Broad Ecosystem Inventory Classification (BEI Theme)

Broad Ecosystem Inventory Classification provides broad regional information about the distribution of ecosystems throughout the province and the value of these ecosystemsto wildlife. This is done in order to facilitate the use of wildlife information in broad regional land and resource planning initiatives.Broad Ecosystem Units are mapped based on imagery of the provincialland base generally captured at a scale of 1:250,000.

Tags: BC, BC data, BEI, BGC, Biogeoclimatic, All tags... British Columbia, Broad Ecosystem Inventory, Canada, Ecology, Ecosystem Mapping, Ecosystems, NPLCC, North Pacific Landscape Conservation Cooperative, Wildlife Habitat, biota, Fewer tags

Pine Snake Connectivity

The connectivity result files from Circuitscape represent the "adjusted cumulative current density" flowing across the landscape for each of several species, at a 90-meter resolution across the South Atlantic Landscape Conservation Cooperative region. Rasters are classified using quantiles with 20 categories (each 5% of region) to integer scores from 1-20. 1 = lowest 5% of the landscape, 20= top 5% of landscape Expert opinion was used to define a resistance surface for each of the target animals, with higher resistance representing map units expected to be more difficult and dangerous for species to move through. A set of nodes for each species, with node points indicating center locations for potential source populations,...

Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Pine Snake, Southeast, connectivity, corridors, future projection, All tags... sea level rise, urbanization, wildlife habitat, wildlife linkages, Fewer tags

Climate, Land Management and Future Wildlife Habitat in the Pacific Northwest

In the Pacific Northwest, land and resource managers strive to make decisions that benefit both natural and human communities, balancing ecological and economic demands including wildlife habitat, forest products, forage for grazing, clean water, and wildfire control. Climate change adds a layer of complexity to the planning process because of its uncertain effects on the environment. In order to make sound decisions, managers need information about how climate change will affect wildlife habitat, both on its own and in conjunction with management actions. The goal of this project was to explore how future climate may interact with management alternatives to shape wildlife habitat across large landscapes. Scientists...

Categories: Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, Birds, Birds, CASC, Completed, All tags... Drought, Fire and Extreme Weather, Drought, Fire and Extreme Weather, Fire, Fire, Forests, Forests, Grasslands and Plains, Grasslands and Plains, Landscapes, Landscapes, Northwest, Northwest, Northwest, Northwest CASC, Projects by Region, Wildlife and Plants, Wildlife and Plants, climate change, land management, state and transition modeling, vegetation change, vulnerability assessment, wildlife habitat, Fewer tags

Predicted probability of fisher year-round occurrence, 2046-2065, CSIRO Mk3 A2, 800 m resolution

Predicted probability of fisher year-round occurrence derived from future (2046-2065) climate projections and vegetation simulations. Projected fisher distribution was created with Maxent (Phillips et al. 2006) using fisher detections (N = 302, spanning 1990 – 2011) and five predictor variables: mean annual precipitation, mean summer (July – September) precipitation, mean understory index (fraction of grass vegetation carbon in forest), mean forest carbon (g C m2), and mean fraction of vegetation carbon in forest. Future climate drivers were generated using statistical downscaling (simple delta method) of general circulation model projections, in this case CSIRO Mk3 (Gordon 2002) under the A2 emission scenario...

Tags: california, climate, csiro, fisher, mammal, All tags... mc1, north america, species distribution model, usa, wildlife habitat, yale, Fewer tags

Predicted probability of marten year-round occurrence, 2046-2065, MIROC A2, 4 km resolution

Predicted probability of marten year-round occurrence derived from future (2046-2065) climate projections and vegetation simulations. Projected marten distribution was created with Maxent (Phillips et al. 2006) using marten detections (N = 302, spanning 1990 – 2011) and nine predictor variables: mean winter (January – March) precipitation, mean amount of snow on the ground in March, mean understory index (fraction of grass vegetation carbon in forest), mean fraction of total forest carbon in coarse wood carbon, average maximum tree LAI, mean fraction of vegetation carbon burned, mean forest carbon (g C m2), mean fraction of vegetation carbon in forest, and modal vegetation class. Future climate drivers were...

Tags: california, climate, mammal, marten, mc1, All tags... miroc, north america, species distribution model, usa, wildlife habitat, yale, Fewer tags

Predicted probability of marten year-round occurrence, 1986-2005, 4 km resolution

Predicted probability of marten year-round occurrence created with Maxent (Phillips et al. 2006) using marten detections (N = 302, spanning 1990 – 2011) and nine predictor variables: mean winter (January – March) precipitation, mean amount of snow on the ground in March, mean understory index (fraction of grass vegetation carbon in forest), mean fraction of total forest carbon in coarse wood carbon, average maximum tree LAI, mean fraction of vegetation carbon burned, mean forest carbon (g C m2), mean fraction of vegetation carbon in forest, and modal vegetation class. Predictor variables had a grid cell size of 4 km by 4 km, vegetation variables were simulated with MC1 dynamic global vegetation model (Bachelet...

Tags: california, climate, mammal, marten, mc1, All tags... north america, species distribution model, usa, wildlife habitat, yale, Fewer tags

Predicted probability of marten year-round occurrence, 1986-2005, Hadley CM3 A1fi, 10 km resolution

Predicted probability of marten year-round occurrence created with Maxent (Phillips et al. 2006) using marten detections (N = 302, spanning 1990 – 2011) and eight predictor variables: mean annual precipitation, mean summer (July – September) precipitation, mean summer temperature amplitude, mean annual temperature maximum, mean fraction of vegetation carbon burned, mean understory index, mean vegetation carbon (g C m-2), and modal vegetation class. Predictor variables had a grid cell size of 10 km, vegetation variables were simulated with MC1 (Hayhoe et al. 2004), historical climate variables were provided by the PRISM GROUP (Daly et al. 1994), and future climate projections were obtained from the Hadley Center...

Tags: california, climate, distribution model, hadley, mammal, All tags... marten, mc1, north america, species, usa, wildlife habitat, yale, Fewer tags

Future Spotted Owl Habitat Scenarios, Northwest Washington Study Area, 2007-2096

The following files are designed to be run using the Path Landscape Model software, version 3.0.4. Later versions of the software cannot run these files. To get a copy of this software, please contact Apex RMS at path@apexrms.com. 1) Path models MUST be run with the provided .MCM and .trd mulitplier files to apply the required transition probability adjustments for procesess such as insect outbreaks, wildfire, and climate change trends. Each Path database is set up with three folders: - The 'Common' folder contains a single Path scenario (also named 'Common'). The Transitions tab within the Common scenario contains the climate-smart STM. - The 'Multipliers' folder contains multipliers specific to each ownership-allocation...

Categories: Data; Types: Downloadable; Tags: Birds, Drought, Fire and Extreme Weather, Fire, Forests, Grasslands and Plains, All tags... Landscapes, Northwest CASC, Pacific Coast, Pacific Northwest, Stream temperature, Washington, Wildlife and Plants, climate change, land management, state and transition modeling, vegetation change, vulnerability assessment, wildlife habitat, Fewer tags

Collaborative Multi-species Monitoring in the Southern Rockies LCC: Impacts of Forest Restoration Treatments on Ponderosa Pine Ecosystems in Colorado

Colorados Front Range represents a region of the Southern Rockies LCC that is both ecologically and economically significant. It is home to the majority of Colorados residents, including the major population centers of Denver, Fort Collins, Boulder, and Colorado Springs, and provides critical ecosystem services such as clean and abundant water, wildlife habitat, recreation opportunities, and aesthetic values to the rest of the state. Ponderosa pine (Pinus ponderosa) dominated forests span the majority of the Front Range mountains and foothills, covering approximately 700,000 acres of the Front Range landscape between 5000 and 8500 ft elevation. The lower-montane zone ponderosa pine forests (~5500-7000 ft) form the...

Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AZ-01, AZ-04, CO-02, CO-03, CO-05, All tags... Colorado, Colorado, Federal resource managers, Front Range, GIS, Informing Conservation Delivery, LCC, LCC Network Science Catalog, Monitoring, NM-01, NM-02, NM-03, Project, Report, Rocky Mountain Front Range, Rocky Mountains, SRLCC, Southern Rockies Ecoregion, UT-01, UT-02, UT-03, completed, forest restoration, forest restoration, impacts, impacts, monitoring, monitoring, ponderosa pine, ponderosa pine, understory plants, understory plants, wildlife habitat, wildlife habitat, Fewer tags

Scenario Grids

The PFLCC has recently completed a set of comprehensive conservation planning scenarios for the state of Florida. This represents the first statewide effort to assess likely alternative futures for conservation considering an array of financial, biological, climatological and urbanistic conditions. These spatially explicit and temporal scenarios simulate both urban growth and climate change and identify the most suitable areas for conservation given the resulting land use pattern. Conservation allocations are based on both fee-title and conservation easements.The conservation priorities and mechanisms expressed in these scenarios are based on a wide set of contributing factors, and simulated conservation is purposefully...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2014, Conservation Planning, Data, Datasets/Database, Impact Assessment, All tags... LCC, LCC Network Science Catalog, Other, Peninsular Florida Landscape Conservation Cooperative, Report, climate change, completed, environment, environment, urbanization, wildlife habitat, Fewer tags

Climate, land management and future wildlife habitat in the Pacific Northwest

This study addressed the challenges faced by natural resource management planning in the context of climate change. We explored how future climate may interact with management alternatives to shape wildlife habitat across large landscapes. We studied habitat for the northern spotted owl in coastal Washington and southwestern Oregon, and habitat for the greater sage-grouse in southeastern Oregon. In coastal Washington, the primary threat to owl habitat is likely to be habitat loss as a result of increasing fire and shifts in vegetation with changing climate. These threats may not be fully mitigated with management. In southwest Oregon, increasing fire frequencies under climate change are also likely to pose the greatest...

Tags: Birds, Drought, Fire and Extreme Weather, Fire, Forests, Grasslands and Plains, All tags... Greater Sage-grouse, Landscapes, Northwest CASC, Wildlife and Plants, climate change, management alternatives, northern spotted owl, wildlife habitat, Fewer tags

Functional Connectivity Index: Pine Snake and Eastern Diamondback

The connectivity result files from Circuitscape represent the "adjusted cumulative current density" flowing across the landscape for each of several species, at a 90-meter resolution across the South Atlantic Landscape Conservation Cooperative region. Rasters are classified using quantiles with 20 categories (each 5% of region) to integer scores from 1-20. 1 = lowest 5% of the landscape, 20= top 5% of landscape Expert opinion was used to define a resistance surface for each of the target animals, with higher resistance representing map units expected to be more difficult and dangerous for species to move through. A set of nodes for each species, with node points indicating center locations for potential source populations,...

Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Eastern Diamondback, connectivity, corridors, future projection, pine snake, All tags... sea level rise, urbanization, wildlife habitat, wildlife linkages, Fewer tags

Predicted probability of fisher occurrence in summer (May – November), 1986-2005, 4 km resolution

Predicted probability of fisher summer occurrence created with Maxent (Phillips et al. 2006) using fisher detections (N = 83, May – November, spanning 1993 – 2009) and eight predictor variables: mean annual precipitation, mean summer (July – September) precipitation, mean summer temperature amplitude, mean understory index (fraction of grass vegetation carbon in forest), mean fraction of total forest carbon in coarse wood carbon, mean forest carbon (g C m2), mean fraction of vegetation carbon in forest, and modal vegetation class. Predictor variables had a grid cell size of 4 km by 4 km, vegetation variables were simulated by the MC1 dynamic global vegetation model (Bachelet et al. 2001) and historical climate variables...

Tags: california, climate, fisher, mammal, mc1, All tags... north america, species distribution model, usa, wildlife habitat, yale, Fewer tags

Predicted probability of fisher year-round occurrence, 1986-2005, 4 km resolution

Predicted probability of fisher year-round occurrence created with Maxent (Phillips et al. 2006) using fisher detections (N = 102, spanning 1993 – 2011) and nine predictor variables: mean winter (January – March) precipitation, mean summer (July – September) precipitation, mean summer temperature amplitude, mean daily low temperature for the month of the year with the warmest mean daily low temperature, average number of months with mean temperature < 0°C, mean understory index (fraction of grass vegetation carbon in forest), mean fraction of total forest carbon in coarse wood carbon, mean forest carbon (g C m2), mean fraction of vegetation carbon in forest, and modal vegetation class. Predictor variables had a...

Tags: california, climate, fisher, mammal, mc1, All tags... north america, species distribution model, usa, wildlife habitat, yale, Fewer tags

Predicted probability of marten year-round occurrence, 2046-2065, PCM1 A2, 10 km resolution

Future (2046-2065) predicted probability of marten year-round occurrence projected under the A2 emissions scenario with the PCM1 GCM (Washington et al. 2000; Meehl et al. 2003). The projected marten distribution was created with Maxent (Phillips et al. 2006) using marten detections (N = 302, spanning 1990 – 2011) and nine predictor variables: mean annual precipitation, mean summer (July – September) precipitation, mean summer temperature amplitude, mean annual temperature maximum, mean fraction of vegetation carbon burned, mean understory index, mean vegetation carbon (g C m2), modal vegetation class, and average maximum tree LAI. Predictor variables had a grid cell size of 10 km, vegetation variables were simulated...

Tags: california, climate, hadley, mammal, marten, All tags... mc1, north america, pcm1, species distribution model, usa, wildlife habitat, yale, Fewer tags

Predicted probability of fisher year-round occurrence, 2046-2065, Hadley CM3 A2, 800 m resolution

Predicted probability of fisher year-round occurrence derived from future (2046-2065) climate projections and vegetation simulations. Projected fisher distribution was created with Maxent (Phillips et al. 2006) using fisher detections (N = 302, spanning 1990 – 2011) and five predictor variables: mean annual precipitation, mean summer (July – September) precipitation, mean understory index (fraction of grass vegetation carbon in forest), mean forest carbon (g C m2), and mean fraction of vegetation carbon in forest. Future climate drivers were generated using statistical downscaling (simple delta method) of general circulation model projections, in this case Hadley CM3 (Johns et al. 2003) under the A2 emission scenario...

Tags: a2, california, climate, cm3, fisher, All tags... hadley, mammal, mc1, north america, species distribution model, usa, wildlife habitat, yale, Fewer tags

Eastern Diamondback Connectivity

Expert opinion was used to define a resistance surface for each of the target animals, with higher resistance representing map units expected to be more difficult and dangerous for species to move through. A set of nodes for each species, with node points indicating center locations for potential source populations, are also defined. Note actual species population data to define the nodes is not used, as that data was often unavailable, and the focus is on the potential spread of the species across the SALCC region and not limited to models to known populations. Therefore, node locations were determined using an innovative approach to search for local minima in the resistance surfaces, as such areas likely represent...

Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Eastern Diamondback, Southeast, connectivity, corridors, future projection, All tags... sea level rise, urbanization, wildlife habitat, wildlife linkages, Fewer tags

Functional Connectivity Index - Current: Black Bear and Timber Rattlesnake

The connectivity result files from Circuitscape represent the "adjusted cumulative current density" flowing across the landscape for each of several species, at a 90-meter resolution across the South Atlantic Landscape Conservation Cooperative region. Rasters are classified using quantiles with 20 categories (each 5% of region) to integer scores from 1-20. 1 = lowest 5% of the landscape, 20= top 5% of landscape Expert opinion was used to define a resistance surface for each of the target animals, with higher resistance representing map units expected to be more difficult and dangerous for species to move through. A set of nodes for each species, with node points indicating center locations for potential source populations,...

Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: black bear, connectivity, corridors, future projection, sea level rise, All tags... timber rattlesnake, urbanization, wildlife habitat, wildlife linkages, Fewer tags

Taking Action Together: The Northeast Regional Synthesis for State Wildlife Action Plans

The Northeast Fish and Wildlife Diversity Technical Committee (NEFWDTC) and its partner organizations, public and private, offer the Northeast Regional Synthesis as a work in progress, an early result of our long-term commitment to regional collaboration and successful conservation of wildlife species and the lands and waters that sustain them.This document represents a landmark regional collaboration in the history of wildlife conservation in the United States. It is also designed as a practical tool that will help guide state fish and wildlife agencies and their conservation partners in setting priorities and making on-the-ground conservation decisions that affect the future of wildlife and the habitats that support...

Categories: Data; Tags: LCC Network Science Catalog, North Atlantic Landscape Conservation Cooperative Data.gov, Report, completed, wildlife conservation, All tags... wildlife habitat, Fewer tags

Statewide Impact Assessment

The PFLCC has recently completed a set of comprehensive conservation planning scenarios for the state of Florida. This represents the first statewide effort to assess likely alternative futures for conservation considering an array of financial, biological, climatological and urbanistic conditions. These spatially explicit and temporal scenarios simulate both urban growth and climate change and identify the most suitable areas for conservation given the resulting land use pattern. Conservation allocations are based on both fee-title and conservation easements.The conservation priorities and mechanisms expressed in these scenarios are based on a wide set of contributing factors, and simulated conservation is purposefully...

Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2014, Conservation Planning, Datasets/Database, Impact Assessment, LCC, All tags... LCC Network Science Catalog, Other, Peninsular Florida Landscape Conservation Cooperative, Project, Report, biota, biota, climate change, completed, environment, environment, urbanization, wildlife habitat, Fewer tags