Full text: Proceedings, XXth congress (Part 7)

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B7. Istanbul 2004 
  
  
3.4 Identifying Forest Areas Critical to Erosion Control 
Dominant soil in the tropical rain forests in Indonesia is the red- 
yellow podzolic (Acrisols), which is highly vulnerable to 
erosion. Exposed tropical soils degrade quickly due to leaching 
of nutrients, burning of humus, laterisation of minerals and 
accelerated erosion of top soil. Forest areas, which are 
important in maintaining terrain stability (Le. to control 
excessive erosion, which can lead to landslides and serious 
siltation), in an area where the consequences are severe, should 
be considered as HCVF. In this study, an estimation of potential 
erosion risk in the study area was carried out to identify the 
areas with high erosion risk. To spatially estimate the potential 
erosion risk, distribution of rainfall intensity, slope length and 
slope steepness factor derived from Digital Elevation Model 
(DEM), soil map and land cover map were used to establish a 
map of potential erosion risk. A universal model developed by 
USDA-ARS, Universal Soil Loss Equation (USLE) 
(Weischmeier and Smith 1978) is used to estimate the erosion 
risk of the study area. Figure 4 illustrates the general process in 
estimating relative soil loss in GIS environment. 
4. RESULTS 
4.1 Identification of High Conservation Value Forest 
(HCVF) 
4.1.1 Forest Areas Function as Unique Source of Drinking 
Water (HCVF 4.1) 
Considering major and minor river systems in the study area, 
stream network map and division of river systems in Berau 
area, the delineated catchment partitions then were grouped 
based on river system where the flow of the catchments 
accumulate. The major river systems are Segah and Kelay 
River, while the minor river systems are Sidu’ung and Siagung 
River. The grouped catchments partitions with the river systems 
were identified. The catchment partitions within these particular 
villages are also considered as important for unique source 
drinking water. The areas functions as unique source of 
drinking water are presented in Figure 5. 
4.1.2 Forest Areas as part of Critical Major Catchments 
(HCVF 4.2) 
According to the result of the prioritisation of major catchments 
throughout the East Kalimantan Province, which is done by 
Ministry of Forestry, the priority scale to major catchments in 
the study area are all in level III. Based on the definition given 
by the Ministry of Forestry, priority scale I and II are given to 
critical catchment that need immediate action with regard to 
land rehabilitation and soil conservation, while priority III does 
not need such immediate rehabilitation, therefore the study area 
does not contain HCVF 4.2 elements. 
4.1.3 Forest Areas Critical to Erosion Control (HCVF 4.3) 
Factors contributing to annual soil loss estimation were 
determined using a Spatial Modeler, resulting in raster maps of 
rainfall erosivity (R factor), soil erodibility (K factor), slope 
length and steepness (LS factor) and vegetation cover and 
management (C factor). Since the identification of HCVF 4.3 
requires the erosion risk in the forested area, then the resulted 
erosion risk map was masked with land cover type map and 
resulting in the map of estimated soil erosion risk in the forest 
area. Annual soil loss of 11 ton.ha’'.yr' was adopted as the 
166 
threshold to differentiate high erosion risk with low erosion 
risk, therefore a reclassified map of forest area with high soil 
erosion risk is also produced and presented as orange and red 
pixels in Figure 6. By having the map of forest area with high 
soil erosion risk, the HCVF 4.3 is identified. 
4.2 The identified HCVF related to 
conservation 
soil and water 
Considering the ultimate objective of this research, which is 
“identifying high conservation value forest related to soil and 
water conservation”, a final map as compilation of the 
identified HCVF in the study area is presented in Figure 7. As 
can be seen in this final map, the concentration of forest areas 
function as unique source of drinking water for local 
communities (HCVF 4.1) are in the northern and northeastern 
part, exactly in the center and the eastern part of the FMU. 
Forest areas critical to erosion control (HCVF 4.3) are highly 
concentrated in the steep-hilly forest in the southern part of the 
FMU and sparsely concentrated in the eastern part of the FMU 
as well. Considering the current logging operations of the FMU, 
which is located within the boundary of identified HCVF 4.1 in 
the northeastern part of the FMU, special attention should be 
paid to minimize the logging impact to the supply of drinking 
water for communities in the transmigration settlement (Trans 
SP6). 
S. CONCLUSIONS 
Remote sensing and Geographic Information System had 
proved to be useful to support the identification of High 
Conservation Value Forests (HCVF) in the study area. 
The Digital Elevation Model derived from a contour line map is 
an essential input for analyses of physical hydrological features. 
The analyses are including catchment delineation, automatic 
derivation of stream network, flow routing and calculation of 
flow accumulation. 
Visual interpretation and manual digitising process allow 
delineation of several catchments simultaneously, while 
automatic catchment delineation provided by most GIS 
software concentrates to one catchment. Therefore, manual 
delineation is preferable to use. 
The national guideline for identification of HCVF in Indonesia, 
which provided by Proforest, is found very useful in building 
up the framework of preliminary HCVF identification. 
6. REFERENCE 
Fauzi, A. (2001). Remote sensing for detection tropical logged 
forest (A case study of Labanan Concession, East Kalimantan, 
Indonesia). ITC Enschede. Unpublished M.Sc Thesis. 91. 
  
  
Smartwood (2001). Smartwood Certification Assessment 
Report for: PT Inhutani I Labanan. Jakarta. 
Wastono, D. H. (2003) Interview Towards Common 
Perception of HCVF Guideline. Y. B. Sulistioadi. Labanan, 
East Kalimantan. 
Weischmeier, W. H. and D. D. Smith (1978). Predicting 
Rainfall Erosion Losses: A guide to conservation planning. 
Washington DC, US Department of Agriculture. 
Internation 
TIC 
pan 
490000 
Forest 
as Ur 
FD 
| 
Legend 
240000 
M 
FI 
   
  
210000 
1 
  
200000 
A 
  
  
Figure 5. ] 
water (HC? 
— 
  
Estim 
ton ha 
100000 
  
  
Ir 
Figure 6. S 
soil erosior 
Table 1. In 
  
  
  
No 
[HCV4 | F 
4.1 | F 
S( 
| —— 
42|F 
Ci 
43lF 
C( 
  
 
	        
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