毛竹林下植被演替过程中土壤颗粒组成与水分入渗特征

谢燕燕, 郭子武, 林树燕, 左珂怡, 杨丽婷, 徐森, 谷瑞, 陈双林

南京林业大学学报(自然科学版) ›› 2024, Vol. 48 ›› Issue (3) : 108-116.

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南京林业大学学报(自然科学版) ›› 2024, Vol. 48 ›› Issue (3) : 108-116. DOI: 10.12302/j.issn.1000-2006.202205039
专题报道Ⅱ:土壤生态修复理论与技术研究(执行主编 张金池)

毛竹林下植被演替过程中土壤颗粒组成与水分入渗特征

作者信息 +

Soil particle distribution and water infiltration characteristics during vegetation succession in Phyllostachys edulis stands

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文章历史 +

摘要

【目的】 测定毛竹(Phyllostachys edulis)林地不同土层土壤粒径组成、分布和水分入渗性能,揭示土壤粒径分布及水分入渗性能对林下植被演替的响应规律,为毛竹林地土壤生态管理与植被更新提供依据。【方法】 以林下植被演替年限分别为0、9及21 a的毛竹林为研究对象,测定了林地不同土层,即[0, 10) cm、[10, 20) cm和[20, 30) cm层土壤颗粒组成、土壤颗粒体积分形维数,采用Kostiakov、Philip和Horton模型模拟分析土壤水分入渗性能,解析土壤分形特征与颗粒组成、水分入渗性能的关系。【结果】 同一演替年限毛竹林土壤黏粒、粉粒含量、分形维数和水分入渗性能均随土层深度增加而降低,而砂粒含量逐渐增加。随林下植被演替年限延长,[0, 10) cm土层黏粒、粉粒含量及分形维数逐渐下降,砂粒含量逐渐增加,[10, 20) cm和[20, 30) cm土层黏粒、粉粒含量及分形维数呈先升高后下降的趋势,砂粒含量则与之相反;不同土层土壤初渗率和稳渗率总体呈升高的变化趋势;土壤分形维数与黏粉粒含量、初渗率和稳渗率均呈显著正相关关系(P<0.05),与砂粒含量呈显著负相关关系(P<0.05);Kostiakov与Horton模型更适用于试验毛竹林土壤水分入渗过程模拟。【结论】 毛竹林下植被演替能够显著改善土壤粒径结构,提高土壤水分入渗性能,且呈现明显的演替时间效应,植被演替21 a毛竹林的土壤水分入渗性能明显优于植被演替9 a毛竹林和毛竹纯林的。

Abstract

【Objective】 The particle size composition, distribution, and water infiltration capability of soil in different soil layers of Phyllostachys edulis stands were measured. The response of soil particle size distribution and water infiltration capability to understory vegetation succession was revealed, which provides guidance for soil ecological management and vegetation renewal of P. edulis stands.【Method】 The understory vegetation successional ages of 21, 9 and 0 years in P. edulis stands were chosen for research. Soil particle size composition and fractal dimension of soil particle volume in different soil layers, as [0, 10) cm, [10, 20) cm, [20, 30) cm of stands land were measured. Soil water infiltration capability was simulated by using Kostiakov, Philip and Horton models. The relationships among soil fractal characteristics, particle composition, and water infiltration capability were analyzed. 【Result】 For P. edulis forests with the same understory successional years, soil clay content, silt content, fractal dimension, and water infiltration capability decreased with the increase of soil depth, while sand content increased gradually. With the extension of vegetation succession years, the content of clay and silt as well as fractal dimension decreased gradually in the [0, 10) cm soil layer, while the sand content increased gradually. The clay and silt contents and fractal dimension in [10, 20) cm and [20, 30) cm soil layers increased first and then decreased, but the sand content changed in the opposite direction. The initial infiltration rate and stable infiltration rate of all soil layers showed an increasing trend with the extension of successional age. Soil fractal dimension was positively correlated with clay particle content, initial infiltration rate, and stable infiltration rate (P<0.05), but negatively correlated with sand particle content (P<0.05). The Kostiakov and Horton models are more suitable for the simulation of soil water infiltration process in experimental P. edulis stands. 【Conclusion】 Vegetation succession under P. edulis stands can significantly improve soil water particle structure and enhance soil water infiltration capability, and the succession time effect is obvious. Soil water infiltration capability of P. edulis in the older 21-year successional understory age was better than that of the younger 9-year and pure bamboo stands.

关键词

毛竹 / 植被演替 / 土壤粒径 / 分形特征 / 土壤水分入渗性能

Key words

Phyllostachys edulis / vegetation succession / soil particle size / fractal characteristic / soil water infiltration capability

引用本文

导出引用
谢燕燕, 郭子武, 林树燕, . 毛竹林下植被演替过程中土壤颗粒组成与水分入渗特征[J]. 南京林业大学学报(自然科学版). 2024, 48(3): 108-116 https://doi.org/10.12302/j.issn.1000-2006.202205039
XIE Yanyan, GUO Ziwu, LIN Shuyan, et al. Soil particle distribution and water infiltration characteristics during vegetation succession in Phyllostachys edulis stands[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2024, 48(3): 108-116 https://doi.org/10.12302/j.issn.1000-2006.202205039
中图分类号: S714   

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浙江省重点研发项目(2020C02008)

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