Cristin-prosjekt-ID: 415722
Sist endret: 11. februar 2004, 00:00

Cristin-prosjekt-ID: 415722
Sist endret: 11. februar 2004, 00:00
Prosjekt

(GIS BASED) DECISION SUPPORT TECHNIQUES FOR ADVANCED MONITORING AND MANAGEMENT IN AGRICULTURE AND FORESTRY

prosjektleder

Mensur Vegara
ved Institutt for internasjonale miljø- og utviklingsstudier ved Norges miljø- og biovitenskapelige universitet

prosjekteier / koordinerende forskningsansvarlig enhet

  • Institutt for internasjonale miljø- og utviklingsstudier ved Norges miljø- og biovitenskapelige universitet

Klassifisering

Vitenskapsdisipliner

Naturressursforvaltning

Tidsramme

Avsluttet
Start: 1. januar 2002 Slutt: 30. juni 2005

Beskrivelse Beskrivelse

Tittel

(GIS BASED) DECISION SUPPORT TECHNIQUES FOR ADVANCED MONITORING AND MANAGEMENT IN AGRICULTURE AND FORESTRY

Sammendrag

The existing systems of agricultural and forestall management planning are basically organized in a manner that does not imply broader use of geographic information technology (GIT), related geographic information system (GIS) and advanced decision support systems and tools (DSS). If used, it is rather at rudimentary level and not publicly exposed. There is obvious need for screening and evaluating present situation and eventually for establishing a broad framework for implementation and efficient use of GIT, GIS and DSS, but advanced software applications in management planning as well At organisational level, there are two main discourses to be respected. One is represented by privately owned land and production systems. Private sector is under transition processes strongly influenced by still not well-profiled state legislation and other operational (productive) preconditions created by state and local governments and internal and external markets The second discourse relates to stateowned enterprises with regionally established responsibilities and organisational structures. Organisation units collect geographical data and store this data in local archives, dominantly in non-standardised way. Occasionally and at different instances these information structures are appropriately processed and analysed to enable creative and efficient planning and management of natural (agroforestall), technical and human resources. Manipulation of data and their distribution, as well as the results ofassessments and decisions made within operational units are not known well and should be investigated Computers are used to only a limited extent. There is no evidence of institutionally organised use of GIS software nor decision making performed by exploitation of approved sophisticated computer applications such as integrated supporting tools and software systems. Use of expert systems, simulation and optimisation models are scarce or not clearly reported. Also evident is a lack of information onpossible use of computerised forest management and planning systems b

Vitenskapelig sammendrag

The existing systems of agricultural and forestall management planning are basically organized in a manner that does not imply broader use of geographic information technology (GIT), related geographic information system (GIS) and advanced decision support systems and tools (DSS). If used, it is rather at rudimentary level and not publicly exposed. There is obvious need for screening and evaluating present situation and eventually for establishing a broad framework for implementation and efficient use of GIT, GIS and DSS, but advanced software applications in management planning as well At organisational level, there are two main discourses to be respected. One is represented by privately owned land and production systems. Private sector is under transition processes strongly influenced by still not well-profiled state legislation and other operational (productive) preconditions created by state and local governments and internal and external markets The second discourse relates to stateowned enterprises with regionally established responsibilities and organisational structures. Organisation units collect geographical data and store this data in local archives, dominantly in non-standardised way. Occasionally and at different instances these information structures are appropriately processed and analysed to enable creative and efficient planning and management of natural (agroforestall), technical and human resources. Manipulation of data and their distribution, as well as the results ofassessments and decisions made within operational units are not known well and should be investigated Computers are used to only a limited extent. There is no evidence of institutionally organised use of GIS software nor decision making performed by exploitation of approved sophisticated computer applications such as integrated supporting tools and software systems. Use of expert systems, simulation and optimisation models are scarce or not clearly reported. Also evident is a lack of information onpossible use of computerised forest management and planning systems b

Tittel

(GIS BASED) DECISION SUPPORT TECHNIQUES FOR ADVANCED MONITORING AND MANAGEMENT IN AGRICULTURE AND FORESTRY

Sammendrag

The existing systems of agricultural and forestall management planning are basically organized in a manner that does not imply broader use of geographic information technology (GIT), related geographic information system (GIS) and advanced decision support systems and tools (DSS). If used, it is rather at rudimentary level and not publicly exposed. There is obvious need for screening and evaluating present situation and eventually for establishing a broad framework for implementation and efficient use of GIT, GIS and DSS, but advanced software applications in management planning as well At organisational level, there are two main discourses to be respected. One is represented by privately owned land and production systems. Private sector is under transition processes strongly influenced by still not well-profiled state legislation and other operational (productive) preconditions created by state and local governments and internal and external markets The second discourse relates to stateowned enterprises with regionally established responsibilities and organisational structures. Organisation units collect geographical data and store this data in local archives, dominantly in non-standardised way. Occasionally and at different instances these information structures are appropriately processed and analysed to enable creative and efficient planning and management of natural (agroforestall), technical and human resources. Manipulation of data and their distribution, as well as the results ofassessments and decisions made within operational units are not known well and should be investigated Computers are used to only a limited extent. There is no evidence of institutionally organised use of GIS software nor decision making performed by exploitation of approved sophisticated computer applications such as integrated supporting tools and software systems. Use of expert systems, simulation and optimisation models are scarce or not clearly reported. Also evident is a lack of information onpossible use of computerised forest management and planning systems b

Vitenskapelig sammendrag

The existing systems of agricultural and forestall management planning are basically organized in a manner that does not imply broader use of geographic information technology (GIT), related geographic information system (GIS) and advanced decision support systems and tools (DSS). If used, it is rather at rudimentary level and not publicly exposed. There is obvious need for screening and evaluating present situation and eventually for establishing a broad framework for implementation and efficient use of GIT, GIS and DSS, but advanced software applications in management planning as well At organisational level, there are two main discourses to be respected. One is represented by privately owned land and production systems. Private sector is under transition processes strongly influenced by still not well-profiled state legislation and other operational (productive) preconditions created by state and local governments and internal and external markets The second discourse relates to stateowned enterprises with regionally established responsibilities and organisational structures. Organisation units collect geographical data and store this data in local archives, dominantly in non-standardised way. Occasionally and at different instances these information structures are appropriately processed and analysed to enable creative and efficient planning and management of natural (agroforestall), technical and human resources. Manipulation of data and their distribution, as well as the results ofassessments and decisions made within operational units are not known well and should be investigated Computers are used to only a limited extent. There is no evidence of institutionally organised use of GIS software nor decision making performed by exploitation of approved sophisticated computer applications such as integrated supporting tools and software systems. Use of expert systems, simulation and optimisation models are scarce or not clearly reported. Also evident is a lack of information onpossible use of computerised forest management and planning systems b

prosjektdeltakere

prosjektleder
Aktiv cristin-person

Mensur Vegara

  • Tilknyttet:
    Prosjektleder
    ved Institutt for internasjonale miljø- og utviklingsstudier ved Norges miljø- og biovitenskapelige universitet
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