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Canopy interception characteristics of Quercus acutissima plantation forest in Mountain Tai, China and its estimation by the revised Gash model |
LI Cheng1, GAO Peng1, DONG Xuede1, JIANG Yaokun1, ZHANG Yiqun2, LIU Haiyan2, XU Jingwei3, DUN Xingjian3 |
1. Shandong Agricultural University, Forestry College, Mountain Tai Forest Ecosystem Research Station of State Forestry and Grassland Administration, 271018, Tai'an, Shandong, China; 2. Yaoxiang Forest Farm of Shandong Province, 271018, Tai'an, Shandong, China; 3. Shandong Academy of Forestry, 250014, Jinan, China |
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Abstract [Background] Canopy interception can influence the spatial distribution and quantity of precipitation, which is very important for studying the water balance and nutrient cycling of forest ecosystems.[Methods] In a Quercus acutissima plantation forest in Mount Tai, China, 25 precipitation events were quantified and analyzed during the 2018 growing season. The revised Gash model was used to estimate the canopy interception and precipitation partitioning, and the suitability of the revised Gash model for estimating the canopy interception and redistribution of precipitation was evaluated.[Results] Precipitation outside the forest was 841.10 mm, of which 152.24 mm (18.10%), 10.06 mm (1.19%) and 678.80 mm (80.70%) were canopy interception, stemflow and throughfall, respectively. During the observation period, precipitation events were mainly moderate or light rain, accounting for 64% of the gross precipitation. The results of the precipitation partitioning model estimation using the revised Gash model showed that the majority of canopy interception was the amount of evaporation during the precipitation process and the amount of canopy interception during the canopy humidification stage. The errors between the estimated and observed values for canopy interception, throughfall and stemflow were 6%, 2%, and 9%, respectively.[Conculsions] This proves that the revised Gash model estimation for canopy interception and redistribution of precipitation is highly reliable and that the revised Gash model is suitable for estimating the canopy interception of the Q. acutissima plantation forest in Mount Tai, China. The sensitivity analysis indicates that the revised Gash model is strongly sensitive to changes of parameters in the mean precipitation intensity (R), mean evaporation rate(E)and canopy storage capacity (S); however, changes in trunk storage capacity (St), canopy density (c) and the coefficient of rainwater diverted to stemflow (Pt) have little effect on the revised Gash Model.
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Received: 15 May 2019
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