Folders: ROOT > ScienceBase Catalog > LC MAP - Landscape Conservation Management and Analysis Portal > Great Northern Landscape Conservation Cooperative > GNLCC Supported Science Projects > Identification of Fire Refugia in Rocky Mountain Ecosystems of the U.S. and Canada: Development and Application of the Refugium Concept for Biodiversity Conservation over Large Spatial and Temporal Scales > Data > CEC_Protected_Areas ( Show all descendants )
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ROOT _ScienceBase Catalog __LC MAP - Landscape Conservation Management and Analysis Portal ___Great Northern Landscape Conservation Cooperative ____GNLCC Supported Science Projects _____Identification of Fire Refugia in Rocky Mountain Ecosystems of the U.S. and Canada: Development and Application of the Refugium Concept for Biodiversity Conservation over Large Spatial and Temporal Scales ______Data _______CEC_Protected_Areas Filters
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We will develop an approach to identify fire refugia in Rocky Mountain ecosystems of the U.S. and Canada then test the function of refugia for biodiversity conservation under current and future climate/fire scenarios. Our products will be designed to inform decision-making in land/easement acquisition, identification of critical areas for maintaining landscape and process connectivity/permeability, and extension of the temporal context for spatial conservation decision making. The approach will be testable for transferability to other locations and ecosystems.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Conservation NGOs,
Data,
EARTH SCIENCE > LAND SURFACE > LANDSCAPE,
Federal resource managers,
LCC Network Science Catalog,
We will develop an approach to identify fire refugia in Rocky Mountain ecosystems of the U.S. and Canada then test the function of refugia for biodiversity conservation under current and future climate/fire scenarios. Our products will be designed to inform decision-making in land/easement acquisition, identification of critical areas for maintaining landscape and process connectivity/permeability, and extension of the temporal context for spatial conservation decision making. The approach will be testable for transferability to other locations and ecosystems.
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