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Folders: ROOT > ScienceBase Catalog > Upper Midwest Environmental Sciences Center (UMESC) > Upper Midwest Environmental Sciences Center Data ( Show direct descendants )

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The sampling locations provided here were selected as a two-stage Generalized Random Tessellation Stratified (GRTS) sample (Stevens & Olsen 2004). The first stage of the GRTS draw used a master sample developed by the North American Bat Monitoring Program (Loeb et al. 2015) from a 10 x 10 km grid placed over the conterminous U.S., Canada, and Mexico. Each 10 x 10 km grid cell (hereafter, master cell) was assigned a GRTS rank by NABat. The rank represents the priority order in which master cells should ideally be sampled. For the second stage of the draw, sampling points within a master cell were selected. Each point was defined as a 30 x 30 m cell of the GIS raster that defined monarch-relevant habitat. Sampling...
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This data file is in long format, comprising time series of hunter abundance and behavior and duck abundance. Hunter information varies by administrative flyway (Mississippi and Central), whereas duck population abundance is summarized for both the Prairie Pothole Region and the continent. Duck information for the Prairie Pothole Region is for the U.S. portion only (Strata 41-49 of the May waterfowl survey) and for 12 duck species, mallard, American wigeon, blue-winged teal, canvasback, gadwall, lesser and greater scaup, green-winged teal, northern pintail, northern shoveler, redhead, ring-necked duck, and ruddy duck.
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Data are population size estimates for monarch butterflies overwintering in Mexico as well as 76 potential stressors and 3 correlates. These stressors include disease, pesticide, herbicide, temperature, precipitation, and habitat loss measured for Mexican overwintering area and Southern, North Central, and Northeastern breeding areas.
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Demographic look up tables allow the translation of a population growth rate, which is estimable from count data, to a set of vital rates parameterizing the birth and survival processes of the population. These tables are used in the BatTool R package to produce realistic simulations of population abundance trajectories given a range of population growth rates.
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These data are comprised of geo-located breeding season occurrences of Blue-winged Warblers (Vermivora cyanoptera) and Golden-winged Warblers (Vermivora chrysoptera) in North America, 1963-2021. These data were collated from eBird (Cornell Lab of Ornithology) and the North American Breeding Bird Survey (US Geological Survey).
These data and code were collected to support the development of a modeling framework that integrates local daily weather conditions and land cover with individual energetics and morphology to simulate mallard (Anas platyrhynchos) and northern pintail (Anas acuta) migration across the Northern Hemisphere.The simulated birds move across a discretized landscape of 20 by 20 mile nodes. Provided data and code allow for a model to simulate avian migration from September 1st, 2019, through December 31st, 2020. There are 6 zip files included in this data release. 1. MigrationModel_2023.zip contains the model code used to simulate bird movement. It requires the files NodeSpecificData_2019.txt and ENV_MAT.csv to function....
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Telemetry data for 59 Northern Leopard Frogs (Lithobates pipiens) breeding in ponds in Houston and Winona Counties, MN; 2001-2002. Agricultural intensification is causing declines in many wildlife species, including Northern Leopard Frogs (Lithobates pipiens). Specific information about frog movements, habitat selection, and sources of mortality can be used to inform conservation-focused land management and acquisition. We studied Northern Leopard Frogs in southeastern Minnesota, part of the Driftless Area ecoregion, characterized by hills and valleys and a mix of agriculture, forests, small towns and farmsteads. In this area, small farm ponds, originally built to control soil erosion are used by the species for...
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The USGS Upper Midwest Environmental Sciences Center developed a Monarch Butterfly Relevant Land Cover data set covering the conterminous United States of America. This data set was used primarily to assist in forecasting the number of milkweed stems on the landscape. Milkweed are required by monarch butterflies for reproduction and one possible cause for the decline in monarch butterfly numbers is thought to be the loss of milkweed. We used the Cropland Data Layer 2015 as well as additional spatially explicit information to develop the monarch relevant land cover data set. Additional sources of information included 2014 United States Department of Agriculture Conservation Reserve Program enrollment locations; railroad,...
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The sampling locations provided here were selected as a two-stage Generalized Random Tessellation Stratified (GRTS) sample (Stevens & Olsen 2004). The first stage of the GRTS draw used a master sample developed by the North American Bat Monitoring Program (Loeb et al. 2015) from a 10 x 10 km grid placed over the conterminous U.S., Canada, and Mexico. Each 10 x 10 km grid cell (hereafter, master cell) was assigned a GRTS rank by NABat. The rank represents the priority order in which master cells should ideally be sampled. For the second stage of the draw, sampling points within a master cell were selected. Each point was defined as a 30 x 30 m cell of the GIS raster that defined monarch-relevant habitat. Sampling...
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This csv contains spatio-temporal predictions for the year of white-nose syndrome/Pseudogymnoascus destructans in support of the manuscript "Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030." Gaussian process models were fitted to monitoring data on the spread of white-nose syndrome in North America from 2007-2022. These models are used to make predictions on a fine spatial grid, giving a forecast (and hindcast) of the spread of white-nose syndrome at any location. The code relies on the GRTS grid for model prediction, which is publicly accessible at https://doi.org/10.5066/p9o75ydv.
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The long decline of the eastern migratory population of monarch butterflies (Danaus plexippus) appears to have abated in recent years and the population now persists at a much-reduced abundance. Stochastic variation in abundance typical of monarch butterflies, and other insects, places this population at heightened risk of quasi-extinction, a level of abundance below which recovery of the migratory behavior is uncertain. These data and results provide insight into the near-term status and trajectory of the eastern migratory population of monarch butterflies. Within the stationarymonarchdata.csv, overwinter[ha] are annual monarch butterfly overwinter area occupied estimates as provided by World Wildlife Fund-Mexico...
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This code supports the manuscript "Gaussian process forecasts Pseudogymnoascus destructans will cover coterminous United States by 2030." The code is used to fit Gaussian process models to publicly accessible monitoring data on the spread of white-nose syndrome in North America. These models are used to make predictions on a fine spatial grid, giving a forecast (and hindcast) of the spread of white-nose syndrome at any location. Also contained in the code is a retrospective cross validation experiment, producing parameter estimates and model scoring over time. The code also relies on the GRTS grid for model prediction, which is publicly accessible at https://doi.org/10.5066/p9o75ydv. Shapefiles such as administrative...


    map background search result map search result map Monarch Threats Analysis: data Habitat selection, movement patterns, and hazards encountered by Northern Leopard Frogs (Lithobates pipiens) in an agricultural landscape: Data Priority sampling locations for the Integrated Monarch Monitoring Program Priority sampling locations in the U.S., Canada, and Mexico for the Integrated Monarch Monitoring Program Monarch Butterfly Relevant Land Cover Data Set for the Conterminous United States of America White-nose syndrome/Pseudogymnoascus destructans spatio-temporal predictions over North America between 2007 and 2030 R code to fit Gaussian process models to white-nose syndrome/Pseudogymnoascus destructans monitoring data across North America from 2006-2022 Blue-winged and Golden-winged Warbler Breeding Season Occurrences in North America, 1932-2021 North American duck populations and the Central U.S. hunters who hunt them Code and data for 'Confirmation of a decline in the summer population of the monarch butterfly due to habitat loss' Eastern migratory monarch butterfly population estimates and associated early warning signals (2006-2022) Habitat selection, movement patterns, and hazards encountered by Northern Leopard Frogs (Lithobates pipiens) in an agricultural landscape: Data Eastern migratory monarch butterfly population estimates and associated early warning signals (2006-2022) Monarch Butterfly Relevant Land Cover Data Set for the Conterminous United States of America Code and data for 'Confirmation of a decline in the summer population of the monarch butterfly due to habitat loss' Blue-winged and Golden-winged Warbler Breeding Season Occurrences in North America, 1932-2021 North American duck populations and the Central U.S. hunters who hunt them White-nose syndrome/Pseudogymnoascus destructans spatio-temporal predictions over North America between 2007 and 2030 R code to fit Gaussian process models to white-nose syndrome/Pseudogymnoascus destructans monitoring data across North America from 2006-2022 Priority sampling locations for the Integrated Monarch Monitoring Program Priority sampling locations in the U.S., Canada, and Mexico for the Integrated Monarch Monitoring Program Monarch Threats Analysis: data