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Supplemental Results from: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends These data contain the supplementary results corresponding with the journal article: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends by Udell et al. (2024) in Ecological Monographs. These results contain the findings from the North American Bat Monitoring Program's (NABat) "Summer Abundance Status and Trends" analyses which used mobile transect acoustic data for three species (tricolored bat, little brown bat, and big brown bat). Data from the entire summer season (May 1–Aug 31) were used in the modeling process. Here, tabular data for each species include predictions (with uncertainty) of relative abundance (and trends over time) in the summer... Categories: Data; Tags: Abundance, Ecology, North America, Relative abundance, Species distribution model, All tags... Status, Trend, USGS Science Data Catalog (SDC), United States, Wildlife Biology, bats, biota, relative abundance analysis, Fewer tags North American Bat Monitoring Program (NABat) Bayesian Hierarchical Model for Winter Abundance: Predicted Population Estimates (2022 and 2023) The dataset is comprised of historical observations and predictions of winter colony counts at known sites for three bat species (little brown bat, Myotis lucifugus; tricolored bat, Perimyotis subflavus; and big brown bat, Eptesicus fuscus). The dataset consists of two separate but related data files in tabular format (comma-separated values [.csv]). Each data set consists of predicted winter counts derived using winter status and trends modeling methods developed by the North American Bat Monitoring Program (NABat). These two predicted winter count data sets were used to inform NABat summertime status and trends analysis: 1) modeled abundance predictions for all hibernacula for all three species from 2010-2021,... Categories: Data; Tags: Abundance, Ecology, Hibernacula, USGS Science Data Catalog (SDC), United States and Canada, All tags... Wildlife Biology, Winter colony, bats, biota, Fewer tags Priority sampling locations for the Integrated Monarch Monitoring Program 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, All tags... Status and Trends, USGS Science Data Catalog (SDC), United States, biota, Fewer tags In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Winter Colony Count Analysis Through the North American Bat Monitoring Program, Bat Conservation International and U.S Geological Survey (USGS) provided technical and science support to assistance in U.S. Fish and Wildlife Service Species Status Assessment ("SSA") for the northern long-eared bat (Myotis septentrionalis), little brown bat (Myotis lucifugus), and tri-colored bat (Perimyotis subflavus). USGS facilitated the SSA data call providing data archival for repeatable and transparent analyses, provided statistical support to assess the historical, current, an future population status for each of the three species, and developed a demographic projection tool to evaluate future viability of each species under multiple threat scenarios. We... Categories: Data; Tags: Ecology, North America, USGS Science Data Catalog (SDC), USGS-EMA-LOW-IS White-Nose Syndrome, USGS-EMA-LOW-SB SMC: Bats, All tags... USGS-EMA-LOW-SB T&E: Bats, Wildlife Biology, Wildlife Disease, bats, biota, endangered species, white-nose syndrome, Fewer tags North American duck populations and the Central U.S. hunters who hunt them 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, All tags... duck, hunter behavior, hunter harvest, Fewer tags Simulated impacts of feather oiling on avian energetics and migration: R environment model code and raw output This dataset represents a modeling effort intended to explore the impacts of oiling on migratory birds. The purpose of this model is to provide a first principles approach to predict potential biological impacts of altered energetics dynamics in north American migratory birds due to oiling of feathers. This data includes predicted theoretical impacts on migration timing, wintering latitude, starvation rates, and increased food uptake. This data was generated through model implementation in R (R Core Team 2020; Version 4.0.4). Categories: Data; Tags: Columbia Environmental Research Center, Environmental Health, USGS Science Data Catalog (SDC), Wildlife Biology, bioenergetics, All tags... biota, ecotoxicology, migration, migratory birds, modeling, oil spills, population energetics, simulation models, starvation, thermoregulation, Fewer tags Digital Data for Land and climate change in Mexico and Texas reveals small effects on migratory habitat of monarch butterflies (Danaus plexippus). The decline of the iconic monarch butterfly in North America has motivated research on the impacts of land use and land cover (LULC) change and climate variability on monarch habitat and population dynamics. We investigated spring and fall trends in LULC, milkweed and nectar resources over a 20-year period, and ~30 years of climate variables in Mexico and Texas, a key region supporting spring and fall migration during monarchs annual life cycle. We estimated a 2.9% decline in milkweed in Texas, but little to no change in Mexico. Fall and spring nectar resources declined <1% in both countries. Vegetation greenness increased in both the fall and spring in Mexico while the other climate variables, for both countries,... Categories: Data; Tags: Energy Resources, Forestry, Land Use Change, Mexico, Remote Sensing, All tags... USGS Science Data Catalog (SDC), United States, climate change, land cover change, migratory species, milkweed resources, monarch butterfly, nectar resources, Fewer tags Monarch Threats Analysis: data 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), All tags... glyphosate, neonicotinoid, Fewer tags Bat demographic look up tables for BatTool R package 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. Categories: Data; Tags: Bat, BatTool, Demography, USGS Science Data Catalog (SDC), Vital rate, All tags... Wildlife Biology, biota, Fewer tags Blue-winged and Golden-winged Warbler Breeding Season Occurrences in North America, 1932-2021 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, All tags... biogeography, biota, location, maps and atlases, occurrence, presence/absence, species distribution, Fewer tags Code and data for 'Confirmation of a decline in the summer population of the monarch butterfly due to habitat loss' 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), All tags... Wildlife Biology, biota, citizen science, eastern North America, glyphosate, monarch butterfly, Fewer tags Code, input data, and simulated spatiotemporal distributions and energetic profiles for a model of mallard and northern pintail migration across the Northern Hemisphere 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.... Tags: Africa, Asia, Europe, North America, Northern Hemisphere, All tags... South America, USGS Science Data Catalog (SDC), Wildlife Biology, animal tracking, biogeography, biota, birds, computer simulation, ducks, migration (organisms), telemetry, Fewer tags Habitat selection, movement patterns, and hazards encountered by Northern Leopard Frogs (Lithobates pipiens) in an agricultural landscape: Data 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), All tags... Winona County, Minnesota, agriculture, amphibians, farm pond, habitat selection, home range, movement distance, natural pond, telemetry, Fewer tags Monarch Butterfly Relevant Land Cover Data Set for the Conterminous United States of America 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,... Tags: Butterfly, Milkweed, Monarch, USGS Science Data Catalog (SDC), United States, All tags... land use and land cover, Fewer tags Priority sampling locations in the U.S., Canada, and Mexico for the Integrated Monarch Monitoring Program 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, All tags... Status and Trends, United States, biota, Fewer tags White-nose syndrome/Pseudogymnoascus destructans spatio-temporal predictions over North America between 2007 and 2030 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, All tags... Spatio-temporal forecasting, USGS Science Data Catalog (SDC), White-nose syndrome, Wildlife Biology, Fewer tags Eastern migratory monarch butterfly population estimates and associated early warning signals (2006-2022) 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... Categories: Data; Tags: Ecology, Illinois, Mexico, North America, USGS Science Data Catalog (SDC), All tags... Wildlife Biology, biota, extinction, extirpation, Fewer tags R code to fit Gaussian process models to white-nose syndrome/Pseudogymnoascus destructans monitoring data across North America from 2006-2022 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... Tags: Cave-hibernating bats, Disease spread, Epidemiology, Gaussian process, Pseudogymnoascus destructans, All tags... Spatio-temporal forecasting, USGS Science Data Catalog (SDC), White-nose syndrome, Wildlife Biology, Fewer tags