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NCSSF
Project A10
Decision Support Systems for Forest Biodiversity: Evaluation of
Current Systems and Future Needs
Project Report
Abstract
The primary
objectives of this review were to (1) help forest managers find
decision support system (DSS) which meet their needs, and (2) help
DSS designers and funders identify unmet DSS needs in the area of
forest biodiversity. Thirty systems met our screening criteria from
a pool of over 100 tools generated from previous reviews and interviews
with DSS experts. These systems were reviewed against three themes:
(1) classes of forest biodiversity indicators used, (2) major forest
threats and influences addressed, and (3) abilities to assist with
complex political decisions.
Results
show only one prototype system appears to address the full suite
of biodiversity indicator classes represented in the Montreal Process
Criteria and Indicators. A number of forest modeling tools evaluate
the influences of silviculture on forest ecosystems and some deal
with fire effects and biological threats on forest ecosystems, but
these systems do not generally deal with related biodiversity effects,
and only one system attempts to integrate the influence of climate
change. Very few DSS appear to have capabilities explicitly designed
to address the multi-faceted, political nature of many of the larger
forest biodiversity decisions. Comprehensive systems that address
all three themes are rare indeed; the few that exist are more prototypes
than easily transferrable systems.
A number
of areas for productive future development are identified, and the
need for systems that can serve collaborative processes involving
diverse stakeholders is emphasized. These results have been packaged
for users in a number of ways.To
help forest managers find systems which might best meet their needs,
the project has provided a searchable online database of individual
DSS descriptions (http://ncseonline.org/ncssf/dss/). For DSS users,
system designers, and funders, we have provided a synthesis of the
strengths and weaknesses of available DSS for forest biodiversity
analysis in this summary report, as well as in a poster, a PowerPoint
presentation, a journal article, and the project website.
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