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False positive occupancy analysis predictions with model uncertainty based on summertime data provided to support the three bat species status assessment (SSA) for Myotis lucifigus (MYLU), Myotis septentrionalis (MYSE), and Perimyotis subflavus (PESU). The objectives outlined by the Fish and Wildlife Service's SSA team were to estimate summertime distributions across the entire species range. Statistical analysis included five types of response data requested from the North American Bat Monitoring Program database (NABat): automatically identified stationary acoustic calls, manually vetted stationary acoustic calls, automatically identified mobile acoustic calls, manually vetted mobile acoustic calls, and capture...
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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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Federal land managers need an adaptive management framework to accommodate changing conditions and that allows them to effectively link the appropriate science to natural resource management decision-making across jurisdictional boundaries. FRAME-SIMPPLLE is a collaborative modeling process designed to accomplish this goal by coupling the adaptive capabilities of the SIMPPLLE modeling system with accepted principles of collaboration. The two essential components of the process are FRAME (Framing Research in support of the Adaptive Management of Ecosystems), which creates a collaborative problem-solving environment, and SIMPPLLE (SIMulating Patterns and Processes at Landscape Scales), which is a vegetation dynamics...
False positive occupancy analysis predictions with model uncertainty based on summertime data provided to support the status assessment (SSA) for Perimyotis subflavus (PESU). The objectives outlined by the Fish and Wildlife Service’s SSA team were to estimate summertime distributions across the entire species range. Statistical analysis included five types of response data requested from the North American Bat Monitoring Program database (NABat): automatically identified stationary acoustic calls, manually vetted stationary acoustic calls, automatically identified mobile acoustic calls, manually vetted mobile acoustic calls, and capture records. Statistical analysis was for the summertime distribution modeling,...
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Seventy 1-m x 1-m plots were randomly placed throughout the wetland unit located at Bowdoin National Wildlife Refuge (Montana, USA) in summer of 2015 and the following summer (2016) post-drawdown, 62 plots were surveyed.
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These data contain the results from the North American Bat Monitoring Program's (NABat) integrated species distribution model (iSDM) for tricolored bats (Perimyotis subflavus). The provided tabular data include predictions (with uncertainty) for tricolored bat occupancy probabilities (i.e., probability of presence) based on data from the entire summer season (May 1–Aug 31), averaged from 2017-2022, in each NABat grid cell (5km x 5km scale) across the range of the species. Specifically, predictions represent occupancy probabilities in the pre-volancy season in the summer (May 1 – July 15), i.e., the period of time before juveniles can fly and become detectable. Predictions were produced using an analytical pipeline...
Two example datasets are provided with permission from the National Park Service and the US Fish and Wildlife Service. The cheatgrass data set is an example of ordinal cover classes and the sago pondweed data set is an example of continuous percent cover.
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This sampling frame is a set of grid-based, finite-area frames spanning the offshore areas surrounding Canada, the United States, and Mexico, and is intended for use with the North American Bat Monitoring Program (NABat). A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9XBOCVV). The GRTS survey design algorithm assigns a spatially balanced and randomized ordering (GRTS order) to each cell within its respective framework. Grid cells are prioritized numerically; the lower the number, the higher the sampling priority. Cells can then be selected for monitoring following the GRTS order, ensuring both randomization...
False positive occupancy analysis predictions with model uncertainty based on summertime data provided to support the status assessment (SSA) for Myotis septentrionalis (MYSE). The objectives outlined by the Fish and Wildlife Service’s SSA team were to estimate summertime distributions across the entire species range. Statistical analysis included five types of response data requested from the North American Bat Monitoring Program database (NABat): automatically identified stationary acoustic calls, manually vetted stationary acoustic calls, automatically identified mobile acoustic calls, manually vetted mobile acoustic calls, and capture records. Statistical analysis was for the summertime distribution modeling,...
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The data were collected every year from 2011 until 2017 at the Clarno unit of the John Day Fossil Beds National Monument. The areal plots were placed following a random selection of locations based on the GRTS algorithm. There was a fire documented in 2011 and interest is in assessing whether there is evidence of cheatgrass distribution or abundance increasing in the monument post-fire.
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The spread of white-nose syndrome (WNS) across the eastern United States has raised conservation concerns and provided motivation for efforts to monitor the impacts of this disease. Currently, WNS has not yet been detected in Montana, or any other western state besides Washington, and it is unknown how severe it will impact species in this region once it arrives. Within an occupancy model framework, we analyzed mist netting and acoustic records for eight bat species in Montana to estimate baseline distributions across the state prior to the arrival of WNS. Heterogeneity in the probabilities of occupancy for each species was explained with covariates for forest cover (%), elevation, ruggedness, and average degree...
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Climate affects both the demographics of the Greater sage-grouse bird and the condition and long-term viability of their habitats, including sage-steppe communities. This project builds on collaboration among federal land managers, state wildlife biologists, scientists, and other organizations to create a long-term framework for implementing adaptive management for the sage-grouse. The study examined factors that might be limiting grouse numbers and will investigate components of weather patterns in relation to projected climate change models. Precipitation and temperature, as well as variables such as evaporation and soil moisture, will be considered. Overall, the project focused on (1) providing workshops to foster...


    map background search result map search result map Using a Collaborative Modeling Approach to Explore Climate and Landscape Change in the Northern Rockies and Inform Adaptive Management Integrating Climate and Biological Data into Management Decisions for the Greater Sage-­Grouse and their Habitats Plant cover data sets for implementing beta distribution based models Bat occupancy model predictions for Montana from acoustic and mist net data 2008-2010 Cheatgrass Cover Classes in John Day Fossil Beds, Oregon 2011 - 2017 Percent Cover of Sago Pondweed Bowdoin NWR, Montana 2015 - 2016 Rangewide summertime model predictions for three bat species (Myotis lucifigus, Myotis septentrionalis, and Perimyotis subflavus) from acoustic and mist net data 2010 to 2019 Rangewide summertime model predictions for Perimyotis subflavus from acoustic and mist net data 2010 to 2019 Rangewide summertime model predictions for Myotis septentrionalis from acoustic and mist net data 2010 to 2019 Supplemental Results from: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends North American Bat Monitoring Program (NABat) Integrated Summer Species Distribution Model: Predicted Tricolored Bat Occupancy Probabilities Percent Cover of Sago Pondweed Bowdoin NWR, Montana 2015 - 2016 Cheatgrass Cover Classes in John Day Fossil Beds, Oregon 2011 - 2017 Integrating Climate and Biological Data into Management Decisions for the Greater Sage-­Grouse and their Habitats Plant cover data sets for implementing beta distribution based models Bat occupancy model predictions for Montana from acoustic and mist net data 2008-2010 Using a Collaborative Modeling Approach to Explore Climate and Landscape Change in the Northern Rockies and Inform Adaptive Management North American Bat Monitoring Program (NABat) Integrated Summer Species Distribution Model: Predicted Tricolored Bat Occupancy Probabilities Supplemental Results from: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends Rangewide summertime model predictions for three bat species (Myotis lucifigus, Myotis septentrionalis, and Perimyotis subflavus) from acoustic and mist net data 2010 to 2019 Rangewide summertime model predictions for Perimyotis subflavus from acoustic and mist net data 2010 to 2019 Rangewide summertime model predictions for Myotis septentrionalis from acoustic and mist net data 2010 to 2019