*DSS: Decision Support System Figure 3. Representation of the Participatory Ecological Monitoring Scenario Participatory Ecological Monitoring in High.

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*DSS: Decision Support System Figure 3. Representation of the Participatory Ecological Monitoring Scenario Participatory Ecological Monitoring in High Conservation Value Forest Ecosystems in South Sumatra Conclusions The main output is the development of a decision support system for the sustainable management of high conservation value forest ecosystems. Intended impacts are improved understanding among stakeholders of the main elements of the system: how to carry out forest ecosystem planning; how to tailor activities to the landscape; capacity building; increased collaboration, trust and networking; and relationship building (learning about each other's constraints). Impacts are identifiable both through individual actions and collective actions. (A) (B) (C) Figure 2. A) Forest and Land fire hotspots; B) Ground truthing for fire monitoring; and C) Data analysis by stakeholders Introduction In order to ensure the sustainability of the structures and functions of forest ecosystems, a reliable monitoring system is indispensable. The current systems for monitoring and evaluating forest ecosystem status and trends in South Sumatra are inadequate and inconsistent. Participatory Ecological Monitoring [PEM] is an initiative that adopts a participatory approach to analyzing potential sources of interference to forest ecosystems and the probability of disturbances to biodiversity, as well as social and economic vulnerability. PEM refers to the systematic steps corresponding to the local context. In particular, PEM uses a participatory decision-making approach to analyze the social and economic aspects and comparative vulnerability of each forest ecosystem type in terms of interference and possible "causes and pressure" to forest biodiversity. Lessons Learned from BIOCLIME describe this scenario in high conservation value forest ecosystems in South Sumatra. Methods DSS Collabor ation Capacity building Opportunites: Filling gaps Influencing decision Long-term impact Enabling conditions: Policies Capacity building Guidelines/data collection and analysis protocols Requirements: Collective action protocols Data sharing protocols (Data Network) Database management protocols Accountability References Hassenforder, E., Smajgl, A. and Wart, J Towards understanding participatory processes: Framework, application and results. Journal of Environmental Management 157 (84-95) Results and Discussion Figure 1. Participatory Ecological Monitoring Scenario The key lessons to be drawn from this initiative are the need for raised awareness among all stakeholders and high levels of participation in the design of PEM. In its methodology, PEM involved at least 6 factors: (1) improving participants’ understanding of the system; (2) forestry offices in South Sumatra initiating the process; (3) a team comprising key stakeholders; (4) participation retention of about 50–80% for those participants attending the whole process; (5) a selection process involving participants in concept design, method selection, analysis of results, and communication of results; (6) participatory methods and tools being categorized either as computerized models (remote sensing/geographic information systems, and modelling) or non–computerized models. Contact:s Berthold Haasler Jl. Jenderal Sudirman KM 3,5 No PO BOX 1229, Palembang, Sumatera Selatan Mobile: BIODIVERSITY AND CLIMATE CHANGE PROJECT (BIOCLIME) Jl. Jenderal Sudirman KM 3,5 No PO BOX 1229, Palembang, Sumatera Selatan Website: Telpon/Facsimile: Mohammad Sidiq Mobile: iz.de Hendi Sumantri Mobile: