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干旱区地理 >

2022 , Vol. 45 >Issue 1: 219 - 225

DOI: https://doi.org/10.12118/j.issn.1000–6060.2021.123

生物与土壤

努尔苏丹樟子松人工林土壤粒度组成特征研究

  • 娄泊远 ,
  • 王永东 ,
  • 周娜 ,
  • 闫晋升 ,
  • 艾柯代·艾斯凯尔
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  • 1.中国科学院新疆生态与地理研究所,新疆 乌鲁木齐 830011
    2.国家荒漠-绿洲生态建设工程技术研究中心,新疆 乌鲁木齐 830011
    3.中国科学院大学,北京 100049
娄泊远（1995-）,男,硕士研究生,主要从事水土保持和荒漠化防治相关研究. E-mail: louboyuan18@mails.ucas.ac.cn

收稿日期: 2021-03-11

  修回日期: 2021-09-09

  网络出版日期: 2022-01-21

基金资助

中国科学院战略性先导科技专项(A类)(XDA20030102);中国科学院关键技术人才项目（“一带一路”荒漠化防治技术模式研究）资助

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Soil particle size composition characteristics of Pinus sylvestris plantations in Nur-Sultan City

  • Boyuan LOU ,
  • Yongdong WANG ,
  • Na ZHOU ,
  • Jinsheng YAN ,
  • ASKAR Akida
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  • 1. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, China
    2. National Engineering Technology Research Center for Desert-Oasis Ecological Construction, Urumqi 830011, Xinjiang, China
    3. University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2021-03-11

  Revised date: 2021-09-09

  Online published: 2022-01-21

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摘要

为了揭示努尔苏丹不同林龄樟子松人工林对土壤粒度组成的影响,通过野外采样与室内分析相结合,分析了努尔苏丹周边不同林龄樟子松人工林土壤粒度与分形维数特征,研究了分形维数与土壤特性之间的关系。结果表明：（1） 研究区土壤粒度组成以粉粒为主,砂粒次之,黏粒最少,樟子松人工林的种植能够显著提升土壤表层细颗粒物质含量。不同林龄人工林深层土壤颗粒含量差异不显著。种植樟子松人工林对土壤粒度的影响主要在表层区域。（2） 土壤分形维数变化在2.059~2.569之间,在人工林生长过程中分形维数呈现先增大后减小的趋势,并在种植年限为15 a时达到最大。土壤分形维数与黏粒、粉粒具有正相关性,20 μm粒径是反映研究区人工林土壤分形维数的临界粒径。（3） 研究区土壤分形维数与土壤有机质、全氮含量呈极显著正相关关系,土壤分形维数可以用来评价土壤的养分状况。研究结果可以为努尔苏丹人工林建设和生态恢复提供理论依据。

关键词： 土壤; 粒度组成; 分形维数; 理化性质; 防护林; 努尔苏丹

本文引用格式

娄泊远 , 王永东 , 周娜 , 闫晋升 , 艾柯代·艾斯凯尔 . 努尔苏丹樟子松人工林土壤粒度组成特征研究[J]. 干旱区地理, 2022 , 45(1) : 219 -225 . DOI: 10.12118/j.issn.1000–6060.2021.123

Abstract

Nur-Sultan City is located in northern Kazakhstan, and the local government has planted a large area of plantation forests on the desert steppe around the city. Soil particle size composition is one of the basic physical properties of soil, which affects the changes of soil nutrients and moisture. To explore the effects of different forest ages of Pinus sylvestris plantations on soil particle size composition, this study analyzed the characteristics of soil particle size and fractal dimension of plantations around Nur-Sultan City through field sampling and indoor analysis, and examined the relationship between fractal dimension and soil characteristics. Results showed the following: (1) The soil particle size composition in the study area was dominated by silt, followed by sand, and clay was the least. The planting of a P. sylvestris plantation could significantly improve the content of fine particles in the soil surface. The deep soil particle content of different forest age plantation was not significant. The effect of planting P. sylvestris plantation on soil particle size is mainly observed in the surface area. (2) The variation of soil fractal dimension was between 2.059 and 2.569. During the growth of plantation, the fractal dimension increased first and then decreased, and reached the maximum on the 15th planting year. Soil fractal dimension was positively correlated with clay and silt, and 20 μm was the critical particle size that reflected the fractal dimension of plantation soil in the study area. (3) The soil fractal dimension in the study area was significantly positively correlated with soil organic matter and total nitrogen content, and the soil fractal dimension could be used to evaluate the soil nutrient status. The results can provide a theoretical basis for plantation construction and ecological restoration in Nur-Sultan City.

Key words： soil; particle composition; fractal dimension; physical and chemical properties; protection forest; Nur-Sultan City

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