Disclaimer: This information is preliminary and is subject to revision. It is being provided to meet the need for timely best science. The information is provided on the condition that neither the U.S. Geological Survey nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the information.

References

de Valpine, Perry, Christopher Paciorek, Daniel Turek, Nick Michaud, Cliff Anderson-Bergman, Fritz Obermeyer, Claudia Wehrhahn Cortes, Abel Rodrìguez, Duncan Temple Lang, and Sally Paganin. 2022. NIMBLE User Manual (version 0.12.2). https://doi.org/10.5281/zenodo.1211190.
de Valpine, Perry, Daniel Turek, Christopher Paciorek, Cliff Anderson-Bergman, Duncan Temple Lang, and Ras Bodik. 2017. “Programming with Models: Writing Statistical Algorithms for General Model Structures with NIMBLE.” Journal of Computational and Graphical Statistics 26: 403–13. https://doi.org/10.1080/10618600.2016.1172487.
Larsen, David P., Anthony R. Olsen, and Jr. Donald L. Stevens. 2008. “Using a Master Sample to Integrate Stream Monitoring Programs.” Journal of Agricultural, Biological, and Environmental Statistics 13 (3): 243–54.
Loeb, Susan C., Thomas J. Rodhouse, Laura E. Ellison, Cori L. Lausen, Jonathan D. Reichard, Kathryn M. Irvine, Thomas E. Ingersoll, et al. 2015. “A Plan for the North American Bat Monitoring Program (NABat).” Report SRS-208. United States Deparment of Agriculture.
R Core Team. 2024. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Rodhouse, Thomas J., Patricia C. Ormsbee, Kathryn M. Irvine, Lee A. Vierling, Joseph M. Szewczak, and Kerri T. Vierling. 2012. “Assessing the Status and Trend of Bat Populations Across Broad Geographic Regions with Dynamic Distribution Models.” Ecological Applications 22 (4): 1098–1113.
———. 2015. “Establishing Conservation Baselines with Dynamic Distribution Models for Bat Populations Facing Imminent Decline.” Diversity and Distributions, 1–13.
Spiers, Anna I., J. Andrew Royle, Christa L. Torrens, and Maxwell B. Joseph. 2022. “Estimating Species Misclassification with Occupancy Dynamics and Encounter Rates: A Semi-Supervised, Individual-Level Approach.” Methods in Ecology and Evolution 13 (7): 1528–39. https://doi.org/https://doi.org/10.1111/2041-210X.13858.
Stratton, Christian, Kathryn M. Irvine, Katharine M. Banner, Wilson J. Wright, Cori Lausen, and Jason Rae. 2022. “Coupling Validation Effort with in Situ Bioacoustic Data Improves Estimating Relative Activity and Occupancy for Multiple Species with Cross-Species Misclassifications.” Methods in Ecology and Evolution 13 (6): 1288–1303. https://doi.org/https://doi.org/10.1111/2041-210X.13831.
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. “Welcome to the tidyverse.” Journal of Open Source Software 4 (43): 1686. https://doi.org/10.21105/joss.01686.
Wright, Wilson J., Kathryn M. Irvine, Emily S. Almberg, and Andrea R. Litt. 2020. “Modelling Misclassification in Multi‐species Acoustic Data When Estimating Occupancy and Relative Activity.” Methods in Ecology and Evolution 11: 71–81. DOI: 10.1111/2041-210X.13315.