Influence of edaphic factors on plant distribution and diversity in the arid area of Xinjiang,Northwest China |
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| Authors: | Xue-Ni Zhang Xiao-Dong Yang Yan Li Xue-Min He Jian-Jun Yang |
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| Institution: | 1. Institute of Arid Ecology and Environment, Xinjiang University, Urumqi, China;2. Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, China;3. Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, China;4. College of Resource and Environment Science, Xinjiang University, Urumqi, China |
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| Abstract: | The influence of edaphic factors on plant distribution is essential to community ecology and important for vegetation restoration and management in arid ecosystems. In this study, desert plant distribution and diversity as well as soil water, salinity, and nutrients were measured in the Ebinur Lake Wetland Nature Reserve (ELWNR) in arid Northwest China. We determined relationships between plant distribution and soil factors along a transect with increasing distance from the river and created optimal models using soil factors to explain variations in plant diversity. In general, soil factors decreased with increasing distance from the river. Soil volumetric water content (SVWC), electrical conductivity (EC), pH, nitrogen (N), phosphorus (P), and sulfur (S) were closely related to plant distribution. According to canonical correspondence analysis, plants along the transect were divided into three groups: saline–alkaline tolerant, drought tolerant, and high P-demanding. SVWC, pH, soil organic carbon (C), N, P, and S account for 93.8% of the variations in plant diversity in the ELWNR. Compared with other soil factors, S explained the largest percentage of variations in diversity when single soil variables were considered in generalized additive models (R2?=?38.9%). Our results suggest increases in soil pH, P, N, and S would improve plant diversity significantly. We found differences among species groups in preference for habitat, and N and S content had a significant positive effect of on plant diversity, providing a scientific reference for plant restoration and saline soil remediation in desert ecosystems. |
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| Keywords: | Desert plant distribution pattern generalized additive models plant diversity soil environment |
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