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“ Establishment of a Land Resources Information System for the evaluation of scenarios of sustainable agriculture land use “ Regional Project FAO - GCP/RLA/126/JPN.

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Presentation on theme: "“ Establishment of a Land Resources Information System for the evaluation of scenarios of sustainable agriculture land use “ Regional Project FAO - GCP/RLA/126/JPN."— Presentation transcript:

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2 “ Establishment of a Land Resources Information System for the evaluation of scenarios of sustainable agriculture land use “ Regional Project FAO - GCP/RLA/126/JPN “Land and water Information for Sustainable Agriculture Development”

3 INTRODUCTION METODOLOGY IMPLEMENTATION OF LRISPLAN IMPLEMENTATION OF LRISPLAN Regional Project FAO - GCP/RLA/126/JPN “Land and water Information for Sustainable Agriculture Development” THEMES

4 INTRODUCTION THE PROJECT OBJECTIVES ARE: IMPROVE INSTITUTIONAL CAPACITY IN THE PARTICIPATING COUNTRIES FOR NATURAL RESOURCES CONSERVATION; CARRY OUT AN AGROECOLOGICAL - ECONOMICAL LAND PRODUCTIVITY POTENTIAL EVALUATION AND PROVIDE INFORMATION FOR LAND USE PLANING; STRENGTHEN TECHNICAL CAPACITY IN NATIONAL INSTITUTIONS IN INFORMATION MANAGEMENT.

5 ddddsds METHODOLOGY FRAMEWORK INTRODUCTION BIOPHYSICAL FACTORS SOCIOECONOMIC FACTORS Socio cultural factors Economic Institutional Factors TERRITORIAL SYSTEM SOIL WATER VEGETATION OTHERS CLIMA NATURAL INFLUENCES SITE POPULATION CARACTERISTICS ACCESS TO SERVICES, INFRASTRUCTURE, CREDITS, ETC HUMAN INFLUENCES USE POTENTIAL CONDITION ACTUAL SITUATION PRODUCTION SYSTEMS POLITICAL INSTITUTIONAL

6 ddddsds METHODOLOGICAL FRAMEWORK ( - ) ( + ) SITUACION ACTUAL PRODUCTIVITY REDUCTION PRODUCTIVITY IINCREASE POTENTIAL DEGRADATION SITUATION ACTUAL INTRODUCTION

7 ddddsds METHODOLOGY DATA/INFORMATION Start with access to data/information, meaning collection, selection, generation of data and information according to the objectives of the System and storage of the data/ information in GIS data bases

8 METHODOLOGY DATA/INFORMATION CREATE SPATIAL ANALYSIS UNITS Stratification of the physical space and population, using the variables defined according to the study objectives. This process of spatialization of the information is mainly based on the concept of Ecologic Economic Zoning developed by FAO (1997) and adapted to local conditions and needs by the project. The process is called Definition of Analysis Units

9 METHODOLOGY DATA/INFORMATION CREATE SPATIAL ANALYSIS UNITS EVALUATION OF LAND SUITABILITY by UNIT Following delineation and characterisation of the analysis units bio-physical suitability and socio- econonomic viability of each unit are determined using the FAO methodology of land evaluation (1976, 1994), generating a matrix of suitabilities and related information for each of the selected land utilization types in all the analysis units.

10 METHODOLOGY DATA/INFORMATION CREATE SPATIAL ANALYSIS UNITS EVALUATION OF LAND SUITABILITY BY UNIT GENERATING SCENARIOS Upon determination of large number of land use types arranged in a suitability matrix, it is possible to generate various scenarios according to predetermined objectives. Scenarios are generated on the basis of procedures which introduce changes in the initial suitability matrix generating new matrices in an iterative process which produce a process of optimization of use according to the set criteria and restrictions

11 METHODOLOGY DATA/INFORMATION CREATE SPATIAL ANALYSIS UNITS EVALUATION OF LAND SUITABILITY BY UNIT GENERATING SCENARIOS PRESENTATION OF RESULTS Finally all the results from the analysis are organized in integrated information base in a GIS. The information base will be used to support the negociation process for land use decisions. In this way an LRISPLAN is created with the final objective of providing information to support the land use planning process NEGOCIATION SCENARIOS

12 DATA/MAPS (I) DATA/MAP INPUT COMPILATION, SELECTION & GENERATION OF ADDITIONAL DATA BIO-PHYSICAL VARIABLES AGRO-ECOLOGICAL UNITS AGRO-ECOLOGICAL ZONING DIGITALIZATION (II) METHODOLOGY

13 AGRO-ECOLOGICAL UNITS

14 DATA/MAPS (I) DATA INPUT COMPILATION, SELECTION & GENERATION OF COMPLEMENTARY DATA SOCIO-ECONOMIC VARIABLES SOCIO-ECONOMIC ZONING UNITS SOCIO-ECONOMIC ZONING DIGITALIZATION (II) METHODOLOGY

15 SOCIO-ECONOMIC UNITS Agricultural Enterprises Forestry Enterprises Natural Persons > 100 ha. Natural Persons < 100 ha.

16 UNIDADES ECOLOGICAS ECONOMICAS Unidades de Análisis DATA/MAPS (I) DATA INPUT COMPILATION, SELECTION & GENERATION OF COMPLEMENTARY DATA ECOLOGIC- ECONOMIC UNITS (Analysis Units) BIO-PHYSICAL VARIABLES AGRO-ECOLOGICAL MAP UNITS AGRO-ECOLOGICAL ZONING SOCIO-ECONOMIC VARIABLES SOCIO-ECONOMIC MAP UNITS SOCIO-ECONOMIC ZONING DIGITALIZATION (II) METHODOLOGY

17 UNIDADES DE ANALISIS ECOLOGICAS ECONOMICAS Areas without Poverty Areas with Poverty Well Drained Moderately Drained Poorly Drained

18 METHODOLOGY LAND EVALUATION (III) ANALYSIS UNITS LAND UNITS CHARACTERISTICS LAND UTILIZATION TYPE REQUIREMENTS LAND UTILIZATION TYPES CLASSIFICATION (QUALITATIVE) MATCHING CHARACTERISTICS / REQUIREMENTS

19 METODOLOGIA

20 METHODOLOGY LAND EVALUATION (III) CHANGE IN THE CHARACTERISTICS OF SOME UNITS SUITABILITY MATRIX ANALYSIS UNITS LAND UNITS CARACTERISTICS CLASSIFICATION (QUALITATIVE) LAND UTILIZATION TYPE REQUIREMENTS LAND UTILIZATION TYPES MATCHING CHARACTERISTICS / REQUIEREMENTS

21 METHODOLOGY LAND EVALUATION (III) A1A2 A3 A2A1 A2A1NA3N A1NNA3 NA1A2 NA1A2A1A2 Units Land Use Types 1234512345 A B C D E

22 METHODOLOGY SUITABLE MODERATELY SUITABLE MARGINALLY SUITABLE NOT SUITABLE LAND SUITABILITY SUITABILITY ASSESSMENT TRADITIONAL WHEAT LOW INPUTS SUITABILITY ASSESSMENT WHEAT UNDER MINIMUM TILLAGE

23 METHODOLOGY MODERATELY SUITABLE MARGINALLY SUITABLE SUITABLE NOT SUITABLE LAND SUITABILITY WHEAT WITH HIGH INPUTS WITH SOCIO-ECONOMIC INFORMATION

24 METHODOLOGY GENERATION OF SCENARIOS (IV) EVALUACION DE TIERRAS (III) GENERATION OF NEW SUITABILITY MATRICES LAND EVALUATION (III) Change in the Characteristics of the AU

25 METHODOLOGY GENERATION OF NEW SUITABILITY MATRICES Change in supply of some UBA ( UEE ) Matrix in the Actual Situation 0 A3A2 A3 A2 A1 A2 A1 A2 N A3 N NN N N N N N A2 NNN N A3 A1 A3 A2NNA3 A2N NN A3 A2 A1A2 A3 A2A1 A2A1NA3N A1NNA3 NA1A2 NA1A2A1A2 Units 1 2 3 4 5 Land Use Types 5 4 3 2 1 NEW SUITABILITY EVALUATION GENERATION OF NEW MATRICES A1A2 A3 A2A1 A2A1NA3N A1NNA3 NA1A2 NA1A2A1A2 UNITS Land Use typess MATRICES WITH CHANGES IN THE AS 1 2 3 4

26 METHODOLOGY GENERATING SCENARIOS (IV) EVALUACION DE TIERRAS (III) GENERATE NEW SUITABILITY MATRICES LAND EVALUATION (III) Change in the Characteristics of the AU CRITERIA AND METHODS CREATION OF SCENARIOS

27 METHODOLOGY GENERATING SCENARIOS CRITERIA AND METHODS CREATION OF SCENARIOS MATRICES  BY SELECTING BEST SUITABILITY (A1 o Ideal)  BY OPTIMIZATION  BY DIRECT SELECTION OF USES  BY MULTICRITERIA EVALUATION Discrete  OTHER METHOD Usos Unidades

28 METHODOLOGY LAND USE SCENARIOS PROTECTED FOREST FOREST PLANTATIONS WHEAT MINIMUM TILLAGE EXTENSIVE USE WITH PROTECTION CHERRY IRRIGATED VINEYARD

29 NEGOCIATION OF ESCENARIOS CREATION OF ADVISORY SYSTEM (V) PRESENTATION OF RESULTS METHODOLOGY GENERATING SCENARIOS (IV) EVALUACION DE TIERRAS (III) GENERATE NEW SUITABILITY MATRICES LAND EVALUATION (III) Change in the Characteristics of the AU CRITERIA AND METHODS CREATION OF SCENARIOS

30 METHODOLOGY PRESENTATION OF RESULTS

31 METHODOLOGY NEGOCIATION OF SCENARIOS Goals Objectives Criteria

32 IMPLEMENTATION Automatization + - Implementation - + Interface PHASE I PHASE II PHASE III IMPLEMENTATION OF LRISPLAN METODOLOGY IN AN INFORMATION SYSTEM INFORMATION CREATION OF SPATIAL ANALYSIS UNITS OVERALL METHODOLOGY EVALUATION OF SUITABILITY BY UNIT GENERATING SCENARIOS PRESENTATION OF RESULTS NEGOCIATION SCENARIOS

33 IMPLEMENTATION LRISPLAN Reports Algorithms Models Events Administration Information G I S Data Processes Display Graphics Interface Management Formating User input / output User input / output DATA BASE Transfer

34 IMPLEMENTATION ArcView Módulo de Análsis Espacial S A C Output G I S Data Bases Data Bases S A B D Land Productivity GRIETA Optimized Scenarios SOLVER Land Evaluation ALES Scenarios Accepted by consensus Expert Choice Input Socioeconomic Variables RADATAM Monitoring TeleSAT

35 IMPLEMENTATION


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