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The goal of this research is to improve the
implementation of systematic conservation planning
while maintaining quality. A theoretical framework
for engaged conservation planning and management
(ECPM) is provided. Under ECPM, scientists,
stakeholders, and citizen scientists would be able to
engage in reciprocal knowledge-sharing, thereby
building institutional capacity to achieve
socio-ecological resilience. ECPM would increase
participation by utilizing a novel blend of
geospatial technology, decision support systems, and
the emerging culture of Web 2.0. But broad public
release of conservation plan maps has traditionally
been controversial. These maps have created
much conflict, or in many cases, been held back,
resulting in a lack of knowledge-sharing. A
hypothesis is developed: if the uncertainty involved
with implementation of conservation plans was
quantified and mapped, this would decrease the
volatility of the maps and improve implementation. A
conservation assessment is performed and a method for
quantifying and mapping this implementation
uncertainty is developed, applied, and evaluated.
The findings provide initial support for the hypothesis.
implementation of systematic conservation planning
while maintaining quality. A theoretical framework
for engaged conservation planning and management
(ECPM) is provided. Under ECPM, scientists,
stakeholders, and citizen scientists would be able to
engage in reciprocal knowledge-sharing, thereby
building institutional capacity to achieve
socio-ecological resilience. ECPM would increase
participation by utilizing a novel blend of
geospatial technology, decision support systems, and
the emerging culture of Web 2.0. But broad public
release of conservation plan maps has traditionally
been controversial. These maps have created
much conflict, or in many cases, been held back,
resulting in a lack of knowledge-sharing. A
hypothesis is developed: if the uncertainty involved
with implementation of conservation plans was
quantified and mapped, this would decrease the
volatility of the maps and improve implementation. A
conservation assessment is performed and a method for
quantifying and mapping this implementation
uncertainty is developed, applied, and evaluated.
The findings provide initial support for the hypothesis.