Transcript Slide 1
Optimization of customary land landuse DR HJH. SHAHIDAH MOHD ARIFF GEO-LAW Research Group UNIVERSITI TEKNOLOGI MALAYSIA Customary land • denotes the existence of ethnic and indigenous groups/clans: Minangkabaus, Dayaks • predominantly rural, agriculture: food & subsistence • • • • landownership pattern : matrilineal , multiple owners land tenure system: complex, yet intriguing uneconomic size: less than 0.5 hectare abandoned, underutilised and/or idle : migration, aged owners, insufficient labor, water problem • uneconomic landuse : rubber, paddy, orchard, fishpond The need to optimise customary land landuse As more areas are densely populated, • land for development becoming scarce • development area become confined • spatial planning becomes essential • interests of all stakeholders need to be reconciled to optimise, requires • policy making: where land-use scenarios may act as reference points • decision making: where optimal configurations (costs and effects) becomes valuable input optimisation • Strictly means: -finding the best solution to a given set of problems, or -finding the best strategy to meet a given set of objectives • In practice: optimisation involves identifying the best solutions within a given set of constraints optimisation • Optimisation: to determine the best strategy through a process of identifying a possible solution, testing it, appraising it and then seeking improvements, where • Improvements: either to increase performance or to overcome barriers How optimisation works? • It involves maximising a quantified objective function within a given scenario and subject to a given set of targets and constraints, by using a given range of land use Indication: involves too many parameters, therefore data and models are required Objectives need to be defined Land use objectives : to generate income (per region, per farmer, per labour day) to increase food production to increase labor availability to intensify agricultural production (food and cash crops) to increase efficiency of resource use (water, pesticides, fertilisers) to avoid erosion to avoid nitrate leaching out of agriculture systems to avoid pollution by pesticides to create employment What are the consequences for the objectives we are dealing with and for land use and land use allocation if: • different orientations of agricultural production are considered? • bio-physical and socio-economic constraints change? • preferences for conflicting objectives change? indication: Need for scenario analysis/approach Scenario approach A scenario approach serves • to investigate combinations of conditions (eg. population growth and demand for agricultural produce) • to evaluate the preferences for objectives A game of “what if ………” • • • • • agro-ecological conditions (bio-physical characteristics) societal characteristics (cultural, religious, and political) economic environment land issues multiple strategic objectives • Bio-physical environment: climate, soils, hydrology • Societal characteristics: economic nature, culture nature, determinant of current land use and land use issues, short- and long-term objectives with respect to land use • Economic characteristics: economic growth rate, per capita income, labor availability for agriculture and employment opportunities methods • • • • Socio-economic analysis Environmental sciences Environmental engineering Information technology • Long-term policy analysis • Decision support system • Integrated and sustainable development Main components databases and GIS • • • • land details, land ownership data dynamic land use change data socio-economic data water resources data • models that describe the area • land use change model • water resources model Land use change model • land use classes • properties of spatial units (land size, land use, product, income, employment, water consumption) • a matrix of a priori transition probabilites • aset of rules to modify the a priori transition • other rules based on any attribute eg soil, geology, population, climatic variables, infrastructure Methods and tools for long term policy analysis and strategic decision support • multi-sectoral integration of quantitative and qualitative analysis • combined quantitative systems engineering using numerical simulation models • methods of environmental, socio-economic and policy impact assessment (using rule-based expert systems technology and interactive decision support methods) Water resources modeling • include both quantitative and qualitative aspects (water availability and flow, demand and supply of water, water quality) • provides the framework for policy scenarios • enables different development strategies to be explored • enables the study of the consequences and implications of demographic, socio-economic and technological development • enables the understanding of their interaction towards long-term sustainability Use of internet • Is required where policy making and impact assessment apply the participatory approach which need informed participants, actors, stakeholders • participants, actors, stakeholders need to share information and be informed to empower them in the decision making process • debate (if any), would focus on policy issues, objectives and values rather than the physical-based data and information • Participatory approach could create awareness and thrust contributing to the development of a civic society results • actors, stakeholders, users can participate directly in decision making and policy analysis • multiple criteria and conflicting objectives can be considered • numerical simulation and optimisation tools can be integrated with socio-economic elements • rule-based expert system technology can be used for qualitative analysis conclusion • Customary land may be small in total area, but is as important as any other non-customary land when the concern is food security and poverty eradication • The use of models and participatory approach is appropriate when customary land are small and spatially distributed amongst rapid land use changes and where different land use objectives are to match different constraints at different locations. Thank you Terima kasih