References

Amatulli, Giuseppe, Sami Domisch, Mao-Ning Tuanmu, Benoit Parmentier, Ajay Ranipeta, Jeremy Malczyk, and Walter Jetz. 2018. “A Suite of Global, Cross-Scale Topographic Variables for Environmental and Biodiversity Modeling.” Scientific Data 5 (March): 180040. https://doi.org/10.1038/sdata.2018.40.

Cao, Chang, Davide Chicco, and Michael M. Hoffman. 2020. “The MCC-F1 Curve: A Performance Evaluation Technique for Binary Classification.” https://doi.org/10.48550/ARXIV.2006.11278.

Chen, Chao, Andy Liaw, and Leo Breiman. 2004. “Using Random Forest to Learn Imbalanced Data.” University of California, Berkeley 110 (1-12): 24.

Courter, Jason R., Ron J. Johnson, Claire M. Stuyck, Brian A. Lang, and Evan W. Kaiser. 2013. “Weekend Bias in Citizen Science Data Reporting: Implications for Phenology Studies.” International Journal of Biometeorology 57 (5): 715–20. https://doi.org/10.1007/s00484-012-0598-7.

Ellis, Murray V., and Jennifer E. Taylor. 2018. “Effects of Weather, Time of Day, and Survey Effort on Estimates of Species Richness in Temperate Woodlands.” Emu-Austral Ornithology 118 (2): 183–92.

Friedl, Mark, and Damien Sulla-Menashe. 2015. “MCD12Q1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V006.” NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MCD12Q1.006.

Greenwood, Jeremy J. D. 2007. “Citizens, Science and Bird Conservation.” Journal of Ornithology 148 (1): 77–124. https://doi.org/10.1007/s10336-007-0239-9.

Guillera-Arroita, Gurutzeta, José J. Lahoz-Monfort, Jane Elith, Ascelin Gordon, Heini Kujala, Pia E. Lentini, Michael A. McCarthy, Reid Tingley, and Brendan A. Wintle. 2015. “Is My Species Distribution Model Fit for Purpose? Matching Data and Models to Applications.” Global Ecology and Biogeography 24 (3): 276–92.

Johnston, Alison, Daniel Fink, Wesley M. Hochachka, and Steve Kelling. 2018. “Estimates of Observer Expertise Improve Species Distributions from Citizen Science Data.” Methods in Ecology and Evolution 9 (1): 88–97.

Johnston, Alison, Wesley M. Hochachka, Matthew E. Strimas-Mackey, Viviana Ruiz Gutierrez, Orin J. Robinson, Eliot T. Miller, Tom Auer, Steve T. Kelling, and Daniel Fink. 2021. “Analytical Guidelines to Increase the Value of Community Science Data: An Example Using eBird Data to Estimate Species Distributions.” Edited by Yoan Fourcade. Diversity and Distributions 27 (7): 1265–77. https://doi.org/10.1111/ddi.13271.

Johnston, Alison, Stuart E. Newson, Kate Risely, Andy J. Musgrove, Dario Massimino, Stephen R. Baillie, and James W. Pearce-Higgins. 2014. “Species Traits Explain Variation in Detectability of UK Birds.” Bird Study 61 (3): 340–50.

Kadmon, Ronen, Oren Farber, and Avinoam Danin. 2004. “Effect of Roadside Bias on the Accuracy of Predictive Maps Produced by Bioclimatic Models.” Ecological Applications 14 (2): 401–13.

Kelling, Steve, Alison Johnston, Daniel Fink, Viviana Ruiz-Gutierrez, Rick Bonney, Aletta Bonn, Miguel Fernandez, et al. 2018. “Finding the Signal in the Noise of Citizen Science Observations.” bioRxiv, May, 326314. https://doi.org/10.1101/326314.

Keyser, Spencer R., Daniel Fink, David Gudex-Cross, Volker C. Radeloff, Jonathan N. Pauli, and Benjamin Zuckerberg. 2023. “Snow Cover Dynamics: An Overlooked yet Important Feature of Winter Bird Occurrence and Abundance Across the United States.” Ecography 2023 (1). https://doi.org/10.1111/ecog.06378.

La Sorte, Frank A., Christopher A. Lepczyk, Jessica L. Burnett, Allen H. Hurlbert, Morgan W. Tingley, and Benjamin Zuckerberg. 2018. “Opportunities and Challenges for Big Data Ornithology.” The Condor 120 (2): 414–26.

Luck, Gary W., Taylor H. Ricketts, Gretchen C. Daily, and Marc Imhoff. 2004. “Alleviating Spatial Conflict Between People and Biodiversity.” Proceedings of the National Academy of Sciences 101 (1): 182–86. https://doi.org/10.1073/pnas.2237148100.

Murphy, Allan H. 1973. “A New Vector Partition of the Probability Score.” Journal of Applied Meteorology 12 (4): 595–600. https://doi.org/10.1175/1520-0450(1973)012<0595:ANVPOT>2.0.CO;2.

Niculescu-Mizil, Alexandru, and Rich Caruana. 2005. “Predicting Good Probabilities with Supervised Learning.” In Proceedings of the 22nd International Conference on Machine Learning, 625–32. ACM.

Oliveira, Camilo Viana, Fabio Olmos, Manoel dos Santos-Filho, and Christine Steiner São Bernardo. 2018. “Observation of Diurnal Soaring Raptors In Northeastern Brazil Depends On Weather Conditions and Time of Day.” Journal of Raptor Research 52 (1): 56–65.

Platt, John. 1999. “Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods.” Advances in Large Margin Classifiers 10 (3): 61–74.

Prendergast, J. R., S. N. Wood, J. H. Lawton, and B. C. Eversham. 1993. “Correcting for Variation in Recording Effort in Analyses of Diversity Hotspots.” Biodiversity Letters, 39–53.

R Core Team. 2023. R: A Language and Environment for Statistical Computing. Manual. Vienna, Austria: R Foundation for Statistical Computing.

Robinson, Orin J., Viviana Ruiz-Gutierrez, and Daniel Fink. 2018. “Correcting for Bias in Distribution Modelling for Rare Species Using Citizen Science Data.” Diversity and Distributions 24 (4): 460–72. https://doi.org/10.1111/ddi.12698.

Robinson, Orin J., Viviana Ruiz-Gutierrez, Daniel Fink, Robert J. Meese, Marcel Holyoak, and Evan G. Cooch. 2018. “Using Citizen Science Data in Integrated Population Models to Inform Conservation Decision-Making.” bioRxiv, 293464.

Sullivan, Brian L., Jocelyn L. Aycrigg, Jessie H. Barry, Rick E. Bonney, Nicholas Bruns, Caren B. Cooper, Theo Damoulas, et al. 2014. “The eBird Enterprise: An Integrated Approach to Development and Application of Citizen Science.” Biological Conservation 169 (January): 31–40. https://doi.org/10.1016/j.biocon.2013.11.003.

Tulloch, Ayesha IT, and Judit K. Szabo. 2012. “A Behavioural Ecology Approach to Understand Volunteer Surveying for Citizen Science Datasets.” Emu-Austral Ornithology 112 (4): 313–25.

Vaughan, I. P., and S. J. Ormerod. 2005. “The Continuing Challenges of Testing Species Distribution Models.” Journal of Applied Ecology 42 (4): 720–30. https://doi.org/10.1111/j.1365-2664.2005.01052.x.