Watershed Classification with GIS as an
Instrument of Conflict Management in Tropical Highlands
of the Lower Mekong Basin


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.

PROBLEM BACKGROUND

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.

 

EXPECTED RESULTS

Data are compiled electronically, prepared and integrated.

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.

An Information System is established.

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.

A digital 'atlas' of a pilot area is established.

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

Presentation of the results

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.

 

APPLICATION RELEVANCE AND APPLICATION POTENTIAL

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.

 

WATERSHED MANAGEMENT APPROACHES IN TROPICAL HIGHLANDS

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.

Topics of Research Approach

Example: BASIC ANALYSIS OF
WATERSHED CLASSIFICATION OF THAILAND

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)

Key Questions:

1. Existing Watershed Classification Developed by National Environment Board of the Kasetsart University in Bangkok Thailand (1983)

Aim of the Classification

Prevention of Environmental Degradation

Basic Data

Topographical Map 1:50.000 (TM 50) 1967

Soil Map 1:100.000

Geology Map 1:250.000

Smallest Grid Size of Data Analysis: 1km²

Factors

Slope, Elevation

Landform

Soil, Geology

Forest Cover

Data Processing

Manual Analysis and Interpretation of Analogous Maps

Statistical Factor Analysis

CLASSIFICATION SCHEME

Class 1

very high elevation and very steep slopes

=> Protected or conservation forest and headwater source

Class 1A:
Permanent Forest Cover

very high elevation and very steep slopes

=> Protection

Class 1B:
Permanent Forest with already cleared areas

very high elevation and very steep slopes

=> Should be reforested or maintain in permanent agroforestry

Class 2

high elevation and steep
up to very steep slopes

=> Commercial forest

Class 3

uplands with steep slopes

=> Fruit tree plantation

Class 4

gentle slope areas

=> Upland farming

Class 5

gentle slopes, flat areas

=> Lowland farming

FACTOR ANALYSIS

Slope

Source: Contour lines of the TM 50

Percentage of Slope was calculated for the steepest region per grid (1 km²)

Landform

Source: Contour lines of the TM 50

  • Minimum values for areas with high relief energy,
  • Maximum values for areas with stable landforms

Elevation

Source: Contour lines of the TM 50

  • Average Elevation was calculated and divided by ten to get the percentage (750m=75%)

Soil

Source: Soil Map 1:100.000

  • Minimum values for most erosive, low fertility and shallow soils
  • Maximum values for most stable, deep and fertile soils

Geology

Source: Geology Map 1:250.000

  • Low values for geologic formations which cause erosive, low fertility and shallow soils
  • Maximum values for geologic formations which cause stable, deep and fertile soils

Forest

Source: Aerial Photos - Actual Forest Cover-

COMMENTS

 

2. Approach 1: Maathuis B.H.P., Geo-Ecological Mapping Project, University of Chiang Mai (1990)

Aim of the Classification

Land use Planning with Regard to Ecological and Economical Variables

Basic Data

Topographical Map 1:50.000 (TM 50) 1967

Land use map of the department of land development (1989)

SPOT Pan 1987

Factors

Slope, Elevation

Water Availability, Infrastructure

Location of Villages, Forest Cover

 

Soil and Geology is not analyzed

Data Processing

Updating 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

CLASSIFICATION SCHEME

Classes

Proposed Land Use

Class 6

>50% Slope

Forest

Class 5

25-50% Slope and 800-1600 m Elevation

Coffee, tea and cattle farming

Class 4

25-50% Slope and <800 m Elevation

Fruit trees and cattle farming

Class 3

10-25% Slope and <1600 m Elevation

Food crops using conservation practices

Class 2

<10% Slope and 800-1600 m Elevation

Short growing rice, mixed with temperate food crops

Class 1

<10% Slope and <800 m Elevation

Rice mixed with food crops

FACTOR ANALYSIS

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)

Elevation

Source: TM 50

3 Elevation Classes (<800; 800-1600; >1600m)

Forest Cover

Source: Land Use Map 1:50.000 from Department of Land Development

-updated by interpretation of SPOT Pan Images-

Water Availability

Source: TM 50

high suitable => perennial drainage: 0 - 500m
medium suitable => perennial drainage: 500 - 1000m
periodical drainage: 0 - 250m

Location of Villages

Source: TM 50 – Distance (of potential fields) from villages -
-updated by interpretation of SPOT Pan Images-

high suitable: 0 - 1000m
medium suitable: 1000 - 2000m

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
medium suitable: distance from main road: 1500 - 3000m
and/or distance from tracks: 0 - 1000m

COMMENTS

 

3. Approach 2: Dr. H. Weyerhaeuser (1994): Revised land capability classification for a Watershed in Northern Thailand, MSC Thesis, Cranfield University

Aim of the Classification

Natural Resource Management - Land Capability Study (in order to support the environment as well as the people)

Basic Data

Topographical Map 1:50.000 (TM 50)

Landuse Map (Classified with Landsat TM Satellite Image, 1992)

Factors

Slope, Elevation

Water Availability

Infrastructure, Location of villages

Forest Cover

 

Soil and Geology is not analyzed

Data Processing

Map 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

CLASSIFICATION SCHEME

Classes

Proposed Land Use

Class 1

Conservation /

Permanent
Forest Cover

Thinning and selective harvesting of hard and soft wood and minor forest products

Promotion of tourism (soft tourism)

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)

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

Class 4

High Potential

Vegetables, Maize, Sugar Cane, Cassava, Tobacco, Soybean, Potatoes, Beans, Strawberries, etc.

Main objective: maintenance of permanent ground cover

Class 5

Highest Potential

Rice paddy and vegetables for cash crops

Intensive cultivation

FACTOR ANALYSIS

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%

Elevation

Source: Elevation Map derived from DEM

(similar procedure as for slope maps)

4 Classes: 600-800; 800-1000; 1000-1200; > 1200m

Forest Cover

Forest Cover

Source: TM 50 and actual Land Use Map

Water

Water Availability

Source: TM 50 and actual Land Use Map

2 Buffer Zones: 300; 500m

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

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

COMMENTS

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