Wilson Lab

Department of Geography
Graduate Program in Evolution, Ecology and Behavior
University at Buffalo
Buffalo NY


Research in the lab focuses on the spatial patterns and processes of biodiversity and ecosystem function. We use remote sensing and field observations together with mechanistic and statistical modelling to understand how ecosystems change through space and time.


  1. An Introduction to R for Spatial Analysis and Mapping, by ChrisBrunsdon and LexComber. 2015. London: Sage Publication Ltd. 343 + xii. ISBN: 9781446272954. $52.00. (2016) Jared Aldstadt, Adam M. Wilson, Journal of Regional Science 10.1111/jors.12271
  2. Remotely Sensed High-Resolution Global Cloud Dynamics for Predicting Ecosystem and Biodiversity Distributions (2016) Adam M. Wilson, Walter Jetz, Michel Loreau, PLoS Biol 10.1371/journal.pbio.1002415 (12 citations) Altmetric361.4; Media Links: World Economic Forum, Washington Post, Washington Post, Washington Post, Grist, Scientific America - Spain, LiveScience, Climate Central, Vox.com, Quartz, ICI.Radio-Canada.ca, Space Daily, R&D Mag, Headlines & Global News, Science Daily, EurekAlert!, Environmental Monitor, La Repubblica, Environmental Research Web, Futurity, New York Times, New York Times, El Pas, Chennai Online , Phys.org, New Kerala, Big News Network, Yahoo! News India, Technology.org, Space Daily, Laboratory Equipment , Newswise, Science Daily, Discovery News, Yale News, Phys.org, EurekAlert!, EurekAlert!,
  3. Using multi-timescale methods and satellite-derived land surface temperature for the interpolation of daily maximum air temperature in Oregon (2015) , International Journal of Climatology 10.1002/joc.4251 (7 citations) Altmetric0.3; Media Links:
  4. Climatic Influences on Survival of Migratory African Reed Warblers Acrocephalus baeticatus in South Africa (2015) Dorine Y.M. Jansen, Adam M. Wilson, Res Altwegg, Ardea 10.5253/arde.v103i2.a5 (1 citations) Altmetric5.3; Media Links:
  5. Model-based integration of observed and expert-based information for assessing the geographic and environmental distribution of freshwater species (2015) Sami Domisch, Adam M. Wilson, Walter Jetz, Ecography 10.1111/ecog.01925 (5 citations) Altmetric7.8; Media Links:
  6. Wikipedia Content Volatility (2015) Wilson;, 10.6084/m9.figshare.1397533 Altmetric23.1; Media Links: Arstechnica,
  7. Climatic controls on ecosystem resilience: Postfire regeneration in the Cape Floristic Region of South Africa (2015) , Proceedings of the National Academy of Sciences 10.1073/pnas.1416710112 (5 citations) Altmetric37.9; Media Links: Nature World News, Technology.org, Phys.org,
  8. Content Volatility of Scientific Topics in Wikipedia: A Cautionary Tale (2015) Adam M. Wilson, Gene E. Likens, Hussein Suleman, PLoS ONE 10.1371/journal.pone.0134454 (1 citations) Altmetric315.3; Media Links: El Confidencial, Spektrum, Washington Post, Yahoo! News, Science News, forskning.no, Arstechnica, De Wereld Morgen, New Statesman, Tech Times, R&D, Washington Post, Wired.co.uk, Gizmodo, Real Clear Science,
  9. Green-up of deciduous forest communities of northeastern North America in response to climate variation and climate change (2014) Yingying Xie, Kazi F. Ahmed, Jenica M. Allen, Adam M. Wilson, John A. Silander, Landscape Ecol 10.1007/s10980-014-0099-7 (4 citations)
  10. An Assessment of Methods and Remote-Sensing Derived Covariates for Regional Predictions of 1 km Daily MaximumAir Temperature (2014) Benoit Parmentier, Brian McGill, Adam Wilson, James Regetz, Walter Jetz, Robert Guralnick, Mao-Ning Tuanmu, Natalie Robinson, Mark Schildhauer, Remote Sensing 10.3390/rs6098639 (6 citations)
  11. Systematic land cover bias in Collection 5 MODIS cloud mask and derived products A global overview (2014) Adam M. Wilson, Benoit Parmentier, Walter Jetz, Remote Sensing of Environment 10.1016/j.rse.2013.10.025 (23 citations)
  12. From imperfection to inference: issues of scale and uncertainty in global change biology (2014) , 10.6084/m9.figshare.947682
  13. Incorporating satellite derived cloud climatologies to improve high resolution interpolation of daily precipitation (2014) , 10.6084/m9.figshare.951959
  14. Uncertainty, priors, autocorrelation and disparate data in downscaling of species distributions (2014) Petr Keil, Adam M. Wilson, Walter Jetz, Llus Brotons, Diversity Distrib. 10.1111/ddi.12199 (8 citations) Altmetric4.6; Media Links:
  15. On using integral projection models to generate demographically driven predictions of species' distributions: development and validation using sparse data (2014) Cory Merow, Andrew M. Latimer, Adam M. Wilson, Sean M. McMahon, Anthony G. Rebelo, John A. Silander, Ecography 10.1111/ecog.00839 (35 citations) Altmetric7.4; Media Links:
  16. Modeling daily flowering probabilities: expected impact of climate change on Japanese cherry phenology (2014) Jenica M. Allen, Maria A. Terres, Toshio Katsuki, Kojiro Iwamoto, Hiromi Kobori, Hiroyoshi Higuchi, Richard B. Primack, Adam M. Wilson, Alan Gelfand, John A. Silander, Glob Change Biol 10.1111/gcb.12364 (7 citations) Altmetric10.4; Media Links:
  17. A new class of flexible link functions with application to species co-occurrence in cape floristic region (2013) Xun Jiang, Dipak K. Dey, Rachel Prunier, Adam M. Wilson, Kent E. Holsinger, Ann. Appl. Stat. 10.1214/13-aoas663 (11 citations)
  18. Estimating uncertainty in daily weather interpolations: a Bayesian framework for developing climate surfaces (2013) Adam M. Wilson, John A. Silander, Int. J. Climatol. 10.1002/joc.3859 (15 citations)
  19. Bias correction and downscaling of climate model outputs for climate change impact assessments in the U.S. Northeast (2013) , Global and Planetary Change 10.1016/j.gloplacha.2012.11.003
  20. Downscaling of species distribution models: A hierarchical approach (2013) Keil, Belmaker, Wilson, Unitt, Jetz, Methods in Ecology and Evolution 10.1111/j.2041-210x.2012.00264.x (29 citations) Altmetric2.8; Media Links:
  21. Evaluation of satellite-derived burned area products for the fynbos, a Mediterranean shrubland (2012) De Klerk, Wilson, Steenkamp, International Journal of Wildland Fire 10.1071/wf11002 (9 citations)
  22. Scaling up: Linking field data and remote sensing with a hierarchical model (2011) Wilson, Silander, Gelfand, Glenn, International Journal of Geographical Information Science 10.1080/13658816.2010.522779 (12 citations)
  23. Point pattern modelling for degraded presence-only data over large regions (2011) Chakraborty, Avishek, Journal of the Royal Statistical Society Series C-Applied Statistics 10.1111/j.1467-9876.2011.01023.x (47 citations)
  24. Developing Dynamic Mechanistic Species Distribution Models: Predicting Bird-Mediated Spread of Invasive Plants across Northeastern North America (2011) Merow, C, American Naturalist 10.1086/660295 (38 citations)
  25. MODELING LARGE SCALE SPECIES ABUNDANCE WITH LATENT SPATIAL PROCESSES (2010) Chakraborty, A, Annals of Applied Statistics 10.1214/10-aoas335
  26. A Hierarchical Bayesian model of wildfire in a Mediterranean biodiversity hotspot: Implications of weather variability and global circulation (2010) Wilson, AM, Ecological Modelling 10.1016/j.ecolmodel.2009.09.016 (45 citations) Altmetric1.0; Media Links:
  27. Identifying hotspots for plant invasions and forecasting focal points of further spread (2009) Ibanez, I, Journal of Applied Ecology 10.1111/j.1365-2664.2009.01736.x (47 citations)
  28. Spatial and interspecific variability in phenological responses to warming temperatures (2009) Primack, RB, Biological Conservation 10.1016/j.biocon.2009.06.003 (137 citations)
  29. Multivariate forecasts of potential distributions of invasive plant species (2009) Ibez, Silander Jr., Wilson, Lafleur, Tanaka, Tsuyama, Ecological Applications 10.1890/07-2095.1 (77 citations) Altmetric3.0; Media Links:
  30. Are there spurious precipitation trends in the United States Climate Division database? (2005) Keim, Fischer, Wilson, Geophysical Research Letters 10.1029/2004gl021985 (41 citations)
  31. Air pollution, weather, and respiratory emergency room visits in two northern New England cities: An ecological time-series study (2005) Wilson, Wake, Kelly, Salloway, Environmental Research 10.1016/j.envres.2004.07.010 (89 citations) Altmetric0.3; Media Links:
  32. Air pollution and the demand for hospital services: A review (2004) WILSON, AM, ENVIRONMENT INTERNATIONAL 10.1016/j.envint.2004.01.004 (66 citations) Altmetric3.0; Media Links:
  33. Are there spurious temperature trends in the United States Climate Division database? (2003) Barry D. Keim, Adam M. Wilson, Cameron P. Wake, Thomas G. Huntington, Geophys. Res. Lett. 10.1029/2002gl016295 (63 citations)


R Data Science (GEO 503)

'Big Data' in ecology and environmental science now allow us to address important questions (both old and new) with unprecedented rigor and generality. Leveraging these new data streams requires new tools and increasingly sophisticated workflows. The free and open-source R programming language has become a lingua franca for ecological, epidemiological, and statistical research. The course will use a combination of lecture and hands-on exercises to provide a gentle introduction to programming in R with a focus on spatial data processing.

Environmental Science (GEO104)

Environmental science is the interdisciplinary study of the physical, chemical, and biological systems that sustain life on our planet. In this course we will explore current environmental challenges such as the conservation of biodiversity, the sustainable production of energy, and the implications of human population growth. The processes of scientific inquiry and discovery will be emphasized through investigation of specific case studies and the critical evaluation of the underlying scientific evidence.

Environmental Modeling (GEO 479/559)

This is an intermediate level GIS course designed for senior undergraduate students and graduate students. Students are expected to have basic knowledge of GIS through either completing an introductory level GIS course or having entry level work experiences with GIS.

Lab Members

Adam M. Wilson

Assistant Professor

Global change biology, Biodiversity, remote sensing, hierarchical statistical modeling

Yingying Xie

Postdoctoral Associate

Plant phenology mechanisms, spatio-temporal plant phenological shifts under future climate change

Chenyang Wei

Geography PhD Student

Ecology, remote sensing, and geographic information science

Larry Kaminski

Evolution, Ecology, and Behavior MSc. Student

Remote sensing and ecological modeling

Yating Chen

Geography MSc. Student

Climate change and geography

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120 Wilkeson Quad, Department of Geography, University at Buffalo, Buffalo, NY 14214

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