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We created an enduring features (EF, ecological site type, geophysical setting) dataset for Oklahoma that is similar to the EF dataset we created for Texas (see Diamond et al. 2016, Diamond and Elliott 2015, Elliott et al. 2014), . Digital soil map unit polygons (MUs), variables derived from digital elevation models (e.g. percent slope), and landform models (e.g. low, gentle slopes and flats in the Ozark and Ouachita Mountains) were combined to form this dataset. Among these, the low flats of the Ozark and Ouachita Mountains were most complicated to model because the sites had a low slope but were occupied by dry-mesic forest (in contrast to the low slope of uplands, which tended to be drier). A combination of slope...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Complete,
Conservation NGOs,
Data,
Data.gov Gulf Coast Prairie Landscape Conservation Cooperative,
EARTH SCIENCE,
These heatmaps show a top 3 invasive and problematic plant stressor for riparian areas in the Chihuahuan Desert, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each of the top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Academics & scientific researchers,
BIOSPHERE,
BIOSPHERE,
COMMUNITY DYNAMICS,
COMMUNITY DYNAMICS,
These heatmaps show a top 3 riparian ecosystem functionality stressor, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each of the top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were shared via a webinar hosted by the Desert...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Academics & scientific researchers,
Complete,
Conservation NGOs,
Data,
Data.gov Desert Landscape Conservation Cooperative,
This dataset represents results from this study attributed to the NHDPlus V2 catchments. Changes in climate occurring throughout the Mississippi River Basin are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing changing thermal properties and flow regimes. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project provides a suite of climate metrics that have been found to be relevant to the distribution and population structure of aquatic organisms in freshwater stream networks. These results provide natural resource managers, decision-makers,...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
Alabama,
Arkansas,
Colorado,
Complete,
Predicted population cores (25%, 50% and 75%) of breeding thick-billed longspur (Rhynchophanes mccownii) based on a range-wide random forest distribution model. We summed the probability of occurrence across all pixels in the study region to generate an index of total population. We placed each grid cell prediction in the context of the study area by dividing the individual pixel probability by the total index. Starting with the highest-value pixels, we cumulatively summed the probabilities until a given threshold was met. We set 25, 50 and 75% thresholds to delineate cores as the smallest possible areas containing the highest concentrations of predicted birds.
Predicted population cores (25%, 50% and 75%) of breeding Baird’s sparrow (Ammodramus bairdii) based on a range-wide random forest distribution model. We summed the probability of occurrence across all pixels in the study region to generate an index of total population. We placed each grid cell prediction in the context of the study area by dividing the individual pixel probability by the total index. Starting with the highest-value pixels, we cumulatively summed the probabilities until a given threshold was met. We set 25, 50 and 75% thresholds to delineate cores as the smallest possible areas containing the highest concentrations of predicted birds.
Low-altitude (80 and 100 meters above ground level) digital images were collected at Sage Lot Pond in Waquoit, Massachusetts, two sites on the Mill River in Taunton, MA, Great Marsh in Barnstable, MA, the Wells National Estuarine Research Reserve in Wells, ME, and on the Woods Hole Oceanographic Institution Quissett Campus in Woods Hole, MA using 3DR Solo unoccupied aircraft systems (UAS) during 2018. These images were collected to support science and data needs in wetland research, topographic mapping, and landcover detection at the U.S. Geological Survey Woods Hole Coastal and Marine Science Center. The imagery and associated ground control points can be used to create Digital Elevation Models (DEMs), orthoimages,...
Categories: Data,
Image;
Tags: 3DR Solo quadcopter,
Barnstable,
Barnstable Harbor,
CMHRP,
Coastal/Marine Hazards and Resources Program,
All Conservation Design Elements identified through a multi-year conservation planning effort undertaken by the Appalachian Landscape Conservation Cooperative (LCC). These elements were identified by the program Marxan as meeting collective conservation targets. Datasets include a merged design of all five elements, individual element shapefiles, and a prioritization shapefile (Conservation Design elements outlined by the NatureScape Design that were then placed into a prioritization framework based on Margulis and Pressy 2000).
Categories: Data;
Tags: Academics & scientific researchers,
Appalachian,
Complete,
Conservation NGOs,
Conservation Plan/Design/Framework,
This dataset features suitable habitat at discharges from 15,000 cfs to 100,000 cfs. The spatial extent for floodplain inundation modeling in the lower Trinity River was from Romayor, Texas, to approximately Moss Bluff, Texas. River sections were modeled using steady flow conditions. For the upper section, discharge and stage were both available for the two gages (Romayor USGS 08066500 and Liberty USGS 08067000). For the lower section, the Moss Bluff gage (USGS 08067100) is tidally-influenced, so gage height didn’t correspond to upstream changes in discharge. Depth rasters were exported from HEC-RAS 5.0.0. Since the lower section had large over- and underestimates, depth values were sampled along the intersection...
These heatmaps were created from responses to an ecosystem stressors ranking exercise from 157 conservation professionals working in the Chihuahuan Desert. The ranking exercise was created by the Borderlands Research Institute at Sul Ross State University, in Alpine, Texas. The exercise was sent to conservation partners within the Chihuahuan Desert region in the winter of 2018 and 2019. Participants were asked to identify counties in the US and municipalities in Mexico where they focus their conservation work. Participants were asked to rank the top 3 stressors facing 4 categories in 3 priority ecosystems.Priority Ecosystems:1. Grassland/Desertscrub Ecosystems 2. Riparian/Aquatic Ecosystems3. Montane Woodlands EcosystemsWithin...
Southeast Blueprint v3.0 This is an older version of the Southeast Blueprint. 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 across the southeastern United States and the Caribbean. Extent of Southeast Blueprint v3.0 The Southeast Blueprint covers the entire SECAS geography with the exception of the U.S. Virgin Islands, where the...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: Complete,
Data,
blueprint,
conservation,
environment,
This dataset features inundated areas at discharges from 15,000 cfs to 100,000 cfs. The spatial extent for floodplain inundation modeling in the lower Trinity River was from Romayor, Texas, to approximately Moss Bluff, Texas. River sections were modeled using steady flow conditions. For the upper section, discharge and stage were both available for the two gages (Romayor USGS 08066500 and Liberty USGS 08067000). For the lower section, the Moss Bluff gage (USGS 08067100) is tidally-influenced, so gage height didn’t correspond to upstream changes in discharge. To model river stage specific inundation for the upper section, discharge for each Landsat 8 overpass date was entered as the upstream condition and the corresponding...
The success of Gulf Coast restoration efforts hinge on partners sharing a common vision for conservation framed by explicit biological objectives for specific conservation targets. However, specific and explicit biological objectives that quantify what it means to actually share a common vision remain undefined. Therefore, this project’s goal is to develop explicit biological objectives for a common suite of conservation targets representative of sustainable Gulf habitats across the four Gulf Landscape Conservation Cooperatives (LCCs)(i.e., Gulf Coast Prairie, Gulf Coastal Plains & Ozarks, Peninsular Florida, and South Atlantic) and, for a subset of those species, to use Bayesian Network models to link these biological...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Complete,
Data,
EARTH SCIENCE,
EARTH SCIENCE SERVICES > MODELS,
Previous vegetation mapping project has areas along the boundary between Texas and Oklahoma along the Red River where data was missing (gaps) or where overlaps contained contradictory mapped types (overlaps). These areas were corrected with this product. Gaps were corrected using new image objects attributed with landcover from the previous products and new soils data available from NRCS (gSSURGO). Overlaps were corrected by selecting one of the mapped types identified by previous products based on the state boundary provided by the U. S. Census Bureau (500k).
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Complete,
Conservation NGOs,
Data,
Data.gov Gulf Coast Prairie Landscape Conservation Cooperative,
EARTH SCIENCE,
This dataset represents results from this study attributed to the NHDPlus V2 catchments. Changes in climate occurring throughout the Mississippi River Basin are expected to lead to additional impacts in stream habitats and fish assemblages in multiple ways, including changing changing thermal properties and flow regimes. To manage streams for current impacts and future changes, managers need region-wide information for decision-making and developing proactive management strategies. Our project provides a suite of climate metrics that have been found to be relevant to the distribution and population structure of aquatic organisms in freshwater stream networks. These results provide natural resource managers, decision-makers,...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
Alabama,
Arkansas,
Colorado,
Complete,
These heatmaps show a top 3 invasive animal stressor for riparian areas in the Chihuahuan Desert, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each of the top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were shared via a...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Academics & scientific researchers,
BIOSPHERE,
BIOSPHERE,
COMMUNITY DYNAMICS,
COMMUNITY DYNAMICS,
These heatmaps show a top 3 grassland ecosystem functionality stressor, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each of the top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were shared via a webinar hosted by the Desert...
The Transboundary Madrean Watersheds Landscape Conservation Design (LCD) was developed as part of an effort initiated by the Desert Landscape Conservation Cooperative (Desert LCC). The Desert LCC was a program of the Bureau of Reclamation and the US Fish and Wildlife Service to address large-scale landscape conservation in the southwestern United States and northern Mexico. This collaborative effort brought together managers, stakeholders, communities, and others to work toward sustaining resilient landscapes capable of responding to environmental challenges and supporting natural and cultural values for current and future generations.The Madrean Watersheds LCD area spans the states of Arizona, New Mexico, Sonora,...
Categories: Data;
Tags: Academics & scientific researchers,
Arizona,
Complete,
Conservation NGOs,
Core,
The Gulf Coast Vulnerability Assessment (GCVA) used an expert opinion approach to qualitatively assess the vulnerability of four ecosystems: mangrove, oyster reef, tidal emergent marsh, and barrier islands, and a suite of wildlife species that depend on them. More than 50 individuals participated in the completion of the GCVA, facilitated via Ecosystem and Species Expert Teams. The GCVA made use of the Standardized Index of Vulnerability and Value Assessment (SIVVA) (Reece and Noss 2014) to provide an objective framework for evaluating vulnerability by guiding assessors through a series of questions related to the changes an ecosystem or species might experience due to climate change and other threats. Assessors...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
BARRIER ISLANDS,
BIOSPHERE,
BIOSPHERE,
Barrier Islands,
Fishery and aquatic scientists often assess habitats to understand the distribution, status, stressors, and relative abundance of aquatic resources. Due to the spatial nature of aquatic habitats and the increasing scope of management concerns, using traditional analytical methods for assessment is often difficult.However, advancements in the geographic information systems (GIS) field and related technologies have enabled scientists and managers to more effectively collate, archive, display, analyze, and model spatial and temporal data. For example, spatially explicit habitat assessment models allow for a more robust interpretation of many terrestrial and aquatic datasets, including physical and biological monitoring...
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