地理科学 ›› 2020, Vol. 40 ›› Issue (7): 1191-1201.doi: 10.13249/j.cnki.sgs.2020.07.016

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土壤理化性质空间分布及其相关关系分析

汪言在1(), 董一帆2,3, 刘目兴4, 王勇5   

  1. 1. 重庆师范大学地理与旅游学院,重庆 401331
    2. 中国科学院水利部/成都山地灾害与环境研究所,四川 成都 610041
    3. 云南大学国际河流与生态安全研究院,云南 昆明 650091
    4. 华中师范大学城市与环境科学学院,湖北 武汉 430079
    5. 西南大学地理科学学院,重庆 400715
  • 收稿日期:2019-06-04 出版日期:2020-07-10 发布日期:2020-12-07
  • 作者简介:汪言在(1983−),男,山东济宁人,博士,副教授,主要从事区域地理研究。E-mail: wyz2003qu@163.com
  • 基金资助:
    国家水体污染控制与治理科技重大专项(2017ZX07101001)、国家自然科学基金项目(41771261)资助

The Spatial Distribution of Soil Properties and Their GW Correlation: A Case in Zhangjiakou City

Wang Yanzai1(), Dong Yifan2,3, Liu Muxing4, Wang Yong5   

  1. 1. College of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China
    2. Key Laboratory of Mountain Hazards & Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences & Ministry of Water Conservancy, Chengdu 610041, Sichuan, China
    3. Institute of International Rivers and Eco-security, Yunnan University, Kunming 650091,Yunnan, China
    4. The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, Hubei, China
    5. School of Geographical Sciences, Southwest University, Chongqing 400715, China
  • Received:2019-06-04 Online:2020-07-10 Published:2020-12-07
  • Supported by:
    National Major Science and Technology Program for Water Pollution Control and Treatment (2017ZX07101001), National Natural Science Foundation of China (41771261).

摘要:

使用地理加权相关(GW correlation)与多因素方差分析对张家口地区土壤理化参数空间分异及其相关关系进行分析。结果显示:土壤理化参数具有不同的空间自相关性,各参数之间地理加权相关系数存在正负或大小差异。林地土壤养分含量与饱和导水率显著大于其他土地利用类型(P<0.05);土壤理化参数之间相关性主要表现为坝上高原>坝下区域、栗钙土>其他土壤类型(P<0.05)。这表明,土地利用是影响张家口地区土壤理化参数空间分异的主要因素,地貌和土壤类型是影响土壤理化参数相关关系空间分异的主要因素,结果可以为认识区域土壤地域分异规律及制定生态脆弱区水土涵养措施提供数据参考。

关键词: 土壤理化性质, 空间分异, 地理加权相关

Abstract:

The development of soil is decided by many environmental factors, such as climate, lithology, landforms and human activities, etc. The complex of these environmental factors leads to the spatial heterogeneity of soil physic-chemical properties and their interrelations. However, the knowledge of interrelations between soil properties on regional scale is still limited. In this study, the topsoil samples were collected from Zhangjiakou city, and six parameters of soil properties respectively are median grain size, bulk density, field water capacity (FW), saturated hydraulic conductivity (Ks), soil organic carbon (SOC) and total nitrogen (TN) were analyzed using a geographical statistical analysis and nonparametric statistics models of two-way analysis of variance to discuss the spatial distribution of soil property, as well as the spatial distribution of interrelations between theses six parameters. Our results show that, the spatial distribution patterns are different between six parameters of soil property, median grain size of soil exhibits significant spatial cluster patterns (P<0.05). However, other five soil parameters do not represent significant spatial cluster patterns (P<0.05). The spatial distribution difference of six parameters would cause uncertainty of interrelations between these six parameters. GW correlation analysis shows that the interrelations between six parameters represent various spatial distribution patterns. Furthermore, our results found that the spatial distribution of soil properties was only affected by land use which often represents as human activities. The content of soil nutrient (soil organic carbon and total nitrogen) and the saturated hydraulic conductivity (Ks) of soil are larger in forestry land than other land use types (P<0.05). Other soil properties such as grainsize, bulk density, field water capacity of soil do not represent difference in different unites of geomorphic factors, soil types and land use (P<0.05). The spatial distribution of interrelations between soil properties were primarily decided by geomorphic factors and soil types. In most cases of interrelations between soil properties, the GW correlation coefficient showed larger values in Bashang plateau while lower values in other parts of Zhangjiakou city, and the GW correlation also represented larger values in chestnut soil type while lower values in other soil types (P<0.05). In addition, we found the GW correlation coefficients are nearly similar to the Pearson correlation coefficients, suggests that GW correlation can be used to detect the general correlation between variables. Overall, our results suggest that even though the distribution of soil properties are sensitive to human activities such as land use changes or reforestation, however, the interrelations between soil properties are not sensitive to land use. In other words, the influence of human activities on soil properties is comprehensive, not just on single soil property.

Key words: soil physic-chemical properties, spatial differentiation, GW correlation

中图分类号: 

  • P94