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Ecological Informatics and Modelling

Since 1988

  • Aber, J. D. 1997. Why don't we believe the models?. Bulletin of the Ecological Society of America 78: 232-233.
  • Aber, J. D., Currie, W. S., Castro, M. C., Martin, M., Ollinger, S. 2004. Synthesis and extrapolation: models, remote sensing and regional analysis. In: Foster, D. R., Aber, J. D., Forests in Time: The Environmental Consequences of 1000 Years of Change in New England, Yale University Press, New Haven, CT.
  • Aber, J. D., Driscoll, C. T. 1997. Effects of land use, climate variation and N deposition on N cycling and C storage in northern hardwood forests. Global Biogeochemical Cycles 11: 639-648.
  • Aber, J. D., Driscoll, C. T., Federer, C. A., Lathrop, R. G., Lovett, G., Melillo, J. M., Steudler, P. A., Vogelmann, J. 1993. A strategy for the regional analysis of the effects of physical and chemical climate change on biogeographical cycles in northeastern (U.S.) forests. Ecological Modelling 67: 37-47.
  • Aber, J. D., Federer, C. A. 1992. A generalized, lumped-parameter model of photosynthesis, evapotranspiration and net primary production in temperate and boreal forest ecosystems. Oecologia 92: 463-474.
  • Aber, J. D., Freuder, R. 2000. Sensitivity of a forest production model to variation in solar radiation data sets for the Eastern U.S.. Climate Research 15: 33-43.
  • Aber, J. D., Ollinger, S. V., Federer, C. A., Driscoll, C. T. 1997. Modeling nitrogen saturation in forest ecosystems in response to land use and atmospheric deposition. Ecological Modelling 101: 61-78.
  • Aber, J. D., Ollinger, S. V., Federer, C. A., Reich, P. B., Goulden, M. L., Kicklighter, D. W., Melillo, J. M., Lathrop, R. G. L. 1995. Predicting the effects of climate change on water yield and forest production in the northeastern U.S. Climate Research 5: 207-222.
  • Aber, J. D., Reich, P. B., Goulden, M. I. 1996. Extrapolating leaf CO. Oecologia 106: 257-265.
  • Albani, M., Medvigy, D., Hurtt, G. C., Moorcroft, P. R. 2006. The contributions of land-use change, CO. Global Change Biology 12: 2370-2390.
  • Albani, M., Moorcroft, P. R., Ellison, A. M., Orwig, D. A., Foster, D. R. 2009. Predicting the impact of hemlock Woolly Adelgid on carbon dynamics of Eastern U.S. forests. Can. J. Forest Research : .
  • Asner, G. P., Ollinger, S. V. 2008. Remote Sensing for Terrestrial Biogeochemical Modeling. In: Warner, T., Nellis, M. D. , Foody, G., The Handbook of Remote Sensing, SAGE Publications, United Kingdom.
  • Boose, E. R. 2003. Hurricane impacts in New England and Puerto Rico. In: Greenland, D., Goodin, G., Smith, R. C., Climate Variability and Ecosystem Response at Long-term Ecological Research Sites, Oxford University Press, U.K..
  • Boose, E. R. 2004. A historical-modeling method for reconstructing hurricane impacts. In: Murnane, R., Liu, K., Hurricanes and Typhoons: Past, Present and Future, Columbia University Press, New York.
  • Boose, E. R., Boose, E. F., Lezberg, A. L. 1998. A practical method for mapping trees using distance measurements. Ecology 79: 819-827.
  • Boose, E. R., Chamberlin, K. E., Foster, D. R. 1997. Reconstructing historical hurricanes in New England. Proceedings of 22nd Conference on Hurricanes and Tropical Meteorology. Boston, MA.
  • Boose, E. R., Chamberlin, K. E., Foster, D. R. 2001. Landscape and regional impacts of hurricanes in New England. Ecological Monographs 7: 27-48.
  • Boose, E. R., Ellison, A. M. , Osterweil, L. J. , Podorozhny, R. , Clarke, L. , Wise, A. , Hadley, J. L. , Foster, D. R. 2007. Ensuring Reliable Datasets for Environmental Models and Forecasts. Ecological Informatics 2: 237-247.
  • Boose, E. R., Ellison, A. M., Osterweil, L. J., Podorozhny, R., Clarke, L., Wise, A., Hadley, J. L., Foster, D. R. 2007. Data provenance and reliability in sensor networks. Proceedings of Conference on Coastal Environmental Sensing Networks. Boston, MA.
  • Boose, E. R., Ellison, A. M., Osterweil, L. J., Podorozhny, R., Clarke, L., Wise, A., Hadley, J. L., Foster, D. R. 2007. Ensuring Reliable Datasets for Environmental Models and Forecasts. Proceedings of Novel Concepts of Ecological Data Management, Proceedings of 5th International Conference on Ecological Informatics. .
  • Boose, E. R., Foster, D. R., Barker Plotkin, A., Hall, B. 2003. Geographical and historical variation in hurricanes across the Yucatan Peninsula. In: Gómez-Pompa, A., Allen, M. F., Fedick, S. L., Jiménez, J. J., Lowland Maya Area: Three Millennia at the Human-Wildland Interface, Haworth Press, New York.
  • Boose, E. R., Foster, D. R., Fluet, M. 1994. Hurricane impacts to tropical and temperate forest landscapes. Ecological Monographs 64: 369-400.
  • Boose, E. R., Serrano, M. I., Foster, D. R. 2004. Landscape and regional impacts of hurricanes in Puerto Rico. Ecological Monographs 74: 335-352.
  • Chen, J., Saunders, S. C., Brosofske, K. D. , Crow, T. R. 2006. Linking ecology to landscape hierarchies: From Theory to Application. Nova Publishing, Carbondale, IL, USA.
  • Colburn, B. A. 2009. Show Me a Picture, Tell Me a Story: An Introduction to Graphs for the Analysis of Ecological Data from Schoolyard Science Research Studies.
  • Craine, J. M., Bond, W., Lee, W., Reich, P. B., Ollinger, S. 2003. The resource economics of chemical and structural defenses across nitrogen supply gradients. Oecologia 442: 547-556.
  • Dixon, P. M., Ellison, A. M., Gotelli, N. J. 2005. Improving the precision of estimates of the frequency of rare events. Ecology 86: 1114-1123.
  • Ellison, A. M. 2004. Bayesian inference for ecologists. Ecology Letters 7: 509-520.
  • Ellison, A. M. 2004. Commentary on statistics and the scientific method in ecology by Brian Dennis. In: Taper, M. L., Lele, S. R., The Nature of Scientific Evidence, University of Chicago Press, Chicago, Illinois, USA.
  • Ellison, A. M., Agrawal, A. A. 2005. The Statistics of Rarity - A collection of eight articles. Ecology - Special Feature 86: 1079-1163.
  • Ellison, A. M., Osterweil, L. J. , Hadley, J. L. , Wise, A. , Boose, E. R., Clarke, L. , Foster, D. R., Hanson, A., Jensen, D. , Kuzeja, P.S., Riseman, E., Schultz, H. 2006. Analytic Webs Support the Synthesis of Ecological Data Sets. Ecology 87: 1345-1358.
  • Felzer, B., Kicklighter, D. W., Melillo, J., Wang, C., Zhuang, Q., Prinn, R. G. 2004. Effects of ozone on net primary production and carbon sequestration in the conterminous United States using a biogeochemistry model. Tellus 56: 230-248.
  • Finnie, T. C., Tomlin, C. D., Bossler, J., Cowen, D., Petchenik, B., Thomas, H., Wilbanks, T., Estes, J. 1990. Spatial data needs: the future of the national mapping program. National Academy Press, Washington, D. C.
  • Fitzpatrick, M. C., Preisser, E. L., Ellison, A. M., Elkinton, J. S. 2009. Observer bias and the detection of low-denisty populations. Ecological Applications 19: 1673-1679.
  • Foster, D. R., Boose, E. R. 1992. Patterns of forest damage resulting from catastrophic wind in central New England, USA. Journal of Ecology 80: 79-99.
  • Foster, D. R., Boose, E. R. 1992. Technology development in the LTER Network - Current status of GIS, remote sensing, Internet connectivity, archival storage and global positioning systems. LTER Publication, Seattle, WA: .
  • Foster, D. R., Boose, E. R. 1995. Hurricane disturbance regimes in temperate and tropical forest ecosystems. In: Coutts, M., Grace, J., Wind and Trees, Cambridge University Press, New York, NY.
  • Goodale, C. L., Aber, J. D., Farrell, E. P. 1998. Applying an uncalibrated, physiologically based model of forest productivity to Ireland. Climate Research 10: 51-67.
  • Goodale, C. L., Aber, J. D., Ollinger, S. V. 1998. Mapping monthly precipitation, temperature and solar radiation for Ireland with polynomial regression and a digital elevation model. Climate Research 10: 35-49.
  • Gotelli, N. J., Ellison, A. M. 2004. A Primer of Ecological Statistics. Sinauer Associates, Sunderland, Massachusetts, USA.
  • Gotelli, N. J., Ellison, A. M. 2006. Food-web models predict species abundances in response to habitat change. Public Library of Science Biology 14: e324.
  • Gotelli, N. J., Ellison, A. M. 2006. Forecasting extinction risk with non-stationary matrix models. Ecological Applications 16: 51-61.
  • Heimann, M., Esser, G., Haxeltine, A., Kaduk, J., Kicklighter, D. W., Knorr, W., Kohlmaier, G. H., McGuire, A. D., Melillo, J., Moore, B., Otto, R. D., Prentice, I. C., Sauf, W., Schloss, A. L., Sitch, S., Wittenberg, U., Würth, G. 1998. Evaluation of terrestrial carbon cycle models through simulations of the seasonal cycle of atmospheric CO2: first results of a model intercomparison study. Global Biogeochemical Cycles 12: 1-24.
  • Hill, C. 1997. The representation of categorical ambiguity: a comparison of fuzzy, probabilistic Boolean and index approaches in suitability analysis. Thesis, Harvard University.
  • Jasienski, M., Bazzaz, F. A. 1999. The fallacy of ratios and the testability of models in biology. Oikos 84: 321-326.
  • Jenkins, J. C., Kicklighter, D. W., Aber, J. D. 1999. Sources of variability in NPP predictions at a regional scale: a comparison using PnET-II and TEM 4.0 in northeastern forests. Ecosystems 2: 555-570.
  • Jenkins, J. C., Kicklighter, D. W., Aber, J. D. 2000. Predicting the regional impacts of increased CO. In: Birdsey, R., Hom, J., Mickler, R., Responses of Northern Forests to Environmental Change, Springer-Verlag, .
  • Kicklighter, D. W., Bruno, M., Dönges, S., Esser, G., Heimann, M., Helfrich, F., Ift, F., Joos, F., Kaduk, J., Kohlmaier, G. H., McGuire, A. D., Melillo, J. M., Meyer, R., Moore, B. I. N. A., Prentice, I. C., Sauf, W., Schloss, A. L., Sitch, S., Wittenberg, U., Würth, G. 1999. A first-order analysis of the potential role of CO2 fertilization to affect the global carbon budget: a comparison study of four terrestrial biosphere models. Tellus 51B: 343-366.
  • Kittel, T. G. F., Rosenbloom, N. A., Painter, T. H., Schimel, D. S., Participants, V. E. M. A. P. 1995. The VEMAP integrated database for modeling United States ecosystem/vegetation sensitivity to climate change. Journal of Biogeography 22: 857-862.
  • Kucharik, C. J., Barford, C. C., El Maayar, M., Wofsy, S. C., Monson, R. K., Baldocchi, D. D. 2006. A multiyear evaluation of a Dynamic Global Vegetation Model at three AmeriFlux forest sites: Vegetation structure, phenology, soil temperature, and CO2 and H2O vapor exchange. Ecological Modeling 196: 1-3.
  • Laurence, J. A., Ollinger, S.V. , Woodbury, P. B. 2000. Regional impacts of multiple stresses on productivity and forest health. In: Mickler, R., Birdsey, R., Hom, J., Response of Northern U.S. Forests to Environmental Change, Springer, New York.
  • Law, B. E., Waring, R. H., Aber, J. D., Anthoni, P. M. 2000. Measurements of gross and net ecosystem productivity and water vapor exchange of a Pinus poderosa ecosystem and an evaluation of two generalized models. Global Change Biology 6: 155-168.
  • Lin, J. C., Gerbig, C., Wofsy, S. C., Andrews, A. E., Daube, B. C., Davis, K. J., Grainger, A. 2003. The Stochastic Time-Inverted Lagrangian Transport Model (STILT): Quantitiative analysis of surface sources from atmospheric concentration data No.D16,4493. Journal of Geophysical Research : 4493, 10.1029/2002JD003161.
  • Mahadevan, P., Wofsy, S. C., Matross, D. M., Xiao, X., Dunn, A. L., Lin, J. C., Gerbig, C., Munger, J. W., Chow, V. Y., Gottlieb, E. W. 2008. A satellite-based biosphere parameterization for net ecosystem CO2 exchange: Vegetation Photosynthesis and Respiration Model (VPRM). Global Biogeochem. Cycles 22: doi:10.1029/2006GB002735.
  • Martin, M. E., Aber, J. D. 2000. Estimating forest canopy characteristics as inputs for models of forest carbon exchange by high spectral resolution remote sensing. In: Gholz, H., The Use of Remote Sensing in the Modeling of Forest Productivity at Scales from the Stand to the Globe, Kluwer Academic Publishers, The Netherlands.
  • Martin, M. E., Newman, S. D., Aber, J. D., Congalton, R. 1997. Determining forest species composition using high spectral resolution remote sensing data. Remote Sensing of the Environment 65: 249-254.
  • McDonald, R. I. 2007. Predicting the unknown: rates of environmental problem generation over time. The Environmentalist 26: 221-225.
  • McDonald, R. I., Urban, D. L. 2006. Spatially Varying Rules of Landscape Change: Lessons from a Case Study. Landscape and Urban Planning 74: 7-20.
  • McGuire, A. D., Melillo, J. M., Joyce, A., Kicklighter, D. W., Grace, A. L., Moore, B. III, Vorosmarty, C. J. 1992. Interactions between carbon and nitrogen dynamics in estimating net primary productivity for potential vegetation in North America. Global Biogeochemical Cycles 6: 101-124.
  • McGuire, A. D., Melillo, J. M., Joyce, L. A. 1995. The role of nitrogen in the response of forest net primary production to elevated atmospheric carbon dioxide. Annual Review of Ecology and Systematics 26: 473-503.
  • McGuire, A. D., Melillo, J. M., Kicklighter, D. W., Joyce, L. A. 1995. Equilibrium responses of soil carbon to climate change: Empirical and process-based estimates. Journal of Biogeography 22: 785-796.
  • McGuire, A. D., Melillo, J. M., Kicklighter, D. W., Pan, Y., Xiao, X., Helfrich, J., Moore, B. III, Vorosmarty, C. J., Schloss, A. L. 1997. Equilibrium responses of global net primary production and carbon storage to doubled atmospheric carbon dioxide: Sensitivity to changes in vegetation nitrogen concentration. Global Biogeochemical Cycles 11: 173-189.
  • McGuire, A. D., Melillo, J. M., Randerson, J. T., Parton, W. J., Heimann, M., Meier, R. A., Clein-Curley, J. S., Kicklighter, D. W., Sauf, W. 2000. Modeling the effects of snowpack on heterotrophic respiration across northern temperate and high latitude regions: Comparison with measurements of atmospheric carbon dioxide in high latitudes. Biogeochemistry 48: 91-114.
  • Medvigy, D., Wofsy, S. C., Munger, J. W., Hollinger, D. Y., Moorcroft, P. R. 2007. Mechanistic scaling of ecosystem function and dynamics in space and one time: the Ecosystem Demography model version 2. GCB : .
  • Melillo, J. M., McGuire, A D., Kicklighter, D. W., Moore, B. III, Vorosmarty, C. J., Schloss, A. L. 1993. Global climate change and terrestrial net primary production. Nature 363: 234-240.
  • Mills, A. V. 1993. Predicting forest growth and composition - a test of the JABOWA model using data from Earl Stephens' study in the Tom Swamp tract. Thesis, Hampshire College.
  • Moorcroft, P. R. 2006. How close are we to a predictive science of the biosphere?. Trends in Ecology and Evolution 121: 400-407.
  • Moorcroft, P. R., Hurtt, G. C. , Pacala, S. W. 2001. A method for scaling vegetation dynamics: the ecosystem demography model (ED). Ecology Mongraphs 74: 557-586.
  • Moorehead, D. L., Currie, W. S., Rastetter, E. B., Parton, W. J., Harmon, M. E. 1999. Climate and litter quality controls on decomposition: an analysis of modeling approaches. Global Biogeochemical Cycles 13: 575-589.
  • Ollinger, S. V., Aber, J. D., Federer, C. A. 1998. Estimating regional forest productivity and water yield using an ecosystem model linked to a GIS. Landscape Ecology 13: 323-334.
  • Ollinger, S. V., Aber, J. D., Federer, C. A., Lovett, G. M., Ellis, J. M. 1995. Modeling physical and chemical climatic variables across the northeastern U.S. for a geographic information system. General Tech. Report NE-191: 30.
  • Ollinger, S. V., Aber, J. D., Lovett, G. M., Millham, S. E., Lathrop, R. G., Ellis, J. E. 1993. A spatial model of atmospheric deposition for the northeastern U.S. Ecological Applications 3: 459-472.
  • Ollinger, S. V., Aber, J. D., Reich, P. B. 1996. Predicting the effects of tropospheric ozone on forest productivity in the northeastern U.S.. In: , Proceedings, 1995 Meeting of the Northern Global Change Program, USDA/USFS General Technical Report NE-214, .
  • Ollinger, S. V., Aber, J. D., Reich, P. B. 1997. Simulating ozone effects on forest productivity: interactions between leaf,-canopy,-and stand-level processes. Ecological Applications 7: 1237-1251.
  • Ollinger, S. V., Aber, J. D., Reich, P. B., Freuder, R. 2002. Interactive effects of nitrogen deposition, tropospheric ozone, elevated CO2 and land use history on the carbon dynamics of northern hardwood forests. Global Change Biology 8: 545-562.
  • Ollinger, S. V., Goodale, C. L. , Hayhoe, K. , Jenkins, J. P. 2008. Potential effects of climate and rising CO2 on ecosystem processes in northeastern U.S. forests. Mitigation and Adaptation Strategies for Global Change 13: 467-485.
  • Ollinger, S. V., Smith, M. L. 2005. Net Primary Production and Canopy Nitrogen in a temperate forest landscape: an analysis using imaging spectrometry, modeling and field data. Ecosystems 8: 760-778.
  • Ollinger, S. V., Treuhaft, R. N., Braswell, B. H., Anderson, J. E., Martin, M. E., Smith, M-L. 2007. The Role of Remote Sensing in the Study of Terrestrial Net Primary Production.. In: Fahey, T. J., Knapp, A., Principles and Standards for Measuring Net Primary Production in Long-Term Ecological Studies, Oxford University Press, London.
  • Osterweil, L. J., Wise, A., Clarke, L., Ellison, A. M., Hadley, J. L., Boose, E. R., Foster, D. R. 2006. Process technology to facilitate the conduct of science.. Proceedings of International Software Process Workshop. Beijing, China.
  • Pan, Y., McGuire, A. D., Kicklighter, D. W., Melillo, J. M. 1996. The importance of climate and soils for estimates of net primary production: a sensitivity analysis with the terrestrial ecosystem model. Global Change Biology 2: 5-23.
  • Pan, Y., Melillo, J. M., McGuire, A. D., Kicklighter, D. W., Pitelka, L. F., Hibbard, K., Pierce, L. L., Running, S. W., Ojima, D. S., Parton, W. J., Schimel, D. S., Members, V. E. M. A. P. 1998. Modeled responses of terrestrial ecosystems to elevated atmospheric CO2: A comparison of simulations by the biogeochemistry models of the Vegetation/Ecosystem Modeling and Analysis Project (VEMAP). Oecologia 114: 389-404.
  • Pathmathevan, M., Wofsy, S. C., Matross, D. M., Xiao, X., Dunn, A. L., Lin, J. C., Gerbig, C., Munger, J. W. , Chow, V. Y., Gottlieb, E. W. 2007. A Satellite-Based Biosphere Parameterization for Net Ecosystem CO2 Exchange: Vegetation Photosynthesis and Respiration Model (VPRM). Global Biogeochemical Cycles : .
  • Prinn, R. G., Jacoby, H., Sokolov, A. P., Wang, C., Xiao, X., Yang, Z., Eckaus, R., Stone, E. L., Ellerman, D., Melillo, J., Fitzmaurice, J., Kicklighter, D. W., Holian, G., Liu, Y. 2000. Integrated global system model for climate policy assessment: Feedbacks and sensitivity studies. Climatic Change 41: 469-546.
  • Rastetter, E. B., Ryan, M. G., Shaver, G. R., Melillo, J. M., Nadelhoffer, K. J., Hobbie, J. E., Aber, J. D. 1991. A general biogeochemical model describing the responses of the C and N cycles in terrestrial ecosystems to changes in CO2 climate and N deposition. Tree Physiology 9: 101-126.
  • Richardson, A. D., Braswell, B. H., Hollinger, D. Y., Burman, P., Davidson, E. A., Evans, R. S., Flanagan, L. B., Munger, J. W., Savage, K. E., Urbanski, S. P., Wofsy, S. C. 2006. Comparing simple respiration models for eddy flux and dynamic chamber data. Agricultural and Forest Meteorology 141: 219-234.
  • Richardson, A. D., Hollinger, D. Y., Burba, G. G., Davis, K. J., Flanagan, L. B., Katul, G. G., Munger, J. W., Ricciuto, D. M., Stoy, P. C., Suyker, A. E., Verma, S. B., Wofsy, S. C. 2006. A multi-site analysis of random error in tower-based measurements of carbon and energy fluxes. Agricultural and Forest Meteorology 136: 1-18.
  • Smith, M. L., Martin, M. E., Ollinger, S. V., Plourde, L. C. 2003. Analysis of hyperspectral data for estimation of temperate forest canopy nitrogen concentration: comparison between an airborne (AVIRIS) and a spaceborne (HYPERION) sensor.. IEEE Transactions on Geosciences and Remote Sensing. 41: 1332-1337.
  • Smith, M. L., Ollinger, S. V., Martin, M. E., Aber, J. D., Goodale, C. G. 2002. Direct prediction of aboveground forest productivity by remote sensing of canopy nitrogen. Ecological Applications 12: 1286-1302.
  • Solbrig, O. T. 1991. Savanna modelling for global change. , .
  • Song, C. 2006. Estimating tree crown size with spatial information of high resolution optical remotely sensed imagery. International Journal of Remote Sensing : .
  • Song, C. 2008. Bayesian Spectral Mixture Analysis for Urban Vegetation. In: Weng, Q., Quattrochi, D., Urban Remote Sensing, Taylor and Francis, .
  • Song, C., Dickinson, M. B. 2008. Extracting forest canopy structure using spatial information of Ikonos imagery: tree crown size vs. leaf area index.. Forest Ecology and Management : .
  • Song, C., Schroeder, T. A., Cohen, W. B. 2008. Mapping temperate conifer forest successional stage distributions with multitemporal Landsat Thematic Mapper imagery.. Remote Sensing of Environment : .
  • Taverna, K., Urban, D. L., McDonald, R. I. 2005. Modeling landscape vegetation pattern in response to historic land-use: a hypothesis-driven approach for the North Carolina Piedmont, USA.. Landscape Ecology : 46.
  • Tian, H., Melillo, J. M., Kicklighter, D. W., McGuire, A. D., Helfrich, J. 1999. The sensitivity of terrestrial carbon storage to historical climate variability and atmospheric CO2 in the United States. Tellus 51B: 414-452.
  • Tomlin, C. D. 1990. Geographic Information Systems and Cartographic Modeling. Prentice-Hall, New Jersey.
  • Tomlin, C. D. 1991. Cartographic modeling. In: Goodchild, M., Maguire, D., Rhind, R., Geographic Information Systems: Principles and Applications, Longman Group, Ltd, Harlow, Essex, United Kingdom.
  • Tomlin, C. D., Johnston, K. 1988. Land use allocation with a geographic information system. Proceedings of Proceedings of the Annual Meeting of the American Congress on Surveying and Mapping and the American Society of Photogrammetry. .
  • Tomlin, C. D., Johnston, K. 1988. ORPHEUS: an integration. Proceedings of Proceedings of the Annual Meeting of the American Congress on Surveying and Mapping and the American Society of Photogrammetry. .
  • Tomlin, C. D., Johnston, K. M. 1990. The ORPHEUS Land Use Allocation Model. Geo-Information-Systems 3: 10-13.
  • Turner, D. P., Ollinger, S. V., Kimball, J. S. 2004. Integrating Remote Sensing and Ecosystem Process Models for Landscape to Regional Scale Analysis of the Carbon Cycle. BioScience 54: 573-584.
  • Turner, D. P., Ollinger, S. V., Smith, M. L., Krankina, O., Gregory, M. 2004. Scaling net primary production to a MODIS footprint in support of earth observing system product validation. International Journal of Remote Sensing 25: 1961-1980.
  • Turner, D. P., Ritts, W. D., Zhao, M. S., Kurc, S. A., Dunn, A. L., Wofsy, S. C., Small, E. E., Running, S. W. 2006. Assessing interannual variation in MODIS-based estimates of gross primary production. IEEE Transactions on Geoscience and Remote Sensing 44: 1899-1907, part 1.
  • Urban, D. L., McDonald, R. I., Minor, E. S., Treml, E. A. 2006. Causes and consequences of land use change in the North Carolina Piedmont. In: Wu, J., Jones, B., Li, H., Loucks, O. L., Scaling and Uncertainty Analysis in Ecological Studies, Springer, Dordrecht, The Netherlands..
  • Wessman, C. A., Aber, J. D., Peterson, D. L. 1989. An evaluation of imaging spectrometry for estimating forest canopy chemistry. International Journal of Remote Sensing. 10: 1293-1316.
  • Wessman, C. A., Aber, J. D., Peterson, D. L., Melillo, J. M. 1988. Foliar analysis using near infrared spectroscopy. Canadian Journal of Forest Research 18: 6-11.
  • Wessman, C. A., Aber, J. D., Peterson, D. L., Melillo, J. M. 1988. Remote sensing of canopy chemistry and nitrogen cycling in temperate forest ecosystems. Nature 335: 154-156.
  • Williams, M., Rastetter, E. B., Fernandes, D. N., Goulden, M. L., Wofsy, S. C., Shaver, G. R., Melillo, J. M., Munger, J. W., Fan, S.-M., Nadelhoffer, K. J. 1996. Modeling the soil-plant atmosphere continuum in a Quercus-Acer stand at Harvard Forest: the regulation of stomatal conductance by light nitrogen and soil/plant hydraulic properties. Plant, Cell and Environment 19: 911-927.
  • Xiao, X., Kicklighter, D. W., Melillo, J. M., McGuire, A. D., Stone, P. H., Sokolov, A. P. 1997. Linking a global terrestrial biogeochemical model and a 2-dimensional climate model: implications for the carbon budget. Tellus 49B: 18-37.
  • Xiao, X., Zhang, Q., Saleska, S., Hutyra, L. R., De Camargo, P., Wofsy, S. C., Frolking, S. E., Boles, S., Keller, M., Moore III, B. 2005. Satellite-based modeling of gross primary production in a seasonally moist tropical evergreen forest. Remote Sensing of the Environment 94: 105-122.
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