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This U.S. Geological Survey (USGS) data release represents geospatial data that are the beach mouse presence outputs from the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mouse presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered sub-species...
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Purpose: The 2023 Landscape Conservation Collaborative Inventory for the Pacific Northwest presents a consolidated overview of landscape conservation collaboratives across British Columbia, Washington, and Oregon. This database delineates collaborative efforts, their objectives, and key stakeholders. The primary objective is to promote transparency, foster collaboration, and amplify the impact of conservation initiatives, thereby contributing to the responsible management and preservation of the Pacific Northwest’s natural resources and ecosystems. Designed for individuals involved in organizing, coordinating, or participating in landscape conservation initiatives within the Pacific Northwest, this inventory is...
This U.S. Geological Survey (USGS) data release represents geospatial data that are the beach mouse presence outputs from the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mouse presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered sub-species...
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Linkage Networks’ Synthesis Analysis The focal species and landscape integrity approaches identify habitat concentration areas (HCAs) and core habitats, respectively, and areas of the landscape important for connecting them. As in the Statewide Analysis and the Analysis of the Columbia Plateau Ecoregion (WHCWG, 2010, 2012), we consider that a linkage network consists of the combination of all the HCAs and the linkages modeled for a particular focal species, or core areas and modeled linkages for landscape integrity (WHCWG, 2010). These networks are useful individually, informing decisions pertaining to maintaining and restoring connectivity for the particular focal species (or species considered similar enough in...
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Formed in 2007, the Washington Wildlife Habitat Connectivity Working Group (WWHCWG) is an open collaborative science-based effort to produce tools and analyses that identify opportunities and priorities to provide habitat connectivity in Washington and surrounding habitats (https://waconnected.org). The WWHCWG began with a Statewide Habitat Connectivity Analysis, which highlighted several regions of the state that would benefit from finer-scale analyses. The group has since conducted analyses across many of those regions. The US Fish and Wildlife Service provided funding to develop habitat connectivity models for one of the remaining regions–Washington’s Cascades to Coast region. The goal of this project was to...
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The Washington Connected Landscapes Project: Cascades to Coast Analysis produced the following geospatial data layers for landscape integrity: (1) a raster dataset depicting habitat suitability, (2) a vector dataset of core habitat depicting areas of high concentrations of suitable habitat, (3) a raster dataset depicting the landscape’s resistance to movement, (4) a raster dataset of cost-weighted distance depicting the permeability of the landscape for movement between core habitat areas, (5) a vector dataset depicting the least-cost paths between core habitat areas, and (6) a raster dataset depicting the least-cost corridors between core habitat areas. The data layers are provided in multiple file formats that...
This U.S. Geological Survey (USGS) data release represents tabular data that were used to develop the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mice presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered subspecies of beach mice (Peromyscus...
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The Washington Connected Landscapes Project: Cascades to Coast Analysis produced the following geospatial data layers for western gray squirrel (Sciurus griseus): (1) a raster dataset depicting habitat suitability, (2) a vector dataset of core habitat depicting areas of high concentrations of suitable habitat, (3) a raster dataset depicting the landscape’s resistance to movement, (4) a raster dataset of cost-weighted distance depicting the permeability of the landscape for movement between core habitat areas, (5) a vector dataset depicting the least-cost paths between core habitat areas, and (6) a raster dataset depicting the least-cost corridors between core habitat areas. The data layers are provided in multiple...
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The Southeast Conservation Blueprint is a map of important areas for conservation and restoration across the Southeast and Caribbean. The Blueprint is the primary product of the Southeast Conservation Adaptation Strategy (SECAS). Through SECAS, diverse partners are working together to design and achieve a connected network of lands and waters that supports thriving fish and wildlife populations and improved quality of life for people.
This U.S. Geological Survey (USGS) data release represents geospatial data that are the beach mouse presence outputs from the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mouse presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered sub-species...
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The Washington Connected Landscapes Project: Cascades to Coast Analysis produced the following geospatial data layers for fisher (Pekania pennanti): (1) a raster dataset depicting habitat suitability, (2) a vector dataset of core habitat depicting areas of high concentrations of suitable habitat, (3) a raster dataset depicting the landscape’s resistance to movement, (4) a raster dataset of cost-weighted distance depicting the permeability of the landscape for movement between core habitat areas, (5) a vector dataset depicting the least-cost paths between core habitat areas, and (6) a raster dataset depicting the least-cost corridors between core habitat areas. The data layers are provided in multiple file formats...
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The goal of landscape conservation is to align conservation strategies across jurisdictions and broader geographies than any single organization has the capacity to manage. A landscape approach is critical to meet the emerging needs of state, federal, tribal, and private partners. There are several landscape conservation efforts in the Pacific Northwest in various stages. These efforts have different perspectives and practices related to stakeholder engagement, governance, landscape science, decision support tools and implementation strategies. There is tremendous value in sharing experiences, approaches, successes, and challenges. This Forum set the stage for increased coordination and communication around landscape...
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Purpose: The 2023 Landscape Conservation Collaborative Inventory for the Pacific Northwest presents a consolidated overview of landscape conservation collaboratives across British Columbia, Washington, and Oregon. This database delineates collaborative efforts, their objectives, and key stakeholders. The primary objective is to promote transparency, foster collaboration, and amplify the impact of conservation initiatives, thereby contributing to the responsible management and preservation of the Pacific Northwest’s natural resources and ecosystems. Designed for individuals involved in organizing, coordinating, or participating in landscape conservation initiatives within the Pacific Northwest, this inventory is...
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This report provides a summary of the Pacific Northwest Landscape Conservation Forum which was held virtually December 13–14, 2023. The event featured keynote speakers, presentations, panel discussions, and breakout room sessions; detailed synopses are included in the report. Day 1 of the Forum began with a keynote presentation from Shawn Johnson (Director of the Center for Natural Resources and Environmental Policy at the University of Montana) on the value of collaborative networks. This was followed by a panel discussion with landscape conservation collaboratives on spatial priorities and implementation strategies. It included presentations from the panelists: Alan Yanahan (Cascades to Coast Landscape Collaborative),...
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UPDATEThe Southeast Conservation Blueprint is the primary product of the Southeast Conservation Adaptation Strategy (SECAS). It is a living, spatial plan to achieve the SECAS vision of a connected network of lands and waters across the Southeast and Caribbean. The Blueprint is regularly updated to incorporate new data, partner input, and information about on-the-ground conditions.
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North American Grassland ecosystems are a regional priority of the U.S. Fish and Wildlife Service (FWS).And in order to implement Strategic Habitat Conservation (SHC) planning the FWS Grasslands EcosystemTeam (GET) needs to better understand the threat of climate change. Based on survey results of GET’sknowledge and needs, we propose to deliver targeted training to enhance the GETs ability tostrategically address climate issues in conservation planning. To date, the GET has successfullyaddressed other grassland threats (e.g., land conversion) but without this training the GET will behandicapped in their ability to fully integrate climate impacts and adaptation into the grassland SHC.
This U.S. Geological Survey (USGS) data release represents tabular data that were used to develop the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mice presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered subspecies of beach mice (Peromyscus...
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The Washington Connected Landscapes Project: Cascades to Coast Analysis produced the following geospatial data layers for mountain beaver (Aplodontia rufa): (1) a raster dataset depicting habitat suitability, (2) a vector dataset of core habitat depicting areas of high concentrations of suitable habitat, (3) a raster dataset depicting the landscape’s resistance to movement, (4) a raster dataset of cost-weighted distance depicting the permeability of the landscape for movement between core habitat areas, (5) a vector dataset depicting the least-cost paths between core habitat areas, and (6) a raster dataset depicting the least-cost corridors between core habitat areas. The data layers are provided in multiple file...
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Northeast Montana represents critical, core breeding habitat for many of our most imperiled grasslandsongbird species. USFWS has been working cross-programmatically and with a broad array of externalpartnerships in this region to maintain and enhance habitat for these species. However, to date we havenot adequately monitored birds response to these interventions to determine if and how much we arebenefiting populations. This project would provide that capability for at least a five-year period.
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Grassland habitat losses to woody encroachment iswidespread and ongoing intheSandhills.Many grassland-obligate bird species are not able to use encroached areas, although exact tolerance levels are not known. Long-and short-term effects of woody encroachment removal and control have not yet been determined. More information about the interactions between breeding birds and woody encroachment can help our partnership be more efficient and effective when taking actions intendedto benefit declining species.


map background search result map search result map Bayesian network model beach mice casefile Bayesian network model detection casefile Climate Change and Climate Adaptation Training for Grasslands Conservation Practitioners Closing the SHC loop by monitoring grassland songbirds in Montanas Northern Great Plains Effects of woody encroachment and management on grassland birds in Nebraskas Sandhills Southeast Conservation Blueprint 2022 Southeast Conservation Blueprint 2024 Pacific Northwest Landscape Conservation Forum 2023 Pacific Northwest Landscape Conservation Forum Summary Report Partial Inventory of Landscape Conservation Collaboratives in British Columbia, Washington, and Oregon Report Partial Inventory of Landscape Conservation Collaboratives in British Columbia, Washington, and Oregon Database Washington Connected Landscapes Project: Cascades to Coast Analysis Synthesis Analysis Geospatial Dataset Landscape Integrity Geospatial Dataset Western Gray Squirrel (Sciurus griseus) Geospatial Dataset Fisher (Pekania pennanti) Geospatial Dataset Mountain Beaver (Aplodontia rufa) Geospatial Dataset Bayesian network model beach mice casefile Bayesian network model detection casefile Closing the SHC loop by monitoring grassland songbirds in Montanas Northern Great Plains Washington Connected Landscapes Project: Cascades to Coast Analysis Synthesis Analysis Geospatial Dataset Landscape Integrity Geospatial Dataset Western Gray Squirrel (Sciurus griseus) Geospatial Dataset Fisher (Pekania pennanti) Geospatial Dataset Mountain Beaver (Aplodontia rufa) Geospatial Dataset Effects of woody encroachment and management on grassland birds in Nebraskas Sandhills Pacific Northwest Landscape Conservation Forum 2023 Pacific Northwest Landscape Conservation Forum Summary Report Partial Inventory of Landscape Conservation Collaboratives in British Columbia, Washington, and Oregon Report Partial Inventory of Landscape Conservation Collaboratives in British Columbia, Washington, and Oregon Database Climate Change and Climate Adaptation Training for Grasslands Conservation Practitioners Southeast Conservation Blueprint 2022 Southeast Conservation Blueprint 2024