干旱区生态环境知识资源中心(Arid): Phenology of Vegetation in Arid Northwest China Based on Sun-Induced Chlorophyll Fluorescence

Arid

DOI	10.3390/f14122310
	Phenology of Vegetation in Arid Northwest China Based on Sun-Induced Chlorophyll Fluorescence
	Chen, Zhizhong; Zan, Mei; Kong, Jingjing; Yang, Shunfa; Xue, Cong
通讯作者	Zan, M
来源期刊	FORESTS
EISSN	1999-4907
出版年	2023
卷号	14 期号:12
英文摘要	The accurate monitoring of vegetation phenology is critical for carbon sequestration and sink enhancement. Vegetation phenology in arid zones is more sensitive to climate responses; therefore, it is important to conduct research on phenology in arid zones in response to global climate change. This study compared the applicability of the enhanced vegetation index (EVI), which is superior in arid zones, and global solar-induced chlorophyll fluorescence (GOSIF), which has a high spatial resolution, in extracting vegetation phenology in arid zones, and explored the mechanism of the differences in the effects of environmental factors on the phenology of different vegetation types. Therefore, this study employed a global solar-induced chlorophyll fluorescence (GOSIF) dataset to determine the start and end of the vegetation growth season (SOSSIF and EOSSIF, respectively) in the arid zone of Northwest China from 2001 to 2019. The results were compared with those from the EVI-based MODIS climate product MCD12Q2 (SOSEVI and EOSEVI). Variations in the sensitivity of these climatic datasets concerning temperature, precipitation, and standardised precipitation evapotranspiration index (SPEI) were assessed through partial correlation analysis. Results: Compared to the MCD12Q2 climatic products, SOSSIF and EOSSIF closely matched the observed climate data in the study area. Spring onset was delayed at higher altitudes and latitudes, and the end of the growing season occurred earlier in these areas. Both SOSSIF and EOSSIF significantly advanced from 2001 to 2019 (trend degrees -0.22 and -0.48, respectively). Spring vegetation phenology was chiefly influenced by precipitation while autumn vegetation phenology was driven by both precipitation and SPEI. GOSIF-based climate data provides a more accurate representation of vegetation phenology compared to traditional vegetation indices. The findings of this study contribute to a deeper understanding of the potential ability of EVI and SIF to reveal the influence of vegetation phenology on the carbon cycle.
英文关键词	vegetation phenology GOSIF partial correlation analysis SPEI arid zone
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001131308500001
WOS关键词	GROSS PRIMARY PRODUCTION ; SPRING PHENOLOGY ; CLIMATE-CHANGE ; CANOPY PHOTOSYNTHESIS ; TEMPERATURE ; SENSITIVITY ; FORESTS ; INDEXES ; REGION ; MODIS
WOS类目	Forestry
WOS研究方向	Forestry
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396453
推荐引用方式 GB/T 7714	Chen, Zhizhong,Zan, Mei,Kong, Jingjing,et al. Phenology of Vegetation in Arid Northwest China Based on Sun-Induced Chlorophyll Fluorescence[J],2023,14(12).
APA	Chen, Zhizhong,Zan, Mei,Kong, Jingjing,Yang, Shunfa,&Xue, Cong.(2023).Phenology of Vegetation in Arid Northwest China Based on Sun-Induced Chlorophyll Fluorescence.FORESTS,14(12).
MLA	Chen, Zhizhong,et al."Phenology of Vegetation in Arid Northwest China Based on Sun-Induced Chlorophyll Fluorescence".FORESTS 14.12(2023).