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NCSSF
Project A10
Decision Support Systems for Forest Biodiversity: Evaluation of
Current Systems and Future Needs
Key Findings
- Many DSS exist
which can address components of forest biodiversity, but
a single DSS does not exist which is both easily accessible
and can provide a manager with an assessment of the probable
impacts of alternative forest management options on biodiversity.
- Linking DSS
that focus on forest conditions to DSS that focus on wildlife
has the potential to provide managers with a broad range
of biodiversity indicator classes.
- A primary impediment
to wider use of traditional DSS in forest biodiversity decisions
is the lack of widely accepted definitions of the problem;
indicator frameworks from governmental efforts (e.g. Montreal
Process) and non-governmental certification systems (SFI,
FSC) could be incorporated into DSS to address this impediment.
- Few DSS options
exist for assessing the effects of climate, biological agents
(pests, pathogens, invasives), or fire on biodiversity.
- DSS for forest
biodiversity need to be useful in multi-ownership, multi-stakeholder
decision processes characterized by lack of agreement on
either problems and solutions, yet appropriate scale decision-making
institutions are lacking.
- Integration
of basic types of information (biophysical, social, and
economic) by DSS is still limited.
- DSS could help
coordinate decision making at different scales, but few
have explicit capabilities to do so.
- Great progress
has been made in visualization, but few other features for
communication and social negotiation have been integrated
into DSS.
- Few DSS options
are available for small landowners.
- Most DSS which
best meet our needs criteria are still prototypes and not
easily accessible by managers
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