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Impacts of forest structure on precipitation interception and run‐off generation in a semiarid region in northern China
Author(s) -
Liu Jiakai,
Zhang Zhenming,
Zhang Mingxiang
Publication year - 2018
Publication title -
hydrological processes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.222
H-Index - 161
eISSN - 1099-1085
pISSN - 0885-6087
DOI - 10.1002/hyp.13156
Subject(s) - interception , canopy , environmental science , canopy interception , shrub , leaf area index , tree canopy , basal area , precipitation , hydrology (agriculture) , atmospheric sciences , throughfall , forestry , ecology , geography , geology , meteorology , biology , geotechnical engineering
Abstract Water resource scarcity and uneven distribution are 2 major environmental issues in China today. Forest structure is a dominant factor that influences hydrological processes, but the specific interactions remain uncertain due to the predominant use of individual or 1‐dimensional forest structure metrics in previous studies. In this study, forest structures in 8 run‐off plots on Mount Miaofeng in north China were parameterized by metrics of different dimensionalities. The relation between canopy interception and forest structure, shrub/litter interception, and forest structure as well as run‐off and forest structure were analysed by regression method and validated by leave‐one‐out cross test. The results showed that canopy interception rates ranged from less than 0.10 all the way to 0.80, affected by forest structure and precipitation, with interception rate decreasing logarithmically as precipitation increased. Forests with a larger canopy area ( CA ), leaf area index ( LAI ), and higher average height ( H ) had a narrow range of canopy interception rates, and forest with larger value of diameters at breath height ( DBH ), H , LAI , vertical heterogeneity coefficient ( T ), and structure complexity index ( SCI ) had higher interception rates. Forests with higher value of DBH , H , and horizontal heterogeneity coefficient ( R ) had higher shrub/litter interception rates on the forest floor. The run‐off coefficient was only significantly associated with LAI , T , and SCI . The validation test indicated that regression analysis of canopy interception rates and shrub interception are reliable and SCI is a key factor to influence the run‐off coefficient. However, the regression results of litter interception have a relatively large error. According to the results, to reduce the risks of the landslides and floods, forest managers should complicate the canopy and preserve trees with thicker stems and larger canopies. By contrast, to obtain more water resource from run‐off in arid regions, forest managers should harvest trees with large canopies and construct complex vertical structures by intermediate cutting.