Skip to content

Publications

scholar

Google Scholar Profile

emoji key

32. Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community Published in Ecosphere

10.1002/ecs2.3833

Recommended citation: Nagy, R. C., Balch, J. K., Bissell, E. K., Cattau, M. E., Glenn, N. F., Halpern, B. S., Ilangakoon, N., Johnson, B., Joseph, M. B., Marconi, S., O’Riordan, C., Sanovia, J., Swetnam, T. L., Travis, W. R., Wasser, L. A., Woolner, E., Zarnetske, P., Abdulrahim, M., Adler, J., Barnes, G., Bartowitz, K. J., Blake, R. E., Bombaci, S. P., Brun, J., Buchanan, J. D., Chadwick, K. D., Chapman, M. S., Chong, S. S., Chung, Y. A., Corman, J. R., Couret, J., Crispo, E., Doak, T. G., Donnelly, A., Duffy, K. A., Dunning, K. H., Duran, S. M., Edmonds, J. W., Fairbanks, D. E., Felton, A. J., Florian, C. R., Gann, D., Gebhardt, M., Gill, N. S., Gram, W. K., Guo, J. S., Harvey, B. J., Hayes, K. R., Helmus, M. R., Hensley, R. T., Hondula, K. L., Huang, T., Hundertmark, W. J., Iglesias, V., Jacinthe, P.-A., Jansen, L. S., Jarzyna, M. A., Johnson, T. M., Jones, K. D., Jones, M. A., Just, M. G., Kaddoura, Y. O., Kagawa-Vivani, A. K., Kaushik, A., Keller, A. B., King, K. B. S., Kitzes, J., Koontz, M. J., Kouba, P. V., Kwan, W.-Y., LaMontagne, J. M., LaRue, E. A., Li, D., Li, B., Lin, Y., Liptzin, D., Long, W. A., Mahood, A. L., Malloy, S. S., Malone, S. L., McGlinchy, J. M., Meier, C. L., Melbourne, B. A., Mietkiewicz, N., Morisette, J. T., Moustapha, M., Muscarella, C., Musinsky, J., Muthukrishnan, R., Naithani, K., Neely, M., Norman, K., Parker, S. M., Perez Rocha, M., Petri, L., Ramey, C. A., Record, S., Rossi, M. W., SanClements, M., Scholl, V. M., Schweiger, A. K., Seyednasrollah, B., Sihi, D., Smith, K. R., Sokol, E. R., Spaulding, S. A., Spiers, A. I., St. Denis, L. A., Staccone, A. P., Stack Whitney, K., Stanitski, D. M., Stricker, E., Surasinghe, T. D., Thomsen, S. K., Vasek, P. M., Xiaolu, L., Yang, D., Yu, R., Yule, K. M., and Zhu, K.. 2021. Harnessing the NEON data revolution to advance open environmental science with a diverse and data-capable community. Ecosphere 12( 12):e03833. 10.1002/ecs2.3833

31. Movement of sediment through a burned landscape: Sediment volume observations and model comparisons in the San Gabriel Mountains, California, USA Published in Journal of Geophysical Research: Earth Surface

10.1029/2020JF006053

Recommended citation: Rengers FK, LA McGuire, JW Kean, DM Staley, et.al. Movement of sediment through a burned landscape: Sediment volume observations and model comparisons in the San Gabriel Mountains, California, USA - Journal of Geophysical Research: Earth Surface, 2021 https://doi.org/10.1029/2020JF006053

30. UAS-Based Plant Phenotyping for Research and Breeding Applications, 2021 Published in Plant Phenomics

10.34133/2021/9840192

Recommended citation: Wei Guo, Matthew E. Carroll, Arti Singh, Tyson L. Swetnam, Nirav Merchant, Soumik Sarkar, Asheesh K. Singh, Baskar Ganapathysubramanian, "UAS-Based Plant Phenotyping for Research and Breeding Applications", Plant Phenomics, vol. 2021, Article ID 9840192, 21 pages, 2021. https://doi.org/10.34133/2021/9840192

29. Ten simple rules to cultivate transdisciplinary collaboration in data science Published in PLoS Computational Biology

10.1371/journal.pcbi.1008879

Recommended citation: Sahneh F, Balk MA, Kisley M, Chan C-k, Fox M, Nord B, et al. (2021) Ten simple rules to cultivate transdisciplinary collaboration in data science. PLoS Comput Biol 17(5): e1008879. https://doi.org/10.1371/journal.pcbi.1008879

28. On the Use of Standardized Multi-Temporal Indices for Monitoring Disturbance and Ecosystem Moisture Stress across Multiple Earth Observation Systems in the Google Earth Engine Published in Remote Sensing

10.3390/rs13081448

Recommended citation: Swetnam, T.L.; Yool, S.R.; Roy, S.; Falk, D.A. On the Use of Standardized Multi-Temporal Indices for Monitoring Disturbance and Ecosystem Moisture Stress across Multiple Earth Observation Systems in the Google Earth Engine. Remote Sens. 2021, 13, 1448. https://doi.org/10.3390/rs13081448

27. Innovations to expand drone data collection and analysis for rangeland monitoring, 2021 Published in Ecosphere

10.1002/ecs2.3649

Recommended citation: Gillan, J. K., Ponce-Campos, G. E., Swetnam, T. L., Gorlier, A., Heilman, P., & McClaran, M. P. (2021). Innovations to expand drone data collection and analysis for rangeland monitoring. Ecosphere, 12(7). https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecs2.3649

26. Rangewide habitat suitability analysis for the Mexican wolf (Canis lupus baileyi) to identify recovery areas in its historical distribution, 2020 Published in Diversity and Distributions

10.1111/ddi.13222

Recommended citation: Martínez-Meyer, E, González-Bernal, A, Velasco, JA, et al. Rangewide habitat suitability analysis for the Mexican wolf (Canis lupus baileyi) to identify recovery areas in its historical distribution. Divers Distrib. 2021; 27: 642– 654. https://doi.org/10.1111/ddi.13222

25. Ten simple rules for organizing a data science workshop, 2020 Published in PLoS Computational Biology

10.1371/journal.pcbi.1008226

Recommended citation: Ponsero A, Bartelme R, de Oliveira Almeida G, Bigelow A, Tuteja R, Ellingson H, et al. (2020) Ten simple rules for organizing a data science workshop. PLoS Comput Biol 16(10): e1008226. https://doi.org/10.1371/journal.pcbi.1008226

24. Extreme drought and adaptive resource selection by a desert mammal, 2020 Published in Ecosphere

10.1002/ecs2.3175

Recommended citation: Gedir, J. V., Cain III, J. W., Swetnam, T. L., Krausman, P. R., & Morgart, J. R. (2020). Extreme drought and adaptive resource selection by a desert mammal. Ecosphere, 11(7), e03175. https://doi.org/10.1002/ecs2.3175

23. The Rockerverse: Packages and Applications for Containerisation with R, 2020 Published in The R Journal

doi.org/10.32614/rj-2020-007

Recommended citation: Daniel Nüst, Dirk Eddelbuettel, Dom Bennett, Robrecht Cannoodt, Dav Clark, Gergely Daróczi, Mark Edmondson, Colin Fay, Ellis Hughes, Lars Kjeldgaard, Sean Lopp, Ben Marwick, Heather Nolis, Jacqueline Nolis, Hong Ooi, Karthik Ram, Noam Ross, Lori Shepherd, Péter Sólymos, Tyson Lee Swetnam, Nitesh Turaga, Charlotte Van Petegem, Jason Williams, Craig Willis and Nan Xiao , The R Journal (2020) 12:1, pages 437-461.

22. Allometric relationships between primary size measures and sapwood area for six common tree species in snow-dependent ecosystems in the Southwest United States, 2019 Published in Journal of Forest Research

10.1007/s11676-019-01048-y

Recommended citation: Mitra, B., Papuga, S.A., Alexander, M.R., Swetnam, T.L., Abramson, N. Allometric relationships between primary size measures and sapwood area for six common tree species in snow-dependent ecosystems in the Southwest United States. J. For. Res. 31, 2171–2180 (2020). https://doi.org/10.1007/s11676-019-01048-y

21. Estimating Forage Utilization with Drone-Based Photogrammetric Point Clouds Published in Rangeland Ecology & Management, 2019

10.1016/j.rama.2019.02.009

Recommended citation: Gillan, J.K., M.P. McClaran, T.L. Swetnam, P. Heilman, Estimating Forage Utilization with Drone-Based Photogrammetric Point Clouds, Rangeland Ecology & Management,2019, https://doi.org/10.1016/j.rama.2019.02.009.

20. Modeling Riparian Restoration Impacts on the Hydrologic Cycle at the Babacomari Ranch, SE Arizona, USA Published in Water, 2019

10.3390/w11020381

Recommended citation: Norman, L.M.; Callegary, J.B.; Lacher, L.; Wilson, N.R.; Fandel, C.; Forbes, B.T.; Swetnam, T. Modeling Riparian Restoration Impacts on the Hydrologic Cycle at the Babacomari Ranch, SE Arizona, USA. Water 2019, 11, 381. https://doi.org/10.3390/w11020381

19. Jetstream—Early operations performance, adoption, and impacts Published in Concurrency and Computation: Practice and Experience, 2018

10.1002/cpe.4683

Recommended citation: Hancock, D, C Stewart, M Vaugh, et al. Concurrency and Computation: Practice and Experience (2018). https://doi.org/10.1002/cpe.4683

18. A net ecosystem carbon budget for snow dominated forested headwater catchments: linking water and carbon fluxes to critical zone carbon storage Published in Biogeochemistry, 2018

10.1007/s10533-018-0440-3

Recommended citation: Perdrial, J., Brooks, P.D., Swetnam, T. et al. Biogeochemistry (2018). https://doi.org/10.1007/s10533-018-0440-3

17. Which way do you lean? Using slope aspect variations to understand Critical Zone processes and feedbacks Published in Earth Surface Processes & Landforms, 2018

10.1002/esp.4306

Recommended citation: Pelletier, J. D., Barron-Gafford, G. A., Guttierez-Jurado, H., Hinckley, E.-L. S., Istanbulluoglu, E., McGuire, L. A., Niu, G.-Y., Poulos, M. J., Rasmussen, C., Richardson, P., Swetnam, T. L., and Tucker, G. E. (2017) Which way do you lean? Using slope aspect variations to understand Critical Zone processes and feedbacks. Earth Surf. Process. Landforms, doi: 10.1002/esp.4306. http://onlinelibrary.wiley.com/doi/10.1002/esp.4306/full

16. Considerations for achieving cross-platform point cloud data fusion across different dryland ecosystem structural states Published in Frontiers in Plant Sciences, 2018

10.3389/fpls.2017.02144

Recommended citation: Swetnam TL, Gillan JK, Sankey TT, McClaran MP, Nichols MH, Heilman P and McVay J (2018) Considerations for Achieving Cross-Platform Point Cloud Data Fusion across Different Dryland Ecosystem Structural States. Front. Plant Sci. 8:2144.doi: 10.3389/fpls.2017.02144 https://www.frontiersin.org/articles/10.3389/fpls.2017.02144/full

15. Fusing tree-ring and forest inventory data to infer influences on tree growth Published in Ecosphere, 2017

10.1002/ecs2.1889

Recommended citation: Evans, M. E. K., D. A. Falk, A. Arizpe, T. L. Swetnam, F. Babst, and K. E. Holsinger. 2017. Fusing tree-ring and forest inventory data to infer influences on tree growth. Ecosphere 8(7):e01889. 10.1002/ecs2.1889 http://onlinelibrary.wiley.com/doi/10.1002/ecs2.1889/full

14. Topographically driven differences in energy and water constrain climatic control on forest carbon sequestration Published in Ecosphere, 2017

10.1002/ecs2.1797

Recommended citation: Swetnam, T. L., P. D. Brooks, H. R. Barnard, A. A. Harpold, and E. L. Gallo. 2017. Topographically driven differences in energy and water constrain climatic control on forest carbon sequestration. Ecosphere 8(4):e01797. 10.1002/ecs2.1797 http://onlinelibrary.wiley.com/doi/10.1002/ecs2.1797/full

13. Mexican wolf habitat suitability analysis in historical range in the Southwestern US and Mexico Published in US Fish and Wildlife Service Draft Report, 2017

Recommended citation: Martínez-Meyer, E., A. González-Bernal, J. A. Velasco, T. L. Swetnam, Z. Y. González-Saucedo, J. Servín, C. A. López González, N. E. Lara Díaz, C. Aguilar Miguel, C. Chávez García, and J. K. Oakleaf. 2017. Mexican wolf habitat suitability analysis in historical range in the Southwestern US and Mexico. U.S. Fish and Wildlife Service, Region 2, Albuquerque, New Mexico, USA. https://www.fws.gov/southwest/es/mexicanwolf/pdf/20170622_DftBioReport_Appendices.pdf

12. Asymmetry of weathering-limited hillslopes: the importance of diurnal covariation in solar insolation and temperature Published in Earth Surface Processes & Landforms, 2017

10.1002/esp.4136

Recommended citation: Pelletier, J. D., and Swetnam, T. L. (2017) Asymmetry of weathering-limited hillslopes: the importance of diurnal covariation in solar insolation and temperature. Earth Surf. Process. Landforms, 42: 1408–1418. doi: 10.1002/esp.4136. http://onlinelibrary.wiley.com/doi/10.1002/ecs2.1797/full

11. UAV hyperspectral and lidar data and their fusion for arid and semi-arid land vegetation monitoring Published in Remote Sensing in Ecology and Conservation, 2017

doi:10.1002/rse2.44

Recommended citation: Sankey, T. T., McVay, J., Swetnam, T. L., McClaran, M. P., Heilman, P. and Nichols, M. (2017), UAV hyperspectral and lidar data and their fusion for arid and semi-arid land vegetation monitoring. Remote Sens Ecol Conserv. doi:10.1002/rse2.44 http://onlinelibrary.wiley.com/doi/10.1002/rse2.44/full

10. Scaling GIS analysis tasks from the desktop to the cloud utilizing contemporary distributed computing and data management approaches Published in XSEDE Proceedings, 2016

Recommended citation: Swetnam, T. L., J. D. Pelletier, C. Rasmussen, N. R. Callahan, N. Merchant, E. Lyons, M. Rynge, Yan Liu, Viswanath Nandigam, and C. Crosby. "Scaling GIS analysis tasks from the desktop to the cloud utilizing contemporary distributed computing and data management approaches: A case study of project-based learning and cyberinfrastructure concepts." In Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale, p. 21. ACM, 2016. http://dl.acm.org/citation.cfm?id=2949573

9. Tree morphologic plasticity explains deviation from metabolic scaling theory in semi-arid conifer forests, southwestern USA Published in PLOS One, 2016

10.1002/ecs2.1889

Recommended citation: Swetnam TL, O’Connor CD, Lynch AM (2016) Tree Morphologic Plasticity Explains Deviation from Metabolic Scaling Theory in Semi-Arid Conifer Forests, Southwestern USA. PLoS ONE 11(7): e0157582. https://doi.org/10.1371/journal.pone.0157582

8. Working Paper 35: Carbon Cycling in Southwestern Forests: Reservoirs, Fluxes, and the Effects of Fire and Management Published in Ecological Restoration Institute/Southwest Fire Science Consortium, 2016

Recommended citation: Swetnam, T.L. and Falk, D.A. (2015) Working Paper 35: Carbon Cycling in Southwestern Forests: Reservoirs, Fluxes, and the Effects of Fire and Management. Working Paper. Ecological Restoration Institute/ Southwest Fire Science Consortium, Flagstaff, United States. http://openknowledge.nau.edu/2293/

7. Discriminating disturbance from natural variation with LiDAR in semi-arid forests in the southwestern USA Published in Ecosphere, 2015

10.1890/ES14-00384.1

Recommended citation: Swetnam, T. L., A. M. Lynch, D. A. Falk, S. R. Yool, and D. P. Guertin. 2015. Discriminating disturbance from natural variation with LiDAR in semi-arid forests in the southwestern USA. Ecosphere 6(6):97. http://dx.doi.org/10.1890/ES14-00384.1 http://onlinelibrary.wiley.com/doi/10.1890/ES14-00384.1/full

6. Laser vision lidar as a transformative tool to advance critical zone science Published in Hydrology and Earth Systems Science, 2015

10.5194/hess-19-2881-2015

Recommended citation: Harpold, A.A., et al. 2015. Laser vision: lidar as a transformative tool to advance critical zone science, Hydrology and Earth Systems Science https://doi.org/10.5194/hess-19-2881-2015

5. Estimating individual tree mid- and understory rank-size distributions from airborne laser scanning in semi-arid forests Published in Forest Ecology & Management, 2014

[10.1016/j.foreco.2014.07.011]https://doi.org/10.1016/j.foreco.2014.07.011()

Recommended citation: Swetnam T.L., D.A. Falk, A.M. Lynch, S.R. Yool (2014) Estimating individual tree mid- and understory rank-size distributions from airborne laser scanning in semi-arid forests, Forest Ecology and Management 330, 271-282 https://doi.org/10.1016/j.foreco.2014.07.011

4. Application of Metabolic Scaling Theory to reduce error in local maxima tree segmentation from aerial LiDAR Published in Forest Ecology & Management, 2014

10.1016/j.foreco.2014.03.016

Recommended citation: Swetnam T.L., D.A. Falk (2014) Application of metabolic scaling theory to reduce error in local maxima tree segmentation from aerial LiDAR, Forest Ecology and Management 323, 158-167 https://doi.org/10.1016/j.foreco.2014.03.016

3. Coevolution of nonlinear trends in vegetation, soils, and topography with elevation and slope aspect: A case study in the sky islands of southern Arizona Published in Journal of Geophysical Research: Earth Surface, 2013

10.1002/jgrf.20046/full

Recommended citation: Pelletier, J. D., G. A. Barron-Gafford, D. D. Breshears, P. D. Brooks, J. Chorover, M. Durcik, C. J. Harman, T. E. Huxman, K. A. Lohse, R. Lybrand, T. Meixner, J. C. McIntosh, S. A. Papuga, C. Rasmussen, M. Schaap, T. L. Swetnam, and P. A. Troch (2013), Coevolution of nonlinear trends in vegetation, soils, and topography with elevation and slope aspect: A case study in the sky islands of southern Arizona, J. Geophys. Res. Earth Surf., 118, 741–758, doi:10.1002/jgrf.20046.

2. Reconstructing Landscape Pattern of Historical Fires and Fire Regimes Published in Book Chapter: The Landscape Ecology of Fire, 2010

10.1007/978-94-007-0301-8_7

Recommended citation: Swetnam TL, DA Falk, AE Hessl, C Farris (2010) Reconstructing landscape pattern of historical fires and fire regimes, The landscape ecology of fire, 165-192. https://link.springer.com/chapter/10.1007/978-94-007-0301-8_7

1. Comparing selected fire regime condition class (FRCC) and LANDFIRE vegetation model results with tree-ring data Published in International Journal of Wildland Fire, 2010

10.1071/WF08001

Recommended citation: Swetnam, T. L., P.M. Brown (2010) Comparing selected fire regime condition class (FRCC) and LANDFIRE vegetation model results with tree-ring data. International Journal of Wildland Fire 19(1) 1-13 https://doi.org/10.1071/WF08001

Emoji Key

Icon Domain
containers
version control
docker
linux
Python
R
Go language
ten rules
collaborative research
open source initiative
temporal
knowledge graphs
ontology
measurement
raster mapping
vector mapping
temporal mapping
habitat mapping
Google Earth Engine
earth observation systems
airborne remote sensing
small uncrewed aerial systems
eddy covariance tower
snow hydrology
semi-arid hydrology
hydrology
atmospheric science
geomorphology
wildland forest fire
genetics
genomics
plant science
forest ecology
desert ecology
grassland ecology
cattle management
range management
entomology