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This dataset is a component of a complete package of products from the Connect the Connecticut project. Connect the Connecticut is a collaborative effort to identify shared priorities for conserving the Connecticut River Watershed for future generations, considering the value of fish and wildlife species and the natural ecosystems they inhabit. Click here to download the full data package, including all documentation.This dataset represents the selection index used to create aquatic ecosystem-based cores. The selection index is a continuous surface in which every cell is assigned a value (0-1) based on its relative ecological integrity within each HUC6 watershed. Specifically, the selection index is equal to the...
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NOTE: Two data download links are provided. The first includes the data described below as a geographic point layer and as a .csv file. The second link is a data package containing: the annual probability of observing one individual, the annual probability of encountering a large flock, and the monthly probability of observing one individual, for the full set of 24 species (in .csv format), and the associated report “Mapping the distribution, abundance and risk assessment of marine birds in the Northwest Atlantic.” To improve display of this data on Data Basin the point data was converted to a raster grid. This map depicts the mean predicted probability of observing at least one individual Black-legged Kittiwake...
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NOTE: Two data download links are provided. The first includes the data described below as a geographic point layer and as a .csv file. The second link is a data package containing: the annual probability of observing one individual, the annual probability of encountering a large flock, and the monthly probability of observing one individual, for the full set of 24 species (in .csv format), and the associated report “Mapping the distribution, abundance and risk assessment of marine birds in the Northwest Atlantic.” To improve display of this data on Data Basin the point data was converted to a raster grid. This map depicts the mean predicted probability of observing at least one individual Surf Scoter (Melanitta...
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This dataset is a component of a complete package of products from the Connect the Connecticut project. Connect the Connecticut is a collaborative effort to identify shared priorities for conserving the Connecticut River Watershed for future generations, considering the value of fish and wildlife species and the natural ecosystems they inhabit. Click here to download the full data package, including all documentation. This dataset represents the regional conductance index, which is a measure of the total potential amount of movement of plants and animals (ecological flow) through a cell from nearby terrestrial core areas at the scale of a few to ten kilometers. Regional conductance increases with the size and proximity...
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This dataset is a component of a complete package of products from the Connect the Connecticut project. Connect the Connecticut is a collaborative effort to identify shared priorities for conserving the Connecticut River Watershed for future generations, considering the value of fish and wildlife species and the natural ecosystems they inhabit. Click here to download the full data package, including all documentation. This dataset represents the integrated probability of development between 2010-2080 based on a custom urban growth model that accounts for the type (low intensity, medium intensity and high intensity), amount and spatial pattern of development. This index represents the probability of development...
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This data set represents the Wildlife Habitat Management Area boundaries. The Wyoming Game and Fish Department, under the direction of the Wyoming Game and Fish Commission, administers lands and public easement areas that are home to vast numbers of fish and wildlife. The department maintains approximately 413,000 acres of land under deed, lease or by agreement and continually strives to acquire new access areas. These areas include access to nearly 225 miles of streams, over 21,000 lake surface areas, and more than 148 miles of road right-of-ways. Management of these lands demonstrates our state's commitment to its precious wildlife heritage and those people who seek to enjoy our wildlife and wild lands.Wyoming's...
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We developed a screening system to identify introduced plant species that are likely to increase wildfire risk, using the Hawaiian Islands to test the system and illustrate how the system can be applied to inform management decisions. Expert-based fire risk scores derived from field experiences with 49 invasive species in Hawai′i were used to train a machine learning model that predicts expert fire risk scores from among 21 plant traits obtained from literature and databases. The model revealed that just four variables can identify species categorized as higher fire risk by experts with 90% accuracy, while low risk species were identified with 79% accuracy. We then used the predictive model to screen 365 naturalized...
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This dataset contains data collected within limestone cedar glades at Stones River National Battlefield (STRI) near Murfreesboro, Tennessee. This dataset contains measurements of volumetric soil water content at certain quadrat locations (points) within 12 selected cedar glades. For points at which soil water content was measured by thermogravimetric analysis (oven-drying), which are points indicated by the code OD in the field SWC_Meth, the soil-water-content values contained in this dataset are identical to those for the matching dates and points in the file STRI_Glades_Soil_Water_Content_OD.shp. For details on the procedure used to calculate volumetric soil water content using the thermogravimetric method, see...
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This dataset contains data collected within limestone cedar glades at Stones River National Battlefield (STRI) near Murfreesboro, Tennessee. This dataset represents interpolated estimates of precipitation (in decimal inches) for 120 quadrat locations (points) within 12 selected cedar glades, for a period of time from 3 days (72 hours) prior to the day of measurement up until the day of measurement. At each field visit, precipitation data was collected at four rain gauges installed at STRI. Rain gauge measurements were obtained on the following dates (which correspond to the fields in the dataset): February 6, 2012; March 5, 2012; April 2, 2012; April 23, 2012; May 25, 2012; June 21, 2012; July 19, 2012; August 23,...


map background search result map search result map Interpolated precipitation data (second interval) for 120 point locations within limestone cedar glades at Stones River National Battlefield near Murfreesboro, Tennessee Volumetric soil water content, measured both by time-domain reflectometry and by thermogravimetric anaysis, for 120 point locations within limestone cedar glades at Stones River National Battlefield near Murfreesboro, Tennessee Predicted Annual Probability of Observing at least One Black-legged Kittiwake Predicted Annual Probability of Observing at least One Surf Scoter Wyoming Game and Fish Department Aquatic Selection Index, CT River Watershed Regional Conductance, CT River Watershed Probability of Development, CT River Watershed Fire Risk Scores from Predictive Model Based on Flammability and Fire Ecology of Non-Native Hawaiian Plants from 2020-2021 Interpolated precipitation data (second interval) for 120 point locations within limestone cedar glades at Stones River National Battlefield near Murfreesboro, Tennessee Volumetric soil water content, measured both by time-domain reflectometry and by thermogravimetric anaysis, for 120 point locations within limestone cedar glades at Stones River National Battlefield near Murfreesboro, Tennessee Aquatic Selection Index, CT River Watershed Regional Conductance, CT River Watershed Probability of Development, CT River Watershed Wyoming Game and Fish Department Predicted Annual Probability of Observing at least One Black-legged Kittiwake Predicted Annual Probability of Observing at least One Surf Scoter Fire Risk Scores from Predictive Model Based on Flammability and Fire Ecology of Non-Native Hawaiian Plants from 2020-2021