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Land Use Planning in the OECS using the Automated Land Evaluation System (ALES)

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Title: Land Use Planning in the OECS using the Automated Land Evaluation System (ALES)


1
Land Use Planning in the OECS using the Automated
Land Evaluation System (ALES)
  • By
  • L.M. Fletcher-Paul
  • Integrated Natural Resources Management Officer,
    FAO, SLAC

2
Outline
  • Information needs for land use planning and
    current challenges in meeting these needs
  • The development of ALES and its capacity as a
    multi-dimensional, multi-use system
  • Perspectives on making progress with improved
    methods to measure sustainable land use

3
Land use planning - definition
  • Land use planning should be a decision-making
    process that facilitates the allocation of land
    to the uses that provide the greatest sustainable
    benefits (Agenda 21. Paragraph 10.5).
  • It is the systematic assessment of physical,
    social and economic factors in such a way as to
    encourage and assist land users in selecting
    options that increase their productivity, are
    sustainable and meet the needs of the society.

4
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5
INFORMATION NEEDSBio-physical factors
  • Soil and Physiography
  • Land Cover/ Land Use
  • Topography
  • Administrative
  • Hydrology

6
INFORMATION NEEDS Bio-physical factors
  • Infrastructure
  • Elevation
  • Protected Areas and Forest Reserves
  • Climate
  • Land parcel

7
INFORMATION NEEDSSocio-economic factors
  • Objectives
  • Resources
  • Constraints
  • Land tenure systems
  • Registration
  • Land rights

8
INFORMATION NEEDSSocio-economic factors
  • Land markets
  • Forms of incentive and taxation
  • Assessment of the fairness and adequacy of these
    incentives for sustainable development
  • Aspiration and felt needs of the different groups
    of land users
  • Costs of inputs
  • Current sale prices for outputs

9
INFORMATION NEEDSSocio-economic factors
  • Expected increase in local populations
  • Trends of inward and outward migration (permanent
    or seasonal)
  • Off-farm or off-region labour income
  • Level of capacity building
  • Extension services
  • Credit availability for farmers activities and
    other local enterprises
  • Rural health conditions, including occurrence of
    vector-borne diseases and pests

10
ISSUES AND CHALLENGESClimatic databases
  • All countries have a network of meteorological
    stations, to observe and document climate and
    weather conditions.
  • In areas of difficult access, these stations may
    be wide apart with a limited number of recording
    years
  • Time gaps in recording
  • Incompleteness in the range of attributes needed.

11
ISSUES AND CHALLENGESSoil and terrain
  • Classification criteria and naming of soils
    differ among countries, making correlations
    between classifications and countries difficult
  • No link between soil and terrain conditions and
    the overall landscape-ecological framework (a
    prerequisite for a holistic approach to land use
    planning)

12
ISSUES AND CHALLENGESWater resources databases
  • Analysis of data from meteorological stations
  • Repeated measurements of stream flows
  • Assessment of ground water reserves through
    borehole analysis
  • Amount and types of actual uses being made of the
    water resources.
  • Some countries may not have the equipment or
    resources to take these measurements on an
    on-going basis.
  • Cost of taking some of these measurements may be
    expensive.

13
ISSUES AND CHALLENGESLand cover and biodiversity
databases
  • Geo-referenced information on floral and faunal
    diversity is scarce
  • Areas of known or inferred archeological value or
    reflecting typical past land use systems need to
    be mapped

14
ISSUES AND CHALLENGESLand uses, crop and
production systems
  • Land use information is usually consolidated at
    district level rather than being fully
    georeferenced.
  • Lack of practical, simple and widely accepted
    method of describing land uses and production
    systems is a serious constraint
  • Each land use type should be assessed on its
    inherent sustainability, on the basis of a set of
    sustainable indicators

15
ISSUES AND CHALLENGESLand uses, crop and
production systems
  • Basic information on the environmental
    requirements of new cultivars and non-traditional
    crops is not widely available or may not be
    available for the conditions in some SIDS.
  • Existing databases are limited with respect to
    coverage and classes
  • Little management information included in maps

16
ISSUES AND CHALLENGES
  • Economy of inputs and outputs is liable to strong
    variability
  • Biophysical databases may have a useable lifetime
    of 20 - 30 years
  • Economic and social databases will normally have
    to be revised every 5 - 10 years.
  • Limitation in data availability and data quality
    at all scales, especially those that require
    substantial ground truthing
  • Lack of common data exchange formats and
    protocols
  • Inadequate communication means between computer
    systems, data suppliers and users.

17
ISSUES AND CHALLENGES
  • Data dispersed among many agencies
  • Maintenance and updating
  • Need for building awareness of the utility of the
    LRIS

18
The development of ALES and its capacity as a
multi-dimensional, multi-use system
19
Background
  • Regional TCP Project - Assistance in the
    Development of Land Use Planning and Agricultural
    Production Zoning in the OECS
  • Executed in Antigua and Barbuda, Dominica,
    Grenada, St. Kitts and Nevis, St. Lucia and St.
    Vincent and the Grenadines from January 2001 to
    January 2003.

20
Background (Continued)Objectives of the
Regional Project
  • To assist the Governments of the OECS Member
    States in the evaluation of their land resource
    base in specific areas in each country, with a
    view to developing policy options and programmes
    for the rationalisation of land use, the zoning
    of production and utilization of idle lands.
  • To assist the Governments in reviewing existing
    land use policies and to develop modified or new
    policy options that will facilitate the
    acceleration of the regional diversification
    programme.
  • To strengthen planning and management of land
    resources through improved systems of land
    evaluation in the OECS member states.

21
Background
  • As part of Objective 1, all countries were
    provided with computer hardware and software to
    establish a Land Resources Information System
    (LRIS) in the MOAs.
  • In Grenada, Dominica and St. Lucia, ALES was
    introduced to conduct the land evaluations.

22
What is ALES?
Automated Land Evaluation System is a computer
program that allows land evaluators to build
expert systems to evaluate land according to the
method presented in the FAO Framework on Land
Evaluation
23
Components of ALES
  • A framework for a knowledge base describing
    proposed land uses in both physical and economic
    terms
  • A framework for a database describing the land
    areas to be evaluated
  • An inference mechanism to relate these two,
    thereby computing the physical suitability of a
    set of map units for a set of proposed land uses

24
Components of ALES (Contd)
  • An explanation facility that allows model
    builders to understand and fine tune their models
  • A consultation mode that allows a casual user to
    query the system about one land use at a time
  • A report generator (on-screen, to a printer or to
    a disk file)
  • An import/export module that allows data to be
    exchanged within external databases, geographical
    information systems and spreadsheets.

25
Framework for decision-making
LAND EVALUATION
SOCIO-ECONOMIC EVALUATION
1
2
3
4
Land Resources Database
Economic Database
Social factors
Land Use Database
1. Costs of inputs 2. Sale prices
1. Objectives 2. Resources 3. Constraints
1. Soil 2. Climate 3. Other factors
1. Crop requirements 2. Production systems
5
Identify land management units
6
For each land management unit identify
i) possible crop(s) or products ii) possible
production systems iii) yield levels for
each iv) input/output ratio v) risk factor vi)
environmental impact
LAND USE OPTIONS
7
Carry out multiple goal optimization exercise to
maximise achievement of desired objectives
8
Select best land use
26
How ALES works
  • A two-stage approach
  • Physical land evaluation is first conducted
    matching soils, climate and land use with crop
    requirements (this eliminates land units which
    are not physically suitable.
  • Socio-economic evaluation conducted next to
    derive the suitability of the land unit for
    specific land utilization types e.g rain fed
    agriculture with low inputs or commercial
    agriculture with high inputs, etc.

27
More about ALES
  • ALES is highly interactive
  • ALES has a dBase interface
  • It does not display maps
  • ALES is not a GIS programme, but it can be linked
    with GIS systems such as ARC/INFO and IDRISI
  • It can analyze geographical land characteristics
    if map units are appropriately defined.

28
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29
Suitability of Under-utilised Land St. Lucia
Crop Crop Suitability Area Covered (Ha) of Total
Dasheen S2 90 0.75
Papaya S3e/r 10 0.08
Ginger S4 16 1.13
Golden Apple S2 lt1
  • S2 Suitable S3 Moderately Suitable S4
    Marginal
  • e erosion risk r poor rooting conditions

30
Perspectives on making progress with improved
methods to measure sustainable land use
31
SUGGESTIONS FOR BASIC PRINCIPLES TO BE CONSIDERED
  • Information needs should drive data collection
    (only collect data if they will be used)
  • Build on existing systems
  • Awareness among users of utility of the system
  • Institutional strengthening and capacity building
  • Networking and information sharing
  • Development of common data exchange formats and
    protocols

32
SUGGESTIONS FOR BASIC PRINCIPLES TO BE CONSIDERED
  • Common land classification system should be
    established to allow comparisons among countries
  • Update soil and land use information
  • Research to develop methodologies and validate
    models so that they are more relevant to the
    region
  • Development of metadatabases and skills bank
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