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Li X, Chen Y, Lv G, Wang J, Jiang L, Wang H, Yang X. Predicting spatial variability of species diversity with the minimum data set of soil properties in an arid desert riparian forest. FRONTIERS IN PLANT SCIENCE 2022; 13:1014643. [PMID: 36438101 PMCID: PMC9691764 DOI: 10.3389/fpls.2022.1014643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 10/20/2022] [Indexed: 06/16/2023]
Abstract
Species diversity has spatial heterogeneity in ecological systems. Although a large number of studies have demonstrated the influence of soil properties on species diversity, most of them have not considered their spatial variabilities. To remedy the knowledge gap, a 1 ha (100 m × 100 m) plots of arid desert riparian forest was set up in the Ebinur Wetland Nature Reserve (ELWNR) in the NW China. Then, the minimum data set of soil properties (soil MDS) was established using the Principal Component Analysis (PCA) and the Norm Value Determination to represent the total soil property data set (soil TDS). The Geo-statistics and two models (i.e., Random Forest/RF and Multiple Linear Regression/MLR) were used to measure the spatial variability of species diversity, and predict its spatial distribution by the soil MDS, respectively. The results showed that the soil MDS was composed of soil salt content (SSC), soil total phosphorus (STP), soil available phosphorus (SAP), soil organic carbon (SOC) and soil nitrate nitrogen (SNN); which represented the soil TDS perfectly (R2 = 0.62). Three species diversity indices (i.e., Shannon-Wiener, Simpson and Pielou indices) had a high spatial dependence (C0/(C0+C)< 25%; 0.72 m ≤ range≤ 0.77 m). Ordinary kriging distribution maps showed that the spatial distribution pattern of species diversity predicted by RF model was closer to its actual distribution compared with MLR model. RF model results suggested that the soil MDS had significant effect on spatial distribution of Shannon-Wiener, Simpson and Pielou indices (Varex = 56%, 49% and 36%, respectively). Among all constituents, SSC had the largest contribution on the spatial variability of species diversity (nearly 10%), while STP had least effect (< 5.3%). We concluded that the soil MDS affected spatial variability of species diversity in arid desert riparian forests. Using RF model can predict spatial variability of species diversity through soil properties. Our work provided a new case and insight for studying the spatial relationship between soil properties and plant species diversity.
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Affiliation(s)
- Xiaotong Li
- College of Ecology and Environment, Xinjiang University, Xinjiang, China
- Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang University, Xinjiang, China
- Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe, China
| | - Yudong Chen
- College of Ecology and Environment, Xinjiang University, Xinjiang, China
- Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang University, Xinjiang, China
- Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe, China
| | - Guanghui Lv
- College of Ecology and Environment, Xinjiang University, Xinjiang, China
- Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang University, Xinjiang, China
- Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe, China
| | - Jinlong Wang
- College of Ecology and Environment, Xinjiang University, Xinjiang, China
- Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang University, Xinjiang, China
- Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe, China
| | - Lamei Jiang
- College of Ecology and Environment, Xinjiang University, Xinjiang, China
- Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang University, Xinjiang, China
- Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe, China
| | - Hengfang Wang
- College of Ecology and Environment, Xinjiang University, Xinjiang, China
- Key Laboratory of Oasis Ecology of Education Ministry, Xinjiang University, Xinjiang, China
- Xinjiang Jinghe Observation and Research Station of Temperate Desert Ecosystem, Ministry of Education, Jinghe, China
| | - Xiaodong Yang
- School of Civil & Environmental Engineering and Geography Science, Ningbo University, Ningbo, China
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