北京山区典型植被类型土壤饱和导水率及其影响因素

张益; 林毅雁; 贾国栋; 余新晓; 王渝淞; 雷自然

doi:10.13870/j.cnki.stbcxb.2022.06.022

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北京山区典型植被类型土壤饱和导水率及其影响因素

更新时间：2025-03-12

- 北京山区典型植被类型土壤饱和导水率及其影响因素
- Soil Saturated Hydraulic Conductivity and Its Influencing Factors of Typical Vegetation Types in Beijing Mountainous Area
- 水土保持学报 2022年36卷第6期页码：171-178
- 作者机构：
  
  1. 北京林业大学水土保持学院,北京,100083
  2. 北京林业大学国家林业和草原局水土保持重点实验室,北京,100083
  3. 福建农业职业技术学院园艺园林学院,福州,350119
- 作者简介：
- 基金信息：
  
  国家自然科学基金面上项目(41877152)
- DOI：10.13870/j.cnki.stbcxb.2022.06.022
  中图分类号： S152.7
- 纸质出版：2022
- 稿件说明：
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张益, 林毅雁, 贾国栋, 等. 北京山区典型植被类型土壤饱和导水率及其影响因素[J]. 水土保持学报, 2022,36(6):171-178.

ZHANG Yi, LIN Yiyan, JIA Guodong, et al. Soil Saturated Hydraulic Conductivity and Its Influencing Factors of Typical Vegetation Types in Beijing Mountainous Area[J]. 2022, 36(6): 171-178.
张益, 林毅雁, 贾国栋, 等. 北京山区典型植被类型土壤饱和导水率及其影响因素[J]. 水土保持学报, 2022,36(6):171-178. DOI： 10.13870/j.cnki.stbcxb.2022.06.022.

ZHANG Yi, LIN Yiyan, JIA Guodong, et al. Soil Saturated Hydraulic Conductivity and Its Influencing Factors of Typical Vegetation Types in Beijing Mountainous Area[J]. 2022, 36(6): 171-178. DOI： 10.13870/j.cnki.stbcxb.2022.06.022.

摘要

研究典型植被类型的土壤饱和导水率(Ks)分布及其影响因素

可为北京山区植被建设提供有力借鉴

同时加深对于土壤水分运动的理解。选取北京山区最具代表性的4种植被类型

获取不同类型、不同层次的土壤饱和导水率

调查土壤理化性质与根系生物量、石砾体积

利用Pearson相关性分析、多元逐步回归、通径分析

明晰了北京山区典型植被类型下的土壤饱和导水率分布及其影响因素。结果表明:(1)土壤饱和导水率介于0.05~2.23 mm/min

属于高度变异

随土层向下不断减小

侧柏×灌木混交林、侧柏纯林与侧柏×五角枫混交林的土壤饱和导水率存在显著差异(p＜0.05)。土壤饱和导水率与土层深度之间的关系符合对数函数关系式y=±aln x+b

R2≥0.858。(2)相关性分析结果表明

土壤饱和导水率与容重、总孔隙度、毛管孔隙度、根系生物量、有机质含量均呈极显著相关关系(p＜0.01)

与非毛管孔隙度、自然含水率呈显著相关关系(p＜0.05)。(3)逐步回归分析得Y=3.42X2+0.78X6-1.333

R2=0.862。进一步通径分析可知

根系生物量主要通过直接作用影响土壤饱和导水率

而总孔隙度通过间接作用影响土壤饱和导水率。可知

侧柏×灌木混交林的导水性能最佳

后续的植被建设应重点考虑侧柏×灌木混交林

以达到减少径流、涵养水源的目的。

Abstract

The distribution of soil saturated hydraulic conductivity (Ks) and its influencing factors under typical vegetation types can provide a powerful reference for vegetation construction in Beijing mountainous area and deepen the understanding of soil water movement. In this study

four typical vegetation types in Beijing mountainous area were selected

and soil physical and chemical properties

root biomass and gravel volume were investigated. Based on Pearson correlation analysis

multiple stepwise regression analysis and path analysis

the distribution of soil saturated hydraulic conductivity and its influencing factors were obtained. The results showed that: (1) The soil saturated hydraulic conductivity ranged from 0.05 mm/min to 2.23 mm/min

which belonged to the height variation and decreased with the soil layer downward. The soil saturated hydraulic conductivity of the mixed forest of Platycladus Orientalis and Shrub

pure forest of Platycladus Orientalis and mixed forest of Platycladus Orientalis and Acer elegantulum were significantly different (p＜0.05). The relationship between soil saturated hydraulic conductivity and depth was in accordance with logarithmic function y=±aln x+b

R2≥0.858. (2) Correlation analysis showed that soil saturated hydraulic conductivity was significantly correlated with bulk density

total porosity

capillary porosity

root biomass and organic matter content (p＜0.01)

there was significant correlation with non-capillary porosity and natural water content (p＜0.05). (3) Stepwise regression analysis showed Y=3.42X2+0.78X6-1.333

R2=0.862. Further path analysis showed that root biomass mainly affected soil saturated hydraulic conductivity directly

while total porosity affected soil saturated hydraulic conductivity indirectly. And as it turns out

the mixed forest of Platycladus Orientalis and shrub has the best water conductivity

and the latter vegetation construction should focus on the mixed forest of Platycladus Orientalis and shrub in order to reduce runoff and conserve water sources.

关键词

Keywords

references

Zhu P Z, Zhang G H, Zhang B J. Soil saturated hydraulic conductivity of typical revegetated plants on steep gully slopes of Chinese Loess Plateau[J].Geoderma,2022,412:e115717.

Wang T, Liu Y Q, Wang J Z, et al. Assessment of spatial variability of hydraulic conductivity of seasonally frozen ground in Northeast China[J].Engineering Geology,2020,274:e105741.

Fu T G, Chen H S, Zhang W, et al. Vertical distribution of soil saturated hydraulic conductivity and its influencing factors in a small karst catchment in Southwest China[J].Environmental Monitoring Assessment,2015,187(3):e92.

Yang Y, Jia X X, Wendroth O, et al. Estimating saturated hydraulic conductivity along a South-North transect in the Loess Plateau of China[J].Soil Science Society of America Journal,2018,82(5):1033-1045.

杨震,黄萱,佘冬立.晋西北黄土丘陵区土壤饱和导水率的空间分布特征及影响因素[J].水土保持学报,2020,34(6):178-184.

付同刚,陈洪松,王克林.喀斯特小流域土壤饱和导水率垂直分布特征[J].土壤学报,2015,52(3):538-546.

Godoy V A, Zuquette L V, Gómez-Hernández J J. Spatial variability of hydraulic conductivity and solute transport parameters and their spatial correlations to soil properties[J].Geoderma,2019,339:59-69.

Hao H X, Wei Y J, Cao D N, et al. Vegetation restoration and fine roots promote soil infiltrability in heavy-textured soils[J].Soil and Tillage Research,2020,198:e104542.

王子龙,赵勇钢,赵世伟,等.退耕典型草地土壤饱和导水率及其影响因素研究[J].草地学报,2016,24(6):1254-1262.

Lu J R, Zhang Q, Werner A D, et al. Root-induced changes of soil hydraulic properties: A review[J].Journal of Hydrology,2020,589:e125203.

刘目兴,吴丹,吴四平,等.三峡库区森林土壤大孔隙特征及对饱和导水率的影响[J].生态学报,2016,36(11):3189-3196.

刘玲,刘永忠.莱芜市红石公园土壤结构特征及其与饱和导水率的关系[J].水土保持通报,2016,36(4):188-192.

吴四平,刘目兴,易军,等.三峡库区典型山地土壤的饱和导水率及其影响因素研究[J].灌溉排水学报,2016,35(增刊2):55-58.

薛宝宝,李浩,牛东红,等.不同月龄缢蛏新品种数量性状的相关与通径分析[J].水产学报,2018,42(6):941-949.

朱自娟,左丽君,张增祥,等.1987—2015年京津冀西北水源涵养区生态格局时空变化[J].草业科学,2020,37(7):1325-1336.

祁子寒,王云琦,王玉杰,等.根系对浅表层土大孔隙分布特征及饱和渗透性的影响[J].水土保持学报,2021,35(5):94-100,107.

朱金方,柳晓燕,李俊生,等.不同入侵程度下飞机草对喀斯特地区土壤理化性质的影响[J].生态学报,2021,41(24):9630-9636.

李茂娜,孙宇,严海军,等.基于土壤表观电导率的变量灌溉管理分区方法[J].农业工程学报,2020,36(22):172-180.

张英虎,牛健植,李娇,等.石砾参数对土壤水流和溶质运移影响研究进展[J].土壤,2014,46(4):589-598.

甘淼,贾玉华,李同川,等.黄土区坡沟系统容重、饱和导水率和土壤含水量变化分析[J].干旱区研究,2018,35(2):315-324.

Wu G L, Liu Y, Yang Z, et al. Root channels to indicate the increase in soil matrix water infiltration capacity of arid reclaimed mine soils[J].Journal of Hydrology,2017,546:133-139.

Guo L, Liu Y, Wu G L, et al. Preferential water flow: Influence of alfalfa (

Medicago sativa

L.) decayed root channels on soil water infiltration[J].Journal of Hydrology,2019,578:e124019.

骆紫藤,牛健植,孟晨,等.华北土石山区森林土壤中石砾分布特征对土壤大孔隙及导水性质的影响[J].水土保持学报,2016,30(3):305-308,316.

曲英杰,毛伟兵,孙玉霞,等.引黄泥沙对黏质盐土饱和导水率的影响[J].人民黄河,2021,43(5):158-162.

Liu S Z, Wang Y Q, An Z S, et al. Watershed spatial heterogeneity of soil saturated hydraulic conductivity as affected by landscape unit in the critical zone[J].Catena,2021,203:e105322.

陈雪,宋娅丽,王克勤,等.布设等高反坡阶对滇中松华坝水源区坡耕地土壤饱和导水率的影响[J].福建农林大学学报(自然科学版),2019,48(5):649-655.

张耀方,赵世伟,王子龙,等.黄土高原土壤团聚体胶结物质的分布及作用综述[J].中国水土保持科学,2015,13(5):145-150.

姚淑霞,赵传成,张铜会.科尔沁不同沙地土壤饱和导水率比较研究[J].土壤学报,2013,50(3):469-477.

彭舜磊,由文辉,沈会涛.植被群落演替对土壤饱和导水率的影响[J].农业工程学报,2010,26(11):78-84.

杜家菊,陈志伟.使用SPSS线性回归实现通径分析的方法[J].生物学通报,2010,45(2):4-6.

李松岗.实用生物统计[M].北京:北京大学出版社,2002.

王玮璐,贺康宁,张潭,等.青海高寒区水源涵养林土壤机械组成和理化性质对其饱和导水率和持水能力的影响[J].植物资源与环境学报,2020,29(2):69-77.

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