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ORIGINAL RESEARCH article

Front. Microbiol.
Sec. Terrestrial Microbiology
Volume 15 - 2024 | doi: 10.3389/fmicb.2024.1494070
This article is part of the Research Topic Monitoring, Modeling, and Mitigation in Terrestrial Ecosystems: Microbial Response to Climate Change View all articles

Effects of Soil Water on Fungal Community Composition Along Elevational Gradients on the Northern Slope of the Central Kunlun Mountains

Provisionally accepted
  • 1 Faculty of Agriculture, Forestry and Food Engineering, Yibin University, Yibin, China
  • 2 Ecological Security and Protection Key Laboratory of Sichuan Province, Mianyang Normal University Mianyang, China, Mianyang, China
  • 3 Xinjiang Key Laboratory of Desert Plant Roots Ecology and Vegetation Restoration, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
  • 4 State Key Laboratory of Biogeology and Environmental Geology, School of Earth Sciences and Resources, China University of Geosciences, Wuhan, Hubei Province, China
  • 5 Engineering Research Center of Soil Remediation of Fujian Province University, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, China

The final, formatted version of the article will be published soon.

    Soil fungi are essential to ecosystem processes, yet their elevational distribution patterns and the ecological mechanisms shaping their communities remain poorly understood and actively debated, particularly in arid regions. Here, we investigated the diversity patterns and underlying mechanisms shaping soil fungal communities along an elevational gradient (1707-3548 m) on the northern slope of the central Kunlun Mountains in northwest China. The dominant phyla identified across the seven elevational gradients were Basidiomycota and Ascomycota, displaying a unimodal pattern and a U-shaped pattern in the relative abundance, respectively. Soil saprotroph and Nectar/Tap saprotroph were the dominant functional groups (>1.0%). Along the elevational gradients, soil fungal α-diversity demonstrated a generally decreasing trend, while β-diversity showed a contrasting increasing trend. Among the environmental variables, altitude and climate (mean annual precipitation, MAP; mean annual temperature, MAT) were the strongest predictors for α-diversity. Partial least squares path modeling (PLSPM) analysis revealed that soil water content (Wat) was the most influential factor driving fungal α-diversity, while vegetation coverage (Veg) emerged as the primary determinant of soil fungal community composition. The influence of Wat on fungal α -diversity shifted from indirect to direct as elevation increased, transitioning from lower elevations (≤2448 m) to higher elevations (≥2746 m).Similarly, the impact of Veg on soil fungal community composition exhibited a comparable pattern. The null model analysis revealed that homogeneous selection and dispersal limitation dominated the soil fungal community assembly at the elevations lower than 2448 m and higher than 2746 m, respectively. Variations in ecological processes may be linked to changes in key environmental factors that influence soil fungal communities in an elevation-dependent manner. These findings can enhance our ability to predict soil fungal diversity patterns and their responses to climate change in the ecosystems of the northern slope of the central Kunlun Mountain.

    Keywords: Soil ecosystem, Elevational gradients, Central Kunlun Mountains, Driving factors, Ecological processes

    Received: 10 Sep 2024; Accepted: 03 Dec 2024.

    Copyright: © 2024 Zhang, Li, Zhang, Li, Zhang, Jiang, Li and Zeng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Chaonan Li, Ecological Security and Protection Key Laboratory of Sichuan Province, Mianyang Normal University Mianyang, China, Mianyang, China
    Chenhong Li, Faculty of Agriculture, Forestry and Food Engineering, Yibin University, Yibin, China
    Xiangzhen Li, Engineering Research Center of Soil Remediation of Fujian Province University, College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, China
    Fanjiang Zeng, Xinjiang Key Laboratory of Desert Plant Roots Ecology and Vegetation Restoration, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China

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