Literature DB >> 31075588

Increasing sensitivity of alpine grasslands to climate variability along an elevational gradient on the Qinghai-Tibet Plateau.

Lanhui Li1, Yili Zhang2, Jianshuang Wu3, Shicheng Li4, Binghua Zhang1, Jiaxing Zu1, Huamin Zhang5, Mingjun Ding5, Basanta Paudel6.   

Abstract

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.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Alpine grassland; Climate variability; Elevation; Qinghai-Tibet Plateau; Vegetation sensitivity index

Mesh:

Year:  2019        PMID: 31075588     DOI: 10.1016/j.scitotenv.2019.04.399

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Vegetation dynamic analysis based on multisource remote sensing data in the east margin of the Qinghai-Tibet Plateau, China.

Authors:  Haijun Wang; Peihao Peng; Xiangdong Kong; Tingbin Zhang; Guihua Yi
Journal:  PeerJ       Date:  2019-12-13       Impact factor: 2.984

2.  Assessing influences of climate change on highland barley productivity in the Qinghai-Tibet Plateau during 1978-2017.

Authors:  Zemin Zhang; Changhe Lu
Journal:  Sci Rep       Date:  2022-05-10       Impact factor: 4.996

3.  Sensitivity and future exposure of ecosystem services to climate change on the Tibetan Plateau of China.

Authors:  Ting Hua; Wenwu Zhao; Francesco Cherubini; Xiangping Hu; Paulo Pereira
Journal:  Landsc Ecol       Date:  2021-08-24       Impact factor: 3.848

4.  Modeling of the Potential Geographical Distribution of Three Fritillaria Species Under Climate Change.

Authors:  Ruiping Jiang; Meng Zou; Yu Qin; Guodong Tan; Sipei Huang; Huige Quan; Jiayu Zhou; Hai Liao
Journal:  Front Plant Sci       Date:  2022-01-10       Impact factor: 5.753

5.  Interspecific trait variability and local soil conditions modulate grassland model community responses to climate.

Authors:  Franklin Alongi; Jana H Rüthers; Justyna Giejsztowt; Katrina LaPaglia; Anke Jentsch
Journal:  Ecol Evol       Date:  2022-02-22       Impact factor: 2.912

  5 in total

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