- Drivers of spatial patterns of biodiversity
- Quantification of agricultural intensification
- Land-use change
- Agricultural land-use legacies
- Flipped classroom
- Blended learning
- Experiential learning
- Learning theory
- Instructional theory
Augmented Forests: Supplementing Forestry Field Instruction with Virtual Field Instruction and Dynamic Adaptive Quizzing to Build Skills and Knowledge Planning
The ability to identify indicator plant species is a critical skill for forestry students. In FRST 201 – Forest Ecology, students learn to identify 70 key plant species and the soil moisture and soil nutrient conditions that they indicate. This knowledge is requisite for subsequent courses in the forestry curriculum. The identification and characteristics of these plants is taught in the field, but dramatically increasing enrollment and language challenges (with an increasing number of ESL students) makes it more challenging for students to see, examine, and learn the plants in the field. We seek to improve student plant identification skills and knowledge by supplementing field instruction with engaging web-based resources to support student self-study of these plants and their characteristics. We will produce professional videos showing these plants and their characteristics, and we will develop a web-based, dynamic quizzing system to allow students to practice their skills and test their knowledge. These resources support significant self-study outside of field instruction.
Reducing language-related extraneous cognitive load for non-native English-speaking students in the Faculty of Forestry Current
International students comprise 35% of the undergraduate student body in the Faculty of Forestry, and language issues are a serious barrier to learning for non-native English speakers. Using a Cognitive Load Theory framework, we will test various principles of multimedia learning in creating videos for a blended-learning environment to improve learning for non-native English speakers while still supporting native speakers.
Selected PublicationsLyon, A., W. Tracy, M. Colley, P. Culbert, M. Mazourek, J. Myers, J. Zystro, and E. M. Silva. (2020). Adaptability analysis in a participatory variety trial of organic vegetable crops. Renewable Agriculture and Food Systems 35(3), 296-312
Patrick Culbert (2020). Supplementing forestry field instruction with video and online dynamic quizzing. Natural Sciences Education. 49:e20015
Patrick D. Culbert, Ine Dorresteijn, Jacqueline Loos, Murray K. Clayton, Joern Fischer, Tobias Kuemmerle (2017). Legacy effects of past land use on current biodiversity in a low-intensity farming landscape in Transylvania (Romania) Springer Culbert, P.D., Dorresteijn, I., Loos, J. et al. Landscape Ecol (2017) 32: 429. doi:10.1007/s10980-016-0441-3
Wood, E. M., A. M. Pidgeon, V. C. Radeloff, D. P. Helmers, P. D. Culbert, N.S. Keuler, and C. H. Flather (2015). Long-term avian community response to housing development at the boundary of US protected areas: effect size increases with time. Journal of Applied Ecology, 52(5), 1227–1236.
Wood, E. M., A. M. Pidgeon, V. C. Radeloff, D. Helmers, P. D. Culbert, N. S. Keuler, and C. H. Flather. (2014). Housing development erodes avian community structure in U.S. protected areas. Ecological Applications, 24:1445-1462.
Culbert, P. D., V.C. Radeloff, C. H. Flather, J. M. Kellndorfer, C.D. Rittenhouse, and A. M. Pidgeon. (2013). The influence of vertical and horizontal habitat structure on nationwide patterns of avian biodiversity. The Auk, 130(4):656-665.
Culbert, P. D., V. C. Radeloff, V. St-Louis, C. H. Flather, C. D. Rittenhouse, T. P. Albright, and A. M. Pidgeon. (2012). Modeling broad-scale patterns of avian species richness across the Midwestern United States with measures of satellite image texture. Remote Sensing of Environment, 118:140-150.
Rittenhouse C. D., A. M. Pidgeon, T. P. Albright, P. D. Culbert, M. K. Clayton, C. H. Flather, J. G. Masek, and V. C. Radeloff. (2012). Land cover change and avian diversity in the conterminous United States. Conservation Biology, 26(5): 821-829.
Albright, T. P., A. M. Pidgeon, C. D. Rittenhouse, M. K. Clayton, C. H. Flather, P. D. Culbert, and V. C. Radeloff. (2011). Heat waves measured with MODIS land surface temperature data predict changes in avian community structure. Remote Sensing of Environment, 115: 245-254.
Albright, T. P., A. M. Pidgeon, C. D. Rittenhouse, M. K. Clayton, B. D. Wardlow, C. H. Flather, P. D. Culbert, and V. C. Radeloff. (2010). Combined effects of heat waves and droughts on avian communities across the conterminous United States. Ecosphere, 1(5): article 12.
Albright, T. P., A. M. Pidgeon, C. D. Rittenhouse, M. K. Clayton, C. H. Flather, P. D. Culbert, B. D. Wardlow, and V. C. Radeloff. (2010). Effects of drought on avian community structure. Global Change Biology, 16: 2158-2170.
Rittenhouse C. D., A. M. Pidgeon, T. P. Albright, P. D. Culbert, M. K. Clayton, C. H. Flather, C. Huang, J. G. Masek, S. I. Stewart, and V. C. Radeloff. (2010). Conservation of forest birds: evidence of a shifting baseline in community structure. PLOS One, 5(8): e11938.
Rittenhouse C. D., A. M. Pidgeon, T. P. Albright, P. D. Culbert, M. K. Clayton, C. H. Flather, C. Huang, J. G. Masek, and V. C. Radeloff. (2010). Avifauna response to hurricanes: regional changes in community similarity. Global Change Biology, 16(3): 905-917.
Culbert, P. D., A. M. Pidgeon, V. St-Louis, D. Bash, and V. C. Radeloff. (2009). The impact of phenological variation on texture measures of remotely sensed imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2(4): 299-309.
Rowhani, P., C. A. Lepczyck, M. Linderman, A. M. Pidgeon, V. C. Radeloff, P. D. Culbert, and E. Lambin. (2008). Variability in energy influences avian distribution patterns across the U.S.A. Ecosystems, 11(6): 854-867.