Adam Wilson

Postdoctoral Fellow
Yale University
Adam M. Wilson, Ph.D., is a postdoctoral fellow at the Yale Climate and Energy Institute where he studies the ecological implications of global environmental change. Dr. Wilson earned his Ph.D. in Ecology and Evolutionary Biology at the University of Connecticut with interdisciplinary research in South Africa investigating the effects of climate change on species distributions, ecosystem resilience, and wildfire. Prior to his doctoral work, Wilson served as a community forestry agent in the Moroccan Arganeraie Biosphere Reserve with the U.S. Peace Corps. Before that he earned a M.Sc. in Earth Science (concentrating in climate change) and B.Sc. in Biology (concentrating in ecology) at the University of New Hampshire. Concurrently, he examined historical climate records at the Climate Change Research Center and served as the project coordinator for the Integrated Human Health and Air Quality Research Project. Wilson has worked in the temperate forests of eastern North America and Patagonia, the arctic tundra of Alaska, the desert margins of Morocco, the wet tropical rainforests of Costa Rica, the monsoonal tropical forests of southern India, and the savanna and shrublands of South Africa.

Publications

  • Downscaling of species distribution models: A hierarchical approach DOI: 10.1111/j.2041-210x.2012.00264.x
  • Statistical downscaling and bias correction of climate model outputs for climate change impact assessment in the U.S. northeast DOI: 10.1016/j.gloplacha.2012.11.003
  • Evaluation of satellite-derived burned area products for the fynbos, a Mediterranean shrubland DOI: 10.1071/WF11002
  • Developing Dynamic Mechanistic Species Distribution Models: Predicting Bird-Mediated Spread of Invasive Plants across Northeastern North America ISSN: 0003-0147
  • Developing dynamic mechanistic species distribution models: Predicting bird-mediated spread of invasive plants across northeastern North America DOI: 10.1086/660295
  • Point pattern modelling for degraded presence-only data over large regions DOI: 10.1111/j.1467-9876.2011.01023.x
  • Point pattern modelling for degraded presence-only data over large regions DOI: 10.1111/j.1467-9876.2011.01023.x
  • Scaling up: Linking field data and remote sensing with a hierarchical model DOI: 10.1080/13658816.2010.522779
  • Scaling up: linking field data and remote sensing with a hierarchical model DOI: 10.1080/13658816.2010.522779
  • A Hierarchical Bayesian model of wildfire in a Mediterranean biodiversity hotspot: Implications of weather variability and global circulation ISSN: 0304-3800
  • A Hierarchical Bayesian model of wildfire in a Mediterranean biodiversity hotspot: Implications of weather variability and global circulation DOI: 10.1016/j.ecolmodel.2009.09.016
  • MODELING LARGE SCALE SPECIES ABUNDANCE WITH LATENT SPATIAL PROCESSES DOI: 10.1214/10-AOAS335
  • Modeling large scale species abundance with latent spatial processes DOI: 10.1214/10-AOAS335
  • Identifying hotspots for plant invasions and forecasting focal points of further spread ISSN: 0021-8901
  • Identifying hotspots for plant invasions and forecasting focal points of further spread DOI: 10.1111/j.1365-2664.2009.01736.x
  • Multivariate forecasts of potential distributions of invasive plant species ISSN: 1051-0761
  • Multivariate forecasts of potential distributions of invasive plant species DOI: 10.1890/07-2095.1
  • Spatial and interspecific variability in phenological responses to warming temperatures ISSN: 0006-3207
  • Spatial and interspecific variability in phenological responses to warming temperatures DOI: 10.1016/j.biocon.2009.06.003
  • Air pollution, weather, and respiratory emergency room visits in two northern New England cities: An ecological time-series study DOI: 10.1016/j.envres.2004.07.010
  • Are there spurious precipitation trends in the United States Climate Division database? DOI: 10.1029/2004GL021985
  • Air pollution and the demand for hospital services: A review ISSN: 0160-4120
  • Are there spurious temperature trends in the United States Climate Division database?
  • Bias correction and downscaling of climate model outputs for climate change impact assessments in the U.S. Northeast DOI: http://dx.doi.org/10.1016/j.gloplacha.2012.11.003
  • Systematic land cover bias in Collection 5 MODIS cloud mask and derived products — A global overview DOI: 10.1016/j.rse.2013.10.025