Higher canopy interception capacity of forests restored to the climax stage in subtropical China. Issue 3 (13th March 2022)

• Record Type: Journal Article
• Authors: Sun, Shulan; Xiang, Wenhua; Ouyang, Shuai; Hu, Yanting; Zhao, Zhonghui; Xu, Xianli; Yue, Kai; Chen, Liang; Zeng, Yelin; Lei, Pifeng; Deng, Xiangwen; Wang, Jiurong; Wang, Kelin
• Is Part Of: Hydrological processes. Volume 36:Issue 3(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-03-13
• Subjects: rain intensity -- rainfall partitioning -- RGAM model -- sparse Rutter model -- subtropical secondary forest -- throughfall; Hydrology -- Periodicals; Hydrology -- Research -- Periodicals; Hydrologic models -- Periodicals; Hydrological forecasting -- Periodicals; 631.432
• DOI: 10.1002/hyp.14538
• Languages: English
• ISSNs: 0885-6087

Abstract

Abstract: Canopy interception loss is an important hydrological process that affects rainfall redistribution, nutrient cycling, and soil and water conservation in forest ecosystems. However, the manner in which interception loss is affected in forests that are in restoration stages dominated by different tree species has not been fully understood. In this study, interception loss, throughfall, and stemflow were measured consecutively for 2 years (May 2017 through April 2019) in three secondary forests in subtropical China: a coniferous and broadleaved mixed forest ( Pinus massoniana, Lithocarpus glaber, PM) in early restoration stage, a deciduous broadleaved forest ( Choerospondias axillaris, CA) in middle restoration stage, and an evergreen broadleaved forest ( L. glaber – Cyclobalanopsis glauca, LG) in late restoration stage. For a given amount of rainfall, the relative interception loss in the CA was significantly lower than that in the evergreen forests in summer, spring, or winter. The amount of interception loss during light rain, moderate rain, or heavy storms was also significantly lower in CA as compared to that in evergreen forests, owing to the lesser leaf area and phenology of deciduous tree species as well as a higher leaf area index (LAI) and stand density in PM and LG. Meanwhile, the highest relative interception loss, interception loss amount, canopy storage capacity, canopy cover fraction, and mean evaporation rate was observed in the climax forest (LG), which has a higher LAI and stand density. Further, the revised Gash's analytical model (RGAM) and the sparse Rutter models were successfully applied to simulate interception loss in these forests, with the RGAM performing better as compared to the sparse Rutter model. The results of the field measurements and model simulations depict that the climax community at the late restoration stage can effectively reduce the amount of rainwater reaching the soil surface, thus weakening the effect of flood peaks. Abstract : Highest interception loss occurred in climax forests at late restoration stage. Interception loss of light, moderate rain and heavy storms differed among forests. RGAM and sparse Rutter models were well fitted, with the RGAM performing better