Effects of Soil Physical Properties on Soil Infiltration in Forest Ecosystems of Southeast China

Soil infiltration properties (SIPs) are important components of forest hydrological responses; however, few studies have investigated the mechanisms through which soil physical properties affect SIPs. In this study, two SIPs, the initial infiltration rate (IIR) and saturated hydraulic conductivity (Ks), were quantified at five soil depths (0–10, 10–20, 20–30, 30–40, and 40–50 cm) in three forest stands (pine (Pinus taeda), oak (Quercus acutissima), and bamboo (Phyllostachys edulis) forests). We constructed a structural equation model (SEM) to analyze the main physical properties affecting the SIPs and their influence pathways, and the results show that the IIR and Ks values for the whole soil profile decreased as follows: pine forest > oak forest > bamboo forest. Soil total porosity (STP), soil field capacity (SFC), capillary water holding capacity (CMC), saturated water capacity (SWC), and initial soil water content (ISWC) were positively correlated with the SIPs, while soil bulk density (SBD) was negatively correlated with the SIPs. The SEM indicated that the main positive driver of soil infiltration was STP, while the sand content and SBD reduced soil infiltration. Soil texture indirectly affected SBD by mediating STP, and SBD indirectly affected the SIPs through SWC. These results provide data that support the simulation of subsurface hydrological responses in forests and have significant implications for forest management.

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Publication Details

Journal
Forests
Published
2024-08-21
DOI
https://doi.org/10.3390/f15081470
Citations
15
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
5.01

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article

Effects of Soil Physical Properties on Soil Infiltration in Forest Ecosystems of Southeast China

Jinhong Chen, Yinghu Zhang, Di Wang, Zhiying Tang
15 citations
Forests
Soil erosion and sediment transport
5.01
article

Effects of Soil Physical Properties on Soil Infiltration in Forest Ecosystems of Southeast China

Jinhong Chen, Yinghu Zhang, Di Wang, Zhiying Tang
article en
15 citations

Abstract

Soil infiltration properties (SIPs) are important components of forest hydrological responses; however, few studies have investigated the mechanisms through which soil physical properties affect SIPs. In this study, two SIPs, the initial infiltration rate (IIR) and saturated hydraulic conductivity (Ks), were quantified at five soil depths (0–10, 10–20, 20–30, 30–40, and 40–50 cm) in three forest stands (pine (Pinus taeda), oak (Quercus acutissima), and bamboo (Phyllostachys edulis) forests). We constructed a structural equation model (SEM) to analyze the main physical properties affecting the SIPs and their influence pathways, and the results show that the IIR and Ks values for the whole soil profile decreased as follows: pine forest > oak forest > bamboo forest. Soil total porosity (STP), soil field capacity (SFC), capillary water holding capacity (CMC), saturated water capacity (SWC), and initial soil water content (ISWC) were positively correlated with the SIPs, while soil bulk density (SBD) was negatively correlated with the SIPs. The SEM indicated that the main positive driver of soil infiltration was STP, while the sand content and SBD reduced soil infiltration. Soil texture indirectly affected SBD by mediating STP, and SBD indirectly affected the SIPs through SWC. These results provide data that support the simulation of subsurface hydrological responses in forests and have significant implications for forest management.

ForestsVol. 15(8)
Nanjing Forestry University (CN)
National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, National College Students Innovation and Entrepreneurship Training Program
Life in Land
Openalex Percentile: Top 5%
Soil erosion and sediment transport
5.01
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Effects of Soil Physical Properties on Soil Infiltration in Forest Ecosystems of Southeast China — Jinhong Chen, Yinghu Zhang, et al. · Forests (2024) | TGRS Research Map | TGRS