Resources

LCCs have produced a wealth of informational documents, reports, fact sheets, webinars and more to help support resource managers in designing and delivering conservation at landscape scales.

This data product contains estimates of habitat connectivity for desert bighorn sheep. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011).

Date posted: December 20, 2018

The Gunnison Climate Working Group is a chartered partnership of 14 public and private organizations in Colorados Upper Gunnison Basin. The Southern Rockies LCC (SRLCC) funded The Nature Conservancy to complete a comprehensive vulnerability assessment identifying species and ecosystems most at risk from climate change. The assessment included a set of habitat adaptation strategies for priority species, such as the Gunnison sage-grouse. As a final product, local demonstration projects were designed and installed.

Date posted: December 20, 2018

This data product contains estimates of habitat connectivity for mule deer. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011).

Date posted: December 20, 2018

This data product contains estimates of habitat quality and connectivity for mountain lion, mule deer, desert bighorn sheep, and black bear, and combined estimates of high habitat and connectivity areas for all species. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah.

Date posted: December 20, 2018

The Gunnison Climate Working Group is a chartered partnership of 14 public and private organizations in Colorados Upper Gunnison Basin. The Southern Rockies LCC (SRLCC) funded The Nature Conservancy to complete a comprehensive vulnerability assessment identifying species and ecosystems most at risk from climate change. The assessment included a set of habitat adaptation strategies for priority species, such as the Gunnison sage-grouse. As a final product, local demonstration projects were designed and installed.

Date posted: December 20, 2018

The Gunnison Climate Working Group is a chartered partnership of 14 public and private organizations in Colorados Upper Gunnison Basin. The Southern Rockies LCC (SRLCC) funded The Nature Conservancy to complete a comprehensive vulnerability assessment identifying species and ecosystems most at risk from climate change. The assessment included a set of habitat adaptation strategies for priority species, such as the Gunnison sage-grouse. As a final product, local demonstration projects were designed and installed.

Date posted: December 20, 2018

This data product contains estimates of habitat quality for desert bighorn sheep. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011).

Date posted: December 20, 2018

This data product contains estimates of habitat connectivity for black bear. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011).

Date posted: December 20, 2018

The University of California, Davis in partnership with the Navajo Nation is partnering with the Southern Rockies LCC to provide estimates of habitat connectivity for focal species on the Navajo Nation and adjacent lands that the tribe wishes to incorporate into planning and implementation of adaptive management. The project will derive habitat variables as inputs for connectivity models, and model outputs likely will include habitat quality and conductance.

Date posted: December 20, 2018

This data product contains estimates of habitat connectivity for mountain lion. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011).

Date posted: December 20, 2018

This data product contains estimates of habitat quality for mountain lion. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011).

Date posted: December 20, 2018

This data product contains estimates of habitat quality for mule deer. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011).

Date posted: December 20, 2018

This data product contains estimates of habitat quality for pronghorn. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011).

Date posted: December 20, 2018

This data product contains estimates of habitat quality for black bear. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011).

Date posted: December 20, 2018

The purpose of this Agreement is to provide financial assistance to the National Wildlife Refuge Association in support of collaborative work between them and the Bear River Refuge to further the goals and accomplish objectives of the Bear River Watershed Conservation Area, and to work with the Friends of Bear River Refuge to establish an endowment fund for conservation education in the watershed.

Date posted: December 20, 2018

This data product contains combined estimates of high habitat connectivity areas for mountain lion, mule deer, desert bighorn sheep, and black bear. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah.

Date posted: December 20, 2018

This data product contains estimates of habitat quality and connectivity for mountain lion, mule deer, desert bighorn sheep, and black bear, and combined estimates of high habitat and connectivity areas for all species. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah.

Date posted: December 20, 2018

Our objective was to model the risk of becoming intermittent under drier climate conditions on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate.

Date posted: December 20, 2018

This data product contains estimates of habitat connectivity for pronghorn. The analysis area was a 236,000 square kilometers that encompassed the Navajo Nation, which includes portions of Arizona, New Mexico, and Utah. The estimates of habitat quality were created with spatially explicit habitat variables and either an expert-based linear combination process (for mountain lion and mule deer) or a generalized linear mixed model-based estimation that used radio-collar telemetry data (for desert bighorn sheep, black bear, and pronghorn; collected between 2005-2011).

Date posted: December 20, 2018

Longer, drier summers projected for arid and semi-arid regions of western North America under climate change are likely to have enormous consequences for water resources and river-dependent ecosystems. Many climate change scenarios for this region involve decreases in mean annual streamflow, latesummer precipitation and late-summer streamflow in the coming decades.

Date posted: December 20, 2018

Modeling streamflow is an important approach for understanding landscape-scale drivers of flow and estimating flows where there are no streamgage records. In this study conducted by the U.S. Geological Survey in cooperation with Colorado State University, the objectives were to model streamflow metrics on small, ungaged streams in the Upper Colorado River Basin and identify streams that are potentially threatened with becoming intermittent under drier climate conditions.

Date posted: December 20, 2018

Our objective was to model intermittency (perennial, weakly intermittent, or strongly intermittent) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records.

Date posted: December 20, 2018

Our objective was to model mean annual number of zero-flow days (days per year) for small streams in the Upper Colorado River Basin under historic hydrologic conditions on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate.

Date posted: December 20, 2018

Our objective was to model minimum flow coefficient of variation (CV) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate.

Date posted: December 20, 2018

Our objective was to model specific mean daily flow (mean daily flow divided by drainage area [cubic feet per second per square mile]) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records.

Date posted: December 20, 2018

Estimation of connectivity for multiple species could increase the efficiency of resource management and elucidate trade-offs among maintenance of connectivity for different taxa. We identified potential areas of high connectivity for 5 species of mammals on the Navajo Nation and adjacent lands in Utah, Arizona, and New Mexico, USA: mountain lion (Puma concolor), mule deer (Odocoileus hemionus), desert bighorn sheep (Ovis canadensis nelsoni), American black bear (Ursus americanus), and pronghorn (Antilocapra americana).

Date posted: December 20, 2018

Without reliable spatial data for wetland and riparian areas, it is impossible for land managers to accurately assess the distribution of critical aquatic habitats and model potential impacts caused by climate change. Wetlands in the Southern Rockies are particularly important for wildlife habitat, as they are often far more productive than the surrounding uplands. In addition, wetlands are an integral component of regional hydrologic cycles through their role in flood abatement, storm water retention, groundwater recharge, and water quality improvement.

Date posted: December 20, 2018

Streamflows in late spring and summer have declined over the last century in the western U.S. and mean annual streamflow is projected to decrease by six to 25% over the next 100 years. In arid and semi-arid regions of the western US, it is likely that some perennial streams will shift to intermittent flow regimes in response to climate-driven changes in timing and magnitude of precipitation, runoff, and evaporation.

The project will address the following two research question:

Date posted: December 20, 2018

Without reliable spatial data for wetland and riparian areas, it is impossible for land managers to accurately assess the distribution of critical aquatic habitats and model potential impacts caused by climate change. Wetlands in the Southern Rockies are particularly important for wildlife habitat, as they are often far more productive than the surrounding uplands. In addition, wetlands are an integral component of regional hydrologic cycles through their role in flood abatement, storm water retention, groundwater recharge, and water quality improvement.

Date posted: December 20, 2018

Our objective was to model 7-day minimum flow (mean of the annual minimums of a 7-day moving average for each year [cubic feet per second]) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate.

Date posted: December 20, 2018

Our objective was to model frequency of low-pulse events on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate.

Date posted: December 20, 2018

Our objective was to model specific minimum flow (mean of the annual minimum flows divided by drainage area [cubic feet per second per square mile]) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate.

Date posted: December 20, 2018

An estimated value for the ability of managers to dirct actions to protect, restore, or mitigate species and habitats. We recognize that our preliminary estimates are arbitrary and fairly approximate, but argue that making these explicit within a framework will enable stakeholders and managers to conduct subsequent analyses to better support their decision making.

Date posted: December 19, 2018

Arithmetic mean of the rank values of sensitivity and exposure variables.

Date posted: December 19, 2018

Arithmetic mean of the rank values of sensitivity and exposure variables.

Date posted: December 19, 2018

Arithmetic mean of the rank values of sensitivity and exposure variables.

Date posted: December 19, 2018

We represent vulnerability as matrix that relates impacts with adaptive capacity. Vulnerability is high when impact is high and adaptive capacity is low. Vulnerability is moderate when either the impact is high and adaptive capacity is high, or if impact is low and adaptive capacity is low. Vulnerability is low when impact is low and adaptive capacity is high.

Date posted: December 19, 2018

An estimated value for the ability of managers to dirct actions to protect, restore, or mitigate species and habitats. We recognize that our preliminary estimates are arbitrary and fairly approximate, but argue that making these explicit within a framework will enable stakeholders and managers to conduct subsequent analyses to better support their decision making.

Date posted: December 19, 2018

We represent vulnerability as matrix that relates impacts with adaptive capacity. Vulnerability is high when impact is high and adaptive capacity is low. Vulnerability is moderate when either the impact is high and adaptive capacity is high, or if impact is low and adaptive capacity is low. Vulnerability is low when impact is low and adaptive capacity is high.

Date posted: December 19, 2018

An estimated value for the ability of managers to dirct actions to protect, restore, or mitigate species and habitats. We recognize that our preliminary estimates are arbitrary and fairly approximate, but argue that making these explicit within a framework will enable stakeholders and managers to conduct subsequent analyses to better support their decision making.

Date posted: December 19, 2018

We represent vulnerability as matrix that relates impacts with adaptive capacity. Vulnerability is high when impact is high and adaptive capacity is low. Vulnerability is moderate when either the impact is high and adaptive capacity is high, or if impact is low and adaptive capacity is low. Vulnerability is low when impact is low and adaptive capacity is high.

Date posted: December 19, 2018

The Southeast Conservation Blueprint is a a map of shared conservation and restoration priorities across the Southeast and Caribbean. The priority categories represent the level of value---high or medium---of healthy natural resources and their potential to benefit fish, wildlife and plants. This Blueprint is a product of the Southeast Conservation Adaptation Strategy (SECAS).

Date posted: December 19, 2018

Arithmetic mean of the rank values of sensitivity and exposure variables.

Date posted: December 19, 2018

Oyster reefs provide environmental and economic services within the coastal regions of the United States. Mapping the extent of these reefs and analyzing their composition can be highly beneficial for oyster management and restoration projects. The objectives of this research project included examining the feasibility of the use of low-cost side-scanning sonar (LC-SSS) systems and Unmanned Aircraft Systems (UAS) for mapping intertidal oyster reefs at selected sites within the Galveston Bay system, Texas.

Date posted: December 18, 2018

The model was acquired from Tyler Wagner (U.S. Geological Survey) (DeWeber & Wagner, 2014). Model outputs were composed of Ecological Drainage Units (EDUs), each of which was assigned a resulting mean predicted occurrence probability. The study region was determined by the Eastern Brook Trout Joint Venture (EBTJV) and represents the native range of the species on the East Coast. The polygons of interest were derived from the NHD plus dataset, with local catchments located at least 90% within the study region boundary.

Date posted: December 7, 2018

Hellbender presence data was acquired from NatureServe and limited to points dating from 1980 to the present, with individual points adapted from the available data. Geospatial data was acquired from the U.S. Geological Survey’s National Land Cover Database (NLCD) and the Horizon Systems Corporation National Hydrography Dataset (NHD) Version 2. The study was conducted over the extent of the Appalachian LCC. Environmental variables of consideration were determined through literature review and expert advice on the species (Personal correspondence, Quinn, 2009).

Date posted: December 7, 2018

The model for golden-winged warbler was acquired from Dolly Crawford (Ashland University), which was included in Chapter 3 of the 2012 conservation plan (Roth et al., 2012). Model was composed of cells of predicted Golden-Winged Warbler occurrence across the study region. The study region was determined by the expert opinion derived by the technical team regarding the core breeding populations of Golden-Winged Warbler presence and assigned to the Great Lakes Conservation Region and Appalachian Conservation Region.

Date posted: December 7, 2018

This project will conduct a synthesis of marine spatial data. An OPS staff will be hired to work with marine/coastal experts – to develop a Technical Advisory Group and gather data and input on the processes used in the marine assessment. Additionally, this project will identify key inland (terrestrial and freshwater) areas that currently have or may have in the future direct and indirect impacts on the health of the marine environment.

Date posted: December 6, 2018

The US FWS Patoka River National Wildlife Refuge is associated with a Lower Wabash River LCD team exploring voluntary conservation on public and private lands in a region with fairly cohesive ecology, issues and practices in mixed habitat types of uplands, wetlands and floodplain forest in the mainstem and headwaters along the Lower Wabash River in two states: south of Terre Haute, IN; the Eel River & Lower White River below the confluence with the Wabash River in Indiana; and the Little Wabash and Fox Rivers below Highway 50 in Illinois.

Date posted: December 5, 2018

Gulf Hypoxia Workshops

Date posted: December 4, 2018