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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...
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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,...
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Migratory species often provide ecosystem service benefits to people in one country while receiving habitat support in other countries. The multinational cooperation necessary to ensure continued provisioning of these benefits by migrational processes may be informed by understanding the benefits that people in different countries derive from migratory wildlife. We conducted stated preferences surveys to estimate the willingness of respondents from Canada, the U.S., and México to invest in conservation for two migratory species, the northern pintail duck (Anas acuta) and the Mexican free-tailed bat (Tadarida brasiliensis mexicana). These data include characteristics of were conservation payments might occur, of...
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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...
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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.
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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.
A central challenge in applied ecology is understanding the effect of anthropogenic fatalities on wildlife populations and predicting which populations may be particularly vulnerable and in greatest need of management attention. We used 3 approaches to investigate potential effects of fatalities from collisions with wind turbines on 14 raptor species for both current (106 GW) and anticipated future (241 GW) levels of installed wind energy capacity in the United States. Our goals were to identify species at relatively high vs low risk of experiencing population declines from turbine collisions and to also compare results generated from these approaches. Two of the approaches used a calculated turbine-caused mortality...
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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).
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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,...
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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...
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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...
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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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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.
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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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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 Demographic and potential biological removal models identify raptor species sensitive to current and future wind energy In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Winter Colony Count Analysis In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Future Projections of Known North American Bat Populations for 3 Species (2020-2060), Processed from the NABat Database Winter Colony Counts from 1990-2020 In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Status and Trends of Known North American Bat Populations for 3 Species from 1990-2020, Processed from the NABat Database Winter Colony Counts In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Gaussian Process Model Predictions for the Spread of White-Nose Syndrome across North America Monarch Butterfly patch and landscape data for Wisconsin, 2018-2019 Multi-species, multi-country analysis reveals North Americans are willing to pay for transborder migratory species conservation, data Simulated impacts of feather oiling on avian energetics and migration: R environment model code and raw output 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 Supplemental Results from: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends Code and data for 'Confirmation of a decline in the summer population of the monarch butterfly due to habitat loss' North American Bat Monitoring Program (NABat) Bayesian Hierarchical Model for Winter Abundance: Predicted Population Estimates (2022 and 2023) Eastern migratory monarch butterfly population estimates and associated early warning signals (2006-2022) Digital Data for Land and climate change in Mexico and Texas reveals small effects on migratory habitat of monarch butterflies (Danaus plexippus). Simulated impacts of feather oiling on avian energetics and migration: R environment model code and raw output Monarch Butterfly patch and landscape data for Wisconsin, 2018-2019 Digital Data for Land and climate change in Mexico and Texas reveals small effects on migratory habitat of monarch butterflies (Danaus plexippus). Eastern migratory monarch butterfly population estimates and associated early warning signals (2006-2022) Demographic and potential biological removal models identify raptor species sensitive to current and future wind energy Code and data for 'Confirmation of a decline in the summer population of the monarch butterfly due to habitat loss' Supplemental Results from: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends Blue-winged and Golden-winged Warbler Breeding Season Occurrences in North America, 1932-2021 North American Bat Monitoring Program (NABat) Bayesian Hierarchical Model for Winter Abundance: Predicted Population Estimates (2022 and 2023) In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Gaussian Process Model Predictions for the Spread of White-Nose Syndrome across North America North American duck populations and the Central U.S. hunters who hunt them In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Future Projections of Known North American Bat Populations for 3 Species (2020-2060), Processed from the NABat Database Winter Colony Counts from 1990-2020 In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Status and Trends of Known North American Bat Populations for 3 Species from 1990-2020, Processed from the NABat Database Winter Colony Counts 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 In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Winter Colony Count Analysis Multi-species, multi-country analysis reveals North Americans are willing to pay for transborder migratory species conservation, data