Statistical Analysis Correlation between Tree Architecture Models, Soil and Water Conservation at Gunung Halimun-Salak National Park

of high quality hose 2.5 cm inner diameter that was slit longitudinally and sealed to the trunk. This plastic hose conduce water to a container where it will be measured after each storm. Erosion and runoff plots were established at a 8-10 slope. Plots, 5 m long by 4 m wide total area 20 m 2 , and delineated with strips of metal buried to 10 cm depth to restrict water flowing onto the plots from the adjacent areas, were established for Castanopsis argentea, Michelia montana and the Control. A metal- sheet plot end placed at the bottom of the slope to convey runoff into a 10 cm PVC pipe which, in turn, delivered water and sediment into a100 L container. After each rainfall event, runoff was determined by measuring the water stage in the container. Eroded soil was collected from the drains, weighted and moisture content calculated. Multiple regression analysis was done to interpret linear relationships between factors by examining the statistical significance of the coefficients of multiple determinations. Principal component analysis was used to examine the correlation among the factors Jollife, 1986. During the study period, fifty total rainfall events were registered, accounting for a total rainfall amount of 952.77 mm.This large water yield from Gunung Halimun Salak National Park illustrates that tropical rainforests usually receive considerably more rainfall compared to other biomes. Measurements of stemflow and throughfall were found to represent 0.5 and 77.96 for Castanopsis argentea with Stone‟s model, 0.7 and 80.02 for Michelia montana with Petit‟s model, respectively of the cumulative precipitation input. Throughfall and stemflow importance varie from the total incident precipitation, depending on branch and stand morphology and on bark roughness. Measured runoff and soil loss data showed that Castanopsis argentea and Michelia Montana produced significantly less runoff and erosion than the Control. It was observed that an increase in rainfall did not produce an increment in runoff for the patches of Castanopsis argentea and Michelia montana likely the Control. On the contrary, increases in the amount of surface runoff lead to an increase in soil erosion for the control plot. However, these relationships are inconsistent in Castanopsis argentea and Michelia montana plots. Infiltration rate, is observed to be higher with Castanopsis argentea and Michelia Montana compared to the Control plot. Michelia Montana and Castanopsis argentea are likely to release more litterfall that increased amounts of carbon, nitrogen, and phosphorus into the soil community and promote rainfall infiltration into the soil and reduces overland flow velocities, thus diminishing the soil erosion potential. However, contribution of these major categories of inputs from the canopy occurs with differences among tree species, and even among canopy layers. Michelia montana more highly branched with a shell of drooping leaves on the outside of the crown appeared more efficient at intercepting the larger amounts of rainfall. Soil conservation parameters are positively correlated with tree architecture Stone‟s model for Castanopsis argentea and Petit‟s model for Michelia.The relative correlation of each variable demonstrated clearly that throughfall and runoff are far more correlated with soil erosion than rainfall and stemflow. Total runoff measured was 49.32 mm for the Control, 15.74mm for Castanopsis argentea with Stone‟s model and 10.87 mm for Michelia Montana with Petit‟s model. The two models Stone and Petit reduced runoff by 31.33 and 45.37 , respectively, as compared to the control surface. Cumulative soil loss values were quantified in 1.98 ton ha - 1 year -1 for the Control, 0.82 for Castanopsis argentea with architecture Stone‟s model and 0.76 for Michelia Montana with architecture Petit‟s model. Above results show that Michelia Montana Blume with architecture Petit‟s model is better than Castanopsis argentea BI . with architecture Stone‟s model to be developed in soil and water conservation.