Soil infiltration characteristics and influencing factors of <i>Robinia pseudoacacia</i> plantation in the loess gully region of western Shanxi Province, northern China

Cui Yanhong; Bi Huaxing; Hou Guirong; Wang Ning; Wang Shanshan; Zhao Danyang; Ma Xiaozhi; Yun Huiya

doi:10.12171/j.1000-1522.20200122

Journal of Beijing Forestry University > 2021 > 43(1): 77-87. > DOI: 10.12171/j.1000-1522.20200122

Cui Yanhong, Bi Huaxing, Hou Guirong, Wang Ning, Wang Shanshan, Zhao Danyang, Ma Xiaozhi, Yun Huiya. Soil infiltration characteristics and influencing factors of Robinia pseudoacacia plantation in the loess gully region of western Shanxi Province, northern China[J]. Journal of Beijing Forestry University, 2021, 43(1): 77-87. DOI: 10.12171/j.1000-1522.20200122

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Soil infiltration characteristics and influencing factors of Robinia pseudoacacia plantation in the loess gully region of western Shanxi Province, northern China

1.
School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
2.
Jixian County Station, Chinese National Ecosystem Research Network (CNERN), Jixian 042200, Shanxi, China
3.
Key Laboratory of State Forestry Administration on Soil and Water Conservation, Beijing Engineering Research Center of Soil and Water Conservation, Engineering Research Center of Forestry Ecological Engineering of Ministry of Education,Beijing Forestry University, Beijing 100083, China
4.
Beijing Collaborative Innovation Center for Eco-Environmental Improvement withForestry and Fruit Trees, Beijing 102206, China
5.
College of Forestry, Sichuan Agricultural University, Chengdu 611130, Sichuan, China

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Received Date: April 27, 2020
Revised Date: October 04, 2020
Available Online: December 13, 2020
Published Date: February 04, 2021

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Abstract

Abstract

Objective This paper aims to study the soil infiltration characteristics and its influencing factors of Robinia pseudoacacia forest in the loess gully region of western Shanxi Province of northern China, which could provide functional guidance for the precise improvement of stand structure.
Method We selected the stand age of 15, 25, and 35 years and the density of 800, 1 200, 1 600, 1 800, and 2 200 plant/ha Robinia pseudoacacia forest for double-ring infiltration test. Correlation between the physical and chemical properties of soil, such as soil porosity, bulk density, organic matter, and soil infiltration rate, was analyzed.
Result (1) To some extent, the steady infiltration rate increased with the increase of forest age and stand density. The initial infiltration rate and average infiltration rate increased with the increase of stand age. (2) Four models (Horton, Kostiakov, Philip, and general empirical model) were used to simulate the infiltration process of Robinia pseudoacacia forest in different stand ages and densities. The results showed that the average regression coefficient of general empirical model (0.977) > Horton model (0.958) > Kostiakov model (0.953) > Philip model (0.945). Therefore, the fitting effect of general empirical model was best. (3) According to principal component and correlation analysis, the soil infiltration performance was significantly correlated with the soil bulk density, organic matter, and water-stable aggregates. The initial soil moisture content was the main factor affecting the initial infiltration rate. The 1−2 mm water-stable aggregates, soil bulk density, and capillary porosity were the main factors affecting stable infiltration rate. The main factors affecting average infiltration rate were the initial soil moisture content and 0.5−1 mmwater-stable aggregates.
Conclusion In a certain range (800−2 200 plant/ha), with the increase of age and density of Robinia pseudoacacia forest, the soil structure is improved, and the soil infiltration performance is gradually improved. Under the same stand density, the 35-year Robinia pseudoacacia forest shows better infiltration performance than others.

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Soil infiltration characteristics and influencing factors of Robinia pseudoacacia plantation in the loess gully region of western Shanxi Province, northern China