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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. We used a random forest modeling approach to model the relation between 7-day minimum flow on gaged streams (115 gages) and environmental variables. We then projected 7-day minimum...
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). Habitat variables varied among species but included vegetation type, terrain ruggedness, topographic position index (TPI), road density, distance to water,...
Blueprint 2.0 This layer is an older version of the South Atlantic Blueprint. The Blueprint prioritizes areas for shared conservation action in the South Atlantic geography. Priorities in Blueprint 2.0 are driven by natural and cultural resource indicator models and a connectivity analysis. Click here to learn more about the indicators. The Conservation Blueprint is a living spatial plan for sustaining natural and cultural resources in the face of future change. More than 400 people from over 100 organizations have actively participated so far in developing the Blueprint. Click here to learn more about the Blueprint. Background The lands and waters of the South Atlantic are changing rapidly. Climate change, urban...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Data,
Datasets/Database,
LCC Network Science Catalog,
biota,
biota,
Final Report Abstract: More than half of the world’s population relies upon monsoonal rainfall that supports agriculture. While in many locations climate change is resulting in less moisture from fewer winter storms and more intense summer precipitation events, rural working landscapes (agricultural managed systems) are struggling to recover from increasingly extreme droughts and floods. The Cañada Alamosa watershed, a 420,000 acre in southwestern New Mexico (see figure 1), faces contemporary resource challenges common to the Southwest; overgrazing and fire suppression have led to a loss of deep soils and vegetative cover. This area’s traditional cultural practices of managed stormwater flooding of the historic...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: 2012,
Alamosa Creek,
Cañada Alamosa Watershed,
Conservation Design,
Data.gov Desert LCC,
Conservation estate and conservation priority areas identified by states, joint ventures, NGO’s, etc. within the greater Mississippi River Basin. NOTE: While the data layers “Sum - Conservation Focus Areas (2016)” and “Sum - Conservation and Watershed Interests (2016)” include conservation opportunity areas delineated by Louisiana DWF, this map service does not include that layer separately due to data sharing restrictions.
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Data,
Data.gov,
LCC,
LCC Network Science Catalog,
agriculture,
At-risk and range restricted species models: Geographic Datasets for Lithobates capito (Gopher Frog)
The Virginia Department of Conservation and Recreation – Natural Heritage Program (DCRDNH) and the Florida Natural Areas Inventory (FNAI) at Florida State University (collectively, Project Partners) were funded by the South Atlantic Landscape Conservation Cooperative (SALCC) in April 2015 to develop ten species distribution models (SDM) of priority at-risk and range-restricted species (Ambystoma cingulatum, Echinacea laevigata, Heterodon simus, Lindera melissifolia, Lythrum curtissii, Notophthalmus perstriatus, Phemeranthus piedmontanus, Rhus michauxii, and Schwalbea americana) for the purposes of incorporating the models and supporting information on the conservation and management needs of the species into the...
The Virginia Department of Conservation and Recreation – Natural Heritage Program (DCRDNH) and the Florida Natural Areas Inventory (FNAI) at Florida State University (collectively, Project Partners) were funded by the South Atlantic Landscape Conservation Cooperative (SALCC) in April 2015 to develop ten species distribution models (SDM) of priority at-risk and range-restricted species (Ambystoma cingulatum, Echinacea laevigata, Heterodon simus, Lindera melissifolia, Lythrum curtissii, Notophthalmus perstriatus, Phemeranthus piedmontanus, Rhus michauxii, and Schwalbea americana) for the purposes of incorporating the models and supporting information on the conservation and management needs of the species into the...
The Virginia Department of Conservation and Recreation – Natural Heritage Program (DCRDNH) and the Florida Natural Areas Inventory (FNAI) at Florida State University (collectively, Project Partners) were funded by the South Atlantic Landscape Conservation Cooperative (SALCC) in April 2015 to develop ten species distribution models (SDM) of priority at-risk and range-restricted species (Ambystoma cingulatum, Echinacea laevigata, Heterodon simus, Lindera melissifolia, Lythrum curtissii, Notophthalmus perstriatus, Phemeranthus piedmontanus, Rhus michauxii, and Schwalbea americana) for the purposes of incorporating the models and supporting information on the conservation and management needs of the species into the...
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. We represent these conceptually as categorical for ease of discussion, but in reality there is continuum of vulnerabilities, and a different adaptation strategies and likely conservation actions, depending on the characteristics of the vulnerability.
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. We represent these conceptually as categorical for ease of discussion, but in reality there is continuum of vulnerabilities, and a different adaptation strategies and likely conservation actions, depending on the characteristics of the vulnerability.
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). Habitat variables varied among species but included vegetation type, terrain ruggedness, topographic position index (TPI), road density, distance...
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). Habitat variables varied among species but included vegetation type, terrain ruggedness, topographic position index (TPI), road density, distance to...
Despite the lack of surface flows, the Colorado River riparian corridor in Mexico has proven to be ecologically resilient. Floods in the 1980s and 90s in the region brought back large swaths of native riparian habitat, which still persist today in some areas along the river. Because the historic floodplain is extremely important for agricultural production and therefore the local economy, habitat maintenance must be integrated with continued utilization of lands and water for this purpose.The riparian, marsh, and open-water areas found in Reach 4 provide critical habitat for both migratory and resident riparian bird species. Due to its ecological importance, the riparian corridor and Reach 4 in particular have been...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2014,
Applications and Tools,
Baja California,
Colorado River Delta,
Data,
Arithmetic mean of the rank values of sensitivity and exposure variables.
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. 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 intermittency on gaged streams (115 gages) and environmental variables. We then projected intermittency status to ungaged reaches in the Upper Colorado...
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. We used a random forest modeling approach to model the relation between minimum flow CV (the standard deviation of annual minimum flows times 100 divided by the mean of annual minimum flows) on gaged streams (115 gages) and environmental variables....
This dataset consists of a statewide GIS database of oil and gas pipelines for the state of Wyoming. It was produced under contract to the Wyoming State Energy Commssion by the Wyoming State Geological Survey with the help of various companies and government agencies. It contains oil, gas, CO2, product, and proposed pipelines with a variety of attribution. This dataset is to be completed Sept 25, 2002 and will be updated periodically in the future.
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. 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...
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. We used a random forest modeling approach to model the relation between frequency of low-pulse events on gaged streams (115 gages) and environmental variables. We then projected frequency of low-pulse events to ungaged reaches in the Upper Colorado River Basin...
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. We represent these conceptually as categorical for ease of discussion, but in reality there is continuum of vulnerabilities, and a different adaptation strategies and likely conservation actions, depending on the characteristics of the vulnerability.
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