Skip to main content
Advanced Search

Filters: Types: Downloadable (X) > partyWithName: Southern Rockies Landscape Conservation Cooperative (X)

43 results (64ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
The SRLCC provided funds to the states of Arizona and New Mexico to support development of the states Crucial Habitat Assessment Tools (CHATs) which provide a decision support system to better incorporate wildlife values, sensitive animals and plants, and important ecosystem features into land use decision-making to reduce conflicts and surprises.Several states have released wildlife mapping tools that are the foundation for displaying crucial wildlife and corridor information. The state and regional CHATs are non-regulatory, and give project planners and the general public access to credible scientific data on a broad scale for use in project analysis, siting and planning. This includes large-scale development...
Categories: Data, Project; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: AZ-01, AZ-02, AZ-03, AZ-04, AZ-05, All tags...
thumbnail
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). Habitat variables varied among species but included vegetation type, terrain ruggedness, topographic position index (TPI), road density, distance to water,...
thumbnail
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. 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.We used a random forest modeling approach to model the relation between specific mean daily flow on gaged streams (115 gages) and environmental variables. We then projected specific mean...
thumbnail
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. We used a random forest modeling approach to model the relation between specific minimum flow on gaged streams (115 gages) and environmental variables. We then projected...
thumbnail
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.
thumbnail
This project had two primary goals: 1) To develop a process for integrating data from multiple sources to improve predictions of climate impacts for wildlife species; and 2) To provide data on climate and related hydrological change, fire behavior under future climates, and species’ distributions for use by researchers and resource managers.We present within this report the process used to integrate species niche models, fire simulations, and vulnerability assessment methods and provide species’ reports that summarize the results of this work. Species niche model analysis provides information on species’ distributions under three climate scenarios and time periods. Niche model analysis allows us to estimate the...
thumbnail
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. We used a conditional inference modeling approach to model the relation between intermittency status on gaged streams (115 gages) and selected mean and minimum flow metrics. We then projected intermittency status and if a stream...
thumbnail
The Arizona Game and Fish Department (AGFD) recognizes the need for a strong data foundation to inform science-based decisions for fisheries management at a watershed level. In preparation for a shift towards comprehensive watershed-scale planning, AGFD is developing a fisheries data management system with an initial focus on compiling and formatting several hundred thousand fish survey and stocking records. Fish data will be integrated within a Geographic Information System (GIS) by georeferencing observations to an existing national spatial framework (National Hydrography Dataset), which will allow for broader transferability to watersheds shared with neighboring states, creating a seamless layer not limited by...
thumbnail
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). Habitat variables varied among species but included vegetation type, terrain ruggedness, topographic position index (TPI), road density, distance...
thumbnail
We are providing geospatial data layers of climate, fire, biome and predicted species distributions for download at our project website. Links to presentations, data descriptions and zip files containing data layers can be found here. Over the next few months, we will continue to upload webinars and new training tutorials that demonstrate the application of these datasets to new questions and species. Climate and environmental data can readily be used to generate new models for additional species or other applications to describe habitats and future conditions within New Mexico. Initial fire model output is available as raster images and tabulated values that can be used in analyses of wildfire risk or hazardous...
thumbnail
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.
thumbnail
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). Habitat variables varied among species but included vegetation type, terrain ruggedness, topographic position index (TPI), road density, distance to water,...
thumbnail
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.
thumbnail
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). Habitat variables varied among species but included vegetation type, terrain ruggedness, topographic position index (TPI), road density, distance to water,...
thumbnail
By collaborating with water managers and combining climate modeling and paleoclimate methods, the project team will incorporate prediction tools to assess risk of extreme wet/dry climate conditions for the next 10-15 years (i.e. decadal prediction). Our target area is the Wasatch Range Metropolitan Area that includes Salt Lake City one of the largest population centers within the Southern Rockies LCC. We will focus on projecting future water availability and quality with a specific goal for decadal prediction. The project team has partnered with numerous water agencies in the Wasatch Range who have made in-kind contributions towards this project. This partnership guarantees that the results will be disseminated,...
thumbnail
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. We used a random forest modeling approach to model the relation between zero-flow days per year on gaged streams (115 gages) and environmental variables....
thumbnail
This project aims to improve seasonal water supply forecasts on the Upper Rio Grande River basin and, in doing so, help to minimize the substantial costs associated with erroneous forecasts and related sub-optimal allocations of water for surface irrigation, groundwater recharge and endangered specifies management. Erroneous seasonal water supply forecasts in the Upper Rio Grande River basin have a profound impact on water management, agricultural production and economic vitality.The specific goals of this project are to: Develop state-of the art precipitation and snowpack monitoring products through the use of experimental radar, surface observations and land data assimilation systems Improve the spatial and...
Categories: Data, Project; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Raster; Tags: CO-03, Colorado, Colorado, Data Acquisition and Development, Federal resource managers, All tags...


map background search result map search result map Support to Western States Crucial Habitat Assessment Tools A Landscape Approach for Fisheries Database Compilation and Predictive Modeling (Not listed in the LCC Science Catalog due to Desert LCC co-funding and catalog administering) Improving Seasonal Water Supply Predictions and Water Management in the Upper Rio Grande River Basin through use of Enhanced Observations of Snowfall, Snowpack and Physics-Based Modeling Systems WaterSMART: Building Decadal Prediction of Extreme Climate for Managing Water Supply in Intermountain West Riparian Impact Combined, RCP 4.5 Terrestrial Impact Combined, RCP 4.5 Terrestrial Impact Combined, RCP 8.5 Adaptive Capacity, High Range Adaptive Capacity, Low Range Adaptive Capacity, Preliminary Bighorn Sheep Habitat Connectivity Black Bear Habitat Quality Mule Deer Habitat Quality Pronghorn Habitat Quality Predicted specific mean daily flow Predicted specific minimum flow Predicted hydrology (intermittency) under drier climate conditions Predicted mean annual number of zero-flow days Final Report: Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change Maps and Data: Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change Improving Seasonal Water Supply Predictions and Water Management in the Upper Rio Grande River Basin through use of Enhanced Observations of Snowfall, Snowpack and Physics-Based Modeling Systems Final Report: Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change Maps and Data: Vulnerability of Riparian Obligate Species in the Rio Grande to the Interactive Effects of Fire, Hydrological Variation and Climate Change WaterSMART: Building Decadal Prediction of Extreme Climate for Managing Water Supply in Intermountain West Bighorn Sheep Habitat Connectivity Black Bear Habitat Quality Mule Deer Habitat Quality Pronghorn Habitat Quality A Landscape Approach for Fisheries Database Compilation and Predictive Modeling (Not listed in the LCC Science Catalog due to Desert LCC co-funding and catalog administering) Predicted hydrology (intermittency) under drier climate conditions Predicted specific mean daily flow Predicted specific minimum flow Predicted mean annual number of zero-flow days Riparian Impact Combined, RCP 4.5 Terrestrial Impact Combined, RCP 4.5 Terrestrial Impact Combined, RCP 8.5 Support to Western States Crucial Habitat Assessment Tools Adaptive Capacity, High Range Adaptive Capacity, Low Range Adaptive Capacity, Preliminary