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Spatiotemporal dynamic simulation of grassland carbon storage in China

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Science China Earth sciences 2016年第10期59卷 1946-1958页

作者： zhang Li zhou guangsheng JI YuHe BAI YongFei state key laboratory of {3. and environmental change Institute of BotanyChinese Academy of SciencesBeijing 100093China University of chinese academy of sciences Beijing 100049China chinese academy of Meteorological sciences Beijing 100081China

Based on the Terrestrial Ecosystem Model(TEM 5.0), together with the data of climate(temperature, precipitation and solar radiation) and environment(grassland vegetation types, soil texture, altitude, longitude and latitude, and atmospheric CO2 concentration data), the spatiotemporal variations of carbon storage and density, and their controlling factors were discussed in this paper. The results indicated that:(1) the total carbon storage of China's grasslands with a total area of 3.4.93.104 km2 was 59.47 Pg C. Among them, there were 3.15 Pg C in vegetation and 56.3. Pg C in soil carbon. China's grasslands covering 7.0–11.3. of the total world's grassland area had 1.3.11.3. of the vegetation carbon and 9.7–22.5% of the soil carbon in the world grasslands. The total carbon storage increased from 59.13.to 60.16 Pg C during 1961–2013.with an increasing rate of 19.4 Tg C yr^(-1).(2) The grasslands in the Qinghai-Tibetan Plateau contributed most to the total carbon storage during 1961–2013. accounting for 63.2% of the total grassland carbon storage, followed by Xinjiang grasslands(15.8%) and Inner Mongolia grasslands(11.1%).(3. The vegetation carbon storage showed an increasing trend, with the average annual growth rate of 9.62 Tg C yr^(-1) during 1961–2013. and temperature was the main determinant factor, explaining approximately 85% of its variation. The vegetation carbon storage showed an increasing trend in most grassland regions, however, a decreasing trend in the central grassland in the southern China, the western and central parts of the Inner Mongolian grasslands as well as some parts on the Qinghai-Tibetan Plateau. The soil carbon storage showed a significantly increasing trend with a rate of 7.96 Tg C yr^(-1), which resulted from the interaction of more precipitation and low temperature in the 1980 s and 1990 s. Among them, precipitation was the main determinant factor of increasing soil carbon increases of China's grasslands.

关键词： China's grasslands Soil carbon vegetation carbon Spatiotemporal dynamics Simulation

Remote estimation of the fraction of absorbed photosynthetically active radiation for a maize canopy in Northeast China

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Journal of Plant Ecology 2015年第4期8卷 429-435页

作者： Feng zhang guangsheng zhou Christer Nilsson state key laboratory of {3. and environmental change Institute of BotanyChinese Academy of Sciences20 NanxincunXiangshanHaidian DistrictBeijing 100093China chinese academy of Meteorological sciences 46 Zhongguancun South StreetHaidian DistrictBeijing 100081China Landscape Ecology Group Department of Ecology and Environmental ScienceUmeåUniversityUmeåSE-90187Sweden

Aims accurate remote estimation of the fraction of absorbed photosynthetically active radiation(fAPAR)is essential for the light use efficiency(LUE)***,one challenge for the LUE models is lack of knowledge about the relationship between fAPAR and the normalized difference vegetation index(NDVI).Few studies have tested this relationship against field measurements and evaluated the accuracy of the remote estimation *** study aimed to reveal the empirical relationship between NDVI and fAPAR and to improve algorithms for remote estimation of *** to investigate the method of remote estimation of fAPAR seasonal dynamics,the CASA(Carnegie-ames-stanford approach)model and spectral vegetation indices(VIs)were used for in situ measure-ments of spectral reflectance and fAPAR during the growing season of a maize canopy in Northeast *** Findingsthe results showed that the fAPAR increased rapidly with the day of year during the vegetative stage,it remained relatively stable at the stage of reproduction,and finally decreased slowly during the senescence *** addition,fAPAR green[fAPAR_(green)=fAPAR_(green) -fAPAR_(green) LAI_(max))]showed clearer seasonal trends than *** NDVI,red-edge NDVI,wide dynamic range vegetation index,red-edge position(REP)and REP with sentinel-2 bands derived from hyperspectral remote sensing data were all significantly positively related to fAPAR green during the entire growing *** a comparison of the predictive performance of VIs for the whole growing season,REP was the most appropriate spectral index,and can be recommended for monitoring seasonal dynamics of fAPAR in a maize canopy.

关键词： fraction of absorbed photosynthetically active radiation hyperspectral remote sensing maize canopy spectral vegetation indices

Predicting community traits along an alpine grassland transect using field imaging spectroscopy

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Journal of Integrative Plant Biology 2023年第12期65卷 2604-2618页

作者： Feng zhang Wenjuan Wu Lang Li Xiaodi Liu guangsheng zhou Zhenzhu Xu state key laboratory of {3. and environmental change Institute of Botanythe Chinese Academy of SciencesBeijing100093 China China National Botanical Garden Beijing100093 China University of chinese academy of sciences Beijing100049 China chinese academy of Meteorological sciences Beijing100081 China

Assessing plant community traits is important for understanding how terrestrial ecosystems respond and adapt to global climate *** hyperspectral remote sensing is effective for quantitatively estimating vegetation properties in most terrestrial ecosystems,although it remains to be tested in areas with dwarf and sparse vegetation,such as the Tibetan *** measured canopy reflectance in the Tibetan Plateau using a handheld imaging spectrometer and conducted plant community investigations along an alpine grassland *** estimated community structural and functional traits,as well as community function based on a field survey and laboratory analysis using 14 spectral vegetation indices(VIs)derived from hyperspectral *** quantified the contributions of environmental drivers,VIs,and community traits to community function by structural equation modelling(SEM).Univariate linear regression analysis showed that plant community traits are best predicted by the normalized difference vegetation index,enhanced vegetation index,and simple *** equation modelling showed that VIs and community traits positively affected community function,whereas environmental drivers and specific leaf area had the opposite ***,VIs integrated with environmental drivers were indirectly linked to community function by characterizing the variations in community structural and functional *** study demonstrates that community-level spectral reflectance will help scale plant trait information measured at the leaf level to larger-scale ecological *** imaging spectroscopy represents a promising tool to predict the responses of alpine grassland communities to climate change.

关键词： aboveground net primary productivity canopy chlorophyll content canopy leaf nitrogen concentration fractional vegetation cover hyperspectral remote sensing Tibetan Plateau

夏玉米不同生育期叶片和冠层含水量的遥感反演

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应用气象学报 2020年第1期31卷 52-62页

作者：刘二华周广胜周莉张峰中国气象科学研究院北京100081 南京信息工程大学气象灾害预报预警与评估协同创新中心南京210044 中国科学院植物研究所植被与环境变化国家重点试验室北京100093

高光谱遥感技术监测作物含水量是了解作物生长状况的重要技术。为实现夏玉米不同生育期叶片和冠层含水量的快速、精细化、无损监测,本文基于2014年和2015年的6-10月华北夏玉米不同生育期不同灌水量干旱模拟试验数据构建了植被水分指数(W... 详细信息

高光谱遥感技术监测作物含水量是了解作物生长状况的重要技术。为实现夏玉米不同生育期叶片和冠层含水量的快速、精细化、无损监测,本文基于2014年和2015年的6-10月华北夏玉米不同生育期不同灌水量干旱模拟试验数据构建了植被水分指数(WI,MSI,GVWI)、复比指数(WNV和WCG)和红边反射率曲线面积(Darea)的夏玉米冠层等效水厚度(EWTC)和叶片可燃物含水量(FMC)的反演模型。结果表明:6个指标反演夏玉米三叶期的EWTC模型均未达到0.05显著性水平,三叶期后各指标反演EWTC模型均达到0.01的显著性水平,且总体而言模型精度从高到低为抽雄期、拔节期、灌浆期、成熟期和七叶期。6个指标反演七叶期和拔节期的FMC均达到0.01显著性水平。因此,同一光谱指标反演夏玉米不同生育期叶片和冠层含水量的精度差异较大。光谱指标反演夏玉米叶片和冠层含水量指标的精度与夏玉米生育期有很大关系,进而提出了夏玉米不同生育期含水量反演模型。研究结果可为准确模拟夏玉米不同生育期含水量提供技术支撑。

关键词：高光谱夏玉米植被水分指数复比指数不同生育期

2000-2010年中国典型陆地生态系统实际蒸散量和水分利用效率数据集

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中国科学数据（中英文网络版） 2019年第1期4卷 55-68页

作者：郑涵于贵瑞朱先进王秋凤张雷明陈智孙晓敏何洪林苏文王艳芬韩士杰周国逸赵新全王辉民欧阳竹张宪洲张扬建石培礼李英年赵亮张一平闫俊华王安志张军辉郝彦宾赵风华张法伟周广胜林光辉陈世苹刘绍民赵斌贾根锁张旭东张玉翠古松刘文兆李彦王文杰杨大文张劲松张志强赵仲辉周石硚郭海强沈彦俊徐自为黄辉孟平中国科学院地球环境研究所黄土与第四纪地质国家重点实验室西安710061 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北京100101 中国科学院大学北京100190 沈阳农业大学农学院沈阳110161 中国科学院沈阳应用生态研究所森林生态与管理重点实验室沈阳110016 中国科学院华南植物园广州510650 中国科学院西北高原生物研究所西宁810008 中国科学院西双版纳植物园热带森林生态学重点实验室云南勐仑666303 中国气象科学研究院北京100081 清华大学地球系统科学系北京100084 中国科学院植物研究所植被与环境变化国家重点实验室北京100093 北京师范大学地理科学学部地表过程与资源生态国家重点实验室北京100875 复旦大学生物多样性与生态工程教育部重点实验室上海200433 中国科学院大气物理研究所东亚区域气候-环境重点实验室北京100029 中国林业科学研究院林业研究所北京100091 中国科学院遗传与发育生物学研究所农业资源研究中心石家庄050021 西北农林科技大学水土保持研究所黄土高原土壤侵蚀与旱地农业国家重点实验室杨凌712100 中国科学院新疆生态与地理研究所荒漠与绿洲生态国家重点实验室乌鲁木齐830011 东北林业大学森林植物生态学教育部重点实验室哈尔滨150040 清华大学水利水电工程系北京100084 北京林业大学水土保持学院北京100083 中南林业科技大学生命科学与技术学院长沙410004 中国科学院青藏高原研究所北京100101

蒸散是陆地生态系统水分循环和能量平衡的关键过程,水分利用效率是反映生态系统碳水循环间耦合关系的重要指标,二者在生态学、农学、水文学、气候学等多个学科中均具有重要的应用价值。涡度相关法被认为是现今唯一能直接测量生物圈与大... 详细信息

蒸散是陆地生态系统水分循环和能量平衡的关键过程,水分利用效率是反映生态系统碳水循环间耦合关系的重要指标,二者在生态学、农学、水文学、气候学等多个学科中均具有重要的应用价值。涡度相关法被认为是现今唯一能直接测量生物圈与大气间物质与能量交换通量的标准方法,已成为生态系统尺度碳水交换通量观测的主要方法。本文通过整合中国陆地生态系统通量观测联盟(ChinaFLUX)的长期观测数据和中国区域其他观测站点基于涡度相关法发表的文献数据,构建了一套中国典型陆地生态系统实际蒸散量和水分利用效率数据集。本数据集共有实际蒸散量数据记录143.、水分利用效率数据记录96条,涉及5种生态系统类型45个生态系统,时间跨度为2000–2010年。本数据集可以为陆地生态系统碳水循环、生态系统管理和评估、全球变化等相关领域的研究提供数据支持。

关键词：实际蒸散量水分利用效率涡度相关陆地生态系统中国 ChinaFLUX