
William Hargrove
Research EcologistAsheville, NC 28804-3454
william.w.hargrove@usda.gov
Current Research
Designing a national early warning system using satellite imagery that will examine the lower 48 United States at 500m resolution every 8 days to locate potential forest threats
Research Interests
My research interests include landscape ecology, ecoregionalization, conservation, statistics, parallel computation, spatially-explicit simulation modeling, multi-dimensional GIS technologies, entomology, GPS, remote sensing, and large-scale ecology. I have published papers on the analysis of spatial patterns, statistically delineated ecoregions, scientific computation and visualization, simulation modeling, and network analysis. Recent accomplishments include:
- designing the National Ecological Observatory Network (NEON). Invited member of the 15-person NEON National Network Design Committee (NNDC), which was responsible for drafting the Integrated Science and Education Plan, the Networking and Informatics Baseline Design, and the Project Execution Plan (PEP) for NEON
- statistically producing a set of national wildfire biophysical settings regions for the LANDFIRE project to measure departure of ecosystems from their potential vegetation state for wildfire management
- mapping the risk that Sudden Oak Death (SOD), Phytophthora ramorum, will spread to other parts of the U.S., based on statistical ecoregions created using national maps of conditions likely to be limiting for P. ramorum, including humidity, leaf-wetness, and cool temperatures. The quantitative similarity of each of the SOD
-regions with the worst outbreak areas was used to make a national SOD-susceptibility forecast
- developing the first quantitative global ecoregion maps, in coordination with The Nature Conservancy, as predicted for 2050 and 2100 by two global climate models under two possible future scenarios. Quantitative global ecoregions will be used to prioritize ecological preservation and restoration worldwide.
- developing a practical map analysis tool to predict and map corridors used by wildlife as they disperse from one patch to another by tracking large numbers of synthetic "walkers" which are imbued with the preference and dispersal characteristics of a particular target species as they travel over landscapes - developing a set of statistical tools to quantify the representativeness of a sampling network, optimize placement of additional network nodes, and design a theoretically optimum network
- developing EMBYR, a probabilistic wildfire model to investigate the effects of landscape-level fires like those in Yellowstone National Park in 1988
Past Research
I received an M.S. in Entomology from University of Georgia in 1983, and a Ph.D. in Ecology from University of Georgia in 1988.
I moved to Oak Ridge National Laboratory in 1990, and joined the ORNL staff in 2000 as a part of the Geographic Information and Spatial Technologies Group.
I moved to the ORNL Environmental Sciences Division (ESD) in 2001, and became part of the senior research staff in ESD in 2005.
I joined the Forest Service in October 2006, as part of the Eastern Forest Environmental Threat Assessment Center at the Southern Research Station in Asheville, NC.
At EFETAC, I have designed and operate a national early warning system using satellite imagery that will examine the lower 48 United States at 500m resolution every 8 days to locate potential forest threats.
For more information on my research please see my webpage at http://www.geobabble.org/~hnw.
Education
- Ph.D. in Ecosystem Ecology, 1988
- University of Georgia
- M.S. in Entomology, 1983
- Entomology
- B.S. in General Biology, 1978
- Vanderbilt University
Featured Publications and Products
- Efroymson, R.A.; Jager, H.I.; Hargrove, W.W. 2010. Valuing Wildlands.
- Baker, B.; Diaz, Henry; Hargrove, William; Hoffman, Forrest. 2010. Use of the Köppen-Trewartha climate classification to evaluate climatic refugia in statistically derived ecoregions for the People’s Republic of China.
- Potter, Kevin M.; Hargrove, William W.; Koch, Frank H. 2010. Predicting climate change extirpation risk for central and southern Appalachian forest tree species.
- Hoffman, F.M.; Mills, R.T.; Kumar, J.; Vulli, S.S.; Hargrove, W.W. 2010. Geospatiotemporal data mining in an early warning system for forest threats in the United States.
Publications
- Konduri, Venkata Shashank; Kumar, Jitendra ; Hargrove, William W.; Hoffman, Forrest M.; Ganguly, Auroop R. 2020. Mapping crops within the growing season across the United States.
- Brooks, Bjorn-Gustaf J.; Lee, Danny C.; Pomara, Lars Y.; Hargrove, William W. 2020. Monitoring broadscale vegetational diversity and change across North American landscapes using land surface phenology.
- Ergüner, Yasemin ; Kumar, Jitendra ; Hoffman, Forrest M.; Dalfes, H. Nüzhet; Hargrove, William W. 2019. Mapping ecoregions under climate change: a case study from the biological ‘crossroads’ of three continents, Turkey.
- Spruce, Joseph P.; Hicke, Jeffrey A.; Hargrove, William W.; Grulke, Nancy E.; Meddens, Arjan J.H. 2019. Use of MODIS NDVI products to map tree mortality levels in forests affected by mountain pine beetle outbreaks.
- Potter, Kevin M.; Crane, Barbara S.; Hargrove, William W. 2017. A United States national prioritization framework for tree species vulnerability to climate change.
- Norman, Steven P.; Hargrove, William W.; Christie, William M. 2017. Spring and autumn phenological variability across environmental gradients of Great Smoky Mountains National Park, USA.
- Kumar, Jitendra; Weiner, Jon; Hargrove, William W.; Norman, Steve; Hoffman, Forrest M.; Newcomb, Doug. 2016. Characterization and classification of vegetation canopy structure and distribution within the Great Smoky Mountains National Park using LiDAR.
- Norman, Steve; Koch, Frank H.; Hargrove, William W. 2016. Detecting and monitoring large-scale drought effects on forests: toward an integrated approach.
- Norman, Steve; Koch, Frank H.; Hargrove, William W. 2016. Review of broad-scale drought monitoring of forests: Toward an integrated data mining approach.
- Potter, Kevin M.; Hargrove, William; Koch, Frank H. 2015. Assessing forest tree risk of extinction and genetic degradation from climate change.
- Norman, Steve; Hargrove, William; Spruce, Joseph P. 2015. Chapter 6: Monitoring Forest Disturbances across Seasons Using the ForWarn Recognition and Tracking System.
- Jewitt, Debbie; Erasmus, Barend F.N.; Goodman, Peter S.; O'Connor, Timothy G.; Hargrove, William W.; Maddalena, Damian M.; Witkowski, Ed. T.F. 2015. Climate-induced change of environmentally defined floristic domains: A conservation based vulnerability framework.
- Potter, Kevin M.; Crane, Barbara S.; Hargrove, William W. 2015. Project CAPTURE: using forest inventory and analysis data to prioritize tree species for conservation, management, and restoration.
- Poco, J; Dasgupta, A; Wei, Y; Hargrove, William; Schwalm, C.R.; Huntzinger, D.N.; Cook, R; Bertini, E; Silva, C.T. 2015. Visual reconciliation of alternative similarity spaces in climate modeling.
- Anderson-Teixeira, Kristina J.; Davies, Stuart J.; Bennett, Amy C.; Gonzalez-Akre, Erika B.; Muller-Landau, Helene C.; Joseph Wright, S.; Abu Salim, Kamariah; Almeyda Zambrano, Angélica M.; Alonso, Alfonso; Baltzer, Jennifer L.; Basset, Yves; Bourg, Norman A.; Broadbent, Eben N.; Brockelman, Warren Y.; Bunyavejchewin, Sarayudh; Burslem, David F. R. P.; Butt, Nathalie; Cao, Min; Cardenas, Dairon; Chuyong, George B.; Clay, Keith; Cordell, Susan; Dattaraja, Handanakere S.; Deng, Xiaobao; Detto, Matteo; Du, Xiaojun; Duque, Alvaro; Erikson, David L.; Ewango, Corneille E.N.; Fischer, Gunter A.; Fletcher, Christine; Foster, Robin B.; Giardina, Christian P.; Gilbert, Gregory S.; Gunatilleke, Nimal; Gunatilleke, Savitri; Hao, Zhanqing; Hargrove, William W.; Hart, Terese B.; Hau, Billy C.H.; He, Fangliang; Hoffman, Forrest M.; Howe, Robert W.; Hubbell, Stephen P.; Inman-Narahari, Faith M.; Jansen, Patrick A.; Jiang, Mingxi; Johnson, Daniel J.; Kanzaki, Mamoru; Kassim, Abdul Rahman; Kenfack, David; Kibet, Staline; Kinnaird, Margaret F.; Korte, Lisa; Kral, Kamil; Kumar, Jitendra; Larson, Andrew J.; Li, Yide; Li, Xiankun; Liu, Shirong; Lum, Shawn K.Y.; Lutz, James A.; Ma, Keping; Maddalena, Damian M.; Makana, Jean-Remy; Malhi, Yadvinder; Marthews, Toby; Mat Serudin, Rafizah; McMahon, Sean M.; McShea, William J.; Memiaghe, Hervé R.; Mi, Xiangcheng; Mizuno, Takashi; Morecroft, Michael; Myers, Jonathan A.; Novotny, Vojtech; de Oliveira, Alexandre A.; Ong, Perry S.; Orwig, David A.; Ostertag, Rebecca; den Ouden, Jan; Parker, Geoffrey G.; Phillips, Richard P.; Sack, Lawren; Sainge, Moses N.; Sang, Weiguo; Sri-ngernyuang, Kriangsak; Sukumar, Raman; Sun, I-Fang; Sungpalee, Witchaphart; Suresh, Hebbalalu Sathyanarayana; Tan, Sylvester; Thomas, Sean C.; Thomas, Duncan W.; Thompson, Jill; Turner, Benjamin L.; Uriarte, Maria; Valencia, Renato; Vallejo, Marta I.; Vicentini, Alberto; Vrška, Tomáš; Wang, Xihua; Wang, Xugao; Weiblen, George; Wolf, Amy; Xu, Han; Yap, Sandra; Zimmerman, Jess. 2014. CTFS-ForestGEO: a worldwide network monitoring forests in an era of global change.
- Poco, J.; Dasgupta, A.; Wei, Y.; Hargrove, W.; Schwalm, C.; Cook, R.; Bertini, E.; Silva, C. 2014. SimilarityExplorer: A visual inter-comparison tool for multifaceted climate data.
- Norman, Steven P.; Hargrove, William W.; Spruce, Joseph P.; Christie, William M.; Schroeder, Sean W. 2013. Highlights of satellite-based forest change recognition and tracking using the ForWarn System.
- Mills, Richard Tran; Kumar, Jitendra; Hoffman, Forrest M.; Hargrove, William W.; Spruce, Joseph P.; Norman, Steven P. 2013. Identification and visualization of dominant patterns and anomalies in remotely sensed vegetation phenology using a parallel tool for principal components analysis.
- Potter, Kevin M.; Hargrove, William W. 2013. Quantitative metrics for assessing predicted climate change pressure on North American tree species.
- Hoffman, Forrest M.; Kumar, Jitendra; Mills, Richard T.; Hargrove, William W. 2013. Representativeness-based sampling network design for the State of Alaska.
- Potter, Kevin M.; Hargrove, William W. 2012. Determining suitable locations for seed transfer under climate change: a global quantitative method.
- Norman, Steven P.; Hargrove, William W. 2012. Land surface phenology as a coarse-filter indicator of disturbance and climatic effects across the coast redwood range.
- Mills, Richard Trans; Hoffman, Forrest M; Kumar, Jitendra; Hargrove, William W. 2011. Cluster Analysis-Based Approaches for Geospatiotemporal Data Mining of Massive Data Sets for Identification of Forest Threats.
- Hoffman, Forrest M.; Larson, J. Walter; Mills, Richard Tran; Brooks, Bhorn-Gustaf; Ganguly, Auroop R.; Hargrove, William; al, et. 2011. Data Mining in Earth System Science (DMESS 2011).
- Westervelt, James D.; Hargrove, William W. 2011. Forecasting Climate-Induced Ecosystem Changes on Military Installations.
- Kumar, Jitendra ; Mills, Richard T.; Hoffman, Forrest M; Hargrove, William W. 2011. Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets.
- Michener, William K.; Bildstein, Keith L.; McKee, Arthur; Parmenter, Robert R.; Hargrove, William W.; McClearn, Deedra; Stromberg, Mark. 2009. Biological field stations: research legacies and sites for serendipity.
- Michener, William K.; Bildstein, Keith L.; McKee, Arthur; Parmenter, Robert R.; Hargrove, William W.; McClearn, Deedra; Stromberg, Mark. 2009. Biological field stations: research legacies and sites for serendipity.
- Hargrove, William W.; Spruce, Joseph P.; Gasser, Gerald E.; Hoffman, Forrest M. 2009. Toward a national early warning system for forest disturbances using remotely sensed canopy phenology.
- Williams, Carol L.; Hargrove, William W.; Leibman, Matt; James, David E. 2008. Agro-ecoregionalization of Iowa using multivariate geographical clustering.
- Efroymson, Rebecca A.; Peterson, Mark J.; Welsh, Christopher J.; Druckenbrod, Daniel L.; Ryon, Michael G.; Smith, John G.; Hargrove, William W.; Giffen, Neil R.; Roy, W. Kelly; Quarles, Harry D. 2008. Investigating habitat value to inform contaminant remediation options: approach.
- Efroymson, Rebecca A.; Peterson, Mark J.; Giffen, Neil R.; Ryon, Michael G.; Smith, John G.; Hargrove, William W.; Roy, W. Kelly; Welsh, Christopher J.; Druckenbrod, Daniel L.; Quarles, Harry D. 2008. Investigating habitat value to inform contaminant remediation options: case study.
- Hargrove, William W.; Forrest, M. Hoffman; Hessburg, Paul F. 2006. Mapcurves: a quantitative method for comparing categorical maps.
- Luxmoore, Robert J.; Hargrove, William W.; Tharp, M. Lynn; Post, W. Mac; Berry, Michael W.; Minser, Karen S.; Cropper, Wendell P., Jr..; Johnson, Dale W.; Zeide, Boris; Amateis, Ralph L.; Burkhart, Harold E.; Baldwin, V. Clark, Jr..; Peterson, Kelly D. 2002. Addressing multi-use issues in sustainable forest management with signal-transfer modeling.
- Luxmoore, Robert J.; Hargrove, William W.; Tharp, M. Lynn; Post, Wilfred M.; Berry, Michael W.; Minser, Karen S.; Cropper, Wendell P., Jr..; Johnson, Dale W.; Zeide, Boris; Amateis, Ralph L.; Burkhart, Harold E.; Baldwin, V. Clark, Jr..; Peterson, Kelly D. 2000. Signal-transfer Modeling for Regional Assessment of Forest Responses to Environmental Changes in the Southeastern United States.
Research Highlights
- Early Warning System Detects Seasonal Vegetation Changes (2010)
- SRS' Eastern Forest Environmental Threat Assessment Center is partnering with NASA's Stennis Space Center to produce a series of seamless datasets on seasonal changes in vegetation.
- ForWarn Monitors Forests Coast-to-Coast (2012)
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Web-based tool provides a weekly snapshot of U.S. forest conditions to aid forest managers
- ForWarn Provides New Insight into Duration and Impacts of Forest Disturbances (2016)
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Since its inception in 2010, the ForWarn system has provided weekly maps that illustrate disturbance across the nation's forests. ForWarn researchers have recently developed a new seasonal forest monitoring product that provides insight into how long disturbances last. The new products distinguish between ephemeral (short-lived) disturbances and lasting disturbances.
- Improving Hurricane Damage Assessments with New Satellite Technology and Outreach (2019)
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Recent advances in satellite technology and collaborative exchange between USDA Forest Service researchers and state forestry agencies have given forest managers greatly improved insights into hurricane damage.
- Using Forest Phenology to Understand Landscape Change (2020)
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The Landscape Dynamics Assessment Tool (LanDAT) is designed to help natural resource managers assess changing landscapes and understand how these changes impact ecosystem services. LanDAT relies on vegetation phenology to map forest changes driven by fire, land use, insects, disease, and climate.