中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Estimating the optimal vegetation coverage for the dominant tree and shrub species over China's northwest drylands

文献类型:期刊论文

作者Zhang, Zhongdian; Jia, Xiaoxu; Zhu, Ping; Huang, Mingbin; Ren, Lidong; Shao, Ming'an
刊名SCIENCE CHINA-EARTH SCIENCES
出版日期2024-04-18
卷号N/A
关键词Optimal vegetation coverage Water balance Leaf area index Biome-BGC model Dryland
DOI10.1007/s11430-023-1287-x
产权排序2
文献子类Article ; Early Access
英文摘要Anthropogenic revegetation is an effective way to control soil erosion and restore degraded ecosystems in China's northwest drylands (NWD). However, excessive vegetation cover expansion has long been known to increase evapotranspiration, leading to reduced local water availability, which can in turn threaten the health and services of restored ecosystems. Determining the optimal vegetation coverage (OVC) is critical for balancing the trade-off between plant growth and water consumption in water-stressed areas, yet quantitative assessments over the entire NWD are still lacking. In this study, a modified Biome BioGeochemical Cycles (Biome-BGC) model was used to simulate the long-term (1961-2020) dynamics of actual evapotranspiration (ETa), net primary productivity (NPP), and leaf area index (LAI) for the dominant non-native tree (R. pseudoacacia and P. sylvestris) and shrub (C. korshinkii and H. rhamnoides) species at 246 meteorological sites over NWD. The modified model incorporated the Richards equation to simulate transient unsaturated water flow in a multilayer soil module, and both soil and eco-physiological parameters required by the model were validated using field-observed ETa data for each species. Spatial distributions of OVC (given by the mean maximum LAI, LAImax) for the dominant species were determined within three hydrogeomorphic sub-areas (i.e., the loess hilly-gully sub-area, the windy and sandy sub-area, and the desert sub-area). The modified Biome-BGC model performed well in terms of simulating ETa dynamics for the four plant species. Spatial distributions of mean ETa, NPP, and LAImax generally exhibited patterns similar to mean annual precipitation (MAP). In the loess hilly-gully sub-area (MAP: 210 to 710 mm), the OVC respectively ranged from 1.7 to 2.9 and 0.8 to 2.9 for R. pseudoacacia and H. rhamnoides. In the windy and sandy sub-area (MAP: 135 to 500 mm), the OVC ranged from 0.3 to 3.3, 0.5 to 2.6 and 0.6 to 2.1 for P. sylvestris, C. korshinkii and H. rhamnoides, respectively. In the desert sub-area (MAP: 90 to 500 mm), the OVC ranged from 0.4 to 1.7 for H. rhamnoides. Positive differences between observed and simulated plant coverage were found over 51% of the forest- and shrub-covered area, especially in the loess hilly-gully sub-area, suggesting possible widespread overplanting in those areas. This study provides critical revegetation thresholds for dominant tree and shrub species to guide future revegetation activities. Further revegetation in areas with overplanting should be undertaken with caution, and restored ecosystems that exceed the OVC should be managed (e.g., thinning) to maintain a sustainable ecohydrological environment in the drylands.
WOS关键词WATER CARRYING-CAPACITY ; FOR-GREEN PROGRAM ; LOESS PLATEAU ; VERTICAL-DISTRIBUTION ; PLANT COVERAGE ; YELLOW-RIVER ; SOIL ; AFFORESTATION ; CLIMATE ; CARBON
WOS研究方向Geology
语种英语
WOS记录号WOS:001205180700002
出版者SCIENCE PRESS
源URL[http://ir.igsnrr.ac.cn/handle/311030/204800]  
专题黄河三角洲现代农业工程实验室_外文论文
作者单位1.Xinyang Normal Univ, Sch Geog Sci, Xinyang 464000, Peoples R China
2.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China
4.Chinese Acad Sci, Yellow River Delta Modern Agr Engn Lab, Beijing 100101, Peoples R China
5.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess Pl, Yangling 712100, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Zhongdian,Jia, Xiaoxu,Zhu, Ping,et al. Estimating the optimal vegetation coverage for the dominant tree and shrub species over China's northwest drylands[J]. SCIENCE CHINA-EARTH SCIENCES,2024,N/A.
APA Zhang, Zhongdian,Jia, Xiaoxu,Zhu, Ping,Huang, Mingbin,Ren, Lidong,&Shao, Ming'an.(2024).Estimating the optimal vegetation coverage for the dominant tree and shrub species over China's northwest drylands.SCIENCE CHINA-EARTH SCIENCES,N/A.
MLA Zhang, Zhongdian,et al."Estimating the optimal vegetation coverage for the dominant tree and shrub species over China's northwest drylands".SCIENCE CHINA-EARTH SCIENCES N/A(2024).

入库方式: OAI收割

来源:地理科学与资源研究所

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