气候变化领域集成服务门户(CCPortal): Satellite-derived NDVI underestimates the advancement of alpine vegetation growth over the past three decades

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DOI	10.1002/ecy.3518
	Satellite-derived NDVI underestimates the advancement of alpine vegetation growth over the past three decades
	Wang, Hao; Liu, Huiying; Huang, Ni; Bi, Jian; Ma, Xuanlong; Ma, Zhiyuan; Shangguan, Zijian; Zhao, Hongfang; Feng, Qisheng; Liang, Tiangang; Cao, Guangmin; Schmid, Bernhard; He, Jin-Sheng
发表日期	2021
ISSN	0012-9658
EISSN	1939-9170
卷号	102 期号:12
英文摘要	Satellite-derived normalized difference vegetation index (NDVI) data are increasingly relied on to reveal the growth responses of vegetation to climate change, yet the vegetation growth tracking accuracy of these data remains unclear due to a lack of long-term field data. Here, we adopted a unique field-measured seasonal aboveground biomass dataset from 1982-2014 to assess the potential of using satellite-derived NDVI data to match field data in regard to the interannual variability in seasonal vegetation growth in a Tibetan alpine grassland. We revealed that Global Inventory Monitoring and Modeling System (GIMMS) NDVI data captured the advancement of field-measured vegetation growth throughout the entire study period but not from 2000-2014, while MODIS NDVI data still observed this advancing trend after 2000 to a limited extent. However, satellite-derived NDVI data consistently underestimated the advancement degree of field-measured vegetation growth, regardless of whether GIMMS or MODIS NDVI data were considered. We tentatively attribute this underestimation to an increased ratio of grass biomass to forb biomass, which could delay the advancement of NDVI development but not affect that of field-measured biomass development. Our results suggest that satellite-derived NDVI data may miss critical responses of vegetation growth to global climate change, potentially due to long-term shifts in plant community composition.
英文关键词	climate warming; long-term field monitoring; phenology; Qinghai-Tibetan Plateau; remote sensing; vegetation composition
WOS研究方向	Environmental Sciences & Ecology
WOS类目	Ecology
WOS关键词	CLIMATE-CHANGE ; SPECIES COMPOSITION ; SPRING PHENOLOGY ; TIBETAN PLATEAU ; GROWING-SEASON ; PLANT-GROWTH ; PRODUCTIVITY ; FEEDBACKS ; RESPONSES ; MODELS
WOS记录号	WOS:000695082000001
来源期刊	ECOLOGY
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/239429
作者单位	[Wang, Hao; Feng, Qisheng; Liang, Tiangang; He, Jin-Sheng] Lanzhou Univ, Inst Innovat Ecol, State Key Lab Grassland Agroecosyst, Lanzhou 730000, Peoples R China; [Wang, Hao; Feng, Qisheng; Liang, Tiangang; He, Jin-Sheng] Lanzhou Univ, Coll Pastoral Agr Sci & Technol, Lanzhou 730000, Peoples R China; [Liu, Huiying] East China Normal Univ, Sch Ecol & Environm Sci, Shanghai 200241, Peoples R China; [Huang, Ni] Beijing Normal Univ, Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100094, Peoples R China; [Bi, Jian; Ma, Xuanlong] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China; [Ma, Zhiyuan; Shangguan, Zijian; He, Jin-Sheng] Peking Univ, Coll Urban & Environm Sci, Minist Educ, Beijing 100871, Peoples R China; [Ma, Zhiyuan; Shangguan, Zijian; He, Jin-Sheng] Peking Univ, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China; [Zhao, Hongfang] East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China; [Cao, Guangmin] Chin...
推荐引用方式 GB/T 7714	Wang, Hao,Liu, Huiying,Huang, Ni,et al. Satellite-derived NDVI underestimates the advancement of alpine vegetation growth over the past three decades[J]. 中国科学院西北生态环境资源研究院,2021,102(12).
APA	Wang, Hao.,Liu, Huiying.,Huang, Ni.,Bi, Jian.,Ma, Xuanlong.,...&He, Jin-Sheng.(2021).Satellite-derived NDVI underestimates the advancement of alpine vegetation growth over the past three decades.ECOLOGY,102(12).
MLA	Wang, Hao,et al."Satellite-derived NDVI underestimates the advancement of alpine vegetation growth over the past three decades".ECOLOGY 102.12(2021).