| Comparing multi-and single-scale species distribution and abundance models built with the boosted regression tree algorithm TA Hallman, WD Robinson Landscape ecology 35, 1161-1174, 2020 | 29 | 2020 |
| Deciphering ecology from statistical artefacts: Competing influence of sample size, prevalence and habitat specialization on species distribution models and how small … TA Hallman, WD Robinson Diversity and Distributions 26 (3), 315-328, 2020 | 26 | 2020 |
| The deal with diel: temperature fluctuations, asymmetrical warming, and ubiquitous metals contaminants TA Hallman, ML Brooks Environmental pollution 206, 88-94, 2015 | 26 | 2015 |
| Metal‐mediated climate susceptibility in a warming world: Larval and latent effects on a model amphibian TA Hallman, ML Brooks Environmental Toxicology and Chemistry 35 (7), 1872-1882, 2016 | 24 | 2016 |
| Benchmark bird surveys help quantify counting accuracy in a citizen-science database WD Robinson, TA Hallman, RA Hutchinson Frontiers in Ecology and Evolution 9, 568278, 2021 | 16 | 2021 |
| Isolating the role of corticosterone in the hypothalamic-pituitary-gonadal transcriptomic stress response SH Austin, RM Harris, AM Booth, AS Lang, VS Farrar, JS Krause, ... Frontiers in endocrinology 12, 632060, 2021 | 14 | 2021 |
| Rapid elevational shifts of Switzerland's avifauna and associated species traits TA Hallman, J Guélat, S Antoniazza, M Kéry, T Sattler Ecosphere 13 (8), e4194, 2022 | 13 | 2022 |
| Benchmarking the avian diversity of Oregon in an era of rapid change WD Robinson, TA Hallman, JR Curtis Northwestern Naturalist 101 (3), 180-193, 2020 | 13 | 2020 |
| Stateconet: Statistical ecology neural networks for species distribution modeling E Seo, RA Hutchinson, X Fu, C Li, TA Hallman, J Kilbride, WD Robinson Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 513-521, 2021 | 10 | 2021 |
| A comparison of remotely sensed environmental predictors for avian distributions LM Hopkins, TA Hallman, J Kilbride, WD Robinson, RA Hutchinson Landscape Ecology 37 (4), 997-1016, 2022 | 9 | 2022 |
| The influence of rare birds on observer effort and subsequent rarity discovery in the American birdwatching community JA Laney, TA Hallman, JR Curtis, WD Robinson PeerJ 9, e10713, 2021 | 9 | 2021 |
| Building a better baseline to estimate 160 years of avian population change and create historically informed conservation targets TA Hallman, WD Robinson, JR Curtis, ER Alverson Conservation Biology 35 (4), 1256-1267, 2021 | 8 | 2021 |
| Teaching bird identification & vocabulary with Twitter TA Hallman, WD Robinson The American Biology Teacher 77 (6), 458-461, 2015 | 7 | 2015 |
| Modeling fine-scale avian distributions and densities with multi-scale models: Predicting the past and present TA Hallman | 3 | 2018 |
| Cross-validation for geospatial data: Estimating generalization performance in geostatistical problems J Wang, L Hopkins, T Hallman, WD Robinson, R Hutchinson Transactions on Machine Learning Research, 2023 | 2 | 2023 |
| On the role of spatial clustering algorithms in building species distribution models from community science data M Roth | 2 | 2021 |
| Idiosyncratic changes in spring arrival dates of Pacific Northwest migratory birds WD Robinson, C Partipilo, TA Hallman, K Fairchild, JP Fairchild PeerJ 7, e7999, 2019 | 2 | 2019 |
| Integrated distance sampling models for simple point counts M Kery, JA Royle, T Hallman, WD Robinson, N Strebel, KF Kellner arXiv preprint arXiv:2211.17229, 2022 | 1 | 2022 |
| Dramatic Declines of Evening Grosbeak Numbers at a Spring Migration Stop-Over Site WD Robinson, J Greer, J Masseloux, TA Hallman, JR Curtis Diversity 14 (6), 496, 2022 | 1 | 2022 |
| Understanding connections between nature's contributions to people and life satisfaction W Fleming, T Hallman, B Katz, K Biedenweg Available at SSRN 4149496, 2022 | 1 | 2022 |
W. Douglas RobinsonProfessor of Wildlife Science, Oregon State UniversityVerified email at oregonstate.edu
