首页|Responses of aboveground biomass of alpine grasslands to climate changes on the Qinghai-Tibet Plateau

Responses of aboveground biomass of alpine grasslands to climate changes on the Qinghai-Tibet Plateau

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Aboveground biomass in grasslands of the Qinghai-Tibet Plateau has displayed an overall increasing trend during 2003-2016,which is profoundly influenced by climate change.However,the responses of different biomes show large discrepancies,in both size and magnitude.By applying partial least squares regression,we calculated the correlation between peak aboveground biomass and mean monthly temperature and monthly total precipitation in the preceding 12 months for three different grassland types (alpine steppe,alpine meadow,and temperate steppe) on the central and eastern Qinghai-Tibet Plateau.The results showed that mean temperature in most preceding months was positively correlated with peak aboveground biomass of alpine meadow and alpine steppe,while mean temperature in the preceding October and February to June was significantly negatively correlated with peak aboveground biomass of temperate steppe.Precipitation in all months had a promoting effect on biomass of alpine meadow,but its correlations with biomass of alpine steppe and temperate steppe were inconsistent.It is worth noting that,in a warmer,wetter climate,peak aboveground biomass of alpine meadow would increase more than that of alpine steppe,while that of temperate steppe would decrease significantly,providing support for the hypothesis of conservative growth strategies by vegetation in stressed ecosystems.

grasslandsaboveground biomasspartial least squaresQinghai-Tibet Plateauclimate change

WANG Li、YU Haiying、ZHANG Qiang、XU Yunjia、TAO Zexing、ALATALO Juha、DAI Junhu

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College of Atmospheric Science, Lanzhou University, Lanzhou 730000, China

Qinghai Institute of Meteorological Science, Xining 810001, China

Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China

College of Agroforestry Engineering and Planning, Tongren University, Tongren 554300, Guizhou, China

Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

University of Chinese Academy of Sciences, Beijing 100049, China

Department of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, Doha P.O.Box 2713, Qatar

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National Key R&D Program of ChinaNational Natural Science Foundation of ChinaNational Key Technology Support Program

2018YFA0606102417710562012BAH31B02

2018

地理学报(英文版)
中国地理学会,中国科学院地理科学与资源研究所

地理学报(英文版)

CSTPCDCSCDSCI
影响因子：1.307
ISSN：1009-637X
年,卷(期)：2018.28(12)
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