Publications

The “William W Hargrove” page on Google Scholar reports an h-index of 36 for my publications, meaning that I have 36 publications each of which have been cited by others at least 36 times. My g-index, which considers all highly cited papers, is 84, and my i10 index is 74, indicating that I have 74 publications with at least 10 citations by others. My three most-cited publications have over 500 citations each, followed by two with over 400 citations each. My nine most-cited publications have more than 250 citations each. Of those top nine, three are as first author, and two are as final author, verifying the expected transition to mentor and advisor. My median number of citations is 13. Numbers of citations for my most-highly cited publications are indicated below.

  1. Seastedt, T.R., D.A. Crossley, Jr., and W.W. Hargrove. 1983. The effects of low-level consumption by canopy arthropods on the growth and nutrient dynamics of black locust and red maple trees in the southern Appalachians. Ecology 64(5):1040-1048.
    84 Citations.

  2. Hargrove, W.W., D.A. Crossley, Jr., and T.R. Seastedt. 1985. Shifts in insect herbivory in the canopy of black locust, Robinia pseudoacacia L., following fertilization. Oikos 43(3):322-328.
    32 Citations.

  3. Hargrove, W.W. 1986. An annotated species list of insects associated with black locust, Robinia pseudoacacia L., in the southern Appalachians. Entomological News 97(1):36-40.
    32 Citations.

  4. Schowalter, T.D., D.A. Crossley, Jr., and W.W. Hargrove. 1986. Herbivory in Forested Ecosystems. Annual Review of Entomology 31:177-196.
    412 Citations.

  5. Hargrove, W.W. 1987. A video digitizer for the rapid measurement of leaf area removed by herbivorous insects. Technological Tools, Bulletin of the Ecological Society of America 68(2):185.

  6. Crossley, D.A., Jr., C.S. Gist, W.W. Hargrove, L.S. Risley, T.D. Schowalter, and T.R. Seastedt. 1987. Foliage Consumption and Nutrient Dynamics in Canopy Insects. Chapter 14, pp. 193-205 In: W.T. Swank and D.A. Crossley, Jr. (eds.), Forest Hydrology and Ecology at Coweeta. Proc. symp. in Athens, Ga., Oct. 15-17, 1984. Springer-Verlag Ecological Studies Series, Vol. 66, New York. 469 pgs.

  7. Hargrove, W.W., and J.R. O'Hop. 1988. A computer algorithm to estimate leaf area removal (LAR) by insects. Laboratory Microcomputer 7(1):36-40. Errata: 7(2):76.

  8. Hargrove, W.W., and D.A. Crossley, Jr. 1988. Video digitizer for the rapid measurement of leaf area lost to herbivorous insects. Annals of the Entomological Society of America 81(4):593-598.
    27 Citations.

  9. Hargrove, W.W. 1988. A photographic technique for tracking herbivory on individual leaves through time. Ecological Entomology 13:359-363.

  10. Pickering, J., W.W. Hargrove, J.D. Dutcher, and HC Ellis. 1989. RAIN - a novel approach to computer-aided decision making in agriculture and forestry. Computers and Electronics in Agriculture 4(4):275-285.

  11. Hargrove, W.W., and J. Pickering. 1992. Pseudoreplication: a sine qua non for regional ecology. Landscape Ecology 6(4):251-258.
    273 Citations. This paper was identified as an early “key” paper in Landscape Ecology by the former Editors-in-Chief of this journal.

  12. Turner, M.G, W.W. Hargrove, R.H. Gardner, and W.H. Romme. 1994. Effects of fire on landscape heterogeneity in Yellowstone National Park, Wyoming. Journal of Vegetation Science 5:731-742.
    545 Citations.

  13. Tinker, D.B., W.H. Romme, W.W. Hargrove, R.H. Gardner, and M.G. Turner. 1994. Landscape-scale heterogeneity in lodgepole pine serotiny. Canadian Journal of Forest Research 24:897-903.
    114 Citations.

  14. Hargrove, W.W. 1996. Over the horizon - Perspectives on future directions in GIS. Readers' Forum, GIS World 9(3):28.

  15. Hargrove, W.W. 1996. Visualization techniques aid environmental restoration efforts. Scientific Computing and Automation, October 1996:35-36.

  16. Plotnick, R.E., R.H. Gardner, W.W. Hargrove, K. Prestegaard, and M. Perlmutter. 1996. Lacunarity analysis: A general technique for the analysis of spatial patterns. Physical Review E 53(5):5461-5468.
    527 Citations. The Lacunarity Index is now routinely used in medical imaging (tumors, lung disease, osteoporosis, retinal vessels, endoscopic ulcers, neuronal connectivity), geology (manganese dendrites in vein quartz), genetics ( gene positions along DNA strands), engineering (tree cracks in epoxy resin), food science (apple porosity, fat marbeling in cooked pork), and remote sensing (volumetric LiDAR, DEMs, oil slicks, river networks, urban patterns) as well as for the landscape ecology purposes for which it was developed. An interesting citation in the journal Food Engineering describes the use of the Lacunarity Index for predicting the breakage patterns of tortilla chips! Lacunarity has its own Wikipedia entry, and a google search shows many lacunarity sites at hosts like MIT, NIH, and Wolfram. Someone has produced a software package called FracLac which calculates the Lacunarity Index for users.

  17. Gardner, R.H., W.W. Hargrove, M.G. Turner, and W.H. Romme. 1996. Climate change, disturbances, and landscape dynamics. Pages 149-172 In: B. Walker and W. Steffen (eds.). Global Change and Terrestrial Ecosystems. International Geosphere-Biosphere Programme Book Series - Book # 2. Cambridge University Press, Cambridge, Great Britain. 619 pgs.
    131 Citations.

  18. Romme, W.H., M.G. Turner, R.H. Gardner, W.W. Hargrove, G.A. Tuskan, D.G. Despain, and R. Renkin. 1997. A rare episode of sexual reproduction in Aspen (Populus tremuloides Michx.) following the 1988 Yellowstone fires. Natural Areas Journal 17(1):17-25.
    140 Citations.

  19. Tyler, J.A., and W.W. Hargrove. 1997. Predicting spatial distribution of foragers over large resource landscapes: a modeling analysis of the Ideal Free Distribution. Oikos 79(2):376-386.
    60 Citations.

  20. Turner, M.G., W.H. Romme, R.H. Gardner, and W.W. Hargrove. 1997. Effects of fire size and pattern on early succession in Yellowstone National Park. Ecological Monographs 67(4):411-433.
    566 Citations.

  21. Hargrove, W.W. 1998. Maps are not paper! Readers' Forum, GEOWorld 11(11):11.

  22. Huff, D.D., W.W. Hargrove, and R.L. Graham. 1999. Adaptation of WRENSS Fortran 77 for a GIS application for water-yield changes. ORNL Technical Memorandum ORNL/TM-13747.

  23. Hoffman, F.M., and W.W. Hargrove. 1999. Cluster computing: Linux taken to the extreme. Linux Magazine 1(1):56-59.

  24. Hoffman, F.M., and W.W. Hargrove. 1999. Parallel computing with Linux. Fall, 1999. Crossroads: Association for Computing Machinery 6(1).

  25. Hoffman, F.M., and W.W. Hargrove. 1999. Multivariate Geographic Clustering using a Beowulf-style parallel computer. In: Parallel and Distributed Processing Techniques and Applications (PDPTA '99), Vol. III, H.R. Arabina, Ed., ISBN 1-892512-11-4, CSREA Press, pp. 1292-1298.

  26. Zartman, R., R.J. Luxmoore, and W.W. Hargrove. 1999. Climate. pp. 14-19 In: H. Don Scott (ed.), Water and Chemical Transport in Soils of the Southeastern United States. Special Report 197, Arkansas Agricultural Experiment Station, University of Arkansas, Fayetteville, Arkansas. 388 pgs.

  27. Hargrove, W.W., and F.M. Hoffman. 1999. Using multivariate clustering to characterize ecoregion borders. Computers in Science and Engineering 1(4):18-25.
    113 Citations. This paper was awarded Honorable Mention by the US-International Association of Landscape Ecology (US-IALE) for Most Outstanding Paper in Landscape Ecology in 1999.

  28. Hoffman, F.M., and W.W. Hargrove. 2000. High performance computing: an introduction to parallel programming with Beowulf. Open Source Developers Journal 1(1)24-31.

  29. Stoms, D.M., and W.W. Hargrove. 2000. Potential of NDVI as a Baseline for Monitoring Ecostystem Functioning. International Journal of Remote Sensing 21(2):401-407.
    85 Citations.

  30. Mann, L.K., A.W. King, R.A. Washington-Allen, W.W. Hargrove, V.H. Dale, T.L. Ashwood, and L.R. Pounds. 2000. The role of soil classification in GIS modeling of habitat pattern: threatened calcareous ecosystems. Ecosystems 2(6):524-538.
    32 Citations.

  31. Mahinthakumar, G., F.M. Hoffman, W.W. Hargrove, and N.T. Karonis. 2000. Multivariate Geographic Clustering in a metacomputing environment using Globus. Proceedings of the ACM/IEEE Supercomputing '99 (SC99) Conference, Nov. 13-15, Portland, OR.

  32. Luxmoore, R.J., W.W. Hargrove, M.L. Tharp, W.M. Post, M.W. Berry, K.S. Minser, W.P. Cropper, D.W. Johnson, B. Zeide, R.L. Amateis, H.E. Burkhart, V.C. Baldwin, Jr., and K.D. Peterson. 2000. Signal-transfer modeling for regional assessment of forest responses to environmental changes in the southeastern United States. Environmental Modeling and Assessment 5(2):125-137.

  33. Gwo, J.P., F.M. Hoffman, and W.W. Hargrove. 2000. Mechanistic-based genetic algorithm search on a Beowulf cluster of Linux PCs. Proceedings of the High-Performance Computing 2000 (HPC 2000) Conference, Washington, DC. http://www.pdv.cs.tu-berlin.de/HPC/hpc2000.html

  34. Jager, H.I., W.W. Hargrove, C.C. Brandt, A.W. King, R.J. Olson, J.M.O. Scurlock, and K.A. Rose. 2000. Constructive contrasts between modeled and measured climate responses over a regional scale. Ecosystems 3(4):396-411.

  35. Huff, D.D., W.W. Hargrove, M.L. Tharp, and R.L. Graham. 2000. Managing forests for water yield: the importance of scale. Journal of Forestry 98(12):15-19.

  36. Hargrove, W.W., R.H. Gardner, M.G. Turner, W.H. Romme, and D.G. Despain. 2000. Simulating fire patterns in heterogeneous landscapes. Ecological Modelling 135(2-3):243-263.
    306 Citations.

  37. King, A.W., L.K. Mann, W.W. Hargrove, T.L. Ashwood, and V.H. Dale 2001. Assessing the persistence of an avian population in a managed landscape: A case study with Henslow’s Sparrow at Ft. Knox, Kentucky. ORNL. Technical Memorandum ORNL/TM-13734.

  38. Hargrove, W.W. 2001. Book review of Terrestrial Ecoregions of North America. Quarterly Review of Biology 76(2):256-257.

  39. Efroymson, R.A., W.W. Hargrove, M.J. Peterson, D.S. Jones, W.H. Rose, L.L. Pater, G.W. Suter II, and K.A. Reinbold. 2001. Demonstration of the Military Ecological Risk Assessment Framework (MERAF): Apache Longbow-Hellfire missile test at Yuma Proving Ground. ORNL Technical Memorandum ORNL/TM-2001/211. 119 pgs.

  40. Hargrove, W.W., F.M. Hoffman, and T.L. Sterling. 2001. The do-it-yourself supercomputer. Scientific American 256(2):72-79.
    65 Citations.

  41. Clark, M.E., K.A. Rose, D.A. Levine, and W.W. Hargrove. 2001. Predicting climate change effects on Appalachian trout: combining GIS and individual-based modeling. Ecological Applications 11(1):161-178.
    100 Citations.

  42. Chen, L., M.W. Berry, and W.W. Hargrove. 2001. Using dendronal signatures for feature extraction and retrieval. International Journal of Imaging Systems and Technology 11(4):243-253.

  43. Hargrove, W.W., C.C. Brandt, H.I. Jager, and R.A. McCord. 2002. A “make-a-difference” experiment to assess the value of ARM data in carbon cycle models. Twelfth ARM Science Team Meeting Proceedings, St. Petersburg, Florida, April 8-12, 2002. Available at http://www.arm.gov/publications/proceedings/conf12/extended_abs/hargrove-ww.pdf

  44. Luxmoore, R.L., W.W. Hargrove, M. Lynn Tharp, W. Mac Post, M.W. Berry, K.S. Minser, W.P. Cropper, Jr., D.W. Johnson, B. Zeide, R.L. Amateis, H.E. Burkhart, V.C. Baldwin, Jr., and K.D. Peterson. 2002. Addressing multi-use issues in sustainable forest management with signal-transfer modeling. Forest Ecology and Management 165:295-304.

  45. Huff, D.D., W.W. Hargrove, R.L. Graham, N.T. Nikolov, and M. Lynn Tharp. 2002. A GIS/simulation framework for assessing change in water yield over large spatial scales. Environmental Management 29(2):164-181.

  46. Hargrove, W.W., F.M. Hoffman, and P.M. Schwartz. 2002. A Fractal Landscape Realizer for generating synthetic maps. Conservation Ecology 6(1): 2. [online]: http://www.consecol.org/vol6/iss1/art2
    58 Citations. This paper was awarded the US-International Association of Landscape Ecology (US-IALE) Most Outstanding Paper in Landscape Ecology in 2004.

  47. Hargrove, W.W., and F.M. Hoffman. 2003. An analytical assessment tool for predicting changes in a species distribution map following changes in environmental conditions. Proceedings, GIS/EM4 Conference, Banff, Alberta, Canada, Sept. 2-8, 2000. CD-ROM, ISBN: 0-9743307-0-1.

  48. Hargrove, W.W., F.M. Hoffman, and B.E. Law. 2003. New Analysis Reveals Representativeness of the AmeriFlux Network. Eos 84(48):529-535.
    80 Citations.

  49. Lozar, R.C., W.W. Hargrove, and F.M. Hoffman. 2004. "Use of the Corridor Tool in Support of Threatened and Endangered Species Habitat Fragmentation: Input Procedure and Initial Results." U.S. Army Corps of Engineers, Engineer Research and Development Center, Technical Report ERDC/CERL TR-05-23, 60 pgs.

  50. Hargrove, W.W., and F.M. Hoffman. 2004. A Flux Atlas for Representativeness and Statistical Extrapolation of the AmeriFlux Network. ORNL Technical Memorandum ORNL/TM-2004/112. Available at http://www.geobabble.org/flux-ecoregions

  51. Peterson, A.T., R. Scachetti-Pereira, and W.W. Hargrove. 2004. Potential geographic distribution of Anoplophora glabripennis (Coleoptera: Cerambycidae) in North America. American Midland Naturalist 151(1):170-178.
    50 Citations (acc. To BioOne).

  52. Martinez-Meyer, E., A. Townsend Peterson, and W.W. Hargrove. 2004. Ecological niches as stable distributional constraints on mammal species, with implications for Pleistocene extinctions and climate change projections for biodiversity. Global Ecology and Biogeography 13:305-314.
    456 Citations. Our results suggest that hunting by early hominids likely had little effect on the extinction of wooly mammoths.

  53. Hargrove, W.W., and F.M. Hoffman. 2004. The potential of multivariate quantitative methods for delineation and visualization of ecoregions. Environmental Management 34(5):S39-S60, doi: 10.1007/S00267-003-1084-0.
    272 Citations.

  54. Efroymson, R.A, T.M. Carlsen, H.I. Jager, T. Kostova, E.A. Carr, W.W. Hargrove, J. Kercher, and T.L. Ashwood. 2004. Toward a framework for assessing risk to vertebrate populations from brine and petroleum spills at exploration and production sites. Pp. 261-285 in: Landscape Ecology and Wildlife Habitat Evaluation: Critical Information for Ecological Risk Assessment, Land-Use Management Activities, and Biodiversity Enhancement Practices, ASTM STP 1458, L. Kapustka, H. Galbraith, M. Luxon, and G.R. Biddinger (eds.), American Society for Testing and Materials, West Conshohocken, PA.

  55. Efroymson, R.A., M.J. Peterson, N.R. Giffen, M.G. Ryon, J.G. Smith, W.K. Roy, C.J. Welsh, D.L. Druckenbrod, W.W. Hargrove, and H.D. Quarles. 2005. Investigating habitat value in support of remedial decisions: a case study of six sites at the East Tennessee Technology Park. Technical Report BJC/OR-2268. Bechtel Jacobs Company, Oak Ridge, TN.

  56. White, M.A., F.M. Hoffman, W.W. Hargrove, and R.R. Nemani. 2005. A global framework for monitoring phenological responses to climate change. Geophysical Research Letters 32(4):L04705, doi:1029/2004GL021961.
    179 Citations.

  57. Saxon, E., B. Baker, W.W. Hargrove, F.M. Hoffman, and C. Zganjar. 2005. Mapping environments at risk under different global climate change scenarios. Ecology Letters 8:53-60.
    117 Citations.

  58. Hoffman, F.M., W.W. Hargrove, D.J. Erickson, III, and R. Oglesby. 2005. Using clustered climate regimes to analyze and compare predictions from fully coupled general circulation models. Earth Interactions 9:1-27.
    60 Citations.

  59. Hargrove, W.W., F.M. Hoffman, and P.F. Hessburg. 2005. Mapcurves: A generalized algorithm for quantitative comparison of categorical maps. Journal of Geographical Systems 8(2):187-208. DOI 10.1007/s10109-006-0025-x
    88 Citations.

  60. Hargrove, W.W., F.M. Hoffman, and R.A. Efroymson. 2005. A practical map-analysis tool for detecting potential dispersal corridors. Landscape Ecology 20(4):361-373.
    94 Citations.

  61. Efroymson, R. A., M. J. Peterson, N. R. Giffen, M. G. Ryon, J. G. Smith, W. K. Roy, C. J. Welsh, D. L. Druckenbrod, W. W. Hargrove, and H. D. Quarles. 2005. Investigating Habitat Value in Support of Remedial Decisions: A Case Study of Six Sites at the East Tennessee Technology Park. Technical Report BJC/OR-2268. Bechtel Jacobs Company, Oak Ridge, TN.

  62. Elschlaeger, C., J. Westervelt, H. Balbach, H. Resit Akcakaya, T. Hoctor, C. Goodison, W.W. Hargrove, F.M. Hoffman, W. Rose, and R.C. Lozar. 2006. “Habitat Fragmentation Handbook for Installation Planners: Status and Options.” US Army Corps of Engineers, Engineer Research and Development Center, Construction Engineering Research Laboratory Technical Report ERDC/CERL TR-06-36.187 pgs.

  63. Fox, D. 2007. Back to the No-Analog Future? Science 316:823-825.

  64. Sundareshwar, P.V, R. Murtugudde, G. Srinivasan, S. Singh, K.J. Ramesh, D. Agarwal, D. Baldocchi, C.K. Baru, K.K. Baruah, G.R. Chowdhury, V.K. Dadhwal, C.B.S. Dutt, J. Fuentes, P.K. Gupta, W.W. Hargrove, M. Howard, C.S. Jha, S. Lal, W.K. Michener, A.P. Mitra, J.T. Morris, R.R. Myneni, M. Naja, R. Nemani, S. Raha, R. Ramesh, S.K. Santhana Vanan, M. Sharma, A. Subramaniam, R. Sukumar, R.R. Twilley, S.B. Verma, P.R. Zimmerman. 2007. Environmental monitoring network for India. Science (Policy Forum) 316:204-205.

  65. Schimel, D., W.W. Hargrove, F.M. Hoffman, and J. MacMahon. 2007. NEON: A Hierarchically Designed National Ecological Network. Frontiers in Ecology and the Environment 5(2):59.
    39 Citations.

  66. Pittman, J.V., E.M. Weinstock, R.J. Oglesby, D.S. Sayres, J.B. Smith, J.G. Anderson, O.R. Cooper, S.C. Wofsy, I. Xueref, C. Gerbig, B.C. Daube, E.C. Richard, B.A. Ridley, A.J. Weinheimer, M. Lowenstein, H-J. Jost, J.P. Lopez, M.J. Mahoney, T.L. Thompson, W.W. Hargrove, and F.M. Hoffman. 2007. Transport in the subtropical lowermost stratosphere during the Cirrus Regional Study of Tropical Anvils and Cirrus Layers – Florida Area Cirrus Experiment. Journal of Geophysical Research - Atmospheres 112, D08304, DOI:10.1029/2006JD007851.

  67. Nightingale, J.M, N.C. Coops, R.H. Waring, and W.W. Hargrove. 2007. Comparison of MODIS gross primary production estimates for forests across the USA with those generated by a simple process model, 3-PGS. Remote Sensing of Environment 109:500-509.
    68 Citations.

  68. Williams, C.L., W.W. Hargrove, M. Liebman, and D.E. James. 2008. Agro-ecoregionalization of Iowa using Multivariate Geographical Clustering. Agriculture, Ecosystems & Environment 123:161-171.
    60 Citations.

  69. Keller, M., D.S. Schimel, W.W. Hargrove, and F.M. Hoffman. 2008. A Continental Strategy for the National Ecological Observatory Network. Frontiers in Ecology and the Environment 6(5):282-284.
    220 Citations..

  70. Efroymson, R.A., M.J. Peterson, C.J. Welsh, D.L. Druckenbrod, M.G. Ryon, J.G. Smith, W.W. Hargrove, N.R. Giffen, W.K. Roy, and H.D. Quarles. 2008. Investigating Habitat Value to Inform Contaminant Remediation Options: Approach. Journal of Environmental Management 88:1436-1451.

  71. Efroymson, R.A., M.J. Peterson, N.R. Giffen, M.G. Ryon, J.G. Smith, W.W. Hargrove, W.K. Roy, C.J. Welsh, D.L. Druckenbrod, and H.D. Quarles. 2008. Investigating Habitat Value to Inform Contaminant Remediation Options: Case Study. Journal of Environmental Management 88:1452-1470.

  72. Hoffman, F.M., W.W. Hargrove, R.T. Mills, S. Mahajan, D.J. Erickson, and R.J. Oglesby. 2008. Multivariate Spatio-Temporal Clustering (MSTC) as a Data Mining Tool for Environmental Applications. M. Sànchez-Marrè, J. Béjar, J. Comas, A.E. Rizzoli, G. Guariso (Eds.), Proceedings of the iEMSs Fourth Biennial Meeting: International Congress on Environmental Modelling and Software (iEMSs 2008), ISBN 978-84-7653-074-0, International Environmental Modelling and Software Society, Barcelona, Catalonia, Spain.
    33 Citations.

  73. Peterson, M.J., W.W. Hargrove, R.A. Efroymson. 2008. The Apache Longbow-Hellfire Missile Test at Yuma Proving Ground: Ecological Risk Assessment for Tracked Vehicle Movement across Desert Pavement. Human and Ecological Risk Assessment: An International Journal 14(5):919-946. DOI: 10.1080/10807030802387531

  74. Jones, D.S., R.A. Efroymson, W.W. Hargrove, G.W. Suter II, and L.L. Pater. 2008. The Apache Longbow-Hellfire Missile Test at Yuma Proving Ground: Ecological Risk Assessment for Missile Firing. Human and Ecological Risk Assessment: An International Journal 14(5): 898-918. DOI: 10.1080/10807030802387507

  75. Efroymson, R.A., W.W. Hargrove, and G.W. Suter II. 2008. The Apache Longbow-Hellfire Missile Test at Yuma Proving Ground: Ecological Risk Assessment for Helicopter Overflight. Human and Ecological Risk Assessment: An International Journal 14(5): 871-897. DOI: 10.1080/10807030802387481

  76. Serveiss, V., D. Catanzaro, M. Fitzpatrick, W.W. Hargrove, A., Stewart, and D. Eskew. 2008. Predicting Future Introductions of Non-Indigenous Species to the Great Lakes (EPA/600/R-08/066F). National Center for Environmental Assessment (NCEA), Washington, DC, within the Office of Research and Development (ORD) of the Environmental Protection Agency (EPA). 138 pgs. Available from the National Technical Information Service, Springfield, VA, and http://www.epa.gov/ncea

  77. Michener, W., A. McKee, K. Bildstein, W.W. Hargrove, D. McClearn, R. Parmenter, and M. Stromberg. 2009. Biological Field Stations: Research Legacies and Sites for Serendipity. BioScience 59(4):300-310. DOI: 10.1525/bio.2009.59.4.8. Reprinted In: Topics in BioScience: Biological Field Stations. AIBS (eds.). 2011. University of California Press, 72 pgs. ISBN 978-0-9817130-4-5

  78. Hargrove, W.W., J.P. Spruce, G.E. Gasser, and F.M. Hoffman. 2009. Toward a National Early Warning System for Forest Disturbances Using Remotely Sensed Phenology. Photogrammetric Engineering & Remote Sensing (PERS) 75(10): 1150—1156.
    68 Citations.

  79. Fitzpatrick, M.C., and W.W. Hargrove. 2009. The Projection of Species Distribution Models and the Problem of Non-Analog Climate. Biodiversity and Conservation 18:2255-2261. DOI: 10.1007/s10531-009-9584-8
    271 Citations.

  80. Potter, K.M., W.W. Hargrove, and F.H. Koch. 2010. Predicting Climate Change Extirpation Risk for Central and Southern Appalachian Forest Tree Species. Pgs 179-189 In: Proceedings of the Conference on Ecology and Management of High-Elevation Forests of the Central and Southern Appalachian Mountains. J. Rentch and E. Heitzman, eds. Snowshoe, West Virginia, May 14-15, 2009. General Technical Report NRS-P-64. Newtown Square, PA; USDA, Forest Service, Northern Research Station.

  81. Hoffman, F.M., R.T. Mills, J. Kumar, S.S. Vulli, and W.W. Hargrove. 2010. Geospatiotemporal Data Mining in an Early Warning System for Forest Threats in the United States. Pgs 170-173 In: Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2010), July 25-30, 2010, Honolulu, Hawaii, USA. ISBN 978-1-4244-9566-5. DOI: 10.1109/IGARSS.2010.5653935.

  82. Efroymson, R.A., H.I. Jager, and W.W. Hargrove. 2010. Valuing Wildlands. Pgs. 157-185 In: Environmental Risk Assessment and Management from a Landscape Perspective. L. Kapustka and W. Landis (Eds.). John Wiley & Sons, 396 pgs.

  83. Baker, B.B., H.F. Diaz, W.W. Hargrove, and F.M. Hoffman. 2010. Use of the Koppen-Trewartha climate classification to evaluate climatic refugia in statistically derived ecoregions for the People’s Republic of China. Climatic Change 98(1-2):113-131. DOI: 10.1007/s10584-009-9622-2
    63 Citations.

  84. Spruce, J.P., S. Sader, R.E. Ryan, J. Smoot, P. Kuper, K. Ross, D. Prados, J. Russell, G. Gasser, R. McKellip, and W.W. Hargrove. 2011. Assessment of MODIS NDVI Time Series Data Products for Detecting Forest Defoliation from Gypsy Moth Outbreaks. Remote Sensing of Environment 115:427-437.
    116 Citations.

  85. Mills, R.T., F.M. Hoffman, J. Kumar, and W.W. Hargrove. 2011. Cluster Analysis-based Approaches for Geospatiotemporal Data Mining of Massive Data Sets for Identification of Forest Threats. Pgs 1612–1621 In: Proceedings of the International Conference on Computational Science (ICCS 2011), Volume 4 of Procedia Comput. Sci. M. Sato, S. Matsuoka, P.M. Sloot, G.D. van Albada, and J Dongarra, (Eds). Elsevier, Amsterdam. ISSN 1877-0509. DOI:10.1016/j.procs.2011.04.174

  86. Kumar, J., R.T. Mills, F.M. Hoffman, and W.W. Hargrove. 2011. Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets. Pgs 1602–1611 In: Proceedings of the International Conference on Computational Science (ICCS 2011), Volume 4 of Procedia Comput. Sci. M. Sato, S. Matsuoka, P.M. Sloot, G.D. van Albada, and J. Dongarra, (Eds.). Elsevier, Amsterdam. ISSN 1877-0509. DOI:10.1016/j.procs.2011.04.173
    71 Citations.

  87. Hoffman, F.M, J.W. Larson, R.T. Mills, B.J. Brooks, A.R. Ganguly, W.W. Hargrove, J. Huang, J. Kumar, and R.R. Vatsavi. 2011. Data Mining in Earth System Science. Pgs 1450-1455 In: Proceedings of the International Conference on Computational Science (ICCS 2011), Volume 4 of Procedia Comput. Sci. M. Sato, S. Matsuoka, P.M. Sloot, G.D. van Albada, and J Dongarra, (Eds). Elsevier, Amsterdam. ISSN 1877-0509. DOI:10.1016/j.procs.2011.04.157

  88. Hargrove, W.W., and J.D. Westervelt. 2011. Forecasting Climate-Induced Ecosystem Changes on Military Installations. Engineer Research and Development Center/Construction Engineering Research Center ERDC/CERL Technical Report TR-11-36, U.S. Army Engineer Research and Development Center, Champaign-Urbana, IL, 133 pgs.

  89. Hargrove, W.W., and J.D. Westervelt. 2012. An Application of the Pathway Analysis Through Habitat (PATH) Algorithm as a Simple NetLogo Model. Chapter 12 In: Ecologist-Developed Spatially Explicit Dynamic Landscape Models, J. Westervelt, (Ed.) Springer-Verlag.

  90. Potter, K.M., and W.W. Hargrove. 2012. Determining Suitable Locations for Seed Transfer under Climate Change: A Global Quantitative Method. New Forests 43(5-6):581-599. DOI: 10.1007/s11056-012-9322-z.
    49 Citations.

  91. Mills, R.T., J. Kumar, F.M. Hoffman, S.P. Norman, and W.W. Hargrove. 2013. Identification and Visualization of Dominant Patterns and Anomalies in Remotely Sensed Vegetation Phenology Using a Parallel Tool for Principal Components Analysis. Procedia Computer Science 18:2396-2405.

  92. Hoffman, F.M., J. Kumar, R.T. Mills, and W.W. Hargrove. 2013. Representativeness-Based Sampling Network Design for the State of Alaska. Landscape Ecology 28:1567-1586. DOI 10.1007/s10980-013-9902-0. Data for this paper published separately as DOI:10.5440/1108686.
    30 Citations. This paper was awarded the Outstanding Ecology Paper by the US International Association of Landscape Ecology (US-IALE) in 2014.

  93. Norman, S.P., W.W. Hargrove, J.P. Spruce, W.M. Christie, and S.W. Schroeder. 2013. Highlights of Satellite-Based Forest Change Recognition and Tracking Using the ForWarn System. U.S. Department of Agriculture Forest Service Southern Research Station General Technical Report SRS-180. Asheville, NC. 30 pgs. (also available in high-resolution, and as a web document)

  94. Potter, K.M., and W.W. Hargrove. 2013. Quantitative Metrics for Assessing Predicted Climate Change Pressure on North American Tree Species. Mathematical and Computational Forestry & Natural-Resource Sciences 5(2):151-169.

  95. Poco, J., A. Dasgupta, Y. Wei, W.W. Hargrove, C.R. Schwalm, R. Cook, E. Bertini and C.T. Silva. 2014. SimilarityExplorer: A Visual Inter-comparison Tool for Multifaceted Climate Data. Computer Graphics Forum :33(3):341-350. doi: 10.1111/cgf. 12390
    33 Citations.

  96. Poco, J., A. Dasgupta, Y. Wei, W.W. Hargrove, C.R. Schwalm, D.N. Huntzinger, R. Cook, E. Bertini, and C.T. Silva. 2014. Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling. Visualization and Computer Graphics, IEEE Transactions on 20 (12):1923-1932. doi: 10.1109/TVCG.2014.2346755

  97. Anderson-Teixeira, K.J., and 105 coauthors. 2015. CTFS-ForestGEO: A Worldwide Network Monitoring Forests in an Era of Global Change. Global Change Biology 21(2):528-549, DOI: 10.1111/gcb.12712. Data used in this paper are also published as DOI 10.15149/1148699.
    220 Citations.

  98. Norman, S.P., W.W. Hargrove, J.P. Spruce, W.M. Christie. 2015. Monitoring Forest Disturbances Across Seasons Using The ForWarn Recognition and Tracking System. Forest Health Monitoring: National Status, Trends and Analysis 2013 Report. Kevin M. Potter and Barbara L Conkling (eds.). General Technical Report SRS-207. Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station, Washington, DC. 199 pgs. (also available at http://www.treesearch.fs.fed.us/pubs/48361)

  99. Jewitt, D., B. Erasmus, P.S. Goodman, T.G. O’Connor, W.W. Hargrove, D.M. Maddalena, and Ed T.F. Witkowski. 2015. Climate-induced change of environmentally defined floristic domains: A conservation based vulnerability framework. Applied Geography 63:33-42.

  100. Potter, K.M., W.W. Hargrove, and F.H. Koch. 2015. Assessing Forest Tree Risk of Extinction and Genetic Degradation from Climate Change. Chapter 17: 177-184 In: Forest Health Monitoring: National Status, Trends, and Analysis 2014. General Technical Report SRS-209. Kevin M. Potter and Barbara L. Conkling (Eds.). Asheville, NC: U.S. Department of Agriculture Forest Service, Southern Research Station. 190 pgs.

  101. Kumar, J., J. Weiner, W. Hargrove, S. Norman, F. Hoffman, and D. Newcomb. 2015. Characterization and Classification of Vegetation Canopy Structure and Distribution within the Great Smoky Mountains National Park using LiDAR. In: Peng Cui, Jennifer Dy, Charu Aggarwal, Zhi-Hua Zhou, Alexander Tuzhilin, Hui Xiong, and Xindong Wu, editors, Proceedings of the 15th Institute of Electrical and Electronics Engineers (IEEE) International Conference on Data Mining Workshops (ICDMW 2015), pages 1478–1485. Institute of Electrical and Electronics Engineers (IEEE), Conference Publishing Services (CPS). doi:10.1109/ICDMW.2015.178. (Archived Dataset available at the ORNL DAAC)

  102. Norman, S.P., F. Koch, and W.W. Hargrove. 2016. Detecting and Monitoring Large-Scale Drought Effects on Forests: Toward an Integrated Approach. In: Vose, James M.; Clark, James S.; Luce, Charles H.; Patel-Weynard, Toral, eds. 2016 . Effects of Drought on Forests and Rangelands in the United States: A Comprehensive Science Synthesis. USDA Forest Service General Technical Report WO-93b. Washington, DC: U.S. Department of Agriculture, Forest Service, Washington Office. 289 pgs. (executive summary) (full text) doi: 10.2737/WO-GTR-93b
    Equal contributions were made from all three authors to this 30-page review, which contains 12 Figures, 4 Tables, and over 100 references. This Drought General Technical Report received the Chief’s Award in 2016 for “Sustaining Forests and Grasslands.” – Compass Live article here

  103. Norman, S.P., F. Koch, and W.W. Hargrove. 2016. A Review of Broad-Scale Drought Monitoring of Forests: Toward an Integrated Data Mining Approach. Forest Ecology and Management 380:346-358. doi: 10.1016/j.foreco.2016.06.027 (published online here, available on TreeSearch here)

  104. Potter, K.M, B.S. Crane, and W.W. Hargrove. 2017. A United States National Prioritization Framework for Tree Species Vulnerability to Climate Change. New Forests 48:275-300. doi: 10.1007/s11056-017-9569-5, Treesearch here

  105. Norman, S.P., W.W. Hargrove, and W.M. Christie. 2017. Spring and Autumn Phenological Variability Across Environmental Gradients of Great Smoky Mountains National Park, USA. Remote Sensing 9(5):407-424. doi: 10.3390/rs9050407 http://www.mdpi.com/2072-4292/9/5/407/htm Treesearch here

  106. Sreepathi, S., J. Kumar, F. Hoffman, R. Mills, V. Sripathi and W.W. Hargrove. 2017. Parallel Multivariate Spatio-Temporal Clustering of Large Ecological Data Sets on Hybrid Supercomputers. Institute of Electrical and Electronics Engineers (IEEE) International Conference on Cluster Computing, ICCC, 2017-September, art. No. 8048938, pp. 267-277.

  107. Brooks, B.J., D.C. Lee, A.R. Desai, L.Y. Pomara, and W.W. Hargrove. 2016. Quantifying Seasonal Patterns in Disparate Environmental Variables Using the PolarMetrics R Package. International Conference on Data Mining (ICDM 2017) Institute of Electrical and Electronics Engineers (IEEE) Proceedings, DMESS 2017.

  108. Kumar, J., F.M. Hoffman, W.W. Hargrove, and N. Collier. 2016. Understanding the Representativeness of FLUXNET for Upscaling Carbon Flux from Eddy Covariance Measurements. Earth Systems Science Data, doi: 10.5194/essd-2016-36. (preprint and reviews available online, but paper was withdrawn by authors due to inability to satisfy the FLUXNET2015 data use policy authorship requirements across the entire globe, see below)

    16 citations We imputed monthly global maps of ecosystem Gross Primary Production for 20 years, based on upscaled flux tower measurements from the newly released FLUXNET2015 data set. The FLUXNET2015 dataset (released in late 2016) contains global FLUXNET measurements from member eddy-covariance flux towers located all over the earth. We used our Generic Imputer (see Accomplishment #7) to produce monthly global maps of ecosystem Gross Primary Productivity for 20 years, producing planetwide monthly maps of GPP from upscaled flux tower measurements. We also calculated global representativeness of the FLUXNET network of flux towers, showing regions which were poorly represented by the current geographic constellation of operating FLUXNET eddy covariance towers. Paper was submitted to Earth System Science Data journal for peer review. Four reviewers posted favorable comments, but the FLUXNET2015 Data Use Policy required contacting over 250 tower owners and offering authorship, not practicable. Although reviewers lauded our leading-edge global synthesis efforts to up-scale local FLUXNET measurements to the global extent, we felt that it was necessary to withdraw the paper from publication because we were unable to satisfy the requirements of the FLUXNET2015 Data Use Policy. We wrote an open letter to the AmeriFlux Team Leaders informing them of the problems we had encountered complying with the FLUXNET2015 Data Use Policy, but no single body is in charge of these planetary data. The Co-Chief Editor of Earth System Science Data, Dr. David Carlson, sent all authors an email stating, “I share your disappointment … …Consider yourselves, along with this journal, at the leading edge of this Open Data effort.” This is the only time that I have ever withdrawn a scientific publication, but it remains available online, and continues to be cited by others. All results available in a Dataset at the ORNL DAAC, Oak Ridge, Tennessee, USA. http://dx.doi.org/10.15486/NGT/1279968

  109. Ergüner, Y., J. Kumar, F.M. Hoffman, H.N. Dalfes, and W.W. Hargrove. 2018. Mapping Ecoregions under Climate Change: A Case Study from the Biological “Crossroads” of Three Continents, Turkey. Landscape Ecology 2019 (34):35-50. Published online: 28 December 2018. doi: 10.1007/s10980-018-0743-8.

  110. Mills, R.T., V. Sripathi, J. Kumar, S. Sreepathi, F.M. Hoffman, and W.W. Hargrove. 2018. Parallel k-means Clustering of Geospatial Data Sets Using Manycore CPU Architectures. Proceedings of the 2018 IEEE International Conference on Data Mining Workshops (ICDMW 2018). Institute of Electrical and Electronics Engineers (IEEE), Conference Publishing Services (CPS). doi:10.1109/ICDMW.2018.00118

  111. Spruce, J.P., J.A. Hicke, W.W. Hargrove, N.E. Grulke, and A.J.H. Meddens. 2019. Use of MODIS NDVI Products to Map Tree Mortality Levels in Forests Affected by Mountain Pine Beetle Outbreaks. Forests 10:811-831. doi: 10.3390/f10090811.

  112. Brooks, B.J., L. Pomara, D.C. Lee, and W.W. Hargrove. 2019. Tracking Landscape Changes Using Trajectories of Clustered Polar Coordinate-Transformed NDVI Phenoclasses. Forests (submitted).