分析  气候响应  
收稿时间:2021-01-22

Spatiotemporal Variations of Satellite-based SIF and Its Climate Response in China from 2007 to 2018
Zhirong Yan,Liangyun Liu,Xia Jing.Spatiotemporal Variations of Satellite-based SIF and Its Climate Response in China from 2007 to 2018[J].Remote Sensing Technology and Application,2022,37(3):702-712.
Authors:Zhirong Yan  Liangyun Liu  Xia Jing
Abstract:Based on the GOME-2 satellite SIF dataset, we analyzed the spatial and temporal changes of SIF from 2007 to 2018 in China, and investigated the response of SIF to climate changes, such as temperature, precipitation, and radiation. The results showed that: (1) The SIF in China's vegetation region generally shows a decreasing distribution from southeast to northwest. The average annual SIF increases by 20.2% in last 12 years, with an amplitude of 0.034 mW/m2/sr/nm, and the increase area accounts for 80.3% of the whole China. The area with significant growth of SIF accounts for 25.7%, which were mainly distributed in eastern, southern and northeastern China. (2) The SIF increase in summer season during last twelve years is the largest with an amplitude of 0.065 mW/m2/sr/nm; the area with increased summer SIF accounts for 82.1% of the whole China, and the area with significant increase accounts for 19.4%. (3) The response of SIF to climate change was investigated using the partial correlation method. temperature is the main factor affecting the interannual variation of SIF; precipitation is the main driven factor for SIF in warm temperate and temperate vegetation regions; human activities are more likely to affect the growth of SIF in the green broad-leaved forest area; radiation is the driven factor for tropical monsoon rain forest areas located in low latitudes. The above results reveal the temporal and spatial changes of vegetation fluorescence in China from 2007 to 2018 and its response to climate change, which can provide important support for global carbon cycle research.
Keywords:Sunlight-induced chlorophyll fluorescence  GOME-2 satellite  Trend analysis  Climate response  
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