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Real-time kinematic survey of the Lower Pearl River bathymetry collected in 2014 and 2015 using: •Leica Smartnet Network •GS 14 Rover •CS 15 Controller •Seafloor single beam echo sounder & transducer Acquisition Strategy: zig zag coverage - not more than ½ channel width between successive bank passes. Duration: surveyed in fall 2014 and 2015. Dates of acquisition are included for 2015 collected data but were not consistently recorded for 2014 collected data. All 2014 data were collected between Sep - Dec 2014. Ping rate: 2014: every sec 2015: every 5 ft of movement Spatial data includes bottom elevation in meters and an NHD area file that has been revised to more accurately reflect the channel configuration....
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File-based data for download:https://www.sciencebase.gov/catalog/item/65565629d34ee4b6e05c482a This layer calculated changes between the first and last time steps from the Sagebrush Conservation Design dataset. Calculations were done by adding the first and second time step rasters using the Raster Calculator tool in ArcGIS Pro. The later raster was reclassified with the following values Non-Rangeland Areas = 0, Core Sagebrush Areas = 10, Growth Opportunity Areas = 20, Other Rangeland Areas = 30. This created a raster showing change with the following values. Non-Rangeland to Non-Rangeland = 0Core to Non-Rangeland =1, Growth to Non-Rangeland = 2,Other to Non-Rangeland = 3Non-Rangeland to Core = 10Core to Core =...
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File-based data for download:https://www.sciencebase.gov/catalog/item/65564a51d34ee4b6e05c47f7 This layer calculated changes between the first and last time steps from the Sagebrush Conservation Design dataset. Calculations were done by adding the first and second time step rasters using the Raster Calculator tool in ArcGIS Pro. The later raster was reclassified with the following values Non-Rangeland Areas = 0, Core Sagebrush Areas = 10, Growth Opportunity Areas = 20, Other Rangeland Areas = 30. This created a raster showing change with the following values. Non-Rangeland to Non-Rangeland = 0Core to Non-Rangeland =1, Growth to Non-Rangeland = 2,Other to Non-Rangeland = 3Non-Rangeland to Core = 10Core to Core =...
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This layer identifies terrestrial Broadly Defined Habitats associated with species of greatest conservation need as described in Wildlife Action Plans in the Mid-South region of the United States. Condition Index scores are assigned on a per-grid-cell basis at 30-meter resolution. Condition Index scores are derived from seven attributes related to desired condition metrics for specific habitats: 1) whether a targeted habitat is present, 2) patch size, 3) patch configuration or distance to nearest patch, 4) a site condition metric, such as basal area for forested landscapes, 5) a second site condition metric, such as overstory canopy cover for forested landscapes, 6) if targeted habitat not present, potential for...
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Cropland conversion is anticipated to continue westward from the Great Plains into the sagebrush (Artemisia spp.) biome – the most intact biome remaining in the conterminous United States. However, relatively little is known about the extent and risk of cropland conversion to sagebrush ecosystems and the landscape scale benefits of easements in averting loss of ecological function. Therefore, our goals were to 1) quantify the cropland area of the sagebrush biome, 2) identify where the highest quality sagebrush rangelands are most at risk to future cropland conversion, and 3) estimate the ecological benefits of conservation easements to adjacent public lands. We found that croplands span 14.4 million ha in the sagebrush...
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This file depicts habitat suitability index score for Balduina atropurpurea. The file has been rescaled to 0-100 values from original 0-1 by applying a factor of 100.
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​This map shows the observed percentage of suitable prescribed burning days in the south-eastern United States during the summer season (June to August) for the years 1980 to 2017.
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This file depicts habitat suitability index score for Balduina atropurpurea. The file has been rescaled to 0-100 values from original 0-1 by applying a factor of 100.
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The purpose of this project was to develop a spatially explicit occupancy model for grizzly bears across the full extent of the CCE. The landscape occupancy model was created using ecological variables compiled for the CCE by the CMP and grizzly bear detection data provided by our partners in Alberta, British Columbia, and Montana.
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File-based data for download:https://www.sciencebase.gov/catalog/item/6556549dd34ee4b6e05c4822 This layer calculated changes between the first and last time steps from the Sagebrush Conservation Design dataset. Calculations were done by adding the first and second time step rasters using the Raster Calculator tool in ArcGIS Pro. The later raster was reclassified with the following values Non-Rangeland Areas = 0, Core Sagebrush Areas = 10, Growth Opportunity Areas = 20, Other Rangeland Areas = 30. This created a raster showing change with the following values. Non-Rangeland to Non-Rangeland = 0Core to Non-Rangeland =1, Growth to Non-Rangeland = 2,Other to Non-Rangeland = 3Non-Rangeland to Core = 10Core to Core =...
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This map shows the projected percentage of suitable prescribed burning days in the south-eastern United States during the summer season (June to August) for the years 2010 to 2099.
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We created ADAPT to help partners make science-informed decisions related to species and habitat prioritization across the Southwest United States. We used Integrated Nested Laplace Approximation (INLA) to analyze the data at a 1-km resolution. We used climate and land use change data generated from CMIP 6 climate models. Count data were from eBird surveys and converted to presence/absence data for analysis. Our model consisted of fixed effects of elevation, land cover type, and effort with random effects for year and site as well as a spatial random effect. We implemented the effect of relative humidity as a spatially-varying coefficient such that the effect of relative humidity on occupancy can vary at each grid...
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A warmer climate has increased the spread of mountain Pine beetle. Historically, mountain pine beetle populations were limited to southern regions due to cold temperature intolerance. However, increasing winter temperatures has allowed the species to spread further north, contributing to the loss of over 1 million ha of forest in the United States and 9 million ha in Canada.Data on mountain pine beetle damage was compiled by CMP Hi5 Working Group technical team. Aerial detection surveys between 1999–2020 for Montana, Alberta, and Waterton Lakes National Park were compiled and assigned a severity score using the USDA Forest Service classification system. Severity is based on crown mortality from aerial images, with...
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​This map shows the observed percentage of suitable prescribed burning days in the south-eastern United States during the fall season (September to November) for the years 1980 to 2017.
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This map shows the projected percentage of suitable prescribed burning days in the south-eastern United States during the spring season (March to May) for the years 2010 to 2099.
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Habitat suitabiity index for Rhynchospora crinipes. Values are rescaled with a 100 factor from original 0-1 range. Full description can be found a the article "Ramirez-Reyes, C. et al. (in review at the Natural Areas Journal). Ensemble species distribution model identifies survey opportunities for at-risk bearded beaksedge (Rhynchospora crinipes) in the southeastern United States"


map background search result map search result map Grizzly Bear Occupancy Model, Relative probability of occupancy in the Crown of the Continent Ecosystem Mid-South Terrestrial Broadly Defined Habitats Condition Index with Barcode Pearl River Bathymetry Collected 2014-2015 Percent Suitable Prescribed Burn Days - Summer 2010-2099 - RCP 4.5 Observed Percent Suitable Prescribed Burn Days - Summer 1980-2017 Observed Percent Suitable Prescribed Burn Days - Fall 1980-2017 Rhynchospora crinipes ensemble species distribution model Balduina atropurpurea ensemble species distribution model Macbridea caroliniana ensemble species distribution model Scutellaria ocmulgee ensemble species distribution model Percent Suitable Prescribed Burn Days - Spring 2010-2099 - RCP 8.5 Torreya taxifolia ensemble species distribution model 2001 - 2006 Sagebrush Ecological Integrity (SEI) Changes 2011 - 2016 Sagebrush Ecological Integrity (SEI) Changes 2016 - 2020 Sagebrush Ecological Integrity (SEI) Changes Reg1GPS_muledeer Whitebark Pine- Mountain Pine Beetle At-risk species distribution analyzer for predicting trends Risk of Cropland Conversion in Sagebrush Rangelands Torreya taxifolia ensemble species distribution model Pearl River Bathymetry Collected 2014-2015 Reg1GPS_muledeer Grizzly Bear Occupancy Model, Relative probability of occupancy in the Crown of the Continent Ecosystem Scutellaria ocmulgee ensemble species distribution model Whitebark Pine- Mountain Pine Beetle Balduina atropurpurea ensemble species distribution model Macbridea caroliniana ensemble species distribution model Rhynchospora crinipes ensemble species distribution model Mid-South Terrestrial Broadly Defined Habitats Condition Index with Barcode Observed Percent Suitable Prescribed Burn Days - Summer 1980-2017 Observed Percent Suitable Prescribed Burn Days - Fall 1980-2017 Risk of Cropland Conversion in Sagebrush Rangelands 2001 - 2006 Sagebrush Ecological Integrity (SEI) Changes 2011 - 2016 Sagebrush Ecological Integrity (SEI) Changes 2016 - 2020 Sagebrush Ecological Integrity (SEI) Changes Percent Suitable Prescribed Burn Days - Summer 2010-2099 - RCP 4.5 Percent Suitable Prescribed Burn Days - Spring 2010-2099 - RCP 8.5 At-risk species distribution analyzer for predicting trends