Christine Knie and Kirsten Möller (University of Giessen/Germany)
The University of Giessen is currently planning a research project on Watershed Management in the Tropical Highlands of the Lower Mekong Basin. Research focus is on the analysis of land use conflicts in watershed areas, different approaches of Watershed Management in general, and, in particular, the application of new technologies in this context. The project goal is to develop a data base concept and operation framework which can serve –within certain limits-- as a turnkey package for other mountain watersheds in southeast Asia.
The watersheds of southeast Asia’s mountain regions are characterized by the permanent conflict between the need for conservation of natural resources on one hand and constantly growing population and land use pressure on the other.
Past experience has proved that environmental protection and conservation concepts can only be successful if socio-cultural and economic aspects are given equal weight to ecological considerations. The mountainous regions of southeast Asia are fragile regional ecosystems in which increasing deforestation and forest degradation directly impact on the entire ecological infrastructure (e.g., hydrological and soil resources, not to mention the local climate). At the same time, the mountain areas of southeast Asia are home to various, often competing groups. A conflict-prone frontier is formed between the traditional home of various hill tribes (characterized by a great variety of ethno-specific land use systems) and the fast-expanding population of the lowland areas. Further complicating the situation, the (governmental) forest administrations pursue their own particular interests in the mountain areas.
These problems are typical for the regions’ tropical mountain areas, in other words, they are not country specific. For example, in Thailand the process of deforestation and watershed degradation and the resulting land use conflicts has progressed particularly far, but the same trends can be observed in its neighbors -- Laos, Vietnam, Myanmar and even in Southern China.
Modern technologies and, in particular, state-of-the-art geographical information systems (GIS) offer the potential for efficient compilation and evaluation of already existing data in order to identify generally valid, location-independent problem solving strategies. The planned project is designed to supply a region-specific conflict management framework which would be generally applicable in southeast Asia’s tropical mountain areas. It is anticipated that such a framework would be generally valuable, and particularly interesting for technical cooperation projects dealing with land use, forestry, regional planning or natural resource management aspects in the region.
Tasks to achieve this objective would include the following: (a) comprehensive data compilation, (b) the installation of a geographic information system (GIS), (c). preparation of a digital data base (information preparation including conversion from analogous to digital format where necessary), (d) information from existing topographical maps will be complemented by multi-temporal analyses of suitable satellite images and aerial photos. The required attribute data will be integrated into the GIS by means of a task- and project-adapted relational database.
The ecological- and socio-cultural development as well as the conflict potential of the selected study areas will be analyzed and assessed with regard to the land capability and its development potential vis-à-vis natural resource management. Potential land use conflicts are to be illustrated with various land use scenarios. An improved classification framework is to be developed that will be thoroughly tested for practical feasibility. The new Information System is to be carefully checked on transferability and user friendliness.
Thematic layers to be established in the GIS-database include the following: base map information about settlements, roads, administrative boundaries, drainage network, watershed and sub-watershed boundaries - the ecological, socio-economical and socio-cultural development - land capability and watershed conservation classifications as well as selected land use scenarios
The data compilation and processing will be clearly documented and recommendations for future data compilation activities detailed. The study results are expected to be presented at various decision-maker levels. Based on these results, training packages will be prepared and tested.
Traditional approaches have seen watershed management primarily as a physiogeographical and ecological problem. In contrast to this 'traditional' perspective, the proposed project plans an interdisciplinary approach which takes into account not only ecological but also socio-cultural and economic factors. The advantage of such a 'broader' approach is a much more comprehensive information foundation for the development of concepts for conserving natural resources. The integrated consideration of ecological and socio-economical factors allows a more effective and more 'holistic' analysis and evaluation of the present land use pattern and land use systems, including their specific conflicts, potentials and risks.
The GIS will be used to illustrate the mutual impacts and feedback processes of the various factors and the structure of conflicts which determine watershed management. An important aim of the project will be to illustrate the potential of "sustainable information use". This term basically refers to an improved exploitation of currently underutilized existing data by data integration and improved data exchange.
The main objective and hence also a major justification of the proposed project is to compile results which are (largely) transferable to other, comparable watersheds elsewhere in the mountain areas of the whole project region. It is anticipated that the analysis process as well as the resulting evaluation and classification models developed for selected pilot areas will in principle be transferable to any other mountain watershed. For this reason the project will document in detail not only the actual study results but also the implementation of the various steps of the data compilation and data processing procedures. The final project objective is to establish a data base concept and operation framework which can be taken – within certain limits - as a turnkey package for other mountain watershed in southeast Asia. Hence, the final documentation will be compiled in such a way that it can be used as a sort of 'watershed management manual'. Based on this manual, training packages can be established for specific aspects.
In the context of watershed management, the application of GIS/GPS/RS and land use management is one of the research focuses of the GIS-Department at the Institute of Geography at the University of Giessen.
In order to prevent further degradation of the natural resources of the tropical highlands of the lower Mekong Basin, a well-functioning system of land use planning is required. During the last years, new approaches for watershed management focused on the integration of new technologies like GIS/GPS/RS into management concepts. These new technologies by themselves cannot solve existing problems, but they are certainly effective tools to compile, analyze and update land use planning relevant information.
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Example: BASIC ANALYSIS OF |
Basic Analysis of the existing Watershed Classi./,fication of Thailand, established 1983, and of two new approaches which applied modern technologies (Kasetsart University Bangkok 1990 and Cranfield University 1992)
Aim of the ClassificationPrevention of Environmental Degradation |
Basic DataTopographical Map 1:50.000 (TM 50) 1967 Soil Map 1:100.000 Geology Map 1:250.000 Smallest Grid Size of Data Analysis: 1km² |
FactorsSlope, Elevation Landform Soil, Geology Forest Cover |
Data ProcessingManual Analysis and Interpretation of Analogous Maps Statistical Factor Analysis |
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CLASSIFICATION SCHEME |
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Class 1 |
very high elevation and very steep slopes |
=> Protected or conservation forest and headwater source |
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Class 1A: |
very high elevation and very steep slopes |
=> Protection |
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Class 1B: |
very high elevation and very steep slopes |
=> Should be reforested or maintain in permanent agroforestry |
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Class 2 |
high elevation and steep |
=> Commercial forest |
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Class 3 |
uplands with steep slopes |
=> Fruit tree plantation |
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Class 4 |
gentle slope areas |
=> Upland farming |
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Class 5 |
gentle slopes, flat areas |
=> Lowland farming |
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FACTOR ANALYSIS |
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Slope |
Source: Contour lines of the TM 50 Percentage of Slope was calculated for the steepest region per grid (1 km²) |
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Landform |
Source: Contour lines of the TM 50
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Elevation |
Source: Contour lines of the TM 50
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Soil |
Source: Soil Map 1:100.000
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Geology |
Source: Geology Map 1:250.000
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Forest |
Source: Aerial Photos - Actual Forest Cover- |
Aim of the ClassificationLand use Planning with Regard to Ecological and Economical Variables |
Basic DataTopographical Map 1:50.000 (TM 50) 1967 Land use map of the department of land development (1989) SPOT Pan 1987 |
FactorsSlope, Elevation Water Availability, Infrastructure Location of Villages, Forest Cover
Soil and Geology is not analyzed |
Data ProcessingUpdating Land use Map by Map and Satellite Analysis with GIS Digital Terrain Model (DTM) Slope Values from DTM Final Analysis and Classification using Overlay-Functions of GIS |
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CLASSIFICATION SCHEME |
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Classes |
Proposed Land Use |
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Class 6 |
>50% Slope |
Forest |
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Class 5 |
25-50% Slope and 800-1600 m Elevation |
Coffee, tea and cattle farming |
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Class 4 |
25-50% Slope and <800 m Elevation |
Fruit trees and cattle farming |
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Class 3 |
10-25% Slope and <1600 m Elevation |
Food crops using conservation practices |
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Class 2 |
<10% Slope and 800-1600 m Elevation |
Short growing rice, mixed with temperate food crops |
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Class 1 |
<10% Slope and <800 m Elevation |
Rice mixed with food crops |
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FACTOR ANALYSIS |
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Slope |
Source: Digital Terrain Model (DTM) based on 100 m contour lines of TM 50 4 Slope Classes ( 0-10; 10-25; 25-50; >50% Slope) |
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Elevation |
Source: TM 50 3 Elevation Classes (<800; 800-1600; >1600m) |
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Forest Cover |
Source: Land Use Map 1:50.000 from Department of Land Development-updated by interpretation of SPOT Pan Images- |
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Water Availability |
Source: TM 50 high suitable => perennial drainage: 0 - 500m |
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Location of Villages |
Source: TM 50 – Distance (of potential fields) from villages - high suitable: 0 - 1000m |
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Infra-structure |
Source: TM 50 – Distance (of potential fields) from roads - -Updated by interpretation of SPOT Pan Images- high suitable: distance from main road: 0 - 1500m |
Aim of the ClassificationNatural Resource Management - Land Capability Study (in order to support the environment as well as the people) |
Basic DataTopographical Map 1:50.000 (TM 50) Landuse Map (Classified with Landsat TM Satellite Image, 1992) |
FactorsSlope, Elevation Water Availability Infrastructure, Location of villages Forest Cover
Soil and Geology is not analyzed |
Data ProcessingMap and Satellite Analysis with RS/GIS Digital Elevation Model (DEM) Slope Values from DEM Data Overlays, Buffers, Various Scenarios of Potential Landuse, Final Analysis and Classifications with GIS |
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CLASSIFICATION SCHEME |
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Classes |
Proposed Land Use |
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Class 1 |
Conservation / Permanent |
Thinning and selective harvesting of hard and soft wood and minor forest products Promotion of tourism (soft tourism) |
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Class 2 |
Low Potential |
Diversified reforestation and forest plantations on larger scale Village woodlots for construction timber on smaller scale Permanent agroforestry, Fruit trees and Orchards, Promotion of tourism (soft tourism) |
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Class 3 |
Moderate Potential |
Forest plantations of soft wood with shorter rotation, Fruit trees, Flower and Mushroom production, Agroforestry (coffee, tea, miang), Cut and carry for livestock Maintain: permanent ground cover |
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Class 4 |
High Potential |
Vegetables, Maize, Sugar Cane, Cassava, Tobacco, Soybean, Potatoes, Beans, Strawberries, etc. Main objective: maintenance of permanent ground cover |
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Class 5 |
Highest Potential |
Rice paddy and vegetables for cash crops Intensive cultivation |
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FACTOR ANALYSIS |
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Slope |
Source: Two different Slope Maps derived from Digital Elevation Model (DEM) Contour lines: 100 elevation points per square kilometer from TM50 were digitized and SPANS was used for processing Slope Map1 - 5 Classes: 0-10; 11-25; 26-50; 51-100; >100% Slope Map2 - 5 Classes: 0-10; 11-20; 21-45; 46-100; >100% |
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Elevation |
Source: Elevation Map derived from DEM (similar procedure as for slope maps) 4 Classes: 600-800; 800-1000; 1000-1200; > 1200m |
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Forest Cover |
Forest Cover Source: TM 50 and actual Land Use Map |
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Water |
Water Availability Source: TM 50 and actual Land Use Map 2 Buffer Zones: 300; 500m |
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Infrastructure |
Distance from roads and tracks Source: TM 50 and actual Land Use Map 4 Buffer Zones: 0-0,5; 0,5-1; 1-1,5; 1,5-2,5 km |
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Location of Villages |
Distance to the (potential) fields Source: TM 50, actual Land Use Map 4 Buffer Zones: 0,5; 1,5; 2,5; 5 km |