Publications

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Peer-reviewed publications

  1. Haselhorst, D.S., D.K. Tcheng, J.E. Moreno, and S.W. Punyasena (in revision). The effect of seasonal and long-term climatic variability on Neotropical flowering phenology: an ecoinformatic analysis of aerial pollen data. Ecological Informatics.
  2. Mander, L., S.C. Dekker, M. Li, W. Mio, S.W. Punyasena, and T.M. Lenton. 2017. A morphometric analysis of vegetation patterns in dryland ecosystems. Royal Society Open Science, 4, 160443.http://dx.doi.org/10.1098/rsos.160443
  3. Sivaguru, M., M. Urban, G. Fried, C.J. Wesseln, L. Mander, and S.W. Punyasena. 2016, in press. Comparative performance of airyscan and structured illumination superresolution microscopy in the study of the surface texture and 3D shape of pollen. Microscopy Research Techniques (invited, special issue).
  4. Urban, M., R. Barclay, M. Sivaguru, and S.W. Punyasena. 2016, in press. Cuticle and subsurface ornamentation of intact plant leaf epidermis under confocal and superresolution microscopy. Microscopy Research Techniques (invited, special issue).
  5. Mander, L. and S.W. Punyasena. 2016. Grass pollen surface ornamentation: a review of morphotypes and taxonomic utility. Journal of Micropaleontology. 35: 121-124.
  6. Tcheng, D.K., A.K. Nayak, C.C. Fowlkes and S.W. Punyasena. 2016. Visual recognition software application for binary classification and its application to spruce pollen identification. PLoS ONE 11(2): e0148879.
  7. Riley, K.C., J.P. Woodward, G.M. Hwang and S.W. Punyasena. 2015. Progress towards establishing collection standards for semi-automated pollen classification in forensic geo-historical location applications. Review of Palaeobotany and Palynology. 221: 117-127.
  8. Mander, L. and S.W. Punyasena. 2014. On the taxonomic resolution of pollen and spore records of Earth’s vegetation. International Journal of Plant Sciences. 175(8): 931-945.
  9. Mander, L., J. Rodriguez, P.G. Mueller, S.T. Jackson, and S.W. Punyasena. 2014. Identifying the pollen of an extinct spruce species in the Late Quaternary sediments of the Tunica Hills region, southeastern United States. Journal of Quaternary Science. 29(7): 711-721
  10. Han, J.G., H. Cao, A. Barb, S.W. Punyasena, C. Jaramillo, and C-R. Shyu. 2014. A Neotropical Miocene pollen database employing image-based search and semantic modeling. Applications in Plant Sciences. 2(8):
  11. Mander, L., S.J. Baker, C.M. Belcher, D.S. Haselhorst, J. Rodriguez, J.L. Thorn, S. Tiwari, D.H. Urrego, C.J. Wesseln and S.W. Punyasena. 2014. Accuracy and consistency of grass pollen identification by human analysts using electron micrographs of surface ornamentation. Applications in Plant Sciences. 2(8):
  12. Levy, O., B.A. Ball, B. Bond-Lamberty, K.S. Cheruvelil, A.O. Finley, N. Lottig, S.W. Punyasena, J. Xiao, J. Zhou, L.B. Buckley, J. Clark, C.T. Filstrup, T. Keitt, J.R. Kellner, A.K. Knapp, A. Richardson, C. Stow, D.K. Tcheng, M. Toomey, R. Vargas, J.W. Voordeckers, T. Wagner, and J.W. Williams. 2014. Approaches to advance scientific understanding of macrosystems ecology. Frontiers in Ecology and the Environment 12 (1): 15-23.
  13. Seddon, A.W.R., A.W. Mackay, A. Baker, H.J.B. Birks, E. Ellis, L. Gillson, E. Johnson, S. Juggins, K. Willis, C. Buck, C.A. Froyd, V. Jones, M. Macias-Fauria, D. Nogués-Bravo, S.W. Punyasena, E. Breman, J. Gill, K. Mills, J.L. Morris, T. Roland, A. Tanentzap, and the Palaeo50 working group. 2014. Looking forward through the past: Identification of 50 priority research questions in palaeoecology. Journal of Ecology 102(1): 256-67.
  14. Donders, T.E., S.W. Punyasena, H.J. de Boer, and F. Wagner-Cremer. 2013. ENSO signature in botanical proxy time series extends terrestrial El Niño record into the (sub)tropics. Geophysical Research Letters 40(21): 5776–5781.
  15. Mander, L., M. Li, W. Mio, C.C. Fowlkes and S.W. Punyasena. 2013. Classification of grass pollen through the quantitative analysis of surface ornamentation and texture. Proceedings of the Royal Society B 280(1770): 20131905
  16. Johnsrud, S., H. Yang, A. Nayak, and S.W. Punyasena. 2013. Semi-automated segmentation of pollen grains in microscopic images: A tool for three imaging modes. Grana 52(3): 181-191.
  17. Belcher, C.M, S.W. Punyasena, and M. Sivaguru. 2013. Novel application of confocal laser scanning microscopy and 3D volume rendering toward improving the resolution of the fossil record of charcoal. PLoS ONE 8(8): e72265.
  18. Haselhorst, D., J. E. Moreno, and S.W. Punyasena. 2013. Variability within the 10-year pollen rain of a seasonal Neotropical forest and its implications for paleoenvironmental and phenological research. PLoS ONE 8(1): e53485.
  19. Mander, L., C. Wesseln, J.E. McElwain, and S.W. Punyasena. 2012. Tracking taphonomic regimes using chemical and mechanical damage of pollen and spores: an example from the Triassic-Jurassic mass extinction. PLoS ONE 7(11): e49153.
  20. Punyasena, S.W., D.K. Tcheng, C. Wesseln, and P. G. Mueller. 2012. Classifying black and white spruce pollen using layered machine learning. New Phytologist 196(3): 937-944.
  21. Sivaguru M., L. Mander, G. Fried, and S.W. Punyasena. 2012. Capturing the surface texture and shape of pollen: a comparison of microscopy techniques. PLoS ONE 7(6): e39129.
  22. Punyasena, S. W., C. Jaramillo, F. de la Parra, and Y. Du. 2012. Probabilistic correlation of single stratigraphic samples – a generalized approach for biostratigraphic data. American Association of Petroleum Geologists Bulletin 96(2): 235-244.
  23. Punyasena, S. W., J. W. Dalling, C. Jaramillo, and B. L. Turner. 2011. Comment on “The response of vegetation on the Andean flank in western Amazonia to Pleistocene climate change.” Science 333(6051).
  24. Whitney, B. S., F. E. Mayle, S. W. Punyasena, K. A. Fitzpatrick, M. J. Burn, R. Guillen, E. Chavez, D. Mann, R. T. Pennington, and S. Metcalfe. 2011. A 45 kyr record from the lowland interior of tropical South America. Palaeogeography Palaeoclimatology Palaeoecology 307(1-4): 177-192.
  25. Punyasena, S. W., F. E. Mayle, and J. C. McElwain. 2008. Quantitative estimates of glacial and Holocene temperature and precipitation change in lowland Amazonian Bolivia. Geology 36(8): 667-670.
  26. Punyasena, S. W. 2008. Estimating Neotropical palaeotemperature and palaeoprecipitation using plant family climatic optima. Palaeogeography Palaeoclimatology Palaeoecology 265(3-4): 226-237.
  27. Punyasena, S. W., G. Eshel, and J. C. McElwain. 2008. The influence of climate on the spatial patterning of Neotropical plant families. Journal of Biogeography 35(1): 117-130.
  28. McElwain, J. C., and S. W. Punyasena. 2007. Mass extinction events and the plant fossil record. Trends in Ecology & Evolution 22(10): 548-557

 

Books, Book Chapters, Special Issues

  1. Mander, L. and S.W. Punyasena (in press). Fossil pollen and spores in paleoecology. In D.A. Croft, S.W. Simpson, and D.F. Su (eds.), Methods in Paleoecology: Reconstructing Cenozoic Terrestrial Environments and Ecological Communities. Springer (Vertebrate Paleobiology and Paleoanthropology Series), Dordrecht. [peer-reviewed]
  2. Lyons, S.K., Punyasena, S.W., and Looy, C. (in press), “Community and ecosystem dynamics”, Foundations in Paleoecology, Lyons, S.K. and A.K. Behrensmeyer (editors). University of Chicago Press [peer-reviewed]
  3. Lyons, S.K., Punyasena, S.W., and Looy, C., section editors, Part One: Community and Ecosystem Dynamics, Foundations in Paleoecology, (in press). Lyons, S.K. and A.K. Behrensmeyer (editors). University of Chicago Press [peer-reviewed]
  4. Punyasena, S.W. and S.Y. Smith. 2014. Bioinformatic and biometric methods in plant morphology. Applications in Plant Sciences 2(8):1400071 [Special Issue introduction]
  5. Punyasena, S.W. and E.A. Newman, editors (2001). NY-NJ Harbor Estuary Program Habitat Workgroup 2001 Status ReportA Regional Model for Estuary and Multiple Watershed Management. NYC Department of Parks & Recreation and the NY-NJ Harbor Estuary Program. 186 pp. (reviewed in Ecological Restoration, September 2002)

 

Peer-Reviewed Conference Proceedings

  1. Kong, S., W. Punyasena, C.C. Fowlkes. Spatially aware dictionary learning and coding for fossil pollen identification. Computer Vision for Microscopy Image Analysis (CVMI) Workshop; 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR). (Las Vegas, NV, July 2016) https://arxiv.org/abs/1605.00775
  2. Hwang, G.M., K.C. Riley, C.T. Christou, G.M. Jacyna, J.P. Woodard, R.M. Ryan, M.B. Bush, B.G.Valencia, C.N.H. McMichael, S.W. Punyasena, and D.L. Masters. Automated pollen identification system for forensic geo-historical location applications. 2013 IEEE Homeland Security Technologies Conference. (Waltham, MA; November 2013)

 

Abstracts

  1. Punyasena, S.W., S. Kong, C.C. Fowlkes, and S.T. Jackson. Reconstructing the extinction dynamics of Picea critchfieldii – the application of computer vision to fossil pollen analysis. Inaugural Digital Data in Biodiversity Research Conference (Ann Arbor, MI; June 2017).
  2. Urban, M.A., M. Sivaguru, I.C. Romero, G. Fried, C.C. Fowlkes, W. Mio, C. Jaramillo, and S.W. Punyasena. The application of optical supperresolution microscopy to the study of pollen morphology. Inaugural Digital Data in Biodiversity Research Conference (Ann Arbor, MI; June 2017).
  3. Haselhorst, D.S, S. Kong, C. Fowlkes, J.E. Moreno, D.K. Tcheng, and S.W. Punyasena. Automating tropical pollen counts using convolutional neural nets: from image acquisition to identification. Inaugural Digital Data in Biodiversity Research Conference (Ann Arbor, MI; June 2017).
  4. Romero I.C., M. A Urban, C. Jaramillo, F. Oboh-Ikuenobe, and S.W. Punyasena. Spatial distribution of Striatopollis catatumbusthrough the Cenozoic. Annual Midwest Ecology and Evolution Conference (MEEC) (Urbana, IL; March 2017).
  5. Haselhorst, D.S, D.K. Tcheng, J.E. Moreno, and S.W. Punyasena. An ecoinformatic analysis on the seasonal and long-term flowering phenology of two lowland Neotropical forests using aerial pollen trap and climatic data. Annual Midwest Ecology and Evolution Conference (MEEC) (Urbana, IL; March 2017).
  6. Romero, I.C., M.A. Urban, and S.W. Punyasena. Biogeography and taxonomic affinity of Striatopollis catatumbus determined using Airyscan confocal superresolution microscopy. Joint meeting of the Society for Organic Petrology, AASP-The Palynological Society, and the International Committee for Coal and Organic Petrology (Houston, TX; September 2016)
  7. Mander, L., S. Dekker, M. Li, W. Mio, S.W. Punyasena, T.M. Lenton. Quantitative characterization of spatial patterns in dryland vegetation. Abstracts with Programs – Geological Society of America, Geological Society of America, 2015 annual meeting (Baltimore; November 2015)
  8. Haselhorst, D.S., D.K. Tcheng, J.E Moreno, and S.W Punyasena. An ecoinformatic analysis of the effect of seasonal and annual variation in temperature, precipitation, and solar irradiance on pollen productivity in two neotropical forests. American Geophysical Union Fall Meeting (San Francisco; December 2014) [poster]
  9. Punyasena, S.W., D.K. Tcheng, A. Nayak. Visual recognition software for binary classification and its application to pollen identification. American Geophysical Union Fall Meeting (San Francisco; December 2014) [poster accepted]
  10. Punyasena, S.W., D.K. Tcheng, C.C. Fowlkes, W. Mio, and C-R. Shyu. Digital palynology: imaging, automation and intelligent databases. Abstracts with Programs – Geological Society of America, Geological Society of America, 2014 annual meeting (Vancouver, Canada; October 2014)
  11. Restrepo, A., S.W. Punyasena, M. Romero, L.I. Quiroz, and C. Jaramillo. Neogene biome reconstruction from northern Venezuela. Abstracts with Programs – Geological Society of America, Geological Society of America, 2014 annual meeting (Vancouver, Canada; October 2014) [poster]
  12. Punyasena, S.W. Improving pollen-based paleoclimate reconstructions. Goldschmidt Conference 2014. (Sacramento, CA; June 2014)
  13. Wesseln, C.J., M. Sivaguru, L. Mander, G. Fried, and S.W. Punyasena. Improving the taxonomic resolution of grass pollen: the foundation for expanding paleoecological study of grasslands. Annual Midwest Ecology and Evolution Conference (MEEC) (Dayton, OH; March 2014)
  14. Haselhorst, D.S., J.E Moreno, and S.W Punyasena. Testing the phenological response of tropical trees to climate using a seasonally sampled, 10-year pollen record. Annual Midwest Ecology and Evolution Conference (MEEC) (Dayton, OH; March 2014)
  15. Rodriguez, J., L. Mander, P.G. Mueller, S.T. Jackson, and S.W. Punyasena. Morphometrics of Picea pollen from Late Quaternary sediments in the Tunica Hills region of southeastern United States. Annual Midwest Ecology and Evolution Conference (MEEC) (Dayton, OH; March 2014)
  16. Wesseln, C.J., M. Sivaguru, L. Mander, and S.W Punyasena. Optimizing super-resolution structured illumination microscopy (SR-SIM) for recovery of taxonomically important morphologies in modern and fossil grass pollen records. Abstracts with Programs – Geological Society of America, Geological Society of America, 2013 annual meeting (Denver, CO; November 2013)
  17. Riley, K.C., J.P. Woodard, S.W. Punyasena, G.M. Hwang. Establishing collection standards for a rapid semi-automated pollen classification tool. AASP-The Palynological Society 2013 annual meeting (San Francisco, CA; October 2013)
  18. Punyasena, S.W. Quantitative approaches to pollen analysis: the role of super-resolution microscopy, machine learning, and bioimage informatics. Asociación de Palinólogos de Lengua Española/Association des Palynologues de Langue Française Biannual Meeting, Pollen 2013: Pollen Biotechnology, Diversity and Function in a Changing Environment (Madrid, Spain; September 2013) [invited, remote participant]
  19. Punyasena, S.W., L. Mander, M. Li, W. Mio, and C.C. Fowlkes. Classifying grass pollen using high-resolution imaging and the quantitative analysis of surface texture. Botany and Plant Biology 2013 Joint Congress. Botanical Society of America (New Orleans, LA; July 2013)
  20. Diaz Martinez, D.H., S.W. Punyasena, and W. Mio. Multiscale statistical methods for comparing climatic distributions of plant taxa – a legume case study. Botany and Plant Biology 2013 Joint Congress. Botanical Society of America (New Orleans, LA; July 2013)
  21. Han, J.G., H. Cao, S.W. Punyasena, A. Restrepo, C. Jaramillo, and C.-R. Shyu. Shape-based search of Neotropical pollen images using morphological characteristics. Botany and Plant Biology 2013 Joint Congress. Botanical Society of America (New Orleans, LA; July 2013)
  22. Tcheng, D.K., A. Nayak, and S.W. Punyasena. A rigorous test of the relative performance of automated pollen identification and human expert abilities. Botany and Plant Biology 2013 Joint Congress. Botanical Society of America (New Orleans, LA; July 2013)
  23. Punyasena, S.W. and D. K. Tcheng. Automated analysis of the reproductive response of two Panamanian forests to ENSO climate variation – a machine learning pilot study: one year update. 2013 Macrosystems Biology PI meeting. (Arlington, VA; June 2013) [poster, invited]
  24. Haselhorst, D., J.E. Moreno, and S.W. Punyasena. Comparison of the long-term pollen productivity of two Panamanian forests and its implications for paleoecological research. 30th Annual Midcontinental Paleobotany Meeting (Glencoe, IL; April 2013)
  25. Punyasena, S.W. Teaching computers to count pollen. 30th Annual Midcontinental Paleobotany Meeting (Glencoe, IL; April 2013)
  26. Ortiz, J., C. Moreno, S.W. Punyasena, A.L. Cárdenas, and C. Jaramillo. SDAR: a new quantitative toolkit for analyzing stratigraphic data. NAMS Geologic Problem Solving with Microfossils III Conference (Houston, TX; March 2013) [poster]
  27. Punyasena, S.W., W. Mio, D.K. Tcheng, L. Mander, and M. Li. Improving reconstructions of plant biodiversity from fossil pollen assemblages using bioimage informatic PAGES Past Global Changes Open Science Meeting 4 (Goa, India; February 2013) [talk accepted]
  28. Punyasena, S.W., L. Mander, W. Mio, and D.K. Tcheng. Improving reconstructions of plant biodiversity from fossil pollen assemblages: super-resolution microscopy, machine learning, and bioimage informatics. Palaeontological Association annual meeting (Dublin, Ireland; December 2012)
  29. Mander, L., M. Li. W. Mio and S.W. Punyasena. Classification of grass pollen using pattern analysis of texture. Palaeontological Association annual meeting (Dublin, Ireland; December 2012)
  30. Punyasena, S. and D.K. Tcheng. Discriminating black and white spruce pollen using layered machine learning. Abstracts with Programs – Geological Society of America, Geological Society of America, 2012 annual meeting (Charlotte, NC; November 2012)
  31. Mander, L. and S.W. Punyasena. Imaging technology in palynology and its role in the classification of pollen and spores. Abstracts with Programs – Geological Society of America, Geological Society of America, 2012 annual meeting (Charlotte, NC; November 2012)
  32. Tcheng D.K. and S.W. Punyasena. ARLO: an advanced human and machine learning system for automated pollen classification. Abstracts with Programs – Geological Society of America, Geological Society of America, 2012 annual meeting (Charlotte, NC; November 2012)
  33. Mio, W., M. Li, L. Mander, and S.W. Punyasena. Quantifying the complexity of biological shape. Abstracts with Programs – Geological Society of America, Geological Society of America, 2012 annual meeting (Charlotte, NC; November 2012)
  34. Punyasena, S.W. Paleoecology in the era of “big data”. 13th International Palynological Congress and 9th International Organization of Palaeobotany Conference (Tokyo, Japan; August 2012)
  35. Punyasena, S. and D.K. Tcheng. A bias-optimized layered machine-learning framework for high-diversity pollen samples. 13th International Palynological Congress and 9th International Organization of Palaeobotany Conference (Tokyo, Japan; August 2012) [invited]
  36. Mander, L. and S.W. Punyasena. Microscopy and the morphology of pollen grains. 13th International Palynological Congress and 9th International Organization of Palaeobotany Conference (Tokyo, Japan; August 2012) [invited]
  37. Mander, L. and S.W. Punyasena. Seeing the trees for the forest: improving the taxonomic resolution of pollen and spore records of ancient vegetation. 13th International Palynological Congress and 9th International Organization of Palaeobotany Conference (Tokyo, Japan; August 2012)
  38. Jaramillo, C., S.W. Punyasena, Y. Du, F. de la Parra, Ortiz, and C. Moreno. Biostratigraphic dating using maximum likelihood. 13th International Palynological Congress and 9th International Organization of Palaeobotany Conference (Tokyo, Japan; August 2012)
  39. Punyasena, S.W., D.K. Tcheng, and D. Haselhorst. Automating tropical pollen analysis using layered machine learning. Ecological Society of America (Portland, OR; August 2012) [accepted, withdrawn]
  40. Haselhorst, D., J.E. Moreno, and S.W. Punyasena. Variability within the 10-year seasonal Neotropical pollen rain and its implications for paleoenvironmental reconstructions. Ecological Society of America (Portland, OR; August 2012)
  41. Wesseln, C.J., Mander, L., McElwain, J.C. & Punyasena, S.W. The preservation of pollen and spores across the Triassic–Jurassic transition in East Greenland. Geophysical Research Abstracts, 14, 12351 (European Geosciences Union General Assembly 2012) (Vienna, Austria; May 2012)
  42. Punyasena, S.W. Improving the taxonomic resolution, speed, and accuracy of fossil pollen and spore classifications. Histochemical Society Annual Meeting 2012: New Trends in Microscopy and Immunohistochemistry, 31–32 (Woods Hole, MA; March 2012) [invited]
  43. Mander, L., M. Sivaguru, G. Fried, and S.W. Punyasena. 2012. Choosing the best microscopic method for capturing pollen and spore morphology. Histochemical Society Annual Meeting 2012: New Trends in Microscopy and Immunohistochemistry, 31–32 (Woods Hole, MA; March 2012) [poster, invited]
  44. Punyasena, S.W. and D. K. Tcheng. Automated analysis of the reproductive response of two Panamanian forests to ENSO climate variation – a machine learning pilot study. 2012 Macrosystems Biology PI meeting. (Boulder, CO; March 2012) [poster, invited]
  45. Sivaguru, M., L. Mander, G. Fried, and S.W. Punyasena. The morphology of pollen and spores: which microscopy technique? Abstracts with Programs – Geological Society of America, , Geological Society of America, 2011 annual meeting (Minneapolis, MN; October 2011) [poster]
  46. Punyasena, S. Achieving consistent species identifications of fossil pollen – case study Picea. XVIII Congress of the International Union for Quaternary Research (Bern, Switzerland; July 2011)
  47. Punyasena, S.W., and D.K. Tcheng. The discrimintion of morphologically similar pollen using machine learning methods. Abstracts with Programs – Geological Society of America, 42(5): 140, Geological Society of America, 2010 annual meeting (Denver, CO; November 2010)
  48. Kouwenberg, L., and S.W. Punyasena. Fluctuating asymmetry in leaves: a potential proxy for paleoelevation? Abstracts with Programs – Geological Society of America 41(7):105, Geological Society of America, 2009 annual meeting (Portland, OR; November 2009) [poster]
  49. Punyasena, S.W. New interpretations of an old data source: fossil pollen and the reconstruction of neotropical Quaternary paleoclimate. Abstracts with Programs – Geological Society of America 40(6):99, Geological Society of America, 2008 annual meeting (Houston, TX; October 2008) [invited]
  50. Punyasena, S.W. The climatic specialization of neotropical plant families and genera. 12th International Palynological Congress and 8th International Organization of Palaeobotany Conference. Terra Nostra. (Bonn, Germany; August 2008)
  51. Punyasena, S.W. Rethinking pollen morphology:eigenshape analysis of pollen outlines. Abstracts of the proceedings of the 40th annual meeting of the American Association of Stratigraphic Palynologists; Palynology 32:268 (Panama City, Panama; September 2007) [invited]
  52. Punyasena, S.W. The climatic optimization of plant families and the reconstruction of paleoenvironments: A probabilistic approach to estimating paleotemperature and paleoprecipitation in the Neotropics. Botany and Plant Biology 2007 Joint Congress. Botanical Society of America (Chicago, IL; June 2007)
  53. Punyasena, S.W. Estimating Neotropical paleotemperature and paleoprecipitation: the feasibility of using occurrence, abundance, and richness of plant families. Advances in Paleobotany / 23rd Annual Midcontinent Paleobotanical Colloquium (Gainesville, Florida; March 2006) [poster]
  54. Punyasena, S.W., G. Eshel, and J.C. McElwain. Climate and modern neotropical plant distributions: macroecological and paleoecological implications. Abstracts with Programs – Geological Society of America 36(5):95, Geological Society of America, 2004 annual meeting (Denver, CO; November 2004)
  55. Punyasena, S.W., F.E. Mayle, and J.C. McElwain. Response of lowland Bolivian forests to late Quaternary climatic change: interpretations from the fossil pollen record. 7th International Organization of Palaeobotany Conference (Bariloche, Argentina; March 2004)
  56. Punyasena, S.W. Late Quaternary Neotropical vegetation dynamics: climate change, plant response, and the fossil pollen record. Abstracts with Programs – Geological Society of America 35(6):500, Geological Society of America, 2003 annual meeting (Seattle, WA; November 2003) [poster]
  57. Punyasena, S.W. Holocene climate and vegetation response: insights into Neotropical forest autecologies. XVI INQUA Congress: shaping the Earth A Quaternary perspective. Congress of the International Union for Quaternary Research Abstracts 16:113 (Reno, NV; July 2003) [poster]
  58. Punyasena, S.W. Late Quaternary neotropical vegetation dynamics: past patterns and emergent ecologies. 20th Annual Midcontinent Paleobotanical Colloquium (Chicago, Illinois; May 2003)