Funding supports a multiyear initiative entitled Crown of the Continent Landscapes Analysis/Ecological Indicators Project. The work is designed to focus on issues on transboundary data integration and synthesis, habitatconnectivity analysis for grizzly bears (Ursus arctos) and other key wildlife species, and outreach programs aimed at disseminating knowledge, information products, and geospatial tools arising out of this work to the extensive network of Crown Managers Partnership (CMP) and GNLCC collaborators.
FY2010Objectives:The monitoring strategy will focus on the development and acquisition of geospatial datasets from remote sensing and other GIS sources designed to track changes in habitats and human footprint consistently and reliably across the CCE.
FY2011Objectives: Conduct habitat connectivity analysis for grizzly bear, Canada lynx, bull trout and westslope cutthroat trout at the scale of the CCE Conduct a sensitivity analysis that reveals the impacts of errors/ uncertainty in basemap geospatial products on final results Engage partners and networks in order to communicate methods, geospatial tools and results across the multiple geographic jurisdictions of the Crown of the Continent Ecosystem and the GNLCC geographic region
FY2012Objectives: Develop CCE-wide occupancy and connectivity models for grizzly bears, wolverines, cutthroat trout, and bull trout. In support of Objective 1, we propose to leverage funding for the Landscape Analysis work in order to test the interface of our landscape-level data metrics with fine-scale species and habitat data at the sub-regional scale, in order to provide an integrated (both fine- and coarse-scale) assessment of resource vulnerability to landscape stressors. Perform sensitivity analyses designed to reveal the impacts of base-map errors on the derived knowledge products produced in Objective 1. Communicate project outcomes within the GNLCC. The Landscape Analysis/Ecological Indicators Project will be featured at the 2013 Annual Forum of the Crown Mangers Partnership, providing an opportunity for education and discussion with managers and public stakeholders.
FY2013Objectives: Utilize the CMP Landscape Analysis metrics to develop CCE-wide models of occupancy and abundance for targeted transboundary conservation species; including wolverine, bull trout and westslope cutthroat trout. Utilize the Landscape Analysis metrics as a framework to develop decision support tools/systems for Aquatic Invasive Species and evaluate effectiveness of AIS management Conduct broad-scale landscape trend monitoring Communicate project outcomes within and beyond the GNLCC
FY2014Objectives:1. Develop a Human Modification Index (HMI) for the CCE which will serve as a surrogate for Landscape Integrity and quantify the level of human use on the landscape.2. Identifying focal species for functional connectivity analysis across the CCE3. Continue on-going trend analysis at the scale of the CCE.4. Develop a cohesive Transboundary Management Plan for monitoring, prevention and rapid response of Aquatic Invasive Species across the Crown, with phased implementation via pilots.5. Develop phased implementation of a suite of on-the-ground climate change adaptation strategies at nested scales across the CCE.6. Communicate project outcomes within and beyond the GNLCC.
FY2015To coordinate and implement separate jurisdictional actions that align to contribute to landscape-scale outcomes. Our Climate Change Adaptation Targets include native salmonids, aquatic invasive species (AIS), terrestrial invasive weeds and whitebark pine.The CMP is using GNLCC-supported science and Rocky Mountain Partner Forum (RMPF) decision-support tools to identify and prioritize climate change adaptation strategies and tactics related to our conservation targets, to coordinate implementation of these strategies at a landscape scale, and to foster collaborative le
