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2.4 Selection of highly rewarding and high performance indicators
Once the indicators relevant to the province and the forest management unit level were selected, highly rewarding indicators were selected using different filters Figure 2. Indicator selection processes to be
effective as an assessment tool, Gardner 2010, suggested to proceed with four principle selection criteria, namely:
i the espo si e ess of a didate i di ato s to a age e t a tio s; ii the ease ith hi h they can be measured; iii their relevance to changes in the forest condition and biodiversity andor
individual target species; and iv the generality with which they can be applied across similar management systems in other landscapes and regions. The process takes into account all these principles and used them
as the filters at different stages of the selection process Figure 2. Figure 2 shows the hierarchical approach of indicator selection, which ensures highly productive and rewarding final set of indicators. Figure 2
further illustrates that the Indicators need to be designed and selected in such a way that the required technical expertise, field expertise or laboratory expertise are available and the project is economically
feasible cost efficient, technically attainable, and ecologically meaningful.
12 Figure 2: A general framework for selecting highly rewarding indicators for the biodiversity monitoring.
Source: Figure adapted from Gardner, 2010
Highly rewarding inidcators Global pool of indicators
Initial selection filter: indicator viability
Availability of necessary field expertise Availability of necessary laboratory expertise
Availability of proven sampling techniques
Set of candidate indicators
Primary selection filter: cost effectiveness
Indicator responsiveness
Sensitivity to management impactdisturbance
Predictability of response to management impact disturbance
Cost efficiency Cost of data collection and
processing Consistency of measurements
among sites and time
Cost effective indicators of management
Secondary selection filter
Relevance to biodiversity conservation goals
Generality to application
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Ranking of forest biodiversity indicators by experts
Outcome of the ranking exercise
Experts are ranking forest biodiversity indicators
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Selection of indicators relevant to province and FMU level forest biodiversity monitoring system, and selection of highly rewarding high-performance indicators for FMU level forest biodiversity
monitoring
Panel of experts representing academia universities and
research agencies
Panel of experts representing government agencies decision
makers
Panel of experts representing forest management units
FMUs, forestry concessions and other forestry
professionals at implementing level
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Group presentation and discussion: Selection of indicators relevant to province and FMU level forest biodiversity monitoring system, and selection of highly rewarding high-performance
indicators for FMU level forest biodiversity monitoring
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3. Results