Meghan Graham MacLean
Lecturer of Quantitative Ecology, Department of Environmental Conservation
B.S., Clarkson University, 2006
M.S., Univesity of New Hampshire, 2008
Ph.D., University of New Hampshire, 2012
I am passionate about collaborating with forestry, environmental, and community leaders at all levels to better understand the human-environment interactions that impact our forest ecosystems. As a researcher, my work uses innovative quantitative methods to explore how the forested landscape is changing due to human and climate pressures, the impacts of these changes on forest ecosystems and carbon dynamics, as well as how to monitor and model these changes with the goal of informing policy and management decisions. I also enjoy weaving my research and teaching together to both study and practice inclusive pedagogy within Science, Technology, Engineering, and Mathematics (STEM).
MacLean, M.G., J. Holt, M. Borsuk, M. Markowski-Lindsay, B.J. Butler, D.B. Kittredge, M.J. Duveneck, D. Laflower, D. Orwig, J.R. Thompson, 2020. Potential impacts of insect induced salvage harvests in mixed forests. Forests. https://doi.org/10.3390/f11050498.
Beaury, E.M., A. Barker-Plotkin, C. Brown-Lima, E.J. Fusco, B. Griffin, S. Jourbran, B.B. Laginhas, M.G. MacLean, L. Munro, M. Nelson, S. Talbot, B.A. Bradley, 2020. Regional Invasive Species & Climate Change Management Challenge: Taking Action. Managing invasive species in the context climate change. RISCC outreach publication. https://doi.org/10.7275/k8q5-4f71.
Markowski-Lindsay, M., M. Borsuk, B.J. Butler, M.J. Duveneck, J. Holt, D.B. Kittredge, D. Laflower, M.G. MacLean, D. Orwig, and J.R. Thompson, 2020. Compounding the disturbance: Family forest owner reactions to invasive forest insects. Ecological Economics. 167. DOI: 10.1016/ j.ecolecon.2019.106461.
Holt, J., M.G. MacLean, M. Borsuk, M. Markowski-Lindsay, B.J. Butler, D.B. Kittredge, D. Orwig, D. Laflower, J.R. Thompson, 2019. Classifying landowners into functional types to characterize responses to forest insects. People and Nature. DOI: 10.1002/pan3.10065
Graham, K.K., and M.G. MacLean, 2018. Presence-only modeling is ill-suited for a recent generalist invader, Anthidium manicatum. Ecological Indicators. 89:56-62. DOI: 10.1016/j.ecolind.2018.02.002
MacLean, M.G., 2017. Edge influence detection using aerial LiDAR in Northeastern US deciduous forests. Ecological Indicators. 72:310–314. DOI: 10.1016/j.ecolind.2016.08.034
MacLean, M.G., H. Hertler, and M. Seifert, 2016. Undergraduate research at The School for Field Studies (SFS) Center for Marine Resource Studies in the Turks and Caicos Islands. In: How Undergraduate Research Advances Science Policy, Spring CUR Quarterly. 36(3):21-27. DOI: 10.18833/curq/36/3/3.
MacLean, M.G., and R.G. Congalton, 2015. A comparison of landscape fragmentation analysis programs for identifying possible invasive plant species locations in forest edge. Landscape Ecology. 30(7):1241-1256. DOI: 10.1007/s10980-015-0175-7.
Winrich, C., V.L. Rodgers, M.G. MacLean, D.M. Blodgett, and J. Schaefer, 2015. Science Education as Entrepreneurial Thought and Action® Methodology. In V.L. Crittenden, K. Esper, N. Karst, and R. Slegers (Eds.) Evolving Entrepreneurial Education: Innovation in the Babson Classroom (pp. 159-174). Bingley, UK: Emerald Group Publishing Limited.
MacLean, M.G., and R.G. Congalton, 2013b. PolyFrag: A vector-based program for computing landscape metrics. Journal of GIScience and Remote Sensing. 50(6):591-603.
MacLean, M.G., and R.G. Congalton, 2013a. Applicability of multi-date land cover mapping using Landsat 5TM imagery in the Northeastern US. Photogrammetric Engineering & Remote Sensing. 79(4):359-368.
MacLean, M.G., M.J. Campbell, D.S. Maynard, M.J. Ducey, and R.G. Congalton, 2013. Requirements for prism sampling polygons in an object-based image analysis classification. International Journal of Remote Sensing. 34(7):2531-2547.
MacLean, M.G., and R. Congalton, 2011. Investigating issues in map accuracy when using an object-based approach to map benthic habitats. Journal of GIScience and Remote Sensing. 48(4):457-477.