Selected peer-reviewed work
* led by graduate student
★ led by undergraduate student
Olsoy, P. J., A. Zaiats, D. M. Delparte, M. J. Germino, B. A. Richardson, S. Roop, A. V. Roser, J. S. Forbey, M. E. Cattau, S. Buerki, K. Reinhardt, and T. T. Caughlin. (2023). High-resolution thermal imagery reveals how interactions between crown structure and genetics shape plant temperature. Remote Sensing in Ecology and Conservation.
Caughlin, T. T., M. Clark, L. W. Jochems, N. Kolarik, A. Zaiats, C. Hall, J. M. Winiarski, B. F. Powers, M. M. Brabec, and K. Hopping. 2023. Socio-ecological interactions promote outbreaks of a harmful invasive plant in an urban landscape. Ecological Solutions and Evidence 4:e12247.
*Hojatimalekshah, A., J. Gongora, J. Enterkine, N. F. Glenn, T. T. Caughlin, H. P. Marshall, and C. A. Hiemstra. 2023. Lidar and deep learning reveal forest structural controls on snowpack. Frontiers in Ecology and the Environment 21:49–54.
Requena-Mullor, J. M., J. Brandt, M. A. Williamson, and T. T. Caughlin. 2023. Human population growth and accessibility from cities shape rangeland condition in the American West. Landscape and Urban Planning 232:104673.
*Zaiats, A., M. E. Cattau, D. S. Pilliod, R. Liu, J. M. Requena-Mullor, and T. T. Caughlin. 2023. Forecasting natural regeneration of sagebrush after wildfires using population models and spatial matching. Landscape Ecology 38:1291–1306.
* Roser, A., J. Enterkine, J. M. Requena-Mullor, N. F. Glenn, A. Boehm, M.-A. de Graaff, P. E. Clark, F. Pierson, and T. T. Caughlin. 2022. Drone imagery protocols to map vegetation are transferable between dryland sites across an elevational gradient. Ecosphere 13:e4330.
* Applestein, C., T. T. Caughlin, and M. J. Germino. 2022. Post-fire seed dispersal of a wind-dispersed shrub declined with distance to seed source, yet had high levels of unexplained variation. AoB Plants 14:plac045.
* Zaiats, A., J. M. Requena-Mullor, M. J. Germino, J. S. Forbey, B. A. Richardson, and T. T. Caughlin. 2022. Spatial models can improve the experimental design of field-based transplant gardens by preventing bias due to neighborhood crowding. Ecology and Evolution 12:e9630.
* Barber, C., A. Zaiats, C. Applestein, L. Rosenthal, and T. T. Caughlin. 2022. Bayesian models for spatially explicit interactions between neighbouring plants. Methods in Ecology and Evolution 13:2788–2798.
* Barber, C., S. J. Graves, J. S. Hall, P. A. Zuidema, J. Brandt, S. A. Bohlman, G. P. Asner, M. Bailón, and T. T. Caughlin. 2022. Species-level tree crown maps improve predictions of tree recruit abundance in a tropical landscape. Ecological Applications 32:e2585.
*Robb, B. C., P. J. Olsoy, J. J. Mitchell, T. T. Caughlin, D. M. Delparte, S. J. Galla, M. R. Fremgen-Tarantino, J. D. Nobler, J. L. Rachlow, L. A. Shipley, and J. S. Forbey. (2022). Near-infrared spectroscopy aids ecological restoration by classifying variation of taxonomy and phenology of a native shrub. Restoration Ecology:e13584.
★ Stoll, E., A. Roopsind, G. Maharaj, S. Velazco, and T. T. Caughlin. (2022). Detecting gold mining impacts on insect biodiversity in a tropical mining frontier with SmallSat imagery. Remote Sensing in Ecology and Conservation 8:379–390..
*Warneke, C. R., T. T. Caughlin, E. I. Damschen, N. M. Haddad, D. J. Levey, and L. A. Brudvig. (2022). Habitat fragmentation alters the distance of abiotic seed dispersal through edge effects and direction of dispersal. Ecology 103:e03586.
Caughlin, T. T., C. Barber, G. P. Asner, N. F. Glenn, S. A. Bohlman, and C. H. Wilson. 2021. Monitoring tropical forest succession at landscape scales despite uncertainty in Landsat time series. Ecological Applications 31:e02208.
*Dumandan, P. K. T., K. L. Bildstein, L. J. Goodrich, A. Zaiats, T. T. Caughlin, and T. E. Katzner. 2021. Shared functional traits explain synchronous changes in long-term count trends of migratory raptors. Global Ecology and Biogeography 30:640–650.
*Hudon, S. F., A. Zaiats, A. Roser, A. Roopsind, C. Barber, B. C. Robb, B. A. Pendleton, M. J. Camp, P. E. Clark, M. M. Davidson, J. Frankel-Bricker, M. Fremgen-Tarantino, J. S. Forbey, E. J. Hayden, L. A. Richards, O. K. Rodriguez, and T. T. Caughlin. 2021. Unifying community detection across scales from genomes to landscapes. Oikos 130:831–843.
★Ram, M. A., T. T. Caughlin, and A. Roopsind. 2021. Active restoration leads to rapid recovery of aboveground biomass but limited recovery of fish diversity in planted mangrove forests of the North Brazil Shelf. Restoration Ecology 29:e13400.
Seaborn, T., K. R. Andrews, C. V. Applestein, T. M. Breech, M. J. Garrett, A. Zaiats, and T. T. Caughlin. 2021. Integrating genomics in population models to forecast translocation success. Restoration Ecology 29:e13395.
*Zaiats, A., B. E. Lazarus, M. J. Germino, M. D. Serpe, B. A. Richardson, S. Buerki, and T. T. Caughlin. 2020. Intraspecific variation in surface water uptake in a perennial desert shrub. Functional Ecology 34:1170–1179.
*Estrada-Villegas, S., M. Bailón, J. S. Hall, S. A. Schnitzer, B. L. Turner, T. Caughlin, and M. van Breugel. 2020. Edaphic factors and initial conditions influence successional trajectories of early regenerating tropical dry forests. Journal of Ecology 108:160–174.
*McCaslin, H. M., T. T. Caughlin, and J. A. Heath. 2020. Long-distance natal dispersal is relatively frequent and correlated with environmental factors in a widespread raptor. Journal of Animal Ecology 89:2077–2088.
Caughlin, T. T., E. I. Damschen, N. M. Haddad, D. J. Levey, C. Warneke, and L. A. Brudvig (2019). Landscape heterogeneity is key to forecasting outcomes of plant reintroduction. Ecological Applications 29:e01850.
Caughlin, T. T., S. J. Graves, G. P. Asner, B. C. Tarbox, and S. A. Bohlman. 2019. High-Resolution Remote Sensing Data as a Boundary Object to Facilitate Interdisciplinary Collaboration. Pages 295–326, Collaboration Across Boundaries for Social-Ecological Systems Science. Springer
Requena-Mullor, J. M., K. C. Maguire, D. J. Shinneman, and T. T. Caughlin 2019. Integrating anthropogenic factors into regional-scale species distribution models-A novel application in the imperiled sagebrush biome. Global Change Biology 00:15.
Forbey, J. S., R. Liu, T. T. Caughlin, M. D. Matocq, J. A. Vucetich, K. D. Kohl, M. D. Dearing, and A. M. Felton 2018. Review: Using physiologically based models to predict population responses to phytochemicals by wild vertebrate herbivores. animal 12:s383–s398.
*Graves, S. J., T. T. Caughlin, G. P. Asner, and S. A. Bohlman 2018. A tree-based approach to biomass estimation from remote sensing data in a tropical agricultural landscape. Remote Sensing of Environment 218:32–43.
Roopsind, A., T. T. Caughlin, P. van der Hout, E. Arets, and F. E. Putz 2018. Trade-offs between carbon stocks and timber recovery in tropical forests are mediated by logging intensity. Global Change Biology 24:2862–2874.