Arid
DOI10.1016/j.ecolind.2024.111570
Impact of water supply on the restoration of the severely damaged riparian plants along the Tarim River in Xinjiang, Northwest China
Song, Jian; Betz, Florian; Aishan, Tayierjiang; Halik, Umut; Abliz, Abdulla
通讯作者Aishan, T ; Halik, U
来源期刊ECOLOGICAL INDICATORS
ISSN1470-160X
EISSN1872-7034
出版年2024
卷号158
英文摘要Restoring degraded ecosystems in drylands is challenging because of low precipitation and high evapotranspiration. Water availability determines the existence and spatiotemporal distribution patterns of key endangered species struggling to survive in the severely damaged desert riparian ecosystem of the lower Tarim River (LTR) in NW China. Ecological water flow restoration measures with high costs and uncertainties have been implemented since 2000. The key task for scientists is to assess the success and drawbacks of this restoration project and propose specific recommendations for stakeholders to optimize the ecological benefits of the project in a costeffective manner. In this study, Landsat time-series data from 1990 to 2020 were used to extract vegetation index values from river corridors along the LTR and explore the spatiotemporal patterns of desert riparian forest (DRF) vegetation. Based on land use and surface water data, we extracted the interannual spatial distribution range of vegetation and surface water, and selected several sample plots to demonstrate the influence of surface water and groundwater on vegetation change trends. The study results showed the following. 1) From 1990 to 1999, the vegetation slowly degraded; from 2000 to 2012, the extent of vegetation restoration was approximately 1 km from the river; and from 2013 to 2020, the extent of vegetation restoration at the Yingsu and Karday sections increased to 4.5-6.0 km, while that at the Arghan and Yiganbujima sections remained within 1 km from the river. 2) The vegetation growth rate increased substantially and was spatially heterogeneous when the groundwater level reached 4.0-5.0 m and was influenced by surface water divergence; the average vegetation expansion rates per square km for P1-P4 were 0.017 km2/a, 0.011 km2/a, 0.005 km2/a, and 0.002 km2/a, respectively. 3) Flooding by surface water was the main driver of vegetation expansion when groundwater was stable and elevations in surface vegetation area were often accompanied by the spreading of surface water. Surface water was significantly correlated with vegetation cover and normalized difference vegetation index (NDVI) (Water pixels-Vegetation cover [P1: R2 = 0.57, P < 0.001; P2: R2 = 0.45, P < 0.01]; Water pixels-NDVI [P1: R2 = 0.22, P < 0.05; P2: R2 = 0.40, P < 0.01]). The increase in surface vegetation has alleviated the desertification process in the LTR, and the survival of the poplar has been mitigated. The results of this paper can help decision makers to formulate reasonable ecological water conveyance strategies and realize sustainable management of DRF ecosystems in arid zones.
英文关键词Tarim River Landsat time series Human intervention Environmental flow Groundwater dependent ecosystem
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:001158028400001
WOS关键词LOWER REACHES ; FOREST RESTORATION ; SURFACE-WATER ; VEGETATION ; GROUNDWATER ; DYNAMICS ; DIVERSITY ; FRAMEWORK ; COVER ; BASIN
WOS类目Biodiversity Conservation ; Environmental Sciences
WOS研究方向Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/403364
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GB/T 7714
Song, Jian,Betz, Florian,Aishan, Tayierjiang,et al. Impact of water supply on the restoration of the severely damaged riparian plants along the Tarim River in Xinjiang, Northwest China[J],2024,158.
APA Song, Jian,Betz, Florian,Aishan, Tayierjiang,Halik, Umut,&Abliz, Abdulla.(2024).Impact of water supply on the restoration of the severely damaged riparian plants along the Tarim River in Xinjiang, Northwest China.ECOLOGICAL INDICATORS,158.
MLA Song, Jian,et al."Impact of water supply on the restoration of the severely damaged riparian plants along the Tarim River in Xinjiang, Northwest China".ECOLOGICAL INDICATORS 158(2024).
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