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  1. Serbin SP, Wu, J, Ely, KS, Kruger, EL, Townsend, PA, Meng, R, Wolfe, BT, Chlus, A, Wang, Z, Rogers, A. From the Arctic to the tropics: multi-biome prediction of leaf mass per area using leaf reflectance. New Phytologist. In Press.
  2. Viskari, T, Shiklomanov, A, Dietze, MC, Serbin, SP (2019). The influence of canopy radiation parameter uncertainty on model projections of terrestrial carbon and energy cycling. Plos One, 14(7), e0216512. https://doi.org/10.1371/journal.pone.0216512.
  3. Wu J, Rogers A, Albert LP, Ely K, Prohaska N, Wolfe BT, Oliveira RC, Saleska SR, Serbin SP (2019) Leaf reflectance spectroscopy captures variation in carboxylation capacity across species, canopy environment, and leaf age in lowland moist tropical forests. New Phytologist. In Press. DOI: https://doi.org/10.1111/nph.16029
  4. Burnett AC, Davidson K, Serbin SP, Rogers A (2019) The 'one-point method' for estimating maximum carboxylation capacity of photosynthesis: a cautionary tale. Plant, Cell & Environment. 42(8), 2472-2481.
  5. Shiklomanov A, Bradley BA, Dahlin K, Fox A, Gough C, Hoffman FM, Middleton E, Serbin S, Smallman L,Smith WK (2019) Enhancing gloabl change experiments through integration of remote sensing techniques. Frontiers in Ecology and the Environment. 17(4), 215-224. doi 10.1001/fee.2031
  6. Rogers A, Serbin SP, Ely KS, Wullschleger SD (2019) Terrestrial biosphere models may overestimate Arctic CO2 assimilation if they do not account for decreased quantum yield and convexity at low temperature. New Phytologist. 223, 167-179.
  7. Ely KS, Burnett AC, Lieberman-Cribbin W, Serbin SP, Rogers A (2019) Spectroscopy can predict key leaf traits associated with source-sink balance and carbon-nitrogen status. Journal of Experimental Botany. 70, 1789-1799.
  8. Dickman LT, McDowell NG, Grossiord C, Collins AD, Wolfe BT, Detto M, Wright SJ, Medina-Vega JA, Goodsman D, Rogers A, Serbin SP, Wu J, Ely KS, Michaletz ST, Xu C, Kueppers L, Chambers JQ (2019) Homeostatic maintenance of non-structural carbohydrates during the 2015-2016 El Nino drought across a tropical forest precipitation gradient. Plant, Cell & Environment. 42, 1705-1714.
  9. Kamoske AD, Dahlin KM, Stark SC, Serbin SP (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. Smith NG, Keenan TF, Prentice IC, Wang H, Wright IJ, Niinemets U, Crous KY, Domingues TF, Guerrieri R, Ishida FY, Kattge J, Kruger EL, Maire V, Rogers A, Serbin SP, Tarvainen L, Togashi HF, Townsend PA,Wang M, Weerasinghe LK, Zhou SX (2019) Global photosynthetic capacity is optimized to the environment. Ecology Letters, 22(3), 506-517.
  11. Raczka B, Dietze MC, Serbin SP, Davis KJ (2018) What limits predictive certaintyo long-term carbon uptake? Journal of Geophysical Research - Biogeosciences. 123, https://doi.org/10.1029/2018JG004504.
  12. Meng R, Dennison PE, Zhao F, Shendryk I, Rickert A, Hanavan RP Cook BD, Serbin SP (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.
  13. Pisek J, Buddenbaum H, Camacho F, Hill J, Jensen JLR, Lange H, Liu Z, Piayda A, Qu Y, Roupsard O, Serbin SP, Solberg S, Sonnetag O, Thimonier A, Vuolo F (2018) Data synergy between leaf area index and clumping index Earth Observation products using photo collision probability theory. Remote Sensing of Environment. 215, 1-6.
  14. DuBois S, Desai AR, Singh A, Serbin SP, Goulden ML, Baldocchi DD, Ma S, Oechel WC, Wharton S, Kruger EL, Townsend PA (2018) Using imaging spectroscopy to detect variation in terrestrial ecosystem productivity across a water-stressed landscape. Ecological Applications. 28(5), 1313-1324.
  15. Walker AP, Ye M, Lu D, De Kauwe MG, Gu L, Medlyn BE, Rogers A, Serbin SP (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, 3159-3185.
  16. Meng R, Wu J, Zhao F, Cook BD, Hanavan RP, Serbin SP (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.
  17. Wu J, Kobayashi H, Stark SC, Meng R, Guan K, Tran NN, Gao S, Yang W, Restrepo-Coupe N, Miura T, Olivera RC, Rogers A, Dye DG, Nelson BW, Serbin S, Huete AR, Saleska SR (2018). Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest. New Phytologist. 217, 1507-1520.
  18. Silva-Perez V, Molero G, Serbin SP, Condon AG, Reynolds MP, Furbank RT, Evans JR (2018). Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat. Journal of Experimental Botany. 69, 483-496.
  19. Fisher RA, Koven CD, Anderegg WRL, Christoffersen BO, Dietze MD, Farrior C, Holm JA, Hurtt G, Knox RG, Lawrence PJ, Longo M, Matheny AM, Medvigy D, Muller-Landau HC, Powel TL, Serbin SP, Sato H, Shuman J, Smith B, Trugman AT, Viskari T, Verbeeck H, Weng E, Xu C, Xu X, Zhang T, Moorcroft P (2018). Vegetation Demographics in Earth System Models: a review of progress and priorities. Global Change Biology. 24, 35-54.
  20. Lewin KF, McMahon A, Ely KS, Serbin SP, Rogers A (2017). A zero power warming chamber for investigating plant responses to rising temperature. Biogeosciences. 14, 4071-4083.
  21. Rogers A, Serbin SP, Ely KS, Sloan VL, Wullschleger SD (2017). Terrestrial biosphere models underestimate photosynthetic capacity and CO2 assimilation in the Arctic.New Phytologist.216, 1090-1103
  22. Stavros NE, Schimel D, Pavlick R, Serbin SP, Swann A, Duncanson L, Fisher J, Faßnacht F, Ustin S, Dubayah R, Wennberg P, Schweiger A (2017). International Space Station observations offer an opportunity to understand plant function. Nature Ecology & Evolution. 1, 0194.
  23. Wu J, Serbin SP, Xu X, Albert LP, Chen M, Meng R, Saleska SR, Rogers A (2017). The phenology of leaf quality and its within-canopy variation are essential for accurate modeling of photosynthesis in tropical evergreen forests. Global Change Biology. 23, 4814-4827.
  24. Wu, J., Chavana-Bryant, C., Prohaska, N., Serbin, S.P., Guan, K., Albert, L.P., Yang, X., van Leeuwen, W., Garnello, J., Martine, G., Malhi, Y., Gerard, R., Cosme Oliviera, R., & Saleska, S.R. (2017). Convergence in relations among leaf traits, spectra and age across canopy environments and two contrasting tropical forests. New Phytologist. 214, 1033-1048
  25. Meng R, Wu J, Schwager KL, Zhao F, Dennison PE, Cook BD, Brewster K, Green TM, Serbin SP (2017). Using high spatial resolution satelite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem. Remote Sensing of Environment. 191, 95-109.
  26. Rogers A, Medlyn BE, Dukes JS, Bonan G, von Caemmerer S, Dietze MC, Kattge J, Leakey ADB, Mercado LM, Niinemets Ü, Prentice IC, Serbin SP, Sitch S, Way DA, Zaehle S (2017) A Roadmap for Improving Representation of Photosynthesis in Earth System Models. New Phytologist 213, 22-42.
  27. Shiklomanov, A.N., Dietze, M.C., Viskari, T., Townsend, P.A., & Serbin, S.P. (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. [Link]
  28. Couture, J., Singh, A., Rubert-Nason, K.F., Serbin, S.P., Lindroth, R.L., & Townsend, P.A. (2016). Spectroscopic determination of ecologically relevant plant secondary metabolites. Methods in Ecology and Evolution. 7, 1402-1412. [Link]
  29. Yang, X., Tang, J., Mustard, J.F., Wu, J., Zhao, K., Serbin, S., & Lee, J.-E. (2016). Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests. Remote Sensing of Environment, 179, 1-12 [Link]
  30. Kucharik, CJ, Mork, AC, Meehan, TD, Serbin, SP, Singh, A, Townsend, PA, Stack Whitney, K, Gratton, C (2016). Evidence for Compensatory Photosynthetic and Yield Response of Soybeans to Aphid Herbivory. Journal of Economic Entomology. 109, 1177-1187.
  31. Cavender-Bares J, Meireles J, Couture J, Kaproth M, Kingdon C, Singh A, Serbin S, Center A, Zuniga E, Pilz G, et al. (2016). Associations of Leaf Spectra with Genetic and Phylogenetic Variation in Oaks: Prospects for Remote Detection of Biodiversity. Remote Sensing 8, 221. [Link]
  32. De Kauwe MG, Lin Y-S, Wright IJ, Medlyn BE, Crous KY, Ellsworth DE, Maire V, Prentice IC, Atkin OK, Rogers A, Niinemets U, Serbin S, Meir P, Uddling J, Togashil HF, Tarainen L, Weerasinghe LK, Evans BJ, Ishida FY, Domingues TF (2016). A test of the "one-point method" for estimating carboxylation capacity from field-measured, light-saturated photosynthesis. New Phytologist210, 1130-1144.
  33. Serbin SP, Singh A, Desai AR, Dubois SG, Jablonski AD, Kingdon CC, Kruger EL, Townsend PA (2015). Remotely estimating photosynthetic capacity, and its response to temperature, in vegetation canopies using imaging spectroscopy. Remote Sensing of Environment 167, 78-87.
  34. Perillo, A.C., Kucharik, C.J., Meehan, T.D., Serbin, S.P., Singh, A., Townsend, P.A., Stack Whitney, K., Gratton, C (2015). Use of insect exclusion cages in soybean creates an altered microclimate and differential crop response Agricultural and Forest Meteorology. 208, 50-61.
  35. Singh, A., Serbin, S.P., McNeil, B.E., Kingdon, C.C., Townsend, P.A. (2015). Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties. Ecological Applications 25, 2180-2197.
  36. Couture, J.J., Serbin, S.P., Townsend, P.A. (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.
  37. Banskota, A., Serbin, S.P., et al. (2015). A 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 9(2), 3147-3160.
  38. Serbin SP, Singh A, McNeil BE, Kingdon CC, Townsend PA (2014). Spectroscopic determination of leaf morphological and biochemical traits for northern temperate and boreal tree species. Ecological Applications. 24(7), 1651-1669.
  39. Dietze MC, Serbin SP, Davidson C et al. (2014). A quantitative assessment of a terrestrial biosphere model's data needs across North American biomes. Journal of Geophysical Research-Biogeosciences, 119, 286-300.
  40. Ainsworth EA, Serbin SP, Skoneczka JA, Townsend PA (2014). Using leaf optical properties to detect ozone effects on foliar biochemistry. Photosynthesis Research, 119, 65-76.
  41. Banskota A, Wynne RH, Serbin SP, Kayastha N, Thomas VA, Townsend PA (2013). Utility of the Wavelet Transform for LAI Estimation Using Hyperspectral Data. Photogrammetric Engineering and Remote Sensing, 79, 653-662.
  42. Banskota A, Wynne RH, Thomas VA, Serbin SP, Kayastha N, Gastellu-Etchegorry JP, Townsend PA (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, 2639-2659.
  43. Bernacchi CJ, Bagley JE, Serbin SP, Ruiz-Vera UM, Rosenthal DM, Vanloocke A (2013). Modelling C3 photosynthesis from the chloroplast to the ecosystem. Plant, Cell & Environment, 36, 1641-1657. ( Online Wolfram Demonstrations)
  44. Serbin SP, Ahl DE, Gower ST (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.
  45. Townsend PA, Serbin SP, Kruger EL, Gamon JA (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, E1074.
  46. Couture JJ, Serbin SP, Townsend PA (2013). Spectroscopic sensitivity of real-time, rapidly induced phytochemical change in response to damage. New Phytologist, 198, 311-319.
  47. Isaacson B, Serbin S, Townsend P (2012). Detection of relative differences in phenology of forest species using Landsat and MODIS. Landscape Ecology, 27, 529-543.
  48. Deel LN, Mcneil BE, Curtis PG, Serbin SP, Singh A, Eshleman KN, Townsend PA (2012). Relationship of a Landsat cumulative disturbance index to canopy nitrogen and forest structure. Remote Sensing of Environment, 118, 40-49.
  49. Serbin SP, Dillaway DN, Kruger EL, Townsend PA (2012). Leaf optical properties reflect variation in photosynthetic metabolism and its sensitivity to temperature. Journal of Experimental Botany, 63, 489-502.
  50. Kucharik CJ, Serbin SP, Vavrus S, Hopkins EJ, Motew MM (2010). Patterns of climate change across Wisconsin from 1950 to 2006. Physical Geography, 31, 1-28.
  51. Serbin SP, Kucharik CJ (2009). Spatiotemporal Mapping of Temperature and Precipitation for the Development of a Multidecadal Climatic Dataset for Wisconsin. Journal of Applied Meteorology and Climatology, 48, 742-757. DOI: http://dx.doi.org/10.1175/2008JAMC1986.1
  52. Serbin SP, Gower ST, Ahl DE (2009) Canopy dynamics and phenology of a boreal black spruce wildfire chronosequence. Agricultural and Forest Meteorology, 149, 187-204. DOI: 10.1016/j.agrformet.2008.08.001
  53. Kucharik CJ, Serbin SP (2008) Impacts of recent climate change on Wisconsin corn and soybean yield trends. Environmental Research Letters, 3, 10.
  54. Kucharik CJ, Serbin SP (2008) Impacts of past and future changes in climate and atmospheric CO2 on Wisconsin Agriculture. Final Project Report to the Wisconsin Focus on Energy Program.
  55. Peckham SD, Ahl DE, Serbin SP, Gower ST (2008) Fire-induced changes in green-up and leaf maturity of the Canadian boreal forest. Remote Sensing of Environment, 112, 3594-3603.