CGSpaceA Repository of Agricultural Research Outputs
    View Item 
    •   CGSpace Home
    • Center for International Forestry Research (CIFOR)
    • CIFOR publications
    • View Item
       
    • CGSpace Home
    • Center for International Forestry Research (CIFOR)
    • CIFOR publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A modeling approach to collaborative forest management

    Thumbnail
    Authors
    Purnomo, H.
    Date Issued
    2003
    Language
    en
    Type
    Book
    Metadata
    Show full item record
    Share
    
    Citation
    Purnomo, H. 2003. A modeling approach to collaborative forest management . Bogor, Indonesia, Bogor Agricultural University. x, 218p.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/18757
    External link to download this item: https://www.cifor.org/knowledge/publication/1284
    Abstract/Description
    Sustainable development strategy urges that forest management be carried out in a participatory way. The importance of communities’ participation has been written into Indonesian Law no. 41 on Forestry (1999). However, how this law can be implemented in areas already allocated to a concession holder is still unclear. The state-owned company, Inhutani II Sub Unit Malinau, has managed the lowland forest in Malinau District, East Kalimantan for over 10 years. Forest-dependent communities located in the managed area were Long Seturan, Long Loreh and Langap villages. The company managed the area based on plans approved by the governments. They established permanent sample plots for measuring the stand growth and yield data in their area, and were asked to improve the well-being of local communities. However, the schemes did not give the company sufficient space to manage the area creatively, or provide a systematic way to involve the communities in the management of the forest. This research was aimed at seeking scenarios of sustainable forest management (SFM) that addressed the above limitations. Two research hypotheses were proposed: 1. Local forest stakeholders can define their own SFM Criteria and Indicators (C&I) for specific sites where they live, or that concerns them; 2. Collaborative management of forests by all relevant stakeholders will achieve better forest management outcomes. An artificial society of primary forest actors was built using a multi-agent system approach, used for developing scenarios to increase the sustainability of forest management. Indicators of forest cover and standing stock, communities’ incomes, company revenue and taxes paid to local and central governments measured the sustainability. The research results showed that local communities that lived in the area of Inhutani II were able to define C&I of SFM. The local C&I are not different from the generic or scientific C&I of SFM. However, those C&I are formulated with different structures and argumentations. The developed knowledge-based system found a way to harmonize this knowledge. Collaboration between concessionaires and the communities appeared to be the most suitable alternative for SFM, in particular for improving communities’ incomes without decreasing the quality of the forest. An appropriate decentralization policy is a condition for implementing collaborative forest management.
    AGROVOC Keywords
    forest management; models; simulation models; participation; concession (land); community forestry; theses
    Subjects
    FOREST GOVERNANCE AND COMMUNITY FORESTRY;
    Countries
    Indonesia
    Regions
    South-eastern Asia
    Collections
    • CIFOR publications [7743]

    Show Statistical Information


    AboutPrivacy StatementSend Feedback
     

    My Account

    LoginRegister

    Browse

    All of CGSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subjectThis CollectionBy Issue DateAuthorsTitlesBy AGROVOC keywordBy ILRI subjectBy RegionBy CountryBy SubregionBy River basinBy Output typeBy CIP subjectBy CGIAR System subjectBy Alliance Bioversity–CIAT subject

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    AboutPrivacy StatementSend Feedback