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• W2263129043 abstract "There is an increasing demand for multiple objectives from forest management worldwide and this is particularly challenging for tropical forests due to their diverse composition, structure and a wide range of stakeholder expectations and requirements. In Papua New Guinea (PNG) forest management is generally considered to be unsustainable and commercial harvesting leaves behind large forest areas to degrade overtime with little attention paid to their future management. There were four objectives of this study. The first was to assess the current condition and future production potential of cutover forests in PNG. The second objective focussed on developing scenario analyses and evaluation tools for assisting decision making in community-based management of cutover native forests. In the third objective, the study tested the tools developed under the second objective in two case study sites where extensive harvesting of primary forest had taken place in the past. The fourth objective of this study was to develop a conceptual framework for community-based management of cutover native forests in PNG. The methodology used in this study was a combination of qualitative analyses of community interests and expectations in small-scale harvesting and quantitative analyses of permanent sample plots (PSPs), forest resources and cash-flow associated with different management scenarios in two case study sites. Analyses of PSPs in cutover forests showed that there was a gradual increase in residual stand basal area (BA) and timber volume over time and these forests generally showed a high degree of resilience following harvesting. In the two case study sites, timber volume for the residual stand and aboveground forest carbon (C) in the Yalu community forest were estimated at 12.7 m3 ha-1 ± 4.5 (SD) and 149.9 MgC ha-1 ± 37.5 (SD) respectively. In the Gabensis community forest, timber volume and forest C were estimated at 15.2 m3 ha-1 ± 2.8 (SD) and 162.1 MgC ha-1 ± 50.6 (SD) respectively. Analyses of field interviews in communities in the two case study sites showed that community sawmill, local processing, log export and carbon trade were the main options preferred by the communities for the future management of their cutover forests. Scenario analyses using a planning tool showed that a management regime with a short cutting cycle (10-20 years), a reduced cut proportion (50%) at the initial harvest and removing a proportion of only commercial timber species was sustainable. Longer cutting cycles have lower short-term yields but potentially higher yields in the long term because the forest has a greater time to recover to higher volumes for later cutting cycles. This study developed decision analyses models for community-based management of cutover forest in PNG. With the data available, the models were tested in the Yalu case study site and depending on the input variables in the model, the expected monetary value (EMV) returned was determined by the related cash flow associated with each scenario. For example, sensitivity analysis of the EMV showed that in a local processing scenario, the annual sawn timber production and sawn timber price in the overseas certified market had the largest impact on the EMV. An integrated conceptual framework for community-based forest management (CBFM) was developed in this study. The framework is appropriate for application in CBFM throughout PNG. This study concludes that the scenario evaluation and analyses tools developed are a new approach in tropical forest management and its application is justified in the context of CBFM because of the complexity and uncertainty affecting tropical forests and their management. A new policy direction in community forestry is therefore, necessary for the application of these systems in CBFM and utilisation in PNG." @default.
• W2263129043 created "2016-06-24" @default.
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• W2263129043 date "2011-01-01" @default.
• W2263129043 modified "2023-09-27" @default.
• W2263129043 title "Scenarios for community-based management of cutover forest in Papua New Guinea" @default.
• W2263129043 hasPublicationYear "2011" @default.
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