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These data describe the catch and biological data from 363 bottom-set gill-net lifts distributed throughout Lake Michigan (including main basin and Green Bay) between April and November in 1930–1932. Data collected from the R/V Fulmar were recorded in notebooks and are now archived at the U.S. Geological Survey’s Great Lakes Science Center. Each lift included 1–7 gangs of linen gill nets. Each gang comprised 3–5 panels each having a length of 155 m, a height of 1.5 m, and a (stretch-)mesh size of either 60, 64, 67, 70, or 76 mm. The digitization of the Fulmar data notebooks was started in the late 1990s and finished in this study.
Well-established conservation planning principles and techniques framed by geodesign were used to assess the restorability of areas that historically supported coastal wetlands along the U.S. shore of Saginaw Bay. The resulting analysis supported planning efforts to identify, prioritize, and track wetland restoration opportunity and investment in the region. To accomplish this, publicly available data, criteria derived from the regional managers and local stakeholders, and geospatial analysis were used to form an ecological model for spatial prioritization.
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This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
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Knowledge of where energy resources occur and where there is existing development or new development potential, in conjunction with model-predicted golden eagle relative nest site density (Dunk et al. 2019), can be used to identify areas with higher or lower potential resource conflict. Depicted on the map is a 16-class raster that displays the spatial overlap of wind resources (4 classes, low to high) and golden eagle relative nest site density (4 classes, lower to higher). This raster displays the intersection of multi-year mean capacity factors (MCF) for wind turbines and the golden eagle relative nest site density within ecoregion raster. We have divided each probability into equal intervals, and then intersected...
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We produced a time series of maps of habitat structure within wetlands of the Central Valley of California. The structure of open water and tall emergent vegetation, such as Typha spp. and Schoenoplectus spp., is critical for migratory birds. Through field observation and digitization of high resolution imagery we identified the locations of tall emergent vegetation, water, and other land cover. Using a random forest classification, we classified multispectral Landsat 8 imagery 2013-2017. We used images from the fall when most wetlands are flooded and the summer to separate trees and tall emergent vegetation. The final maps show the distribution and extent of tall emergent vegetation within wetlands. Final time...
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This dataset provides information on the current status and various other habitat and descriptive attributes of the native coastal vegetation for seven of the main Hawaiian Islands (i.e., does not include Ni`ihau).
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Land use was quantified within a 4-km radius around 36 apiaries in North Dakota, South Dakota, and Minnesota over two years, 2015-16 and 2016-17. The area (hectares) of Ag (corn, soy, small grains), Grass (pasture, grassland, fallow land, wildflowers, shrub land, and hay land), Wetlands (herbaceous and woody), and Bee crops (alfalfa, canola, sunflower) were quantified around each apiary in each year. Within each apiary, the average change in frames of adult bees among all colonies from June to September was calculated. Additionally, the average September Varroa mite infestation rate, the average adult population size during almond pollination, the count of colonies exhibiting queen events in September, and the count...
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We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory birds. Vegetation maps were created by classifying Landsat imagery from 2007-2011 and 2013-2017. A support vector machine learning classifier was trained using phenology metrics of moist soil seed plants, emergent vegetation, water, and other land cover observed via field surveys and high resolution imagery. Productivity maps of swamp timothy were based on a regression model of seed head weight with Landsat vegetation indices....
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We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory waterfowl. Through field observation and digitization of high resolution imagery we identified the locations of moist soil seed plants, tall emergent vegetation, water, and other land cover. Using a Support Vector Machine classification, we classified multispectral Landsat imagery from 2007-2011 and 2013-2017. We used images from May through August to create phenology metrics. The final datasets were used to train and test the...
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This dataset is the output of a python script/ArcGIS model that identifes dikes as having a difference in elevation above a certain threshold. If the elevation difference was below a certain threshold the area was not considered a dike; however, if the difference in elevation between two points was significantly high then the area was marked as a dike. Areas continuous with eachother were considered part of the same dike. Post processing occured. Users examined the data output, comparing the proposed dike locations to aerial imagery, flowline data, and the DEM. Dikes that appeared to be false positives were deleted from the data set.
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File-based data for download: https://www.sciencebase.gov/catalog/item/632a1290d34e71c6d67b9061Related report with figures: https://doi.org/10.3133/ofr20221081Location and extent of the human modification threat across the sagebrush biome in the United States for 2020. Blue areas (dark and light,representing core sagebrush areas [CSAs] and growth opportunity areas [GOAs], respectively) are locations of high sagebrush ecological integrityand could serve as anchor points in an overall biome-wide strategy. A separate, high-resolution portable document format (PDF) version of this mapis available at https://doi.org/10.3133/ofr20221081 so that stakeholders can zoom in and see the results at much smaller scales. By zooming...
Categories: Data; Tags: Arizona, California, Colorado, Complete, Data, All tags...
This map depicts the proportion of non-Sage-grouse habitat with 18km of each pixel. The map was produced using a moving window analysis on the Distribution of Non-Sage Grouse Habitat in the Conservation Assessment Area with a search radius of 18km. The product of the moving window was the mean pixel value within the window. This map has a 540m resolution.
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We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory birds. For each of the Moist Soil Seed maps from 2007 to 2017, we mapped productivity of swamp timothy where swamp timothy was mapped according to a multiple regression of the average log seed head weight per Landsat pixel to Landsat derived values for green chlorophyll index (NIR/green - 1), swir1 reflectance, red green simple ratio (red/green) and SSURGO derived percent clay (STprod). For areas mapped as watergrass, we mapped...
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The Land Cover Data - Version 1.0 represents a highly thematically detailed land cover map of the U.S. The map legend includes types described by NatureServe's Ecological Systems Classification (Comer et al. 2002) as well as land use classes described in the National Land Cover Dataset 2001 (Homer et al. 2007). This version of the land cover data was used to support the Gap Analysis Project's vertebrate species modeling efforts. These data cover the entire continental U.S. and are a continuous data layer. These raster data have a 30 m x 30 m cell resolution. This land cover data set is considered official foundational data for the GAP species modeling process. The data have been made available provisionally to enhance...
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Wild insect pollination has significant positive effects on pollinator-dependent crop production. To assess the spatial distribution of potential wild insect pollination, we mapped the supply of potential wild pollinator habitat (forest, grassland, wetland, and shrubland land cover types) based on the 2011 National Land Cover Dataset.
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Wild insect pollination has significant positive effects on pollinator-dependent crop production. To assess the spatial distribution of potential wild insect pollination, we mapped the supply of potential wild pollinator habitat (forest, grassland, wetland, and shrubland land cover types) and the demand for pollination (directly pollinator-dependent crops). A foraging travel distance for temperate native bees (1308 meters) was used to identify wild pollinator habitat that is within foraging range of pollinator-dependent crops, and pollinator-dependent crops that are within foraging range of pollinator habitat. Version 2.0 provides an update to the previous version with the inclusion of data from 2013, 2016, and...
This map depicts the distribution of sagebrush and associated shrub-steppe habitat types using readily available data from a variety of source maps from WA, OR, CA, UT, NV, CO, WY, MT, ND, SD, AZ, NM, AB, and BC. Habitat was grouped from map sources that were classified with detailed information on specific sagebrush types, as well as coarse-scale maps that classified vegetation as only "shrub" in the case of ND and the Canadian provinces. This map is a 90-meter grid, but source material included 30 to 90-meter grids, and 1:24,000 and 1:100,000 polygon coverages.
This map was developed to examine multi-scale spatial relationships between percentage of sagebrush and other response variables of interest. A map of sagebrush in the western United States was used as a base layer for a moving window analysis to calculate the percentage of the area classified as sagebrush within the given search radius.
Tributaries support spawning habitats for three of the four major sub-stocks of Lake Erie walleye (Sander vitreus). Despite a history of anthropogenic degradation and the extirpation of other potamodromous species, the Maumee River, OH continues to support one of the largest fish migrations in the Laurentian Great Lakes. To determine if spawning habitat availability and quality could limit production of Maumee River walleye, a habitat suitability model based on river bottom substrates and water depth was created for the lower 51 km of the Maumee River, and the distribution and relative abundance of walleye eggs deposited in a 25-km stretch of river were assessed. Walleye eggs were collected using a diaphragm pump...
Well-established conservation planning principles and techniques framed by geodesign were used to assess the restorability of areas that historically supported coastal wetlands along the U.S. shore of the connecting rivers (Detroit River and St. Clair River). The resulting analysis supported planning efforts to identify, prioritize, and track wetland restoration opportunity and investment in the region. To accomplish this, publicly available data, criteria derived from the regional managers and local stakeholders, and geospatial analysis were used to form an ecological model for spatial prioritization.