ArticleEcology and evolution2021
Responses of two dominant desert plant species to the changes in groundwater depth in hinterland natural oasis, Tarim Basin.
Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 30 citations in OpenAlex.
- Dominant Plant species and functional groups driving desert productivity changes in China and Egypt.iScience · 2026Review
- Impact of deeper groundwater depth on vegetation and soil in semi-arid region of eastern China.Frontiers in plant science · 2023Article
- Article
- Seasonal variation in C:N:P stoichiometry, nonstructural carbohydrates, and carbon isotopes of two coniferous pioneer tree species in subtropical China.Frontiers in plant science · 2023Article
- Distinct leaf functional traits ofFrontiers in plant science · 2022Article
- Responses of two dominant desert plant species to the changes in groundwater depth in hinterland natural oasis, Tarim Basin.Ecology and evolution · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Groundwater is increasingly becoming a permanent and steady water source for the growth and reproduction of desert plant species due to the frequent channel cutoff events in arid inland river basins. Although it is widely acknowledged that the accessibility of groundwater has a significant impact on plant species maintaining their ecological function, little is known about the water use strategies of desert plant species to the groundwater availability in Daryaboyi Oasis, Central Tarim Basin. This study initially determined the desirable and stressing groundwater depths based on ecological and morphological parameters including UAV-based fractional vegetation cover (FVC) images and plant growth status. Then, leaf δ
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