Land use optimization in Waeriuapa watershed, Kairatu, Seram, Maluku, Indonesia using geographical information system and linear programming
1994
Oszaer, R.
The average rate of soil erosion from the Waeriuapa watershed was 8.4 t/ha/yr. The highest and lowest soil erosions of 78.86 t/ha/yr and 0.11 t/ha/yr were from mixed perennial crop land with slope class of 8-15 percent and from protection forest with slope class of 8-15 percent, respectively. In terms of land use (regardless of slope) average soil erosions were estimated at 0.97, 1.72, 3.03, 45.98, 3.1, 0.39 and 3.68 t/ha/yr from the area occupied by protection forest, residual forest, brush and grass, perennial crops, annual crops, irrigated field and sago area, respectively. Ten Land Response Units (LRU) were delineated based on the elevation, slope and erosion index. The Waeriuapa watershed was classified into five land capability classes, within which the 10 LRU were distributed. Maximum CP value for each LRU was also estimated, as a basis for selecting suitable land use. Optimization of land use to maximize profit from goods and services from the Waeriuapa watershed was made using Linear Programming Model. There were 26 alternative land uses allocated in 10 LRUs. The solution of the model showed that the watershed products were able to satisfy all demands in the area. The land uses that contributed to the maximum profit were, rice-rice (1.7 percent), rice-rice-soybean (3.1 percent), onion-onion + corn (28.9 percent), corn + peanut-cabbage (0.09 percent), cassava-corn + peanut (1.3 percent), mixed fruits (0.14 percent), mixed clove + nutmeg (34.8 percent), mixed citrus + pineapple (27.2 percent), agroforestry type 1 (0.06 percent), mixed coconut + pineapple (0.11 percent), mixed Albizia + Gmelina plantation forest (2.5 percent) and protection forest (0.1 percent)
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par University of the Philippines at Los Baños
Découvrez la collection de ce fournisseur de données dans AGRIS