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Todd Lookingbill, Research Assistant Professor
Full Curriculum Vitae
Phone: 301.689.7203
Fax: 301.689.7200
Email: 		   
Research Interests - click for more information
  • Forest Community Ecology
  • Spatial Analysis and Landscape Scaling
  • Ecosystem-based Adaptive Management
  • Hydroecological Modeling
  • Urban Ecology
 
Education

2003  Ph.D.

 Duke University, Nicholas School of the Environment and Earth Sciences
Durham, NC- Ecology

1995  B.A.

 Princeton University, Princeton, NJ - Ecology
 
Professional Experience

2005-Present

Research Assistant Professor, University of Maryland Center for Environmental Science, Appalachian Laboratory, Frostburg, MD

2004-2005

Postdoctoral Researcher, Inventory and Monitoring Program, National Park Service, Appalachian Laboratory, Frostburg, MD

2003-2004

Lecturer, Department of Geography, University of North Carolina, Chapel Hill, NC

1998-2004

Research and Teaching Assistant, Landscape Ecology Laboratory, Duke University, Durham, NC

1995-1998

Research Associate, Industrial Economics Environmental Consulting, Cambridge, MA

1995

Teacher, EIKEN School for English, Tokyo, Japan

 
Selected Publications
  • Gardner, R., T. Lookingbill, P. Townsend, J. Ferrari. 2008. A general approach for rescaling land cover data. Landscape Ecology. 25:513-526.
  • Vogt. P., J.R. Ferrari, T.R. Lookingbill, R.H. Gardner, K.H.  Riitters, K. Ostapowicz. 2008. Mapping functional connectivity. Ecological Indicators. online 10.1016 j.ecolind.2008.01.011.
  • Lookingbill, T., R. Gardner, P. Townsend, & S. Carter. 2007. Conceptual models as hypotheses in monitoring of urban landscapes. Environmental Management. 40:171-182.
  • Dennison, W., T. Lookingbill, T. Carruthers, J. Hawkey & S. Carter. 2007. An eye opening approach to integrated environmental assessments. Frontiers in Ecology and the Environment. 5:307-314.
  • Ferrari, J., T. Lookingbill & M. Neel. 2007. Two measures of landscape-graph connectivity: assessment across gradients in area and configuration. Landscape Ecology. 22:1315-1323.
  • Lookingbill, T. & D. Urban. 2005. Gradient analysis, the next generation: Towards more plant-relevant explanatory variables. Canadian Journal of Forest Research 35: 1744-1753.
  • Pierce, K., T. Lookingbill, & D. Urban. 2005. Beyond slope and aspect: a simple method for obtaining estimates of radiation for vegetation analysis. Landscape Ecology 20:137-147.
  • Lookingbill, T., N. Goldenberg, & B. Williams. 2004. Understory plants as soil moisture indicators in Oregon's Western Cascades old-growth forests. Northwest Science 78:214-224.
  • Lookingbill, T. & D. Urban. 2004. An empirical approach towards improved spatial estimates of soil moisture for vegetation analysis. Landscape Ecology 19:417-433.
  • Lookingbill, T. & D. Urban. 2003. Spatial estimation of air temperature differences for landscape-scale studies in montane environments. Agricultural and Forest Meteorology 114:141-151.
  • Urban, D., S. Goslee, K. Pierce, & T. Lookingbill. 2002. Extending community ecology to landscapes. Ecoscience 9:200-212.
  • Lookingbill, T. & M. Zavala. 2000. Spatial pattern of Quercus ilex and Quercus pubescens recruitment in Pinus halepensis dominated woodlands. Journal of Vegetation Science 11:607-612.
 
Selected Research Projects

Communities in Transition: Forest Community Response to Climate Change – A landscape-scale study of the relationships between physical environmental gradients and forest community pattern in the Oregon Western Cascades. Results are being used to predict how these forests may respond to climate change scenarios. Funded by the National Science Foundation.

Conceptual Models, Diagrams, and an Information Navigation System for Natural Resource Monitoring – The construction of rigorous models that illustrate relationships between environmental monitoring indicators and ecosystem resources, stressors, and management objectives for 11 parks within the National Capital Region. The development of an efficient navigation framework to organize and distribute data at multiple spatial-temporal scales and of conceptual diagrams to communicate findings is being done in collaboration with UMCES Integration and Application Network (IAN). Funded by the National Park Service.

Remote Sensing and Landscape Pattern Monitoring Protocols – The protocols employ remote sensing imagery from multiple platforms to monitor spatially explicit ecological indicators of landscape pattern for the National Capital Region Network of National Parks. Funded by the National Park Service.

Exacerbation of Flooding Responses Due to Land Cover/Land Use Change - A comparative, multi-scale hydrological analysis to understand and predict the relationship between flooding and land cover/land use change associated with the extraction of natural resources (primarily coal and timber) in the Appalachian Mountain region of the eastern U.S. and the Carpathian Mountain region of Ukraine. Funded by the National Aeronautics and Space Administration.

 
Teaching Activities
Landscape Ecology, MEES 614 (4 credits) - fall of even-numbered years

The goal of this course is to give students a firm grasp of the concepts of landscape ecology and of how these concepts can be applied to enhance the effectiveness of environmental policy, assessment, and management.
The course considers a variety of concepts important in landscape ecology, including: fragmentation and land-use change; characteristic spatial and temporal scales of ecological events; physical and biological agents of landscape pattern; disturbance and landscape equilibrium; the role of models in studying landscapes; and applications of landscape ecology to monitoring, conservation, and restoration with special emphasis on the Chesapeake Bay watershed.
 
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