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The objective of this paper is to present the application of interception
model developed in artificial lowland tropical forest. This model estimates
annual canopy interception loss with temporal resolution effects. A
12-month data from 2 plots in study area were collected and the measured
interception loss was compared with results calculated usin...
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... with 5 m intervals. Throughfall is measured by several throughfall collectors randomly located below the canopy cover. Since the canopy area of the forest is dense; the volume of throughfall was divided with the receiving area of the collector to obtain throughfall value in depth (mm) ( Yusop et al., 2003). The throughfall collector is shown in Fig. ...
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... Other studies show that canopy cover is a crucial measure of the forest condition and it is used in studies of climate change reduction, disease observation, and forest management [22]. While the canopy cover affects the rainfall interception, it also is affected by the rainfall temporal resolution [23]. Unfortunately, there is still a lack of study concentrating on the mendapatkan nilai penutupan kanopi. ...
This study was designed to determine the canopy cover, c of the tropical forest and explore its effects on the interception loss amount. The study area was a reserved forest Lagong Hill Forest Reserve, Kepong, Selangor, Malaysia, where two plots with an area of 400 m2 (20 m x 20 m) each have been set up to collect the data. In order to determine the measured interception loss, rainfall, throughfall, and stemflow data have been measured on site. The tree with a diameter at breast height (dbh) of more than 10 cm was selected in collecting the stemflow data. Twenty-five (25) locations have been chosen for the digital hemispherical photographs to be taken. The forest standing of the study area has been visualised by Stand Visualization System (SVS) method, and WinSCanopy 2009a and RGBFisheye.exe application software has been used to obtain the canopy cover values. In this study, the correlation between canopy cover and interception loss were obtained for both plots. It is found that the Lagong Hill Forest Reserve varied has a compact canopy density with canopy cover up to 95%. This condition will affect the canopy interception loss value ranging from 24.83% up to 64.72%. The canopy cover and interception loss correlation denote that the interception loss amount reduces whilst the canopy cover increases.
... Most studies have remained stuck measuring forest structure with 1-dimension metrics. Leaf area index (LAI) has been the most common parameter in the recent literature (Azinoor-Azida & Minjiao, 2015;Fathizadeh, Mohsen-Hosseini, & Keim, 2016;Ghimire et al., 2017;Llorens & Domingo, 2007b;Peng et al., 2014;Zhang, Wang, Hu, Pan, & Paradeloc, 2015). Studies in Iran showed that the ration of interception to gross precipitation and canopy storage increased with LAI (Fathizadeh et al., 2016). ...
Water resource scarcity and uneven distribution are two 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 eight runoff 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 runoff and forest structure were analyzed 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 runoff 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 runoff 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 runoff in arid regions, forest managers should harvest trees with large canopies and construct complex vertical structures by intermediate cutting.
Hydrology controls the chemical and biotic processes in peatlands, influencing interactions among vegetation, nutrient dynamics, and carbon fluxes. The effects of forest degradation revealed severe changes in the hydrological cycle such as variability of water input on forest floor, soil water storage and the ability to abstract water from soil depth. A study had been conducted to investigate part of the water cycle, the amount of water and carbon input through stemflow into peatland forest floor for 2 years. Stemflow was measured on 20 trees of each 3 blocks of forest with tree diameter ranging from 10-30 cm dbh using stemflow collectors. Then the trees were grouped to three bark types (smooth, mid, and coarse) to investigate whether it had influenced the inputs. Results showed that with mean annual precipitation of 3282 ± 128mm, annual mean stemflow for the area was 18.2% of the rainfall. Further analysis demonstrated that tree species with smoother bark textures tend to bring more water to forest floor compared to mid and coarse bark textures (46% and 42.5% more than coarse and intermediate consecutively). The carbon input also show similar trend. The results implied that tree species influence the amount of stemflow and significant amount of water could be slower down come to forest floor through this mechanism and protected forest soil. © 2017, Society for Indonesian Biodiversity. All rights reserved.
