Analysis and simulation of interception characteristics of broad-leaved forest canopy based on parameter optimization: Dianchi basin case

The redistribution effect of the canopy precipitation interception is a critical component of the water cycle and water balance in basin ecosystem. However, traditional canopy interception models often fail to fully consider the reasonableness of model parameter values in practical applications. Thi...

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Main Authors: Qi Yi, Shengfang Hou, Xiaodong Dou, Yuting Gao, Zhongbin Li, Yiyan Liu
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Ecological Indicators
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Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X25002833
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author Qi Yi
Shengfang Hou
Xiaodong Dou
Yuting Gao
Zhongbin Li
Yiyan Liu
author_facet Qi Yi
Shengfang Hou
Xiaodong Dou
Yuting Gao
Zhongbin Li
Yiyan Liu
author_sort Qi Yi
collection DOAJ
description The redistribution effect of the canopy precipitation interception is a critical component of the water cycle and water balance in basin ecosystem. However, traditional canopy interception models often fail to fully consider the reasonableness of model parameter values in practical applications. This study investigated the rainfall redistribution characteristics of three typical subtropical semi-humid evergreen broad-leaved forests in the Dianchi Basin of China. The model structure was improved by incorporating both canopy density and leaf area index (LAI) as indicators, and optimized the parameters using the Gauss-Newton algorithm, with appropriate threshold settings for absorption and additional interception. The results indicated that: (1) a power-function relationship exists between canopy interception and precipitation, which significantly influences precipitation redistribution. The interception rate for the three tree species ranged from 29.3% to 39.8%. (2) LAI and canopy closure are key factors influencing interception characteristics and should be included simultaneously in canopy interception model. (3) The Gaussian Newton’s algorithm effectively determines the optimal parameters of the forest canopy interception model under constraints. The refined model showed a good agreement with observed canopy interception for the three broad-leaved forests in the basin. These findings provide essential data for future studies on the role of forest canopy interception in watershed water cycles. The refined modelling approach minimizes deviations from natural processes when calibrating the model parameters, ensuring both scientific rigor and model accuracy. Furthermore, it offers valuable insights for parameter calibration in other hydrological and environmental models.
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publishDate 2025-04-01
publisher Elsevier
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series Ecological Indicators
spelling doaj-art-27c58b40e9cd4047a2ee3190c9674f902025-08-20T03:18:10ZengElsevierEcological Indicators1470-160X2025-04-0117311335210.1016/j.ecolind.2025.113352Analysis and simulation of interception characteristics of broad-leaved forest canopy based on parameter optimization: Dianchi basin caseQi Yi0Shengfang Hou1Xiaodong Dou2Yuting Gao3Zhongbin Li4Yiyan Liu5School of Earth Sciences, Yunnan University, Kunming 650500, China; Corresponding authors.School of Earth Sciences, Yunnan University, Kunming 650500, ChinaYunnan Meteorological Service Center, Kunming 650034, ChinaWuHai NO.1 Middle School, WuHai 016000, ChinaSchool of Information Science & Engineering, Yunnan University, Kunming 650500, China; Corresponding authors.Zhengzhou Art Infant Normal School, Zhengzhou 450099, ChinaThe redistribution effect of the canopy precipitation interception is a critical component of the water cycle and water balance in basin ecosystem. However, traditional canopy interception models often fail to fully consider the reasonableness of model parameter values in practical applications. This study investigated the rainfall redistribution characteristics of three typical subtropical semi-humid evergreen broad-leaved forests in the Dianchi Basin of China. The model structure was improved by incorporating both canopy density and leaf area index (LAI) as indicators, and optimized the parameters using the Gauss-Newton algorithm, with appropriate threshold settings for absorption and additional interception. The results indicated that: (1) a power-function relationship exists between canopy interception and precipitation, which significantly influences precipitation redistribution. The interception rate for the three tree species ranged from 29.3% to 39.8%. (2) LAI and canopy closure are key factors influencing interception characteristics and should be included simultaneously in canopy interception model. (3) The Gaussian Newton’s algorithm effectively determines the optimal parameters of the forest canopy interception model under constraints. The refined model showed a good agreement with observed canopy interception for the three broad-leaved forests in the basin. These findings provide essential data for future studies on the role of forest canopy interception in watershed water cycles. The refined modelling approach minimizes deviations from natural processes when calibrating the model parameters, ensuring both scientific rigor and model accuracy. Furthermore, it offers valuable insights for parameter calibration in other hydrological and environmental models.http://www.sciencedirect.com/science/article/pii/S1470160X25002833Broad-leaved forestsDianchi basinCanopy interception modelGauss-Newton algorithmRainfall redistribution
spellingShingle Qi Yi
Shengfang Hou
Xiaodong Dou
Yuting Gao
Zhongbin Li
Yiyan Liu
Analysis and simulation of interception characteristics of broad-leaved forest canopy based on parameter optimization: Dianchi basin case
Ecological Indicators
Broad-leaved forests
Dianchi basin
Canopy interception model
Gauss-Newton algorithm
Rainfall redistribution
title Analysis and simulation of interception characteristics of broad-leaved forest canopy based on parameter optimization: Dianchi basin case
title_full Analysis and simulation of interception characteristics of broad-leaved forest canopy based on parameter optimization: Dianchi basin case
title_fullStr Analysis and simulation of interception characteristics of broad-leaved forest canopy based on parameter optimization: Dianchi basin case
title_full_unstemmed Analysis and simulation of interception characteristics of broad-leaved forest canopy based on parameter optimization: Dianchi basin case
title_short Analysis and simulation of interception characteristics of broad-leaved forest canopy based on parameter optimization: Dianchi basin case
title_sort analysis and simulation of interception characteristics of broad leaved forest canopy based on parameter optimization dianchi basin case
topic Broad-leaved forests
Dianchi basin
Canopy interception model
Gauss-Newton algorithm
Rainfall redistribution
url http://www.sciencedirect.com/science/article/pii/S1470160X25002833
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