Arid
DOI10.1016/j.gecco.2019.e00723
Spatio-temporal variation in grassland degradation and its main drivers, based on biomass: Case study in the Altay Prefecture, China
Zhang, Guangpeng1,2,3; Yan, Junjie1,2,4; Zhu, Xiaotong1,2,3; Ling, Hongbo1,2; Xu, Hailiang1,2
通讯作者Ling, Hongbo
来源期刊GLOBAL ECOLOGY AND CONSERVATION
ISSN2351-9894
出版年2019
卷号20
英文摘要Analyzing the spatio-temporal characteristics and identifying of main factors that drive grassland degradation are essential for formulating ecological restoration measures for grassland. In this study, we addressed two main scientific questions: (1) how to accurately characterize the spatial and temporal variability in grassland degradation; and (2) how to identify the dominant factors that affect grassland degradation. Based on the data obtained from 270 field sampling points (912 quadrats) and MODIS, we selected the temperature vegetation dryness index (TVDI), vegetation coverage ( VC), biomass and ecosystem service values (ESVs) to study the degradation of grassland in Altay Prefecture, China. From 2000 to 2016, the area with decrease in TVDI accounted for 93.4% of the total grassland. The VC values in the warm steppe and mountain meadow areas decreased by 5.3% and 1.6%, respectively, and the biomass decreased by 80% and 76.4% in these areas. Compared with 2000-2005, the mean total ESVs decreased by 5.1% in 2011-2016, where the reductions in the ESVs for warm steppe and mountain meadow accounted for 54.3% and 38% of the total reduction, respectively. The results showed that the degradation trends were more significant in the warm steppe and mountain meadow than the other land types. These findings improve our understanding of the spatial heterogeneity of grassland degradation. Human disturbance was the main factor responsible for grassland degradation in Altay Prefecture, according to the framework developed in this study based on biomass and TVDI metrics. Our results provide a reference for characterizing the spatio-temporal variability of grassland degradation by combining statistical and spatial analyses, as well as a simple framework for application in similar regions to analyze the effects of climate change and human disturbance on grassland degradation. (c) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
英文关键词Grassland degradation Biomass Ecosystem service values TVDI Human activities Altay
类型Article
语种英语
国家Peoples R China
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000498226800034
WOS关键词ECOSYSTEM-SERVICE VALUES ; CLIMATE-CHANGE ; SOIL-MOISTURE ; PRIMARY PRODUCTIVITY ; LAND DEGRADATION ; NORTHWEST CHINA ; ARID REGIONS ; WATER-UPTAKE ; VEGETATION ; DYNAMICS
WOS类目Biodiversity Conservation ; Ecology
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
EI主题词2019-10-01
来源机构中国科学院新疆生态与地理研究所 ; 新疆大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/310250
作者单位1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, 818 Beijing South Rd, Urumqi 830011, Peoples R China;
2.Xinjiang Aksu Oasis Agroecosyst Observat & Expt S, Urumqi, Peoples R China;
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
4.Xinjiang Univ, Coll Resource & Environm Sci, Urumqi 830046, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Guangpeng,Yan, Junjie,Zhu, Xiaotong,et al. Spatio-temporal variation in grassland degradation and its main drivers, based on biomass: Case study in the Altay Prefecture, China[J]. 中国科学院新疆生态与地理研究所, 新疆大学,2019,20.
APA Zhang, Guangpeng,Yan, Junjie,Zhu, Xiaotong,Ling, Hongbo,&Xu, Hailiang.(2019).Spatio-temporal variation in grassland degradation and its main drivers, based on biomass: Case study in the Altay Prefecture, China.GLOBAL ECOLOGY AND CONSERVATION,20.
MLA Zhang, Guangpeng,et al."Spatio-temporal variation in grassland degradation and its main drivers, based on biomass: Case study in the Altay Prefecture, China".GLOBAL ECOLOGY AND CONSERVATION 20(2019).
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