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Estuary geomorphic units delineated at a scale of 1:1500 using a combination of (a) 28 August 2014 0.15 meter resolution NPS Elwha PlaneCam aerial imagery; and (b) elevation-colored and hillshaded digital elevation models from USGS backpack/jetski topobathy surveys (5-8 September 2014) for areas < MHHW and aerial lidar surveys (7 November 2014) supplemented with NPS Elwha PlaneCam SfM photogrammetry data (30 September 2014) for elevations > MHHW.
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Estuary geomorphic units delineated at a scale of 1:1500 using a combination of (a) 11 September 2009 1 meter resolution NAIP aerial imagery; and (b) elevation-colored and hillshaded digital elevation models from USGS backpack/jetski topobathy surveys (17 September 2009) for areas < MHHW and aerial lidar surveys (4-6 April 2009) for elevations > MHHW.
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Estuary geomorphic units delineated at a scale of 1:1500 using a combination of (a) 26 August 2013 0.15 meter resolution NPS Elwha PlaneCam aerial imagery; and (b) elevation-colored and hillshaded digital elevation models from USGS backpack/jetski topobathy surveys (16 September 2013) for areas < MHHW and aerial lidar surveys (17 October 2012) supplemented with NPS Elwha PlaneCam SfM photogrammetry data (19 September 2013) for elevations > MHHW.
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These data provide information about the point-centered quarter measurements taken to calculate distance to the nearest shrub and shrub density for random vegetation transects.
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These data provide information about the point-centered quarter measurements taken to calculate distance to the nearest shrub and shrub density for Arizona Grasshopper Sparrow nest plots.
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Insects with morphologically different life stages can face a time tradeoff between foraging and egg-laying behavior when larval and adult resources are spatially segregated. Understanding this tradeoff in the Karner blue butterfly (Lycaeides melissa samuelis) can inform resource management for this federally endangered species under changing resource distribution and availability. We collected data on adult butterfly densities, larval (wild blue lupine, Lupinus perennis) and adult (nectaring plants) resource densities, and adult resource use. We defined “resource use” as anytime a butterfly was found (resting, crawling, feeding, laying eggs, mating) on a resource. Data were collected in eight habitat patches (10...
This data release is currently being revised, and is currently unavailable. This data set includes mosaicked aerial photographs for the Riverine Sand Mining/Scofield Island Restoration (BA-40) project for 2014. This data is used as a basemap habitat classification. If repeated, it can also serve as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a habitat classification was performed on specific projects to help assess landscape changes.
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This habitat model was developed to delineate suitable habitat for coastal cactus wren (Campylorhynchus brunneicapillus) in southern California. A primary purpose of the model is to identify potential restoration sites that may not currently support cactus patches required by wrens, but which are otherwise highly suitable. These are areas that could be planted with cactus to increase wren populations, an important management objective for many land managers. We used the Partitioned Mahalanobis D2 modeling technique to construct alternative models with different combinations of environmental variables. Variables were calculated at each point in the center of a 150 m x 150 m cell in a grid of points across the landscape....
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Long-term environmental management to prevent waterfowl population declines is informed by ecology, movement behavior and habitat use patterns. Extrinsic factors such as human-induced disturbance can cause behavioral changes which may influence movement, and resource needs, driving variation that affects management efficacy. To better understand the relationship between human-based disturbance and animal movement and habitat use, and their potential effects on management, we GPS tracked 15 dabbling ducks in California over about 4-weeks before, during and after the start of a recreational hunting season in October and November 2018. We recorded locations at 2-minute intervals across three separate 24-hour tracking...
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This data release includes three types of data used in habitat modeling, and predictions from the habitat models. (1) Predictor rasters for proportion urban development within 1-km radius, proportion exurban within 1-km radius, vector ruggedness measure (VRM) within 500-m radius, topographic position index (TPI) within 500-m radius. (2) Twenty-nine null models for space use for 29 different golden eagles. (3) Twenty-nine response variable rasters of eagle locations per cell for 29 golden eagles. (4) A raster for predicted population-level probability of habitat selection and contours for predicted population-level probability of habitat selection and contours. These data support the following publication: Tracey,...
In this data set, records (rows) represent GPS locations of ducks marked with telemetry in California and whether locations were overlapping (within 300 m of) locations of marked ducks in other consecutive years (2015-16, 2016-17, and 2017-18) during October - March. Years 2015-16, 2016-17, and 2017-18 represented drought, non-drought, and non-drought, respectively. Matchett and company (2020; see Larger Work section for citation) summarized this data set in tables E3 and E4 to compare overlap of duck locations between consecutive years to investigate interannual habitat stability in relationship with drought, habitat management (daytime roosts and night feeding sites), and in two regions (Suisun Marsh and California...
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Zoonotic diseases are of considerable concern to the human population and viruses such as avian influenza (AIV) threaten food security, wildlife conservation and human health. Wild waterfowl and the natural wetlands they use, are known AIV reservoirs, with birds capable of virus transmission to domestic poultry populations. While infection risk models have linked migration routes and AIV outbreaks, there is a limited understanding of wild waterfowl presence on commercial livestock facilities, and movement patterns linked to natural wetlands. In this dataset, records (rows) represent all analyzed locations of individual waterfowl relative to locations of commercial livestock facilities and habitats. Each row has...
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This data release contains predictions of stream biological condition as defined by the Chesapeake basin-wide index of biotic integrity for stream macroinvertebrates (Chessie BIBI) using Random Forest models with landscape data for small streams (≤ 200 km2 in upstream drainage) across the Chesapeake Bay Watershed (CBW). Predictions were made at eight time periods (2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019) according to changes in landcover using the National Land Cover Database (NLCD). The Chessie BIBI data used were provided by the Interstate Commission on the Potomac River Basin. Uncertainty was calculated using model prediction intervals. For complete data descriptions and data interpretation see associated...
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The U.S. Geological Survey (USGS) collected hydroacoustic data of the St. Croix River adjacent to the Osceola (WI) boat ramp for hydrographic and benthic mapping prior to the reconstruction project implemented by the National Park Service (NPS). The dataset is a collection of still-shot images to be used as ground-truth data for geologic substrate. The still-images (jpeg format) were captured from underwater video using an Aqua-Vu system. For statistical analysis, the videos were sampled at random point locations. A short video captured the surficial geologic sediment type at each location. This collection of images directly corresponds with the geospatial shapefile containing sample location coordinates, a general...
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An inventory (enumeration and taxonomic identification) of diet items consumed by wild-caught black carp, based on the examination of gut contents from fish that were collected in the lower Mississippi River drainage of the U.S.
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...


map background search result map search result map Geomorphic habitat units derived from 2009 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2013 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2014 aerial imagery and elevation data for the Elwha River estuary, Washington Vegetation habitat units derived from 2013 aerial imagery and field data for the Elwha River estuary, Washington PCQ Shrub Data AZ GRSP Nests 2011 to 2013 PCQ Shrub Data AZ GRSP Random 2009 to 2013 Karner blue butterfly densities, resource densities, and resource use at Sandhill Wildlife Area, Wisconsin, 2016 Predictor, null model, response variable, and habitat suitability prediction rasters for a golden eagle hierarchical Bayesian synoptic model used for habitat selection in San Diego County, California. Derived from golden eagle data collected from November 2014-February 2017 Coastal Cactus Wren Habitat Suitability Model for Southern California (2015) SACN Osceola Boat Landing: 2019 River Bed Observations, Still Images Interannual overlap of duck telemetry locations in California during the fall-winter October-March of 2015-16, 2016-17, and 2017-18 Waterfowl Disturbance in California and Nevada (2018) Locations of Pacific Flyway Ducks in and near Commercial Livestock Facilities of the Western USA (2015-2021) Species Distribution Model (SDM) for Achnatherum hymenoides in the Mojave Desert Species Distribution Model (SDM) for Asclepias erosa in the Mojave Desert Species Distribution Model (SDM) for Atriplex hymenelytra in the Mojave Desert Model predictions of biological condition for small streams in the Chesapeake Bay Watershed, USA Capture method, habitat, length, and diet items consumed by wild-caught black carp (Mylopharyngodon piceus) in the Mississippi River Basin, 2017-2019 Glacier Waterton International Peace Park bighorn sheep (Ovis canadensis), 2002-2012 SACN Osceola Boat Landing: 2019 River Bed Observations, Still Images Vegetation habitat units derived from 2013 aerial imagery and field data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2009 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2013 aerial imagery and elevation data for the Elwha River estuary, Washington Geomorphic habitat units derived from 2014 aerial imagery and elevation data for the Elwha River estuary, Washington Karner blue butterfly densities, resource densities, and resource use at Sandhill Wildlife Area, Wisconsin, 2016 PCQ Shrub Data AZ GRSP Nests 2011 to 2013 PCQ Shrub Data AZ GRSP Random 2009 to 2013 Glacier Waterton International Peace Park bighorn sheep (Ovis canadensis), 2002-2012 Predictor, null model, response variable, and habitat suitability prediction rasters for a golden eagle hierarchical Bayesian synoptic model used for habitat selection in San Diego County, California. Derived from golden eagle data collected from November 2014-February 2017 Coastal Cactus Wren Habitat Suitability Model for Southern California (2015) Waterfowl Disturbance in California and Nevada (2018) Species Distribution Model (SDM) for Achnatherum hymenoides in the Mojave Desert Species Distribution Model (SDM) for Asclepias erosa in the Mojave Desert Species Distribution Model (SDM) for Atriplex hymenelytra in the Mojave Desert Capture method, habitat, length, and diet items consumed by wild-caught black carp (Mylopharyngodon piceus) in the Mississippi River Basin, 2017-2019 Model predictions of biological condition for small streams in the Chesapeake Bay Watershed, USA Locations of Pacific Flyway Ducks in and near Commercial Livestock Facilities of the Western USA (2015-2021) Interannual overlap of duck telemetry locations in California during the fall-winter October-March of 2015-16, 2016-17, and 2017-18