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ROOT _ScienceBase Catalog __Upper Midwest Environmental Sciences Center (UMESC) ___Upper Midwest Environmental Sciences Center Data ____Birds, Bats, Insects, Amphibians Filters
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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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Canada,
Long-term monitoring,
Mexico,
Monarch Butterfly,
Sampling design,
A dataset consisting of the documented year of first arrival of Pseudogymnoascus destructans (Pd) at 596 locations across North America was used to fit a Gaussian process model. The model allows prediction of the year of first arrival of Pd at arbitrary locations. The included dataset consists of these predictions which span the North American continent.
Categories: Data,
Data Release - In Progress;
Tags: North America,
bats,
extinction and extirpation,
farming,
statistical analysis,
This code file accompanies a manuscript describing associations of monarch breeding occurrence and abundance with landscape and local characteristics at locations in northern and southern Wisconsin. Context for the study can be obtained from the manuscript (Bruce (nee Harnsberger), A.S., Thogmartin, W.E., Trosen, C., Oberhauser, K., and Gratton, C., In-Press, Landscape- and local- level variables affect monarchs at patches in Midwest grasslands: Landscape Ecology), metadata for covariate information, and comments within the code. Users interested in the specific models examined in the course of this study may run this code with the associated data file, monarch2020_021920.csv. Data associated with code were collected...
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.
Categories: Data;
Tags: North America,
Prairie Pothole Region,
USGS Science Data Catalog (SDC),
Wildlife Biology,
biota,
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.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Eastern North America,
Extreme weather,
Forest loss,
Monarch butterfly,
USGS Science Data Catalog (SDC),
The dataset is comprised of historical observations and predictions of winter colony counts at known sites for three bat species (Myotis lucifugus, Myotis septentrionalis, and Perimyotis subflavus). Predictions of abundance are made at each site for each year from 1990 to 2020. Predictions come from three models, including a piecewise constant interpolation model, and two variations of a log linear mixed effects model. These predictions were used in part to inform the SSA for the three bat species. The log linear mixed models regress log(count+1) on one predictor, the year since detection of Pseudogymnoascus destructans (Pd), giving estimates of the population rate of growth (trend) for each site. Flexibility for...
Categories: Data,
Data Release - In Progress;
Tags: North America,
bats,
demography,
extinction and extirpation,
farming,
The dataset is comprised of site-level, regional-level, and species-level future population projections for three bat species (Myotis lucifugus, Myotis septentrionalis, and Perimyotis subflavus) under several future scenarios. Future scenarios can be used to assess population health, and were used in part to inform the SSA for the three bat species. Many different future scenarios are included, defined based on future wind development and white-nose syndrome impacts. Sheets within the table are labeled based on the spatial scale of the projections (species, regional, or site-level), and the scenario column in each sheet indicates which future scenario projections correspond to, labeled based on the severity of wind...
Categories: Data,
Data Release - In Progress;
Tags: North America,
bats,
demography,
extinction and extirpation,
farming,
To ensure habitat restoration efforts are targeted towards areas maximizing monarch population growth, it is important to understand the effects of landscape heterogeneity on monarch occurrence in habitat patches (i.e. grasslands with milkweeds). Over two summers (2018-2019), monarch adults, larvae, and eggs were surveyed at sixty grassland sites in Wisconsin varying in patch size and landscape context. Milkweed density and floral richness were also estimated to characterize local patch quality. Results suggest that optimal sites for monarch habitat restoration are within landscapes with less surrounding habitat and that high milkweed density and floral richness should be conservation goals.
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).
Categories: Data;
Tags: Biological Occurrence,
North America,
USGS Science Data Catalog (SDC),
Vermivora,
Wildlife Biology,
This code describes graphical and analytical comparisons between monarch butterfly survey data collected during summer breeding, fall migration, and winter.
Categories: Data;
Tags: Danaus plexippus,
Ecology,
Land Use Change,
Monarch Butterfly Biosphere Reserve,
USGS Science Data Catalog (SDC),
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....
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Driftless Area,
Driftless Area,
Houston County, Minnesota,
Lithobates pipiens,
USGS Science Data Catalog (SDC),
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,...
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Canada,
Long-term monitoring,
Mexico,
Monarch Butterfly,
Sampling design,
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.
Categories: Data;
Tags: Cave-hibernating bats,
Disease spread,
Epidemiology,
Gaussian process,
Pseudogymnoascus destructans,
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...
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...
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