Stephen R Yool

Interests

Teaching

Remote Sensing; biophysical geography.

Research

Remote Sensing, Pyrogeography, Disease

Courses

Scholarly Contributions

Chapters

• Yool, S. R., & Comrie, A. C. (2014). A taste of place: environmental geographies of the classic beer styles. In The Geography of Beer(pp tbd). Springer.
  More info

  The environmental geographies of beer can be viewed as a coupling of Earth's elements (yeast; hops; malt; water) and brewing ingenuity. Yeast literally brings life to beer, contributing distinctive flavors and frothiness. Hops do best at cooler latitudes, and in wetter climates, where soils, day length, temperature, rainfall and terrain all influence regional hop characteristics. Brewing malts are cultivated, mostly, in a cool swath of countries just poleward of 45 degrees north latitude. Mixtures of minerals found in local water supplies impart characteristic flavors and mouth feel to beers brewed there. The geographic combination of variations in yeast, hops, malt and water produce, we argue, a "taste of the place" that one can term the "terroir" of beer. Climate change could, however, modify beer terroir. A warming planet would alter the latitudinal range of future hop and malt cultivation, leading to changes in supplies, quality, and prices.

Journals/Publications

• Swetnam, T. L., Lynch, A. M., Falk, D. A., Yool, S. R., & Guertin, D. P. (2015). Discriminating disturbance from natural variation with LiDAR in semi-arid forests, Southwestern USA. EcoSphere, 6(6 Art. 97), 1-21. doi:http://dx.doi.org/10.1890/ES14-00384.1
• Swetnam, T. L., Falk, D. A., Lynch, A. M., & Yool, S. R. (2014). Estimating individual tree mid- and understory rank-size distributions from airborne laser scanning in semi-arid forests.. Forest Ecology and Management, tbd(tbd), tbd.
• Yool, S. R., Falk, D. A., & Lynch, A. M. (2014). Predicting rank-size distributions of forest mid- and understory in two semi-arid conifer forests with an aerial LiDAR derived forest inventory. Forest Ecology and Management, tbd(tbd), tbd.
• Yool, S. R., Sugg, Z., Finke, T., Goodrich, D., & Moran, M. S. (2014). Impervious Surfaces Using Object-oriented Classification in a Semiarid Urban Region.. Photogrammetric Engineering and Remote Sensing, tbd(tbd), tbd.
• Yool, S. R., Swetnam, T., Falk, D. A., & Lynch, A. M. (2014). Characterizing forest structure and disturbance legacies with aerial LiDAR using Getis-Ord Gi* and Anselin Moran's I local indicators of spatial association. Landscape Ecology, tbd(tbd), tbd.
• Delgado, S., Yool, S. R., Delgado, S., Ernst, K. C., Pumahuaca, M. L., Gilman, R., Comrie, A. C., Yool, S. R., Ernst, K. C., Comrie, A. C., Sterling, C. R., Sterling, C. R., Gilman, R., Naquira, C., Naquira, C., Pumahuaca, M. L., Levy, M., & Levy, M. (2013). A country bug in the city: urban infestation by the Chagas disease vector Triatoma infestans in Arequipa, Peru. International Journal of Health Geographics.
• Yool, S. R., & Pianalto, F. S. (2013). Monitoring fugitive dust emission sources arising from construction: a remote sensing approach. GIScience & Remote Sensing, 3(50), 251-270.
• Yool, S. R., O'Neal, K., Loboda, T. V., & Rogan, J. (2013). Woody plant encroachment in semi-arid Madrean grasslands of southeastern Arizona. The Southwestern Geographer, 16.

Poster Presentations

• Swetnam, T., Lynch, A., Falk, D. A., Yool, S. R., & Guertin, D. P. (2014, Fall). Discriminating Natural Variation from Legacies of Disturbance in Semi-Arid Forests, Southwestern USA. AGU Fall Meeting. San Francisco: AGU.