气候变化领域集成服务门户(CCPortal): SIF-Based GPP Is a Useful Index for Assessing Impacts of Drought on Vegetation: An Example of a Mega-Drought in Yunnan Province, China

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DOI	10.3390/rs14061509
	SIF-Based GPP Is a Useful Index for Assessing Impacts of Drought on Vegetation: An Example of a Mega-Drought in Yunnan Province, China
	Li, Chuanhua; Peng, Lixiao; Zhou, Min; Wei, Yufei; Liu, Lihui; Li, Liangliang; Liu, Yunfan; Dou, Tianbao; Chen, Jiahao; Wu, Xiaodong
通讯作者	Li, CH (通讯作者)，Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Peoples R China. ; Li, CH (通讯作者)，Key Lab Resource Environm & Sustainable Dev Oasis, Lanzhou 730000, Peoples R China.
发表日期	2022
EISSN	2072-4292
卷号	14 期号:6
英文摘要	The impact of drought on terrestrial ecosystem Gross Primary Productivity (GPP) is strong and widespread; therefore, it is important to study the response of terrestrial ecosystem GPP to drought. In this paper, we compared the correlations of Sun-induced Chlorophyll fluorescence (SIF), Enhanced Vegetation Index (EVI), and Normalized Differential Vegetation Index (NDVI) with the drought index sc_PDSI, estimated GPP in Yunnan Province, China, based on SIFTOTAL data (SIF data with canopy effects eliminated), and analyzed the response characteristics of GPP to drought for one mega-drought event (2009-2011) in combination with the sc_PDSI drought index. The results show that SIF is more sensitive to drought than the NDVI and EVI; the correlation between the GPP estimated based on SIF data (GPP(SIF)) and the actual observed flux values (R-2 = 0.83) is better than GPP(GLASS) and GPP(LUE), and the RMSE is also lower than those two products. This drought has a serious impact on GPP, and the monthly average values of the effect of drought on GPP (GPPd) in Yunnan Province in 2009, 2010, and 2011 are -11.37 gC center dot m(-2)center dot month(-1), -23.48 gC center dot m(-2)center dot month(-1) and -17.92 gC center dot m(-2)center dot month(-1), which are 8.6%, 17.48% and 13.85% of the monthly average in a normal year, respectively. The spatial variability of GPP response to drought is significant, which is mainly determined by the degree, and duration of the drought, the vegetation type, the topography, and anthropogenic factors. In conclusion, GPP(SIF) quickly and accurately reflects the process of this drought, and this study helps to elucidate the response of GPP to drought conditions and provides more scientific information for drought prediction and ecosystem management.
关键词	STATE CHLOROPHYLL FLUORESCENCE NET ECOSYSTEM EXCHANGE WATER-STRESS PRODUCTIVITY ASSIMILATION REDUCTION RESPONSES DRY
英文关键词	Sun-induced Chlorophyll fluorescence (SIF); drought; Gross Primary Productivity (GPP); Yunnan; vegetation
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000774499400001
来源期刊	REMOTE SENSING
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/254985
作者单位	[Li, Chuanhua; Peng, Lixiao; Zhou, Min; Wei, Yufei; Liu, Lihui; Li, Liangliang; Liu, Yunfan; Dou, Tianbao; Chen, Jiahao] Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Peoples R China; [Li, Chuanhua] Key Lab Resource Environm & Sustainable Dev Oasis, Lanzhou 730000, Peoples R China; [Wu, Xiaodong] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Cryosphere Res Stn Qinghai Tibet Plateau, Lanzhou 730000, Peoples R China
推荐引用方式 GB/T 7714	Li, Chuanhua,Peng, Lixiao,Zhou, Min,et al. SIF-Based GPP Is a Useful Index for Assessing Impacts of Drought on Vegetation: An Example of a Mega-Drought in Yunnan Province, China[J]. 中国科学院西北生态环境资源研究院,2022,14(6).
APA	Li, Chuanhua.,Peng, Lixiao.,Zhou, Min.,Wei, Yufei.,Liu, Lihui.,...&Wu, Xiaodong.(2022).SIF-Based GPP Is a Useful Index for Assessing Impacts of Drought on Vegetation: An Example of a Mega-Drought in Yunnan Province, China.REMOTE SENSING,14(6).
MLA	Li, Chuanhua,et al."SIF-Based GPP Is a Useful Index for Assessing Impacts of Drought on Vegetation: An Example of a Mega-Drought in Yunnan Province, China".REMOTE SENSING 14.6(2022).