Dan Brown

Dan Brown

Director and Professor
GIS, remote sensing, spatial modeling; land-use and land-cover dynamics; linking landscape patterns with ecological and social processes

Office: Anderson 102
Phone: 206-685-1928 
Email: danbro@uw.edu


Ph.D. Geography, University of North Carolina at Chapel Hill, 1992
M.A. Geography, University of North Carolina at Chapel Hill, 1989
B.A. Geoenvironmental Studies, Shippensburg University of Pennsylvania, 1987

Recent Publications:
Allington, G.R.H., Li, W., and Brown, D.G. 2017. Urbanization and environmental policy effects on the future availability of grazing resources on the Mongolian Plateau: Modeling socio-environmental system dynamics. Environmental Science and Policy, 68: 35-46.
Xu, H., Brown, D.G., Moore, M.R., and Currie, W.C. 2017. Optimizing spatial land management to balance water quality and economic returns in a Lake Erie watershed. Ecological Economics 145C: 104-114.
Currie, W.S., Kiger, S., Nassauer, J.I., Hutchins, M., Marshall, L.L., Brown, D.G., Riolo, R.L., and Robinson, D.T. 2016. Multi-scale heterogeneity in vegetation and soil carbon in exurban residential land in Southeastern Michigan. Ecological Applications 26(5):1421-1436.
Taylor, J.J., Lepczyk, C.A., and Brown, D.G. 2016. Patch and matrix level influences on forest birds at the rural-urban interface. Landscape Ecology 31(5): 1005-1020.
Tian, Q., Holland, J.H., Brown, D.G. 2016. Social and economic impacts of subsidy policies on rural development in the Poyang Lake Region, China: insights from an agent-based model. Agricultural Systems 148: 12-27.
Sylvester, K.M., Brown, D.G., Leonard, S.H., Merchant, E., and Hutchins, M. 2015. Exploring agent-level calculations of risk and returns in relation to observed land-use changes in the US Great Plains, 1870-1940. Regional Environmental Change 15(2): 301-315. doi: 10.1007/s10113-014-0628-6
Wilson, C.R., Brown, D.G. 2015. Changes in visible impervious surface area in Southeastern Michigan before and after the “Great Recession:” Spatial differentiation in remotely sensed land-cover dynamics. Population and Environment 36(3): 331-355.
Kahan, A.Y., Currie, W.S., and Brown, D.G. 2014. Nitrogen and carbon biogeochemistry in forest sites along an indirect urban-rural gradient in Southeastern Michigan. Forests 5(4): 643-665. doi:10.3390/f5040643
Magliocca, N.R., Brown, D.G., and Ellis, E.C. 2014. Cross-site comparison of land-use decision-making across land system with a virtual agent-based laboratory. PLoS One 9(1): e86179. doi:10.1371/journal.pone.0086179
Magliocca, N.R., Brown, D.G., McConnell, V., Nassauer, J.I., and Westbrook, S.E. 2014. Effects of alternative developer decision-making models on the production of ecological subdivision designs: Experimental results from an agent-based model. Environment and Planning B doi:10.1068/b130118p
Nassauer, J. I., Cooper, D.A., Marshall, L.L., Currie, W.S., Hutchins, M., Brown, D.G. 2014. Parcel size related to household behaviors affecting carbon storage in exurban residential landscapes. Landscape and Urban Planning 129: 55-64. doi: 10.1016/j.landurbplan.2014.05.007
Rounsevell, M.D.A., A. Arneth, P. Alexander, D. G. Brown, N. de Noblet-Ducoudré, E. Ellis, J. Finnigan, K. Galvin, N. Grigg, I. Harman, J. Lennox, N. Magliocca, D. Parker, B. C. O'Neill, P. H. Verburg, and O. Young. 2014. Towards decision-basedd global land use models for improved understanding of the Earth system. Earth System Dynamics Discussions 5: 117-137. doi:10.5194/esd-5-117-2014
Sha, Z., Brown, D.G., Xie, Y. Welsh, W.F., and Bai, Y. 2014. Response of spectral vegetation indices to a stocking rate experiment in Inner Mongolia, China. Remote Sensing Letters 5(10): 912-921.
Sun, S., Parker, D.C., Huang, Q., Filatova, T., Robinson, D.T., Riolo, R.L., Hutchins, M., and Brown, D.G. 2014. Market impacts on land-use change: An agent-based experiment. Annals of the Association of American Geographers 104(3): 460-484. doi:10.1080/00045608.2014.892338
Brown, D.G., Verburg, P.H., Pontius, R.G., and Lange, M.D. 2013. Opportunities to improve impact, integration, and evaluation of land change models. Current Opinion on Environmental Sustainability 5(5): 452-457.