| 基于遥感指数的中国南亚热带常绿林光合作用季节动态变化研究（英文） |
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| 引用本文： | 孙雷刚,王绍强,Rober A.MICKLER,陈敬华,于泉洲,钱钊晖,周国逸,孟泽.基于遥感指数的中国南亚热带常绿林光合作用季节动态变化研究（英文）[J].资源与生态学报（英文版）,2019(2):112-126. |
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| 作者姓名： | 孙雷刚 王绍强 Rober A.MICKLER 陈敬华 于泉洲 钱钊晖 周国逸 孟泽 |
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| 作者单位： | 中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室;中国科学院大学;河北省科学院地理科学研究所河北省地理信息开发应用工程技术研究中心;中国地质大学(武汉)地理与信息工程学院;北卡罗莱纳州立大学森林与环境资源系;聊城大学环境与规划学院;中国科学院华南植物园 |
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| 基金项目： | National Key Research and Development Program of China(2017YFC0503803);National Natural Science Foundation of China(41571192);Natural Science Foundation of Hebei,China(D2016302002);Science and Technology Planning Project of Hebei,China(17390313D) |
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| 摘 要： | 准确监测中国南亚热带常绿林生态系统光合作用动态变化对全球陆地生态系统碳吸收估计及其对气候变化的响应至关重要。涡动协方差技术一直被认为是评估生态系统碳通量最直接的方法,虽然具有较高的时间分辨率,但在空间上有其自身的局限性。近10年,光谱观测和卫星遥感技术在植被生产力监测方面的应用大大提高了对碳通量的时空评估能力。本研究基于长时间序列光谱观测数据,提取叶绿素荧光指数(FRI)和光化学植被指数(PRI),进而评价两个生理遥感指数跟踪亚热带常绿林光合作用季节动态变化的能力。结果表明,传统NDVI指数受光照条件影响较大(R^2=0.88,p<0.001),并呈现出饱和现象,而FRI和PRI指数则能较好地跟踪植物光和功能季节性变化,且在季节尺度上两者受光照条件的影响相对较弱(FRI指数R^2=0.13;PRI指数R^2=0.51);相比PRI指数与光能利用效率(LUE)在午间具有较强的相关性,FRI指数与GPP的相关性则在早上优于午间时段;而这两种相关关系均在植被衰退季优于植被生长季。另外,通过考虑光合有效辐射因子,基于FRI指数监测GPP的能力得到显著提高,R 2从0.22提高到0.69,呈显著正相关关系(p<0.001);同时,在植被衰退季也呈现出更强的相关性(R^2=0.79,p<0.001)。研究成果表明,FRI和PRI两个生理遥感指数能够准确地监测亚热带常绿林光合作用季节动态变化,建议把其引入碳循环模型中以改进区域碳收支估计。
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| 关 键 词： | 荧光指数 光化学植被指数 光合作用 总初级生产力 光能利用率 亚热带常绿林 |
Remote Sensing Indices to Measure the Seasonal Dynamics of Photosynthesis in a Southern China Subtropical Evergreen Forest |
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| SUN Leigang,WANG Shaoqiang,Robert A.MICKLER,CHEN Jinghua,YU Quanzhou,QIAN Zhaohui,ZHOU Guoyi,MENG Ze.Remote Sensing Indices to Measure the Seasonal Dynamics of Photosynthesis in a Southern China Subtropical Evergreen Forest[J].Journal of Resources and Ecology,2019(2):112-126. |
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| Authors: | SUN Leigang WANG Shaoqiang Robert AMICKLER CHEN Jinghua YU Quanzhou QIAN Zhaohui ZHOU Guoyi MENG Ze |
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| Institution: | (Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China;Hebei Engineering Research Center for Geographic Information Application,Institute of Geographical Sciences,Hebei Academy of Sciences,Shijiazhuang 050011,China;School of Geography and Information Engineering,China University of Geosciences,Wuhan 430074,China;Department of Forestry and Environmental Resources,North Carolina State University,Raleigh,North Carolina,USA;School of Environment and Planning,Liaocheng University,Liaocheng,Shandong 252059,China;South China Botanical Garden,Chinese Academy of Sciences,Guangzhou 510650,China) |
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| Abstract: | SUN Leigang;WANG Shaoqiang;Robert A.MICKLER;CHEN Jinghua;YU Quanzhou;QIAN Zhaohui;ZHOU Guoyi;MENG Ze(Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China;Hebei Engineering Research Center for Geographic Information Application,Institute of Geographical Sciences,Hebei Academy of Sciences,Shijiazhuang 050011,China;School of Geography and Information Engineering,China University of Geosciences,Wuhan 430074,China;Department of Forestry and Environmental Resources,North Carolina State University,Raleigh,North Carolina,USA;School of Environment and Planning,Liaocheng University,Liaocheng,Shandong 252059,China;South China Botanical Garden,Chinese Academy of Sciences,Guangzhou 510650,China) |
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| Keywords: | fluorescence reflectance index(FRI) photochemical reflectance index(PRI) photosynthesis gross primary productivity(GPP) light-use efficiency(LUE) subtropical evergreen forest |
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