Overview
I'm a landscape ecologist with specific interests in ornithology, conservation biology, and the connection between people and nature. Most of my research revolves around estimating the effects of global change on wildlife. Of the many facets of global change, I generally focus on changes in climate, land cover, and land use. Within this research, I'm keenly interested in using community science (citizen science) data to address local and global conservation issues.
Global Change and Swiss BirdsDuring my postdoc at the Swiss Ornithological Institute, I investigated the combined effects of climate and land cover change on Swiss birds with a focus on rapidly declining alpine and farmland birds. Over 60 percent of Switzerland is mountainous and Switzerland’s long-term standardized breeding bird surveys, highlighted by two breeding bird atlases in the 1990s and 2010s, are ideal for investigating climate-driven elevational shifts.
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Oregon 2020During my Ph.D. and Postdoc at Oregon State University, I worked on all aspects of the Oregon 2020 project (oregon2020.com). My research at Oregon State focused on 1) how to model species distributions and abundances at fine spatial scales, 2) how to use citizen science data to inform population estimates, and 3) how to use current species-habitat relationships to predict historical populations of birds in the Willamette Valley to estimate over 150 years of change in population since Euro-American settlement.
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Distribution and Density ModelingMuch of my research focuses on how best to model species distributions and abundances. I have examined the importance of environmental scale in species distribution models, the effects of sample size, prevalence, and habitat specialization on SDM performance, and the effects of small sample size within evaluation datasets on two metrics of SDM performance. I have also investigated which of the many available spectral indices that are readily available and easily calculated on Google Earth Engine best predict avian distributions. Recently I helped to develop a new integrated distance sampling model that can use standardized distance sampling counts to adjust and greatly increase the value of unstandardized stationary counts.
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Big Data and Citizen ScienceCitizen science data are now gathered at expansive spatial and temporal scales. I am keenly interested in harnessing the power of citizen science from databases such as eBird, a free online citizen science databased that uses the expertise and enthusiasm of birders around the world. I am currently using a long-term dataset from a professional ornithologist in collaboration with colleagues at Oregon State University and eBird to develop a metric of the reliability of citizen scientist reported abundances. eBird’s current checklist calibration index, does not adequately address the noise in abundance data. I am also collaborating on the development of an algorithm to group eBird checklists into sites that meet the assumption of closure and independence in occupancy and n-mixture models.
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Human Dimensions of WildlifeI collaborate on research to investigate the relationship between avian diversity and human well-being in the Puget Sound including life satisfaction and psychological restoration. I have also examined cognitive biases related to the “Patagonia Picnic Table Effect,” a commonly held belief that rare bird sightings and the subsequent changes in survey effort propagate additional rare bird sightings. Our findings suggest that there is no such effect, yet this is a pervasive idea in the birding culture. The interactions between ecosystems and society and the effects of global change on ecosystem services is the newest and fastest growing aspect of my research.
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Publications
In Prep
Hallman, T.A., J. Guélat, N. Strebel, E. Meier, and T. Sattler. In prep. Elevational signal in decline of farmland bird diversity. Conservation Biology.
Roth, M., T.A. Hallman, N. Ahmed, W.D. Robinson, and R.A. Hutchinson. In prep. Methods to define sites for occupancy models from opportunistic surveys. Methods in Ecology and Evolution.
Schano, C., C. Niffenegger, T. Hallman, J. Kilbride, and F. Korner-Nievergelt. In prep. Population decline in a high-elevation bird species suggests high sensitivity to changing snowmely phenology and habitat composition. Proceedings of the Royal Society B.
Austin, S.H., R.M. Harris, A.S. Lang, V.S. Farrar, A. Booth, C. Lee, T. Feustel, J.S. Krause, R. Viernes, A. Bond, F. Angelier, J.C. Wingfield, A. Colόn-Rodríguez, M.D. MacManes, T.A. Hallman, and R.M. Calisi. In prep. The reproductive and parental care transcriptome of the rock dove. Frontiers in Endocrinology
In Review
Jefferys, K.M., M.G. Betts, W.D. Robinson, J.R. Curtis, T.A. Hallman, A.C. Smith, C. Strevens, and J.A. Gutiérrez. In review. Breeding habitat loss linked to declines in Rufous Hummingbirds. Animal Conservation.
Fleming, W., T.A. Hallman, B. Katz, and K. Biedenweg. In review. Understanding connections between nature’s contributions to people and life satisfaction. Journal of Environmental Psychology.
Kéry, M., K. Kellner, A. Royle, T.A. Hallman, W.D. Robinson, and N. Strebel. In review. Integrated distance sampling models for simple point counts. Ecology.
Hallman, T.A., and W.D. Robinson. In review. In review. Maximizing the value of opportunistic citizen science: evaluating the use of supplemental structured surveys in density and population estimation. Scientific Reports.
2023
Wang, J., L. Hopkins, T. Hallman, W.D. Robinson, and R. Hutchinson. 2023. Cross-validation for geospatial data: estimating generalization performance in geostatistical problems. Transactions on Machine Learning Research.
2022
Fleming, W., T. A. Hallman, J. M. Van Den Hoek, S. Johnson, K. Biedenweg. 2022. Measuring spatial associations between environmental health and beliefs about environmental governance. Environmental Management.
Hallman, T.A., J. Guélat, S. Antoniazza, M. Kéry and T. Sattler. 2022. Rapid shifts in avian elevational distributions and associated species traits. Ecosphere. https://doi.org/10.1002/ecs2.4194
Robinson, W.D, J. Greer*, J. Masseloux*, T.A. Hallman, and J.R. Curtis. 2022. Dramatic declines of Evening Grosbeak numbers at a spring migration stop-over site. Diversity. https://doi.org/10.3390/d14060496
Hopkins, L., T. A. Hallman, J. Kilbride, W. D. Robinson, and R. A. Hutchinson. 2022. A comparison of remotely sensed environmental predictors for avian species distribution models. Landscape Ecology. https://doi.org/10.1007/s10980-022-01406-y
2021
Roth, M., T. Hallman, W. D. Robinson, and R. Hutchinson. 2021. On the role of spatial clustering algorithms in building species distribution models from community science data. Proceedings of the 38th International Conference on Machine Learning. PMLR 139.
Hallman, T. A., and W. D. Robinson. 2021. Building a better baseline to estimate 160 years of avian population change and create historically informed conservation targets. Conservation Biology. https://doi.org/10.1111/cobi.13676
Austin, S. H., R. Harris, A. M. Booth, A. S. Lang, V. S. Farrar, J. S. Krause, T. A. Hallman, M. MacManes, and R. M. Calisi. 2021. Isolating the role of corticosterone in the hypothalamic-pituitary-gonadal genomic stress response. Frontiers in Endocrinology. https://doi.org/10.3389/fendo.2021.632060
Seo, E., R. Hutchinson, X. Fu, C. Li, T. Hallman, J. Kilbride, and W. D. Robinson. 2021. StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling. Association for the Advancement of Artificial Intelligence 35th Conference on Artificial Intelligence.
Robinson, W. D., T. A. Hallman, and R. A. Hutchinson. 2021. Benchmark bird surveys help quantify counting accuracy in a citizen-science database. Frontiers in Ecology and Evolution. https://doi.org/10.3389/fevo.2021.568278
Laney, J. A.*, T. A. Hallman, J. R. Curtis, and W. D. Robinson. 2021. The influence of rare birds on observer effort and subsequent rarity discovery in the American birdwatching community. PeerJ. https://doi.org/10.7717/peerj.10713
2020
Robinson, W. D., T. A. Hallman, and J. R. Curtis. 2020. Benchmarking the avian diversity of Oregon in an era of rapid change. Northwest Naturalist. https://doi.org/10.1898/1051-1733-101.3.180
Hallman, T. A., and W. D. Robinson. 2020. Comparing multi and single--scale species distribution and abundance modeling with the boosted regression tree algorithm. Landscape Ecology. https://doi.org/10.1007/s10980-020-01007-7
Hallman, T. A., and W. D. Robinson. 2020. Deciphering ecology from statistical artifacts: Competing influence of sample size, prevalence, and habitat specialization on species distribution models and how small evaluation datasets can inflate metrics of performance. Diversity and Distributions. https://doi.org/10.1111/ddi.13030
2019
Robinson, W. D., C. Partipilo *, T. A. Hallman, K. Fairchild, and J Fairchild. 2019. Idiosyncratic changes in spring arrival dates of Pacific Northwest migratory birds. PeerJ. https://doi.org/10.7717/peerj.7999
2016
Hallman, T. A., and M. L. Brooks. 2016. Metal-mediated climate susceptibility in a warming world: Larval and latent effects on a model amphibian. Environmental Toxicology and Chemistry. https://doi.org/10.1002/etc.3337
2015
Hallman, T. A., and M. L. Brooks. 2015. The deal with diel: Temperature fluctuations, asymmetrical warming, and ubiquitous metals contaminants. Environmental Pollution. https://doi.org/10.1016/j.envpol.2015.06.005
Peer-Reviewed Teaching Publications
Hallman, T. A., and W. D. Robinson. 2015. Teaching bird identification & vocabulary with Twitter. American Biology Teacher. https://doi.org/10.1525/abt.2015.77.6.458
Extension Publications
Robinson, W. D., T. A. Hallman, and J. R. Curtis. 2020. A decade of counting birds: the Oregon 2020 Project. Oregon Birds. 42:80-84.
Hallman, T. A., and W. D. Robinson. 2019. Five simple steps to maximize the value of your citizen science. The Kestrel. Salem Audubon Society. April.
Hallman, T.A., J. Guélat, N. Strebel, E. Meier, and T. Sattler. In prep. Elevational signal in decline of farmland bird diversity. Conservation Biology.
Roth, M., T.A. Hallman, N. Ahmed, W.D. Robinson, and R.A. Hutchinson. In prep. Methods to define sites for occupancy models from opportunistic surveys. Methods in Ecology and Evolution.
Schano, C., C. Niffenegger, T. Hallman, J. Kilbride, and F. Korner-Nievergelt. In prep. Population decline in a high-elevation bird species suggests high sensitivity to changing snowmely phenology and habitat composition. Proceedings of the Royal Society B.
Austin, S.H., R.M. Harris, A.S. Lang, V.S. Farrar, A. Booth, C. Lee, T. Feustel, J.S. Krause, R. Viernes, A. Bond, F. Angelier, J.C. Wingfield, A. Colόn-Rodríguez, M.D. MacManes, T.A. Hallman, and R.M. Calisi. In prep. The reproductive and parental care transcriptome of the rock dove. Frontiers in Endocrinology
In Review
Jefferys, K.M., M.G. Betts, W.D. Robinson, J.R. Curtis, T.A. Hallman, A.C. Smith, C. Strevens, and J.A. Gutiérrez. In review. Breeding habitat loss linked to declines in Rufous Hummingbirds. Animal Conservation.
Fleming, W., T.A. Hallman, B. Katz, and K. Biedenweg. In review. Understanding connections between nature’s contributions to people and life satisfaction. Journal of Environmental Psychology.
Kéry, M., K. Kellner, A. Royle, T.A. Hallman, W.D. Robinson, and N. Strebel. In review. Integrated distance sampling models for simple point counts. Ecology.
Hallman, T.A., and W.D. Robinson. In review. In review. Maximizing the value of opportunistic citizen science: evaluating the use of supplemental structured surveys in density and population estimation. Scientific Reports.
2023
Wang, J., L. Hopkins, T. Hallman, W.D. Robinson, and R. Hutchinson. 2023. Cross-validation for geospatial data: estimating generalization performance in geostatistical problems. Transactions on Machine Learning Research.
2022
Fleming, W., T. A. Hallman, J. M. Van Den Hoek, S. Johnson, K. Biedenweg. 2022. Measuring spatial associations between environmental health and beliefs about environmental governance. Environmental Management.
Hallman, T.A., J. Guélat, S. Antoniazza, M. Kéry and T. Sattler. 2022. Rapid shifts in avian elevational distributions and associated species traits. Ecosphere. https://doi.org/10.1002/ecs2.4194
Robinson, W.D, J. Greer*, J. Masseloux*, T.A. Hallman, and J.R. Curtis. 2022. Dramatic declines of Evening Grosbeak numbers at a spring migration stop-over site. Diversity. https://doi.org/10.3390/d14060496
Hopkins, L., T. A. Hallman, J. Kilbride, W. D. Robinson, and R. A. Hutchinson. 2022. A comparison of remotely sensed environmental predictors for avian species distribution models. Landscape Ecology. https://doi.org/10.1007/s10980-022-01406-y
2021
Roth, M., T. Hallman, W. D. Robinson, and R. Hutchinson. 2021. On the role of spatial clustering algorithms in building species distribution models from community science data. Proceedings of the 38th International Conference on Machine Learning. PMLR 139.
Hallman, T. A., and W. D. Robinson. 2021. Building a better baseline to estimate 160 years of avian population change and create historically informed conservation targets. Conservation Biology. https://doi.org/10.1111/cobi.13676
Austin, S. H., R. Harris, A. M. Booth, A. S. Lang, V. S. Farrar, J. S. Krause, T. A. Hallman, M. MacManes, and R. M. Calisi. 2021. Isolating the role of corticosterone in the hypothalamic-pituitary-gonadal genomic stress response. Frontiers in Endocrinology. https://doi.org/10.3389/fendo.2021.632060
Seo, E., R. Hutchinson, X. Fu, C. Li, T. Hallman, J. Kilbride, and W. D. Robinson. 2021. StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling. Association for the Advancement of Artificial Intelligence 35th Conference on Artificial Intelligence.
Robinson, W. D., T. A. Hallman, and R. A. Hutchinson. 2021. Benchmark bird surveys help quantify counting accuracy in a citizen-science database. Frontiers in Ecology and Evolution. https://doi.org/10.3389/fevo.2021.568278
Laney, J. A.*, T. A. Hallman, J. R. Curtis, and W. D. Robinson. 2021. The influence of rare birds on observer effort and subsequent rarity discovery in the American birdwatching community. PeerJ. https://doi.org/10.7717/peerj.10713
2020
Robinson, W. D., T. A. Hallman, and J. R. Curtis. 2020. Benchmarking the avian diversity of Oregon in an era of rapid change. Northwest Naturalist. https://doi.org/10.1898/1051-1733-101.3.180
Hallman, T. A., and W. D. Robinson. 2020. Comparing multi and single--scale species distribution and abundance modeling with the boosted regression tree algorithm. Landscape Ecology. https://doi.org/10.1007/s10980-020-01007-7
Hallman, T. A., and W. D. Robinson. 2020. Deciphering ecology from statistical artifacts: Competing influence of sample size, prevalence, and habitat specialization on species distribution models and how small evaluation datasets can inflate metrics of performance. Diversity and Distributions. https://doi.org/10.1111/ddi.13030
2019
Robinson, W. D., C. Partipilo *, T. A. Hallman, K. Fairchild, and J Fairchild. 2019. Idiosyncratic changes in spring arrival dates of Pacific Northwest migratory birds. PeerJ. https://doi.org/10.7717/peerj.7999
2016
Hallman, T. A., and M. L. Brooks. 2016. Metal-mediated climate susceptibility in a warming world: Larval and latent effects on a model amphibian. Environmental Toxicology and Chemistry. https://doi.org/10.1002/etc.3337
2015
Hallman, T. A., and M. L. Brooks. 2015. The deal with diel: Temperature fluctuations, asymmetrical warming, and ubiquitous metals contaminants. Environmental Pollution. https://doi.org/10.1016/j.envpol.2015.06.005
Peer-Reviewed Teaching Publications
Hallman, T. A., and W. D. Robinson. 2015. Teaching bird identification & vocabulary with Twitter. American Biology Teacher. https://doi.org/10.1525/abt.2015.77.6.458
Extension Publications
Robinson, W. D., T. A. Hallman, and J. R. Curtis. 2020. A decade of counting birds: the Oregon 2020 Project. Oregon Birds. 42:80-84.
Hallman, T. A., and W. D. Robinson. 2019. Five simple steps to maximize the value of your citizen science. The Kestrel. Salem Audubon Society. April.