NET PRIMARY PRODUCTION
; TEMPORAL VARIABILITY
; LAND-SURFACE
; VEGETATION
; TEMPERATURE
; PHENOLOGY
; ECOSYSTEMS
; RESPONSES
; CHINA
; PRECIPITATION
WOS学科分类:
Environmental Sciences
WOS研究方向:
Environmental Sciences & Ecology
英文摘要:
Monitoring and mapping the sensitivity of grassland ecosystems to climate change is crucial for developing sustainable local grassland management strategies. The sensitivity of alpine grasslands to climate change is considered to be high on the Qinghai-Tibet Plateau (QTP), yet little is known about its spatial pattern, and particularly the variations between different elevations. Here, based on the Normalized Difference Vegetation Index (NDVI) and three climate variables (air temperature, precipitation, and solar radiation), we modified a vegetation sensitivity index-approach to capture the relative sensitivity of alpine grassland productivity to climate variability on the QTP during 2000-2016. The results show that alpine grasslands on the southern QTP are more sensitive to climate variability overall, and that the climate factors driving alpine grassland dynamics are spatially heterogeneous. Alpine grasslands on the southern QTP are more sensitive to temperature variability, those on the northeastern QTP display strong responses to precipitation variability, and those on the central QTP are primarily influenced by a combination of radiation and temperature variability. The sensitivity of alpine grasslands to climate variability increases significantly along an elevational gradient, especially to temperature variability. This study underscores that alpine grasslands at higher elevations on the QTP are more sensitive to climate variability than those at lower elevations at the regional scale. (C) 2019 Elsevier B.V. All rights reserved.
1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China 4.Free Univ Berlin, Inst Biol Biodivers Theoret Ecol, D-14195 Berlin, Germany 5.China Univ Geosci, Sch Publ Adm, Wuhan 430074, Hubei, Peoples R China 6.Jiangxi Normal Univ, Sch Geog & Environm, Minist Educ, Key Lab Poyang Lake Wetland & Watershed Res, Nanchang 330028, Jiangxi, Peoples R China
Recommended Citation:
Li, Lanhui,Zhang, Yili,Wu, Jianshuang,et al. Increasing sensitivity of alpine grasslands to climate variability along an elevational gradient on the Qinghai-Tibet Plateau[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019-01-01,678:21-29