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Contributions of climatic and non-climatic drivers to grassland variations on the Tibetan Plateau

文献类型：期刊论文

作者Pan, Tao2; Zou, Xintong1,2; Liu, Yujie2; Wu, Shaohong2; He, Guangming3
刊名ECOLOGICAL ENGINEERING
出版日期2017-11-01
卷号108页码:307-317
ISSN号0925-8574
关键词Non-climatic and climatic drivers Contribution Grassland variations NDVI Ecological programs Tibetan Plateau (TP)
DOI10.1016/j.ecoleng.2017.07.039
通讯作者Liu, Yujie(liuyujie@igsnrr.ac.cn)
英文摘要Grasslands cover a large portion of the global land surface, providing crucial ecosystem services for humans. During the past decades, grasslands of the Tibetan Plateau (TP), which is the highest plateau over the world, have experienced dramatic changes, especially degradation caused by intensifying climatic (e.g., warming, drying) and non-climatic (e.g., land use changes) drivers. However, it remains unclear how quantitatively different drivers contribute to grassland changes, which is critical for various stakeholders to make informative decisions to mitigate these changes. Here, we proposed a two-step methodology to tackle this challenge. First, the effects of land use changes on grassland distribution were investigated. Then the contributions of climatic and non-climatic drivers were discriminated through the differences between observed Normalized Difference Vegetation Index (NDVI) and simulated NDVI based on General Linear Models (GLM). Results show that the area of grasslands decreased from 1980 to 2010 due to land use changes. The area converted from grasslands to other land covers was larger than that converted from other land covers to grasslands. Grassland NDVI without land use changes did not increase significantly. Climatic drivers such as warming and wetting were beneficial to grassland quality, but continuous drying probably induced grassland degradation. Non-climatic drivers such as ecological programs improved grassland quality, while overgrazing might result in grassland degradation. Our findings indicate the impacts of non-climatic drivers on grassland variations were more intense than that of the climatic drivers in the past three decades. The relative contribution rate of non-climatic drivers (66.07%) doubled that of climatic drivers (33.93%) to grassland variations. The impacts of climatic drivers were relatively slow but persistent. Non-climatic drivers like ecological programs could effectively mitigate grassland degradation induced by land use changes or continuous drying on the TP. This study could provide scientific support for grassland restoration and management on the TP.
WOS关键词LAND-COVER CHANGE ; NDVI TIME-SERIES ; VEGETATION DYNAMICS ; ALPINE MEADOW ; ANTHROPOGENIC ACTIVITIES ; RANGELAND DEGRADATION ; RESTORATION PROJECTS ; DRIVING FORCES ; ORGANIC-CARBON ; TREND ANALYSIS
资助项目National Natural Science Foundation of China[41671107] ; National Natural Science Foundation of China[41301092] ; Youth Innovation Promotion Association of Chinese Academy of Sciences[2016049]
WOS研究方向Environmental Sciences & Ecology ; Engineering
语种英语
出版者ELSEVIER SCIENCE BV
WOS记录号WOS:000412127500035
资助机构National Natural Science Foundation of China ; Youth Innovation Promotion Association of Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/62113]  
专题陆地表层格局与模拟院重点实验室_外文论文
通讯作者Liu, Yujie
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
3.Michigan State Univ, MSU Innovat Ctr, E Lansing, MI 48823 USA
推荐引用方式
GB/T 7714		 Pan, Tao,Zou, Xintong,Liu, Yujie,et al. Contributions of climatic and non-climatic drivers to grassland variations on the Tibetan Plateau[J]. ECOLOGICAL ENGINEERING,2017,108:307-317.
APA Pan, Tao,Zou, Xintong,Liu, Yujie,Wu, Shaohong,&He, Guangming.(2017).Contributions of climatic and non-climatic drivers to grassland variations on the Tibetan Plateau.ECOLOGICAL ENGINEERING,108,307-317.
MLA Pan, Tao,et al."Contributions of climatic and non-climatic drivers to grassland variations on the Tibetan Plateau".ECOLOGICAL ENGINEERING 108(2017):307-317.

入库方式： OAI收割

来源：地理科学与资源研究所

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