Landscape Ecology
Landscape
level analyses that incorporate new approaches in modeling, scaling,
and uncertainty analyses are required to incorporate science, land
use, policy options, and regulations into assessments of landscape
function and productivity, and to design landscapes to accomplish
specific functions and deliver specific outputs.
This
work focuses on new approaches of modeling, scaling, and uncertainty
analysis to address natural resource management issues at large
scales (e.g., multiple watersheds, landscape, region). An effective
approach to large-scale assessment is necessarily model-based, applying
models of different purposes and scales. The premise of this approach
is that issues like forest sustainability at large scales can be
adequately addressed only with interdisciplinary efforts that incorporate
science, land use, policy options, and government regulations into
analyses and assessments.
There
are three principal areas of research:
- Spatial
modeling (LEEMATH)
- Syntheses
& Metrics
- Uncertainty
Analyses
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