Sciences and Exploration Directorate

Shawn Paul Serbin

(Chief)

 shawn.p.serbin@nasa.gov

Org Code: 618

NASA/GSFC
Mail Code: 618
Greenbelt, MD 20771

Employer: NASA

Current Projects


Integrating Field Observations and Multi-scale Remote Sensing to Understand the Environmental and Biological Controls of Tall Shrub Distribution in Arctic Tundra

Vegetation & Soil

Project Leads: Daryl Yang (Future Investigator, Stony Brook University) & Shawn Serbin (Stony Brook University, NASA GSFC)

A NASA FINESST award funding a NASA ABoVE project. https://above.nasa.gov/profiles_/above_projects.html?projType=project&progID=6&projID=4754


DOE Third ARM Mobile Facility (AMF3) Deployment to the Southeastern U.S.

Climate

The Bankhead National Forest (BNF) atmospheric observatory is a long-term mobile observatory being established by the Atmospheric Radiation Measurement (ARM) user facility in northwestern Alabama. The BNF is currently expected to be operational for five years, starting in 2023. Scientists will use data from the BNF to learn about clouds, aerosols, and land-atmosphere interactions, which in turn will lead to improvements in models of the Earth’s climate.

https://www.arm.gov/capabilities/observatories/bnf


A prototype data assimilation system for the terrestrial carbon cycle to support Monitoring, Reporting, and Verification

Modeling and Dynamics

NASA Carbon Monitoring System: https://carbon.nasa.gov/cms/


Multisensor data assimilation to support terrestrial carbon cycle and disturbance Monitoring, Reporting, Verification, and Forecasting

Modeling and Dynamics

NASA Carbon Monitoring System: https://carbon.nasa.gov/cms/

Professional Service


Publications


Refereed

Yang, D., A. McMahon, W. Hantson, J. Anderson, and S. P. Serbin. 2023. <scp>PiCAM</scp>: A Raspberry Pi‐based open‐source, low‐power camera system for monitoring plant phenology in Arctic environments Methods in Ecology and Evolution [10.1111/2041-210x.14231]

Miraglio, T., N. C. Coops, C. I. Wallis, et al. A. L. Crofts, M. Kalacska, M. Vellend, S. P. Serbin, J. P. Arroyo-Mora, and E. Laliberté. 2023. Mapping canopy traits over Québec using airborne and spaceborne imaging spectroscopy Scientific Reports 13 (1): 17179 [10.1038/s41598-023-44384-0]

Boyer, T., E. Bartow-Gillies, A. Abida, et al. M. Ades, R. Adler, S. Adusumilli, W. Agyakwah, B. Ahmasuk, L. S. Aldeco, M. Alexe, E. J. Alfaro, R. P. Allan, A. Allgood, L. M. Alves, J. A. Amador, J. Anderson, B. Andrade, O. Anneville, Y. Aono, A. Arguez, C. Arosio, C. Atkinson, J. A. Augustine, G. Avalos, C. Azorin-Molina, S. A. Backensto, S. Bader, J. Baez, R. Baiman, T. J. Ballinger, A. F. Banwell, M. Y. Bardin, J. Barichivich, J. E. Barnes, S. Barreira, R. L. Beadling, H. E. Beck, E. J. Becker, E. Bekele, G. M. Bellido, N. Bellouin, A. Benedetti, R. Benestad, C. Berne, L. T. Berner, G. H. Bernhard, U. S. Bhatt, A. E. Bhuiyan, S. Bigalke, T. Biló, P. Bissolli, W. Bjerke Jarle, K. Blagrave, E. S. Blake, S. Blenkinsop, J. Blunden, O. Bochníček, O. Bock, X. Bodin, M. Bosilovich, O. Boucher, D. Bozkurt, B. Brettschneider, F. G. Bringas, F. Bringas, D. Buechler, S. A. Buehler, B. Bukunt, B. Calderón, S. J. Camargo, J. Campbell, D. Campos, L. Carrea, B. R. Carter, I. Cetinić, D. P. Chambers, D. Chan, E. Chandler, K.-L. Chang, H. Chen, L. Chen, L. Cheng, V. Y. Cheng, L. Chomiak, H. H. Christiansen, J. R. Christy, E.-S. Chung, L. M. Ciasto, L. Clarke, K. R. Clem, S. Clingan, C. A. Coelho, J. L. Cohen, M. Coldewey-Egbers, S. Colwell, O. R. Cooper, R. C. Cornes, K. Correa, F. Costa, C. Covey, L. Coy, J.-F. Créatux, L. Crhova, T. Crimmins, M. F. Cronin, T. Cropper, M. Crotwell, J. Culpepper, A. P. Cunha, D. Cusicanqui, R. T. Datta, S. M. Davis, V. De Bock, R. A. de Jeu, J. De Laat, B. Decharme, D. Degenstein, R. Delaloye, M. Demircan, C. Derksen, R. Deus, K. R. Dhurmea, H. J. Diamond, S. Dirkse, D. Divine, M. T. Dokulil, M. G. Donat, S. Dong, W. A. Dorigo, C. Drost Jensen, M. L. Druckenmiller, P. Drumond, M. du Plessis, H. A. Dugan, D. Dulamsuren, D. Dunmire, R. J. Dunn, I. Durre, G. Dutton, G. Duveiller, M. Ekici, A. Elias Chereque, M. ElKharrim, H. E. Epstein, J.-C. Espinoza, T. W. Estilow, N. Estrella, N. Fauchereau, R. S. Fausto, R. A. Feely, C. Fenimore, D. Fereday, X. Fettweis, V. E. Fioletov, J. Flemming, C. Fogarty, R. L. Fogt, B. C. Forbes, M. J. Foster, B. A. Franz, N. M. Freeman, H. A. Fricker, S. M. Frith, L. Froidevaux, G. V. Frost, S. Fuhrman, M. Füllekrug, C. Ganter, M. Gao, A. S. Gardner, J. Garforth, J. Garg, S. Gerland, B. Gibbes, S. T. Gille, J. Gilson, K. Gleason, N. Gobron, S. J. Goetz, S. B. Goldenberg, G. Goni, S. Goodman, A. Goto, J.-U. Grooß, A. Gruber, G. Gu, C. “. Guard, S. Hagos, S. Hahn, L. Haimberger, B. D. Hall, B. D. Hamlington, E. Hanna, I. Hanssen-Bauer, D. S. Harnos, I. Harris, Q. He, R. R. Heim, S. Hellström, D. L. Hemming, S. Hendricks, J. Hicks, H. G. Hidalgo, M. Hirschi, S.-P. Ho, W. Hobbs, R. M. Holmes, R. Holzworth, F. Hrbáček, G. Hu, Z.-Z. Hu, B. Huang, H. Huang, D. F. Hurst, I. Ialongo, A. Inness, K. Isaksen, M. Ishii, G. Jadra, S. Jevrejeva, V. O. John, W. Johns, B. Johnsen, B. Johnson, G. C. Johnson, P. D. Jones, T. Jones, S. A. Josey, G. Jumaux, R. Junod, A. Kääb, K. Kabidi, J. W. Kaiser, R. S. Kaler, L. Kaleschke, V. Kaufmann, A. F. Kazemi, L. M. Keller, A. Kellerer-Pirklbauer, M. Kendon, J. Kennedy, E. C. Kent, K. Kerr, V. Khan, M. V. Khiem, R. Kidd, M. J. Kim, S.-J. Kim, Z. Kipling, P. J. Klotzbach, J. A. Knaff, A. Koppa, N. N. Korshunova, B. M. Kraemer, N. A. Kramarova, A. C. Kruger, A. Kruger, A. Kumar, M. L’Heureux, S. La Fuente, A. Laas, Z. M. Labe, R. Lader, M. Lakatos, K. Lakkala, H. P. Lam, X. Lan, P. Landschützer, C. W. Landsea, T. Lang, M. Lankhorst, K. O. Lantz, M. J. Lara, W. Lavado-Casimiro, D. A. Lavers, M. A. Lazzara, T. Leblanc, T.-C. Lee, E. M. Leibensperger, C. Lennard, E. Leuliette, K. H. Leung, J. L. Lieser, T. Likso, I.-I. Lin, J. Lindsey, Y. Liu, R. Locarnini, N. G. Loeb, B. D. Loomis, A. M. Lorrey, D. Loyola, R. Lu, R. Lumpkin, J.-J. Luo, K. Luojus, J. M. Lyman, S. C. Maberly, M. J. Macander, M. MacFerrin, G. A. MacGilchrist, M. L. MacLennan, R. Madelon, A. D. Magee, F. Magnin, J. Mamen, K. D. Mankoff, G. L. Manney, I. Marcinonienė, J. A. Marengo, M. Marjan, A. E. Martínez, R. A. Massom, S.-I. Matsuzaki, L. May, M. Mayer, M. R. Mazloff, S. A. McAfee, C. McBride, M. F. McCabe, J. W. McClelland, M. J. McPhaden, T. R. Mcvicar, C. A. Mears, W. N. Meier, A. Mekonnen, A. Menzel, C. J. Merchant, M. A. Merrifield, M. F. Meyer, T. Meyers, D. E. Mikolajczyk, J. B. Miller, D. G. Miralles, N. Misevicius, A. Mishonov, G. T. Mitchum, B. I. Moat, L. Moesinger, A. Moise, J. Molina-Carpio, G. Monet, S. A. Montzka, T. A. Moon, G. W. Moore, N. Mora, J. Morán, C. Morehen, C. Morice, A. E. Mostafa, T. L. Mote, I. Mrekaj, L. Mudryk, J. Mühle, R. Müller, D. Nance, E. R. Nash, R. S. Nerem, P. A. Newman, J. P. Nicolas, J. J. Nieto, J. Noetzli, B. Noll, T. Norton, K. E. Nyland, J. O’Keefe, N. Ochwat, Y. Oikawa, Y. Okunaka, T. J. Osborn, J. E. Overland, T. Park, M. Parrington, J. K. Parrish, R. J. Pasch, R. Pascual Ramírez, C. Pellet, M. S. Pelto, M. Perčec Tadić, D. K. Perovich, G. N. Petersen, K. Petersen, I. Petropavlovskikh, A. Petty, A. B. Pezza, L. P. Pezzi, C. Phillips, G. K. Phoenix, D. Pierson, I. Pinto, V. Pires, M. Pitts, S. Po-Chedley, P. Pogliotti, K. Poinar, L. Polvani, W. Preimesberger, C. Price, M. Pulkkanen, S. G. Purkey, B. Qiu, K. Quisbert, W. R. Quispe, M. Rajeevan, A. M. Ramos, W. J. Randel, M. Rantanen, M. N. Raphael, J. Reagan, C. Recalde, P. Reid, S. Rémy, A. J. Reyes Kohler, L. Ricciardulli, A. D. Richardson, R. Ricker, D. A. Robinson, M. Robjhon, W. Rocha, M. Rodell, E. Rodriguez Guisado, N. Rodriguez-Fernandez, V. E. Romanovsky, J. Ronchail, M. Rosencrans, K. H. Rosenlof, B. Rösner, H. Rösner, A. Rozanov, J. Rozkošný, F. Rubek, O. O. Rusanovskaya, T. Rutishauser, C. T. Sabeerali, R. Salinas, A. Sánchez-Lugo, M. L. Santee, M. Santini, K. Sato, P. Sawaengphokhai, A. Sayouri, T. Scambos, V. Schenzinger, S. Schimanke, R. W. Schlegel, C. Schmid, M. Schmid, U. Schneider, C. J. Schreck, C. Schultz, _. _, Z. T. Segele, S. Sensoy, S. P. Serbin, M. C. Serreze, A. M. Setiawan, F. Sezaki, S. Sharma, J. D. Sharp, G. Sheffield, J.-R. Shi, L. Shi, A. I. Shiklomanov, N. I. Shiklomanov, S. V. Shimaraeva, R. Shukla, D. A. Siegel, E. A. Silow, F. Sima, A. J. Simmons, D. A. Smeed, A. Smith, S. L. Smith, B. J. Soden, V. Sofieva, E. Souza, T. H. Sparks, J. Spence-Hemmings, R. G. Spencer, S. Spillane, O. P. Sreejith, A. K. Srivastava, P. W. Stackhouse, S. Stammerjohn, R. Stauffer, W. Steinbrecht, A. K. Steiner, J. L. Stella, T. S. Stephenson, P. Stradiotti, S. E. Strahan, D. A. Streletskiy, D. E. Surendran, A. Suslova, T. Svendby, W. Sweet, K. Takahashi, K. Takemura, S. E. Tank, M. A. Taylor, M. Tedesco, S. J. Thackeray, W. M. Thiaw, E. Thibert, R. L. Thoman, A. F. Thompson, P. R. Thompson, X. Tian-Kunze, M.-L. Timmermans, M. A. Timofeyev, S. Tobin, H. Tømmervik, K. Tourpali, L. Trescilo, M. Tretiakov, B. C. Trewin, J. A. Triñanes, A. Trotman, R. E. Truchelut, L. D. Trusel, M. R. Tye, R. van der A, R. van der Schalie, G. van der Schrier, C. J. Van Meerbeeck, A. J. Van Vliet, A. Vazife, P. Verburg, J.-P. Vernier, I. J. Vimont, K. Virts, S. Vivero, D. L. Volkov, H. Vömel, R. S. Vose, D. A. Walker, J. E. Walsh, B. Wang, H. Wang, M. Wang, R. H. Wang, X. Wang, R. Wanninkhof, T. Warnock, M. Weber, M. Webster, A. Wehrlé, C. Wen, T. K. Westberry, M. J. Widlansky, D. N. Wiese, J. D. Wild, J. D. Wille, A. Willems, K. M. Willett, E. Williams, J. Willis, T. Wong, K. M. Wood, R. I. Woolway, P.-P. Xie, D. Yang, X. Yin, Z. Yin, Z. Zeng, H.-M. Zhang, L. Zhang, P. Zhang, L. Zhao, X. Zhou, Z. Zhu, J. R. Ziemke, M. Ziese, S. Zolkos, R. M. Zotta, C.-Z. Zou, J. Allen, A. V. Camper, B. O. Haley, G. Hammer, S. E. Love-Brotak, L. Ohlmann, L. Noguchi, D. B. Riddle, and S. W. Veasey. 2023. State of the Climate in 2022: Introduction Bulletin of the American Meteorological Society 104 (9): S1-S10 [10.1175/2023bamsstateoftheclimate_intro.1]

Mevenkamp, H., N. Wunderling, U. Bhatt, et al. T. Carman, J. Friedemann Donges, H. Genet, S. Serbin, R. Winkelmann, and E. Susanne Euskirchen. 2023. Reducing uncertainty of high-latitude ecosystem models through identification of key parameters Environmental Research Letters 18 (8): 084032 [10.1088/1748-9326/ace637]

Liu, S., Z. Yan, Z. Wang, et al. S. Serbin, M. Visser, Y. Zeng, Y. Ryu, Y. Su, Z. Guo, G. Song, Q. Wu, H. Zhang, K. Cheng, J. Dong, B. C. Hau, P. Zhao, X. Yang, L. Liu, A. Rogers, and J. Wu. 2023. Mapping foliar photosynthetic capacity in sub-tropical and tropical forests with UAS-based imaging spectroscopy: Scaling from leaf to canopy Remote Sensing of Environment 293 113612 [10.1016/j.rse.2023.113612]

Davidson, K. J., J. Lamour, A. McPherran, A. Rogers, and S. P. Serbin. 2023. Seasonal trends in leaf‐level photosynthetic capacity and water use efficiency in a North American Eastern deciduous forest and their impact on canopy‐scale gas exchange New Phytologist 240 (1): 138-156 [10.1111/nph.19137]

Lamour, J., K. J. Davidson, K. S. Ely, et al. G. Le Moguédec, J. A. Anderson, Q. Li, O. Calderón, C. D. Koven, S. J. Wright, A. P. Walker, S. P. Serbin, and A. Rogers. 2023. The effect of the vertical gradients of photosynthetic parameters on the <scp>CO<sub>2</sub></scp> assimilation and transpiration of a Panamanian tropical forest New Phytologist 238 (6): 2345-2362 [10.1111/nph.18901]

Raiho, A. M., K. Cawse‐Nicholson, A. Chlus, et al. J. Dozier, M. Gierach, K. Miner, F. Schneider, D. Schimel, S. Serbin, A. N. Shiklomanov, D. R. Thompson, P. A. Townsend, S. Zareh, M. Skiles, and B. Poulter. 2023. Exploring Mission Design for Imaging Spectroscopy Retrievals for Land and Aquatic Ecosystems Journal of Geophysical Research: Biogeosciences 128 (4): [10.1029/2022jg006833]

Yang, D., B. D. Morrison, W. Hanston, et al. A. McMahon, L. Baskaran, D. J. Hayes, C. E. Miller, and S. P. Serbin. 2023. Integrating very-high-resolution UAS data and airborne imaging spectroscopy to map the fractional composition of Arctic plant functional types in Western Alaska Remote Sensing of Environment 286 113430 [10.1016/j.rse.2022.113430]

Dickman, L. T., A. K. Jonko, R. R. Linn, et al. I. Altintas, A. L. Atchley, A. Bär, A. D. Collins, J. Dupuy, M. R. Gallagher, J. K. Hiers, C. M. Hoffman, S. M. Hood, M. D. Hurteau, W. M. Jolly, A. Josephson, E. L. Loudermilk, W. Ma, S. T. Michaletz, R. H. Nolan, J. J. O'Brien, R. A. Parsons, R. Partelli‐Feltrin, F. Pimont, V. Resco de Dios, J. Restaino, Z. J. Robbins, K. A. Sartor, E. Schultz‐Fellenz, S. P. Serbin, S. Sevanto, J. K. Shuman, C. H. Sieg, N. S. Skowronski, D. R. Weise, M. Wright, C. Xu, M. Yebra, and N. Younes. 2023. Integrating plant physiology into simulation of fire behavior and effects New Phytologist 238 (3): 952-970 [10.1111/nph.18770]

Wolfe, B. T., M. Detto, Y. Zhang, et al. K. J. Anderson‐Teixeira, T. Brodribb, A. D. Collins, C. Crawford, L. T. Dickman, K. S. Ely, J. Francisco, P. D. Gurry, H. Hancock, C. T. King, A. R. Majekobaje, C. J. Mallett, N. G. McDowell, Z. Mendheim, S. T. Michaletz, D. B. Myers, T. J. Price, A. Rogers, L. Sack, S. P. Serbin, Z. Siddiq, D. Willis, J. Wu, J. Zailaa, and S. J. Wright. 2023. Leaves as bottlenecks: The contribution of tree leaves to hydraulic resistance within the soil−plant−atmosphere continuum Plant, Cell &amp; Environment 46 (3): 736-746 [10.1111/pce.14524]

Poulter, B., B. Currey, L. Calle, et al. J. Brookshire, P. Campbell, A. Chlus, K. Cawse-Nicholson, K. F. Huemmrich, C. E. Miller, K. Miner, Z. A. Pierrat, D. Schimel, S. P. Serbin, A. N. Shiklomanov, E. N. Stavros, P. A. Townsend, D. R. Thompson, Z. Zhang, C. Amaral, A. Raiho, J. Stutz, and B. Poulter. 2023. Simulating Global Dynamic Surface Reflectances for Imaging Spectroscopy Spaceborne Missions: LPJ-PROSAIL Journal of Geophysical Research - Biogeosciences 128 (1): [10.1029/2022JG006935]

Yang, D., B. D. Morrison, K. J. Davidson, et al. J. Lamour, Q. Li, P. R. Nelson, W. Hantson, D. J. Hayes, T. L. Swetnam, A. McMahon, J. Anderson, K. S. Ely, A. Rogers, and S. P. Serbin. 2022. Remote sensing from unoccupied aerial systems: Opportunities to enhance Arctic plant ecology in a changing climate Journal of Ecology 110 (12): 2812-2835 [10.1111/1365-2745.13976]

Thoman, R. L., M. L. Druckenmiller, T. A. Moon, et al. L. M. Andreassen, E. Baker, T. J. Ballinger, L. T. Berner, G. H. Bernhard, U. S. Bhatt, J. W. Bjerke, L. Boisvert, J. E. Box, B. Brettschneider, D. Burgess, A. H. Butler, J. Cappelen, H. H. Christiansen, B. Decharme, C. Derksen, D. Divine, D. S. Drozdov, C. A. Elias, H. E. Epstein, S. L. Farrell, R. S. Fausto, X. Fettweis, V. E. Fioletov, B. C. Forbes, G. V. Frost, S. Gerland, S. J. Goetz, J.-U. Grooß, C. Haas, E. Hanna, B. I. Hanssen, M. M. Heijmans, S. Hendricks, I. Ialongo, K. Isaksen, C. D. Jensen, B. Johnsen, L. Kaleschke, A. L. Kholodov, S.-J. Kim, J. Kohler, N. J. Korsgaard, Z. Labe, K. Lakkala, M. J. Lara, S. H. Lee, B. Loomis, B. Luks, K. Luojus, M. J. Macander, R. Magnússon, G. V. Malkova, K. D. Mankoff, G. L. Manney, W. N. Meier, T. Mote, L. Mudryk, R. Müller, K. E. Nyland, J. E. Overland, F. Pálsson, T. Park, C. L. Parker, D. Perovich, A. Petty, G. K. Phoenix, J. E. Pinzon, R. Ricker, V. E. Romanovsky, S. P. Serbin, G. Sheffield, N. I. Shiklomanov, S. L. Smith, K. M. Stafford, A. Steer, D. A. Streletskiy, T. Svendby, M. Tedesco, L. Thomson, T. Thorsteinsson, X. Tian-Kunze, M.-L. Timmermans, H. Tømmervik, M. Tschudi, C. J. Tucker, D. A. Walker, J. E. Walsh, M. Wang, M. Webster, A. Wehrlé, Ø. Winton, G. Wolken, K. Wood, B. Wouters, and D. Yang. 2022. The Arctic Bulletin of the American Meteorological Society 103 (8): S257-S306 [10.1175/bams-d-22-0082.1]

Li, Q., S. P. Serbin, J. Lamour, et al. K. J. Davidson, K. S. Ely, and A. Rogers. 2022. Implementation and evaluation of the unified stomatal optimization approach in the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) Geoscientific Model Development 15 (11): 4313-4329 [10.5194/gmd-15-4313-2022]

Hurtt, G. C., A. Andrews, K. Bowman, et al. M. E. Brown, A. Chatterjee, V. Escobar, L. Fatoyinbo, P. Griffith, M. Guy, S. P. Healey, D. J. Jacob, R. Kennedy, S. Lohrenz, M. E. McGroddy, V. Morales, T. Nehrkorn, L. Ott, S. Saatchi, E. Sepulveda Carlo, S. P. Serbin, and H. Tian. 2022. The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps Environmental Research Letters 17 (6): 063010 [10.1088/1748-9326/ac7407]

Kamoske, A. G., K. M. Dahlin, Q. D. Read, et al. S. Record, S. C. Stark, S. P. Serbin, and P. L. Zarnetske. 2022. Towards mapping biodiversity from above: Can fusing lidar and hyperspectral remote sensing predict taxonomic, functional, and phylogenetic tree diversity in temperate forests? Global Ecology and Biogeography 31 (7): 1440-1460 [10.1111/geb.13516]

Stavros, E. N., J. Chrone, K. Cawse‐Nicholson, et al. A. Freeman, N. F. Glenn, L. Guild, R. Kokaly, C. Lee, J. Luvall, R. Pavlick, B. Poulter, S. S. Uz, S. Serbin, D. R. Thompson, P. A. Townsend, K. Turpie, K. Yuen, K. Thome, W. Wang, S. Zareh, J. Nastal, D. Bearden, C. E. Miller, and D. Schimel. 2022. Designing an Observing System to Study the Surface Biology and Geology (SBG) of the Earth in the 2020s Journal of Geophysical Research: Biogeosciences [10.1029/2021jg006471]

Montes, C. M., C. Fox, Á. Sanz-Sáez, et al. S. P. Serbin, E. Kumagai, M. D. Krause, A. Xavier, J. E. Specht, W. D. Beavis, C. J. Bernacchi, B. W. Diers, and E. A. Ainsworth. 2022. High-throughput characterization, correlation, and mapping of leaf photosynthetic and functional traits in the soybean (<i>Glycine max</i>) nested association mapping population Genetics [10.1093/genetics/iyac065]

Dokoohaki, H., B. D. Morrison, A. Raiho, et al. S. P. Serbin, K. Zarada, L. Dramko, and M. Dietze. 2022. Development of an open-source regional data assimilation system in PEcAn v. 1.7.2: application to carbon cycle reanalysis across the contiguous US using SIPNET Geoscientific Model Development 15 (8): 3233-3252 [10.5194/gmd-15-3233-2022]

Sabot, M. E., M. G. De Kauwe, A. J. Pitman, et al. B. E. Medlyn, D. S. Ellsworth, N. K. Martin‐StPaul, J. Wu, B. Choat, J. Limousin, P. J. Mitchell, A. Rogers, and S. P. Serbin. 2022. One Stomatal Model to Rule Them All? Toward Improved Representation of Carbon and Water Exchange in Global Models Journal of Advances in Modeling Earth Systems 14 (4): [10.1029/2021ms002761]

Lamour, J., K. J. Davidson, K. S. Ely, et al. G. Le Moguédec, A. D. Leakey, Q. Li, S. P. Serbin, and A. Rogers. 2022. An improved representation of the relationship between photosynthesis and stomatal conductance leads to more stable estimation of conductance parameters and improves the goodness‐of‐fit across diverse data sets Global Change Biology 28 (11): 3537-3556 [10.1111/gcb.16103]

Davidson, K. J., J. Lamour, A. Rogers, and S. P. Serbin. 2022. Late-day measurement of excised branches results in uncertainty in the estimation of two stomatal parameters derived from response curves in <i>Populus deltoides</i> Bartr. × <i>Populus nigra</i> L. Tree Physiology 42 (7): 1377-1395 [10.1093/treephys/tpac006]

Nelson, P. R., A. J. Maguire, Z. Pierrat, et al. E. L. Orcutt, D. Yang, S. Serbin, G. V. Frost, M. J. Macander, T. S. Magney, D. R. Thompson, J. A. Wang, S. F. Oberbauer, S. V. Zesati, S. J. Davidson, H. E. Epstein, S. Unger, P. K. Campbell, N. Carmon, M. Velez‐Reyes, and K. F. Huemmrich. 2022. Remote Sensing of Tundra Ecosystems Using High Spectral Resolution Reflectance: Opportunities and Challenges Journal of Geophysical Research: Biogeosciences 127 (2): [10.1029/2021jg006697]

Euskirchen, E. S., S. P. Serbin, T. B. Carman, et al. J. M. Fraterrigo, H. Genet, C. M. Iversen, V. Salmon, and A. D. McGuire. 2021. Assessing dynamic vegetation model parameter uncertainty across Alaskan arctic tundra plant communities Ecological Applications 32 (2): [10.1002/eap.2499]

Rogers, A., S. P. Serbin, and D. A. Way. 2021. Reducing model uncertainty of climate change impacts on high latitude carbon assimilation Global Change Biology 28 (4): 1222-1247 [10.1111/gcb.15958]

Lamour, J., K. J. Davidson, K. S. Ely, et al. Q. Li, S. P. Serbin, and A. Rogers. 2021. New calculations for photosynthesis measurement systems: what's the impact for physiologists and modelers? New Phytologist 233 (2): 592-598 [10.1111/nph.17762]

Myers, B. J., S. R. Weiskopf, A. N. Shiklomanov, et al. S. Ferrier, E. Weng, K. A. Casey, M. Harfoot, S. T. Jackson, A. K. Leidner, T. M. Lenton, G. Luikart, H. Matsuda, N. Pettorelli, I. M. Rosa, A. C. Ruane, G. B. Senay, S. P. Serbin, D. P. Tittensor, and T. D. Beard. 2021. A New Approach to Evaluate and Reduce Uncertainty of Model-Based Biodiversity Projections for Conservation Policy Formulation BioScience 71 (12): 1261-1273 [10.1093/biosci/biab094]

Thompson, D. R., P. G. Brodrick, K. Cawse‐Nicholson, et al. K. Dana Chadwick, R. O. Green, B. Poulter, S. Serbin, A. N. Shiklomanov, P. A. Townsend, and K. R. Turpie. 2021. Spectral Fidelity of Earth's Terrestrial and Aquatic Ecosystems Journal of Geophysical Research: Biogeosciences 126 (8): [10.1029/2021jg006273]

Yang, D., B. D. Morrison, W. Hantson, et al. A. L. Breen, A. McMahon, Q. Li, V. G. Salmon, D. J. Hayes, and S. P. Serbin. 2021. Landscape-scale characterization of Arctic tundra vegetation composition, structure, and function with a multi-sensor unoccupied aerial system Environmental Research Letters 16 (8): 085005 [10.1088/1748-9326/ac1291]

Yan, Z., Z. Guo, S. P. Serbin, et al. G. Song, Y. Zhao, Y. Chen, S. Wu, J. Wang, X. Wang, J. Li, B. Wang, Y. Wu, Y. Su, H. Wang, A. Rogers, L. Liu, and J. Wu. 2021. Spectroscopy outperforms leaf trait relationships for predicting photosynthetic capacity across different forest types New Phytologist 232 (1): 134-147 [10.1111/nph.17579]

Burnett, A. C., J. Anderson, K. J. Davidson, et al. K. S. Ely, J. Lamour, Q. Li, B. D. Morrison, D. Yang, A. Rogers, and S. P. Serbin. 2021. A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression Journal of Experimental Botany 72 (18): 6175-6189 [10.1093/jxb/erab295]

Pivovaroff, A. L., B. T. Wolfe, N. McDowell, et al. B. Christoffersen, S. Davies, L. T. Dickman, C. Grossiord, R. T. Leff, A. Rogers, S. P. Serbin, S. J. Wright, J. Wu, C. Xu, and J. Q. Chambers. 2021. Hydraulic architecture explains species moisture dependency but not mortality rates across a tropical rainfall gradient Biotropica 53 (4): 1213-1225 [10.1111/btp.12964]

Burnett, A. C., S. P. Serbin, K. J. Davidson, K. S. Ely, and A. Rogers. 2021. Detection of the metabolic response to drought stress using hyperspectral reflectance Journal of Experimental Botany 72 (18): 6474-6489 [10.1093/jxb/erab255]

Thompson, D. R., P. G. Brodrick, N. N. Bohn, et al. A. Braverman, N. Carmon, D. Connelly, J. E. Fahlen, R. O. Green, R. L. Herman, J. M. Hobbs, M. C. Johnson, N. Mahowald, G. Okin, B. Poulter, S. Serbin, A. N. Shiklomonov, J. Susiluoto, and M. Turmon. 2021. Toward comprehensive uncertainty predictions for remote imaging spectroscopy Imaging Spectrometry XXIV: Applications, Sensors, and Processing [10.1117/12.2567732]

Shiklomanov, A. N., M. C. Dietze, I. Fer, T. Viskari, and S. P. Serbin. 2021. Cutting out the middleman: Calibrating and validating a dynamic vegetation model (ED2-PROSPECT5) using remotely sensed surface reflectance Geoscientific Model Development 14 (5): 2603–2633 [10.5194/gmd-14-2603-2021]

Cawse-Nicholson, K., P. A. Townsend, D. Schimel, et al. A. M. Assiri, P. L. Blake, M. F. Buongiorno, P. Campbell, N. Carmon, K. A. Casey, R. E. Correa-Pabón, K. M. Dahlin, H. Dashti, P. E. Dennison, H. Dierssen, A. Erickson, J. B. Fisher, R. Frouin, C. K. Gatebe, H. Gholizadeh, M. Gierach, N. F. Glenn, J. A. Goodman, D. M. Griffith, L. Guild, C. R. Hakkenberg, E. J. Hochberg, T. R. Holmes, C. Hu, G. Hulley, K. F. Huemmrich, R. M. Kudela, R. F. Kokaly, C. M. Lee, R. Martin, C. E. Miller, W. J. Moses, F. E. Muller-Karger, J. D. Ortiz, D. B. Otis, N. Pahlevan, T. H. Painter, R. Pavlick, B. Poulter, Y. Qi, V. J. Realmuto, D. Roberts, M. E. Schaepman, F. D. Schneider, F. M. Schwandner, S. P. Serbin, A. N. Shiklomanov, E. N. Stavros, D. R. Thompson, J. L. Torres-Perez, K. R. Turpie, M. Tzortziou, S. Ustin, Q. Yu, Y. Yusup, and Q. Zhang. 2021. NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms Remote Sensing of Environment 257 112349 [10.1016/j.rse.2021.112349]

Burnett, A. C., S. P. Serbin, and A. Rogers. 2021. Source:sink imbalance detected with leaf‐ and canopy‐level spectroscopy in a field‐grown crop Plant, Cell &amp; Environment 44 (8): 2466-2479 [10.1111/pce.14056]

Burnett, A. C., S. P. Serbin, J. Lamour, et al. J. Anderson, K. J. Davidson, D. Yang, and A. Rogers. 2021. Seasonal trends in photosynthesis and leaf traits in scarlet oak Tree Physiology 41 (8): 1413-1424 [10.1093/treephys/tpab015]

Frost, G. V., M. J. Macander, U. S. Bhatt, et al. L. T. Berner, J. W. Bjerke, H. E. Epstein, B. C. Forbes, S. J. Goetz, M. J. Lara, T. Park, G. K. Phoenix, S. P. Serbin, H. Tømmervik, D. A. Walker, and D. Yang. 2021. Arctic Report Card 2021: Tundra Greenness NOAA Technical Report OAR ARC; 21-08 [https://doi.org/10.25923/8n78-wp73]

Rogers, A., D. P. Kumarathunge, D. L. Lombardozzi, et al. B. E. Medlyn, S. P. Serbin, and A. P. Walker. 2020. Triose phosphate utilization limitation: an unnecessary complexity in terrestrial biosphere model representation of photosynthesis New Phytologist 230 (1): 17-22 [10.1111/nph.17092]

Fer, I., A. K. Gardella, A. N. Shiklomanov, et al. E. E. Campbell, E. M. Cowdery, M. G. De Kauwe, A. Desai, M. J. Duveneck, J. B. Fisher, K. D. Haynes, F. M. Hoffman, M. R. Johnston, R. Kooper, D. S. LeBauer, J. Mantooth, W. J. Parton, B. Poulter, T. Quaife, A. Raiho, K. Schaefer, S. P. Serbin, J. Simkins, K. R. Wilcox, T. Viskari, and M. C. Dietze. 2020. Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration Global Change Biology gcb.15409 [10.1111/gcb.15409]

Kamoske, A. G., K. M. Dahlin, S. P. Serbin, and S. C. Stark. 2020. Leaf traits and canopy structure together explain canopy functional diversity: an airborne remote sensing approach Ecological Applications 31 (2): [10.1002/eap.2230]

Walker, A. P., A. L. Johnson, A. Rogers, et al. J. Anderson, R. A. Bridges, R. A. Fisher, D. Lu, D. M. Ricciuto, S. P. Serbin, and M. Ye. 2020. Multi‐hypothesis comparison of Farquhar and Collatz photosynthesis models reveals the unexpected influence of empirical assumptions at leaf and global scales Global Change Biology 27 (4): 804-822 [10.1111/gcb.15366]

Thompson, D. R., D. S. Schimel, B. Poulter, et al. I. Brosnan, S. J. Hook, R. O. Green, N. Glenn, L. Guild, C. Henn, K. Cawse-Nicholson, R. Kokaly, C. Lee, J. Luvall, C. E. Miller, J. Nastal, R. Pavlick, B. Phillips, F. Schneider, S. S. Uz, S. Serbin, N. Stavros, P. Townsend, W. Turner, K. Turpie, and W. Wang. 2020. NASA's Surface Biology and Geology Concept Study: Status and Next Steps IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium [10.1109/igarss39084.2020.9323295]

Yang, D., R. Meng, B. D. Morrison, et al. A. McMahon, W. Hantson, D. J. Hayes, A. L. Breen, V. G. Salmon, and S. P. Serbin. 2020. A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra Remote Sensing 12 (16): 2638 [10.3390/rs12162638]

Koven, C. D., R. G. Knox, R. A. Fisher, et al. J. Q. Chambers, B. O. Christoffersen, S. J. Davies, M. Detto, M. C. Dietze, B. Faybishenko, J. Holm, M. Huang, M. Kovenock, L. M. Kueppers, G. Lemieux, E. Massoud, N. G. McDowell, H. C. Muller-Landau, J. F. Needham, R. J. Norby, T. Powell, A. Rogers, S. P. Serbin, J. K. Shuman, A. L. Swann, C. Varadharajan, A. P. Walker, S. J. Wright, and C. Xu. 2020. Benchmarking and parameter sensitivity of physiological and vegetation dynamics using the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) at Barro Colorado Island, Panama Biogeosciences 17 (11): 3017-3044 [10.5194/bg-17-3017-2020]

Kamoske, A., K. Dahlin, S. Serbin, and S. Stark. 2020. Leaf functional diversity is not equivalent to canopy functional diversity: Mapping whole canopy traits with imaging spectroscopy and lidar fusion EGU 2020 General Assembly [10.5194/egusphere-egu2020-11293]

Erickson, A., B. Poulter, D. Thompson, et al. G. Okin, S. Serbin, W. Wang, and D. Schimel. 2020. A software framework for optimizing the design of spaceborne hyperspectral imager architectures EGU2020-19665 [10.5194/egusphere-egu2020-19665]

Meacham-Hensold, K., P. Fu, J. Wu, et al. S. Serbin, C. M. Montes, E. Ainsworth, K. Guan, E. Dracup, T. Pederson, S. Driever, and C. Bernacchi. 2020. Plot-level rapid screening for photosynthetic parameters using proximal hyperspectral imaging Journal of Experimental Botany 71 (7): 2312-2328 [10.1093/jxb/eraa068]

Serbin, S. P., and P. A. Townsend. 2020. Scaling Functional Traits from Leaves to Canopies Remote Sensing of Plant Biodiversity 43-82 [10.1007/978-3-030-33157-3_3]

Wu, J., S. P. Serbin, K. S. Ely, et al. B. T. Wolfe, L. T. Dickman, C. Grossiord, S. T. Michaletz, A. D. Collins, M. Detto, N. G. McDowell, S. J. Wright, and A. Rogers. 2019. The response of stomatal conductance to seasonal drought in tropical forests Global Change Biology 26 (2): 823-839 [10.1111/gcb.14820]

Massoud, E. C., C. Xu, R. A. Fisher, et al. R. G. Knox, A. P. Walker, S. P. Serbin, B. O. Christoffersen, J. A. Holm, L. M. Kueppers, D. M. Ricciuto, L. Wei, D. J. Johnson, J. Q. Chambers, C. D. Koven, N. G. McDowell, and J. A. Vrugt. 2019. Identification of key parameters controlling demographically structured vegetation dynamics in a land surface model: CLM4.5(FATES) Geoscientific Model Development 12 (9): 4133-4164 [10.5194/gmd-12-4133-2019]

Serbin, S. P., J. Wu, K. S. Ely, et al. E. L. Kruger, P. A. Townsend, R. Meng, B. T. Wolfe, A. Chlus, Z. Wang, and A. Rogers. 2019. From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance New Phytologist 224 (4): 1557-1568 [10.1111/nph.16123]

Wu, J., A. Rogers, L. P. Albert, et al. K. Ely, N. Prohaska, B. T. Wolfe, R. C. Oliveira, S. R. Saleska, and S. P. Serbin. 2019. Leaf reflectance spectroscopy captures variation in carboxylation capacity across species, canopy environment and leaf age in lowland moist tropical forests New Phytologist 224 (2): 663-674 [10.1111/nph.16029]

Viskari, T., A. Shiklomanov, M. C. Dietze, and S. P. Serbin. 2019. The influence of canopy radiation parameter uncertainty on model projections of terrestrial carbon and energy cycling PLOS ONE 14 (7): e0216512 [10.1371/journal.pone.0216512]

Meng, R., D. Yang, A. McMahon, et al. W. Hantson, D. Hayes, A. Breen, and S. Serbin. 2019. A UAS Platform for Assessing Spectral, Structural, and Thermal Patterns of Arctic Tundra Vegetation IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium [10.1109/igarss.2019.8897953]

Burnett, A. C., K. J. Davidson, S. P. Serbin, and A. Rogers. 2019. The “one‐point method” for estimating maximum carboxylation capacity of photosynthesis: A cautionary tale Plant, Cell &amp; Environment 42 (8): 2472-2481 [10.1111/pce.13574]

Shiklomanov, A. N., B. A. Bradley, K. M. Dahlin, et al. C. M. Gough, F. M. Hoffman, E. M Middleton, S. P. Serbin, L. Smallman, W. K. Smith, and A. M. Fox. 2019. Enhancing global change experiments through integration of remote‐sensing techniques Frontiers in Ecology and the Environment 17 (4): 215-224 [10.1002/fee.2031]

Rogers, A., S. P. Serbin, K. S. Ely, and S. D. Wullschleger. 2019. Terrestrial biosphere models may overestimate Arctic <scp>CO</scp><sub>2</sub> assimilation if they do not account for decreased quantum yield and convexity at low temperature New Phytologist 223 (1): 167-179 [10.1111/nph.15750]

Ely, K. S., A. C. Burnett, W. Lieberman-Cribbin, S. P. Serbin, and A. Rogers. 2019. Spectroscopy can predict key leaf traits associated with source–sink balance and carbon–nitrogen status Journal of Experimental Botany 70 (6): 1789-1799 [10.1093/jxb/erz061]

Kamoske, A. G., K. M. Dahlin, S. C. Stark, and S. P. Serbin. 2019. Leaf area density from airborne LiDAR: Comparing sensors and resolutions in a temperate broadleaf forest ecosystem Forest Ecology and Management 433 364-375 [10.1016/j.foreco.2018.11.017]

Dickman, L. T., N. G. McDowell, C. Grossiord, et al. A. D. Collins, B. T. Wolfe, M. Detto, S. J. Wright, J. A. Medina‐Vega, D. Goodsman, A. Rogers, S. P. Serbin, J. Wu, K. S. Ely, S. T. Michaletz, C. Xu, L. Kueppers, and J. Q. Chambers. 2019. Homoeostatic maintenance of nonstructural carbohydrates during the 2015–2016 El Niño drought across a tropical forest precipitation gradient Plant, Cell &amp; Environment 42 (5): 1705-1714 [10.1111/pce.13501]

Smith, N. G., T. F. Keenan, I. Colin Prentice, et al. H. Wang, I. J. Wright, Ü. Niinemets, K. Y. Crous, T. F. Domingues, R. Guerrieri, F. Yoko Ishida, J. Kattge, E. L. Kruger, V. Maire, A. Rogers, S. P. Serbin, L. Tarvainen, H. F. Togashi, P. A. Townsend, M. Wang, L. K. Weerasinghe, and S. Zhou. 2019. Global photosynthetic capacity is optimized to the environment Ecology Letters 22 (3): 506-517 [10.1111/ele.13210]

Raczka, B., M. C. Dietze, S. P. Serbin, and K. J. Davis. 2018. What Limits Predictive Certainty of Long‐Term Carbon Uptake? Journal of Geophysical Research: Biogeosciences 123 (12): 3570-3588 [10.1029/2018jg004504]

Pisek, J., H. Buddenbaum, F. Camacho, et al. J. Hill, J. L. Jensen, H. Lange, Z. Liu, A. Piayda, Y. Qu, O. Roupsard, S. P. Serbin, S. Solberg, O. Sonnentag, A. Thimonier, and F. Vuolo. 2018. Data synergy between leaf area index and clumping index Earth Observation products using photon recollision probability theory Remote Sensing of Environment 215 1-6 [10.1016/j.rse.2018.05.026]

Meng, R., P. E. Dennison, F. Zhao, et al. I. Shendryk, A. Rickert, R. P. Hanavan, B. D. Cook, and S. P. Serbin. 2018. Mapping canopy defoliation by herbivorous insects at the individual tree level using bi-temporal airborne imaging spectroscopy and LiDAR measurements Remote Sensing of Environment 215 170-183 [10.1016/j.rse.2018.06.008]

Walker, A. P., M. Ye, D. Lu, et al. M. G. De Kauwe, L. Gu, B. E. Medlyn, A. Rogers, and S. P. Serbin. 2018. The multi-assumption architecture and testbed (MAAT v1.0): R code for generating ensembles with dynamic model structure and analysis of epistemic uncertainty from multiple sources Geoscientific Model Development 11 (8): 3159-3185 [10.5194/gmd-11-3159-2018]

Meng, R., J. Wu, F. Zhao, et al. B. D. Cook, R. P. Hanavan, and S. P. Serbin. 2018. Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques Remote Sensing of Environment 210 282-296 [10.1016/j.rse.2018.03.019]

DuBois, S., A. R. Desai, A. Singh, et al. S. P. Serbin, M. L. Goulden, D. D. Baldocchi, S. Ma, W. C. Oechel, S. Wharton, E. L. Kruger, and P. A. Townsend. 2018. Using imaging spectroscopy to detect variation in terrestrial ecosystem productivity across a water‐stressed landscape Ecological Applications 28 (5): 1313-1324 [10.1002/eap.1733]

Fisher, R. A., C. D. Koven, W. R. Anderegg, et al. B. O. Christoffersen, M. C. Dietze, C. E. Farrior, J. A. Holm, G. C. Hurtt, R. G. Knox, P. J. Lawrence, J. W. Lichstein, M. Longo, A. M. Matheny, D. Medvigy, H. C. Muller-Landau, T. L. Powell, S. P. Serbin, H. Sato, J. K. Shuman, B. Smith, A. T. Trugman, T. Viskari, H. Verbeeck, E. Weng, C. Xu, X. Xu, T. Zhang, and P. R. Moorcroft. 2018. Vegetation demographics in Earth System Models: A review of progress and priorities Global Change Biology 24 (1): 35-54 [10.1111/gcb.13910]

Wu, J., H. Kobayashi, S. C. Stark, et al. R. Meng, K. Guan, N. N. Tran, S. Gao, W. Yang, N. Restrepo‐Coupe, T. Miura, R. C. Oliviera, A. Rogers, D. G. Dye, B. W. Nelson, S. P. Serbin, A. R. Huete, and S. R. Saleska. 2017. Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest New Phytologist 217 (4): 1507-1520 [10.1111/nph.14939]

Silva-Perez, V., G. Molero, S. P. Serbin, et al. A. G. Condon, M. P. Reynolds, R. T. Furbank, and J. R. Evans. 2017. Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat Journal of Experimental Botany 69 (3): 483-496 [10.1093/jxb/erx421]

Lewin, K. F., A. M. McMahon, K. S. Ely, S. P. Serbin, and A. Rogers. 2017. A zero-power warming chamber for investigating plant responses to rising temperature Biogeosciences 14 (18): 4071-4083 [10.5194/bg-14-4071-2017]

Stavros, E. N., D. Schimel, R. Pavlick, et al. S. Serbin, A. Swann, L. Duncanson, J. B. Fisher, F. Fassnacht, S. Ustin, R. Dubayah, A. Schweiger, and P. Wennberg. 2017. ISS observations offer insights into plant function Nature Ecology & Evolution 1 (7): 0194 [10.1038/s41559-017-0194]

Wu, J., S. P. Serbin, X. Xu, et al. L. P. Albert, M. Chen, R. Meng, S. R. Saleska, and A. Rogers. 2017. The phenology of leaf quality and its within‐canopy variation is essential for accurate modeling of photosynthesis in tropical evergreen forests Global Change Biology 23 (11): 4814-4827 [10.1111/gcb.13725]

Meng, R., J. Wu, K. L. Schwager, et al. F. Zhao, P. E. Dennison, B. D. Cook, K. Brewster, T. M. Green, and S. P. Serbin. 2017. Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem Remote Sensing of Environment 191 95-109 [10.1016/j.rse.2017.01.016]

Rogers, A., B. E. Medlyn, J. S. Dukes, et al. G. Bonan, S. von Caemmerer, M. C. Dietze, J. Kattge, A. D. Leakey, L. M. Mercado, Ü. Niinemets, I. C. Prentice, S. P. Serbin, S. Sitch, D. A. Way, and S. Zaehle. 2016. A roadmap for improving the representation of photosynthesis in Earth system models New Phytologist 213 (1): 22-42 [10.1111/nph.14283]

Shiklomanov, A. N., M. C. Dietze, T. Viskari, P. A. Townsend, and S. P. Serbin. 2016. Quantifying the influences of spectral resolution on uncertainty in leaf trait estimates through a Bayesian approach to RTM inversion Remote Sensing of Environment 183 226-238 [10.1016/j.rse.2016.05.023]

Couture, J. J., A. Singh, K. F. Rubert‐Nason, et al. S. P. Serbin, R. L. Lindroth, and P. A. Townsend. 2016. Spectroscopic determination of ecologically relevant plant secondary metabolites Methods in Ecology and Evolution 7 (11): 1402-1412 [10.1111/2041-210x.12596]

Wu, J., C. Chavana‐Bryant, N. Prohaska, et al. S. P. Serbin, K. Guan, L. P. Albert, X. Yang, W. J. van Leeuwen, A. J. Garnello, G. Martins, Y. Malhi, F. Gerard, R. C. Oliviera, and S. R. Saleska. 2016. Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests New Phytologist 214 (3): 1033-1048 [10.1111/nph.14051]

Yang, X., J. Tang, J. F. Mustard, et al. J. Wu, K. Zhao, S. Serbin, and J.-E. Lee. 2016. Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests Remote Sensing of Environment 179 1-12 [10.1016/j.rse.2016.03.026]

Kucharik, C. J., A. C. Mork, T. D. Meehan, et al. S. P. Serbin, A. Singh, P. A. Townsend, K. Stack Whitney, and C. Gratton. 2016. Evidence for Compensatory Photosynthetic and Yield Response of Soybeans to Aphid Herbivory Journal of Economic Entomology 109 (3): 1177-1187 [10.1093/jee/tow066]

Cavender-Bares, J., J. Meireles, J. Couture, et al. M. Kaproth, C. Kingdon, A. Singh, S. Serbin, A. Center, E. Zuniga, G. Pilz, and P. Townsend. 2016. Associations of Leaf Spectra with Genetic and Phylogenetic Variation in Oaks: Prospects for Remote Detection of Biodiversity Remote Sensing 8 (3): 221 [10.3390/rs8030221]

De Kauwe, M. G., Y. Lin, I. J. Wright, et al. B. E. Medlyn, K. Y. Crous, D. S. Ellsworth, V. Maire, I. C. Prentice, O. K. Atkin, A. Rogers, Ü. Niinemets, S. P. Serbin, P. Meir, J. Uddling, H. F. Togashi, L. Tarvainen, L. K. Weerasinghe, B. J. Evans, F. Y. Ishida, and T. F. Domingues. 2015. A test of the ‘one‐point method’ for estimating maximum carboxylation capacity from field‐measured, light‐saturated photosynthesis New Phytologist 210 (3): 1130-1144 [10.1111/nph.13815]

Singh, A., S. P. Serbin, B. E. McNeil, C. C. Kingdon, and P. A. Townsend. 2015. Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties Ecological Applications 25 (8): 2180-2197 [10.1890/14-2098.1]

Serbin, S. P., A. Singh, A. R. Desai, et al. S. G. Dubois, A. D. Jablonski, C. C. Kingdon, E. L. Kruger, and P. A. Townsend. 2015. Remotely estimating photosynthetic capacity, and its response to temperature, in vegetation canopies using imaging spectroscopy Remote Sensing of Environment 167 78-87 [10.1016/j.rse.2015.05.024]

Perillo, A. C., C. J. Kucharik, T. D. Meehan, et al. S. P. Serbin, A. Singh, P. A. Townsend, K. S. Whitney, and C. Gratton. 2015. Use of insect exclusion cages in soybean creates an altered microclimate and differential crop response Agricultural and Forest Meteorology 208 50-61 [10.1016/j.agrformet.2015.04.014]

Banskota, A., S. P. Serbin, R. H. Wynne, et al. V. A. Thomas, M. J. Falkowski, N. Kayastha, J.-P. Gastellu-Etchegorry, and P. A. Townsend. 2015. An LUT-Based Inversion of DART Model to Estimate Forest LAI from Hyperspectral Data IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 (6): 3147-3160 [10.1109/jstars.2015.2401515]

Couture, J. J., S. P. Serbin, and P. A. Townsend. 2015. Elevated temperature and periodic water stress alter growth and quality of common milkweed (Asclepias syriaca) and monarch (Danaus plexippus) larval performance Arthropod-Plant Interactions 9 (2): 149-161 [10.1007/s11829-015-9367-y]

Serbin, S. P., A. Singh, B. E. McNeil, C. C. Kingdon, and P. A. Townsend. 2014. Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species Ecological Applications 24 (7): 1651-1669 [10.1890/13-2110.1]

Dietze, M. C., S. P. Serbin, C. Davidson, et al. A. R. Desai, X. Feng, R. Kelly, R. Kooper, D. LeBauer, J. Mantooth, K. McHenry, and D. Wang. 2014. A quantitative assessment of a terrestrial biosphere model's data needs across North American biomes Journal of Geophysical Research: Biogeosciences 119 (3): 286-300 [10.1002/2013jg002392]

Banskota, A., R. H. Wynne, S. P. Serbin, et al. N. Kayastha, V. A. Thomas, and P. A. Townsend. 2013. Utility of the Wavelet Transform for LAI Estimation Using Hyperspectral Data Photogrammetric Engineering &amp; Remote Sensing 79 (7): 653-662 [10.14358/pers.79.7.653]

Serbin, S. P., D. E. Ahl, and S. T. Gower. 2013. Spatial and temporal validation of the MODIS LAI and FPAR products across a boreal forest wildfire chronosequence Remote Sensing of Environment 133 71-84 [10.1016/j.rse.2013.01.022]

Banskota, A., R. Wynne, V. Thomas, et al. S. Serbin, N. Kayastha, J. Gastellu-Etchegorry, and P. Townsend. 2013. Investigating the Utility of Wavelet Transforms for Inverting a 3-D Radiative Transfer Model Using Hyperspectral Data to Retrieve Forest LAI Remote Sensing 5 (6): 2639-2659 [10.3390/rs5062639]

Bernacchi, C. J., J. E. Bagley, S. P. Serbin, et al. U. M. Ruiz‐vera, D. M. Rosenthal, and A. Vanloocke. 2013. Modelling <scp>C</scp><sub>3</sub> photosynthesis from the chloroplast to the ecosystem Plant, Cell &amp; Environment 36 (9): 1641-1657 [10.1111/pce.12118]

Ainsworth, E. A., S. P. Serbin, J. A. Skoneczka, and P. A. Townsend. 2013. Using leaf optical properties to detect ozone effects on foliar biochemistry Photosynthesis Research 119 (1-2): 65-76 [10.1007/s11120-013-9837-y]

Townsend, P. A., S. P. Serbin, E. L. Kruger, and J. A. Gamon. 2013. Disentangling the contribution of biological and physical properties of leaves and canopies in imaging spectroscopy data Proceedings of the National Academy of Sciences 110 (12): [10.1073/pnas.1300952110]

Couture, J. J., S. P. Serbin, and P. A. Townsend. 2013. Spectroscopic sensitivity of real‐time, rapidly induced phytochemical change in response to damage New Phytologist 198 (1): 311-319 [10.1111/nph.12159]

Deel, L. N., B. E. McNeil, P. G. Curtis, et al. S. P. Serbin, A. Singh, K. N. Eshleman, and P. A. Townsend. 2012. Relationship of a Landsat cumulative disturbance index to canopy nitrogen and forest structure Remote Sensing of Environment 118 40-49 [10.1016/j.rse.2011.10.026]

Isaacson, B. N., S. P. Serbin, and P. A. Townsend. 2012. Detection of relative differences in phenology of forest species using Landsat and MODIS Landscape Ecology 27 (4): 529-543 [10.1007/s10980-012-9703-x]

Serbin, S. P., D. N. Dillaway, E. L. Kruger, and P. A. Townsend. 2011. Leaf optical properties reflect variation in photosynthetic metabolism and its sensitivity to temperature Journal of Experimental Botany 63 (1): 489-502 [10.1093/jxb/err294]

Kucharik, C. J., S. P. Serbin, S. Vavrus, E. J. Hopkins, and M. M. Motew. 2010. Patterns of Climate Change Across Wisconsin From 1950 to 2006 Physical Geography 31 (1): 1-28 [10.2747/0272-3646.31.1.1]

Serbin, S. P., and C. J. Kucharik. 2009. Spatiotemporal Mapping of Temperature and Precipitation for the Development of a Multidecadal Climatic Dataset for Wisconsin Journal of Applied Meteorology and Climatology 48 (4): 742-757 [10.1175/2008jamc1986.1]

Serbin, S. P., S. T. Gower, and D. E. Ahl. 2009. Canopy dynamics and phenology of a boreal black spruce wildfire chronosequence Agricultural and Forest Meteorology 149 (1): 187-204 [10.1016/j.agrformet.2008.08.001]

Peckham, S. D., D. E. Ahl, S. P. Serbin, and S. T. Gower. 2008. Fire-induced changes in green-up and leaf maturity of the Canadian boreal forest Remote Sensing of Environment 112 (9): 3594-3603 [10.1016/j.rse.2008.04.016]

Kucharik, C. J., and S. P. Serbin. 2008. Impacts of recent climate change on Wisconsin corn and soybean yield trends Environmental Research Letters 3 (3): 034003 [10.1088/1748-9326/3/3/034003]

Non-Refereed

Quinteros Casaverde, N. L., S. P. Serbin, and D. C. Daly. 2024. Changes in spectral signature of leaves after desiccation: Implications for the prediction of leaf traits and plant-soil interaction in herbarium samples bioRxiv [10.1101/2024.01.21.576284]

Quinteros Casaverde, N. L., S. P. Serbin, and D. C. Daly. 2023. Integration of leaf spectral reflectance variability facilitates identification of plant leaves at different taxonomic levels bioRxiv [10.1101/2023.05.09.538942]

Stavros, E. N., J. Chrone, K. Cawse-Nicholson, et al. A. Freeman, N. F. Glenn, L. Guild, R. Kokaly, C. Lee, J. C. Luvall, R. Pavlick, B. Poulter, S. Schollaert Uz, S. P. Serbin, D. R. Thompson, P. A. Townsend, K. R. Turpie, K. Yuen, K. Thome, W. Wang, S.-K. Zareh, J. Nastal, D. Bearden, C. E. Miller, and D. Schimel. 2021. Designing an Observing System to Study the Surface Biology and Geology of the Earth in the 2020s ESS Open Archive [10.1002/essoar.10509039.1]

Serbin, S., A. Shiklomanov, D. Yang, et al. P. Brodrick, D. Thompson, and B. Poulter. 2020. Evaluation of sensor characteristics on the retrieval of vegetation surface reflectance in high-latitude ecosystems AUTHOREA (https://www.authorea.com/) [10.1002/essoar.10504943.2]