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科尔沁沙地土壤微生物碳氮磷化学计量空间格局及影响因素

  • 姚博 ,
  • 连杰 ,
  • 龚相文 ,
  • 牟晓明 ,
  • 李玉霖 ,
  • 李玉强 ,
  • 王旭洋
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  • 1.中国科学院西北生态环境资源研究院,干旱区生态安全与可持续发展全国重点实验室,甘肃 兰州 730000
    2.中国科学院西北生态环境资源研究院,奈曼沙漠化研究站,甘肃 兰州 730000
    3.中国科学院大学,北京 100049
    4.西南大学 地理科学学院/重庆金佛山喀斯特生态系统国家野外科学观测研究站,重庆 400715
姚博(1989—),女,甘肃靖远人,博士,主要从事沙地土壤养分循环方面的研究。E-mail: yaobo@nieer.ac.cn
王旭洋(E-mai: xuyangwang@.lzb.ac.cn

收稿日期: 2025-04-25

  修回日期: 2025-07-10

  网络出版日期: 2025-08-18

基金资助

国家自然科学基金项目(32001214);中国科学院青年创新促进会项目(2023449)

Spatial patterns and influencing factors of soil microbial carbon, nitrogen and phosphorus stoichiometry in Horqin Sandy Land

  • Bo Yao ,
  • Jie Lian ,
  • Xiangwen Gong ,
  • Xiaoming Mou ,
  • Yulin Li ,
  • Yuqiang Li ,
  • Xuyang Wang
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  • 1.State Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands /, Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
    2.Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
    3.University of Chinese Academy of Sciences,Beijing 100049,China
    4.School of Geographical Sciences / Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station,Southwest University,Chongqing 400715,China

Received date: 2025-04-25

  Revised date: 2025-07-10

  Online published: 2025-08-18

摘要

揭示土壤和微生物碳氮磷(C∶N∶P)化学计量的空间格局及其影响因素,对生态系统功能调控和全球气候变化应对具有重要意义。本研究通过在科尔沁沙地开展区域野外调查,应用地统计学方法,构建随机森林模型量化科尔沁沙地土壤微生物C∶N∶P化学计量空间分布的驱动因素。结果表明:土壤微生物碳氮磷(MBC、MBN、MBP)含量低值区主要位于科尔沁沙地中部,高值区主要位于科尔沁沙地北部的大兴安岭余脉。自南向北方向,MBC∶MBP和MBN∶MBP逐渐升高。科尔沁沙地MBC∶MBN为0.63~28.29(平均值为7.3);MBC∶MBP为0.35~91.27(平均值为11.26);MBN∶MBP为0.07~10.16(平均值为1.56),均低于全球及中国的化学计量比,整体表现出碳、氮、磷元素限制,MBC和MBN含量是影响科尔沁沙地土壤微生物量C∶N∶P空间变异的最主要因素。

本文引用格式

姚博 , 连杰 , 龚相文 , 牟晓明 , 李玉霖 , 李玉强 , 王旭洋 . 科尔沁沙地土壤微生物碳氮磷化学计量空间格局及影响因素[J]. 中国沙漠, 2025 , 45(4) : 153 -165 . DOI: 10.7522/j.issn.1000-694X.2025.00106

Abstract

Understanding the spatial pattern of soil and microbial carbon, nitrogen and phosphorus (C∶N∶P) stoichiometry and its drivers are important for regulating ecosystem function and responding to global climate change. In this study, we applied geostatistical methods and constructed a random forest model to quantify the drivers of the spatial distribution of soil and microbial C∶N∶P stoichiometry in the Horqin Sandy Land through a regional field survey. The results showed that low-value zones for soil microbial carbon (MBC), nitrogen (MBN) and phosphorus (MBP) were primarily located in the central part of the Horqin Sandy Land. In contrast, high-value zones were mainly found in the northern part of the Horqin Sandy Land, specifically in the foothills of the Greater Khingan Mountains. The ratios of MBC∶MBP and MBN∶MBP gradually increased from south to north. In the Horqin Sandy Land, the MBC∶MBN ratio ranged from 0.63 to 28.29 (average: 7.3), the MBC∶MBP ratio from 0.35 to 91.27 (average: 11.26), and the MBN∶MBP ratio from 0.07 to 10.16 (average: 1.56). These values were all lower than the global and Chinese stoichiometric ratios. Overall, the region exhibited limitations in C, N and P, with MBC and MBN content primarily influencing the spatial variation of soil microbial biomass C∶N∶P in the Horqin Sandy Land.

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