NWIPB OpenIR
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
2021
Source PublicationECOLOGY
AbstractSatellite-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.
Keywordclimate warming long-term field monitoring phenology Qinghai-Tibetan Plateau remote sensing vegetation composition
Document Type期刊论文
Identifierhttp://210.75.249.4/handle/363003/60719
Collection中国科学院西北高原生物研究所
Recommended Citation
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]. ECOLOGY,2021.
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.
MLA Wang, Hao,et al."Satellite-derived NDVI underestimates the advancement of alpine vegetation growth over the past three decades".ECOLOGY (2021).
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