Arid
DOI10.1016/j.scitotenv.2019.136391
Carrying capacity for vegetation across northern China drylands
Zhang, Jutao1; Zhang, Yuqing1,2; Qin, Shugao1,3; Wu, Bin1,2; Ding, Guodong1,2; Wu, Xiuqin1,3; Gao, Yan1; Zhu, Yakun1
通讯作者Zhang, Yuqing
来源期刊SCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
EISSN1879-1026
出版年2020
卷号710
英文摘要Revegetation and afforestation across drylands for establishing sustainable ecosystems requires a comprehensive understanding of the carrying capacity for vegetation (CCV) at the regional scale. To determine the CCV across drylands in northern China, we developed a technical framework based on two measures of leaf area index (LAI): maximum LAI (Max-LAI) and safe LAI (Safe-LAI), and their thresholds, CCVmax and CCVsafe, for six drylands (Horqin, Hulun Buir, Otindag, Mu Us, Tengger, and Junggar) using remote sensing datasets from 2000 to 2014. We also predicted dynamics of CCV of the drylands over the next decade (2015-2024) by establishing optimal prediction models based on environmental factors (temperature, precipitation, potential evapotranspiration, and elevation). According to these models, the Max-LAI threshold (range: 0.36-1.03 m(2)/m(2)) and Safe-LAI threshold (0.29-0.70 m(2)/m(2)) declined from east to west with decreases in aridity index. Under current climatic variability and anthropogenic disturbances, the CCV in most drylands would have positive increments (approximately 15%), except in the Horqin (approximately -15%) and Tengger (slight changes), during the following decade. This indicates that there is scope for improving vegetation coverage in most drylands, except in the Horqin and Tengger. Our results suggest that revegetation and ecosystem management to prevent ongoing desertification should be carried out at the regional scale. Although it does not account for biocrusts, artificially introduced vegetation, underground water, and other vegetation attributes (e.g., density and biomass), our technical framework and results might nonetheless be valuable in evaluating regional ecological security and guiding vegetation restoration of drylands across northern China. (C) 2020 Elsevier B.V. All rights reserved.
英文关键词Dryland ecosystem Leaf area index Multivariate empirical dynamic modelling Vegetation threshold Vegetation sensitivity
类型Article
语种英语
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000511088800022
WOS关键词LEAF-AREA INDEX ; TERRESTRIAL ECOSYSTEMS ; STAND DENSITY ; CLIMATE ; MODEL ; WATER ; DESERTIFICATION ; DESERT ; LAND ; DEGRADATION
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
来源机构北京林业大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/315518
作者单位1.Beijing Forestry Univ, Sch Soil & Water Conservat, Yanchi Res Stn, Beijing 100083, Peoples R China;
2.Beijing Forestry Univ, Key Lab State Forestry Adm Soil & Water Conservat, Beijing 100083, Peoples R China;
3.Beijing Forestry Univ, Engn Res Ctr Forestry Ecol Engn, Minist Educ, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Jutao,Zhang, Yuqing,Qin, Shugao,et al. Carrying capacity for vegetation across northern China drylands[J]. 北京林业大学,2020,710.
APA Zhang, Jutao.,Zhang, Yuqing.,Qin, Shugao.,Wu, Bin.,Ding, Guodong.,...&Zhu, Yakun.(2020).Carrying capacity for vegetation across northern China drylands.SCIENCE OF THE TOTAL ENVIRONMENT,710.
MLA Zhang, Jutao,et al."Carrying capacity for vegetation across northern China drylands".SCIENCE OF THE TOTAL ENVIRONMENT 710(2020).
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