文章摘要
云慧雅, 毕华兴, 王珊珊, 赵丹阳, 崔艳红, 王宁, 兰道云.不同林分类型土壤理化特征及其对土壤入渗过程的影响[J].水土保持学报,2021,35(6):183~189
不同林分类型土壤理化特征及其对土壤入渗过程的影响
Soil Physical and Chemical Characteristics of Different Forest Types and Their Effects on Soil Infiltration Process
投稿时间:2021-05-31  
DOI:10.13870/j.cnki.stbcxb.2021.06.025
中文关键词: 黄土残塬沟壑区  土壤理化性质  土壤入渗  拟合模型  通径分析
英文关键词: gully region of the Loess Plateau  soil physical and chemical properties  soil infiltration  fitting model  path analysis
基金项目:国家重点研发计划项目(2016YFC0501704);国家自然科学基金项目(31971725)
作者单位E-mail
云慧雅1, 毕华兴1,2,3,4,5, 王珊珊1, 赵丹阳1, 崔艳红1, 王宁1, 兰道云1 1. 北京林业大学水土保持学院, 北京 100083

2. 山西吉县森林生态系统国家野外科学观测研究站
, 北京 100083

3. 水土保持国家林业局重点实验室(北京林业大学)
, 北京 100083

4. 北京市水土保持工程技术研究中心(北京林业大学)
, 北京 100083

5. 林业生态工程教育部工程研究中心(北京林业大学)
, 北京 100083 
bhx@bjfu.edu.cn 
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中文摘要:
      利用双环入渗法对黄土残塬沟壑区主要林分类型(刺槐林、油松林、刺槐×油松混交林、山杨栎类天然次生林)进行土壤入渗试验,分析4种林分类型土壤理化特征及其对土壤入渗过程的影响。结果表明:(1)研究区不同林分类型土壤理化特征存在一定差异,山杨栎类天然次生林的土壤理化性质总体最好,刺槐×油松混交林优于刺槐林和油松林;(2)0~90 min测试时间内,不同林分类型的土壤入渗速率随时间的变化规律均表现为迅速递减(0~5 min)、逐渐递减(5~60 min)和趋于稳定(60~90 min)的过程;4种林分的土壤初始入渗速率、稳定入渗速率和平均入渗速率由大到小依次为山杨栎类天然次生林、刺槐×油松混交林、刺槐林、油松林;(3)4种常见土壤入渗模型(Kostiakov模型、Horton模型、Philip模型和通用经验模型)中,通用经验模型对研究区不同林分类型土壤入渗过程拟合效果最好,拟合精度均在0.990以上;(4)相关性分析结果表明,不同林分类型的土壤入渗指标与土壤容重呈现极显著负相关(P<0.01),与非毛管孔隙度、> 0.25 mm水稳性团聚体含量、砂粒含量以及有机质含量呈现极显著正相关(P<0.01);通过通径分析并计算主要影响因子的决定系数表明,对土壤初始入渗速率影响程度最大的因子是土壤容重(0.309),对土壤稳定入渗速率影响程度最大的因子是>0.25 mm水稳性团聚体含量(0.251),对土壤平均入渗速率影响程度最大的因子是有机质(0.408)。研究结果为研究区营造水土保持林树种的选择与水土保持功能评价提供一定参考。
英文摘要:
      The soil infiltration test was carried out under the main forest types (Robinia pseudoacacia Linn., Pinus tabulaeformis Carr., Robinia pseudoacacia×Pinus tabulaeformis mixed forest, and Populus davidiana and Pinus communis natural secondary forest) in the gully region of the Loess Plateau by the double-ring infiltration method, and the soils were analyzed for physical and chemical characteristics to analyze their influence on the process of soil infiltration. The results showed that: (1) There were certain differences in soil physical and chemical characteristics of different forest types in the study area, and the soil physical and chemical properties of the natural secondary forest of Populus davidiana and Pinus communis were generally the best. The mixed forest of Robinia pseudoacacia×Pinus tabulaeformis was better than that of Robinia pseudoacacia Linn. and Pinus tabulaeformis Carr.; (2) Within the test period of 0~90 min, the soil infiltration rate of different forest types showed a rapid decrease (0~5 min) and a gradual decrease (5~60 min) over time, and the process of stabilization (60~90 min); the initial soil infiltration rate, stable infiltration rate and average infiltration rate of the four forests in descending order were as follows: Populus davidiana and Pinus communis natural secondary forests, Robinia pseudoacacia×Pinus tabulaeformis mixed forest, Robinia pseudoacacia Linn., and Pinus tabulaeformis Carr.; (3) Among the four common soil infiltration models (Kostiakov model, Horton model, Philip model and general empirical model), the general empirical model had the best fit for the soil infiltration process under different forest types in the study area, the fitting accuracy was above 0.990; (4) Correlation analysis results showed that the soil infiltration indices under different forest types were significantly negatively correlated with soil bulk density (P<0.01), and were positively related to non-capillary porosity, > 0.25 mm water-stable aggregate content, sand content and the organic matter content (P<0.01); through path analysis and calculation of the determination coefficient of the main influencing factors, the results showed that the factor that had the greatest influence on the initial soil infiltration rate was the soil bulk density (0.309). The factor that had the greatest influence on the stable soil infiltration rate was > 0.25 mm water-stable aggregate content (0.251), and the factor that had the greatest influence on the average soil infiltration rate was organic matter (0.408). These research results could provide a certain reference for the selection of tree species and the evaluation of soil and water conservation functions in the study area to build soil and water conservation forests.
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