Jim Clark, Professor of Global Environmental Change and Statistical Science
Consequences of climate, CO2, and disturbance on dynamics of forests.
CWT Science Advisory Committee
Primary Organization: Duke University
Dr. James S. Clark
Nicholas School of the Environment
Department of Statistical Science
Durham, NC 27706
Office Phone: 919.613.8036
CWT Data Sets:
1300 (Microclimate data from stations within the Great Smoky Mountains National Park, NC)
1113 (Manual soil moisture measurements from ten artificial forest gaps at the Coweeta Hydrologic Laboratory, North Carolina, 2000-2018)
1046 (Tree census, demography, and exposed canopy area data at the Coweeta LTER Terrestrial Gradient Sites, Coweeta Hydrological Laboratory, Otto, NC from 1993 to 2016)
1047 (Climate Vulnerability of Southern Appalachian Forests)
1114 (Continuous microclimate measurements from Forest Site J, Coweeta Hydrologic Laboratory, North Carolina, 2007-2016.)
(most recent displayed - view all)
CWT Publications and Presentations: (custom bibliography)
Knoepp, Jennifer D.; See, Craig R.; Vose, James M.; Miniat, Chelcy F.; and Clark, James S. 2018. Total C and N Pools and Fluxes Vary with Time, Soil Temperature, and Moisture Along an Elevation, Precipitation, and Vegetation Gradient in Southern Appalachian Forests. Ecosystems. DOI: 10.1007/s10021-018-0244-2
Seyednasrollah, B. J. Swenson, J. C. Domec, and J. S. Clark. (2018). Leaf phenology paradox: why warming matters most where it is already warm. Remote Sensing of Environment, 209, 446 – 455. RSE2018, https://doi.org/10.1016/j.rse.2018.02.059
Seyednasrollah, B., Swenson, J.L., Domec, J-C., Clark, J.S. (2018) Leaf phenology paradox: Why warming matters most where it is already warm. Remote Sensoing of Environment 209:446-455. https://doi.org/10.1016/j.rse.2018.02.059
Berdanier, Aaron B., Chelcy F. Miniat, and James S. Clark, (2016) Predictive models for radial sap flux variation in coniferous, diffuse-porous and ring-porous temperate trees Tree Physiol. 36 (8): 932-941 doi:10.1093/treephys/tpw027
Schliep, Erin M., Alan E. Gelfand, James S, Clark and Kai Zhu, 2015, Modeling change in forest biomass across the eastern US, Environmental and Ecological Statistics, pp 1-19,10.1007/s10651-015-0321-z
James S. Clark, Alan E. Gelfand, Christopher W. Woodall, and Kai Zhu 2014. More than the sum of the parts: forest climate response from joint species distribution models. Ecological Applications 24:990 - 999. http://dx.doi.org/10.1890/13-1015.1
Clark, J.S., D. M Bell, M. Kwit, A. Powell, And K. Zhu. 2013. Dynamic inverse prediction and sensitivity analysis with high-dimensional responses: application to climate-change vulnerability of biodiversity. Journal of Biological, Environmental, and Agricultural Statistics, 18:376-404.
Clark, J.S., B.D. Soltoff, A.S. Powell, and Q.D. Read. 2012. Evidence from individual inference for high-dimensional coexistence: long term experiments on recruitment response. PLoS One, 7 e30050. doi:10.1371/journal.pone.0030050.
Clark, J.S., D. M. Bell, M. Kwit, A. Powell, R. Roper, A. Stine, B. Vierra, and K. Zhu. 2012. Individual-scale inference to anticipate climate-change vulnerability of biodiversity. Philosophical Transactions of the Royal Society B, 367, 236-246.
Clark, James S., David M. Bell, Matthew Kwit, A., Anne Stine, Ben Vierra, and Kai Zhu. 2012. Individual scale inference to anticipate climate change vulnerability of biodiversity. Philosophical Transactions of the Royal Society B 367:236-246.
Ghosh, S., Gelfand, A. and Clark, J.S. 2012. Inference for size demography from point pattern data using integral projection models. Journal of Agricultural, Biological and Environmental Statistics. (DOI: 10.1007/s13253-012-0121-y)
Uriarte M., J. S. Clark, J. K. Zimmerman, L. S. Comita, J. Forero-Montaña, and J. Thompson. 2012. Multi-dimensional tradeoffs in species responses to disturbance: Implications for diversity in a subtropical forest. Ecology. 93(1):191-205
Wu, W., Clark, J.S. and Vose, J.M. 2012. Application of a full hierarchical Bayesian model in assessing streamflow response to a climate change scenario at the Coweeta Basin, NC, USA. Journal of Resources and Ecology. 3(2):118-128. (DOI: http://dx.doi.org/10.5814/j.issn.1674-764x.2012.02.003)
Clark, J.S., D.M. Bell, M.H. Hersh, and L. Nichols. 2011. Climate change vulnerability of forest biodiversity: climate and resource tracking of demographic rates. Global Change Biology, 17, 1834-1849.
Clark, J.S., D.M. Bell, M.H. Hersh, M. Kwit, E. Moran, C. Salk, A. Stine, D. Valle, and K. Zhu. 2011. Individual-scale variation, species-scale differences: inference needed to understand diversity. Ecology Letters 14, 1273-1287.
Clark, J.S., P. Agarwal , D.M. Bell , P. Flikkema , A. Gelfand , X. Nguyen , E. Ward , and J. Yang. 2011. Inferential ecosystem models, from network data to prediction. Ecological Applications, 21,1523-1536.
Moran, Emily V. and James S. Clark. 2011. Estimating seed and pollen movement in a monoecious plant: a hierarchical Bayesian approach integrating genetic and ecological data. Molecular Ecology 20:1248-1262.
Wu, W., J.S. Clark, and J. Vose. 2011. Assimilating multi-source uncertainties of a parsimonious conceptual hydrological model using hierarchical Bayesian modeling. Journal of Hydrology, 394, 436-446.
Clark, J.S., D. Bell, C. Chu, B. Courbaud, M. Dietze, M. Hersh, J. HilleRisLambers, I. Ibanez, S. L. LaDeau, S. M. McMahon, C.J.E. Metcalf, J. Mohan, E. Moran, L. Pangle, S. Pearson, C. Salk, Z. Shen, D. Valle, and P. Wyckoff. 2010. High dimensional coexistence based on individual variation: a synthesis of evidence. Ecological Monographs, 80:569-608
Luo, Y., S. Niu, J. Melillo, C. Beier, J.S. Clark, A. Classen, E. Davidson, J. S. Dukes, D. Evans, C. Field, C. I. Czimczik, M. Keller, L. Kueppers, R. Norby, S. L. Pelini, E. Pendall, E. Rastetter, J. Six, M. Smith, M. Tjoelker, M. Torn. 2010. Coordinated approaches to quantify Long-Term Ecosystem dynamics in response to global change. Global Change Biology, in press.
Vieilledent, G., B. Courbaud, G. Kunstler, J.-F. Dhote, and J.S. Clark. 2010. Individual variability in tree allometry determines light resource allocation in forest ecosystems: a hierarchical Bayesian approach. Oecolgia, in press.
Colchero, F., R. A. Medellin, J. S. Clark, R. Lee, and G. G. Katul. 2009. Predicting population survival under future climate change: density dependence, drought and extraction in an insular bighorn sheep. Journal of Animal Ecology, 78:666-673.
Cressie, N., C. A. Calder, J. S. Clark, J. M. Ver Hoef, and C. K. Wikle. 2009. Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistical modeling. Ecological Applications, 19:553-570.
McMahon, S. M., M. C. Dietze, M. H. Hersh, E. V. Moran, and J. S. Clark. 2009. A predictive framework to understand forest responses to global change. Pages 221-236 in R. Ostfeld and W.H. Schlesinger (eds) Year in Ecology and Conservation Biology 2009.
Metcalf, C.J.E., J. S. Clark, and D. A. Clark. 2009. Tree growth inference and prediction when the point of measurement changes: modelling around buttresses in tropical forests. Journal of Tropical Ecology, 25:1-12.
Metcalf, C.J.E., J. S. Clark, and S. M. McMahon. 2009. Overcoming data sparseness and parametric constraints in modeling of tree mortality: a new non-parametric Bayesian model. Canadian Journal of Forest Research, 39, 1677-1687.
Noel, C., Calder, C., Clark, J., Ver Hoef, J., Wikle, C. 2009. Accounting for uncertainty in ecological analysis: the strengths and limitations of hierarchical statistic modeling. Ecological Applications, 19(3): 553-570
Vieilledent, G., B. Courbaud, G. Kunstler, J.-F. Dhôte, and J. S. Clark. 2009. Biases in the estimation of size dependent mortality models: advantages of a semi-parametric approach. Canadian Journal of Forest Research, 39, 1430-1443.
Clark, J.S., M. Wolosin, M. Dietze, I. Ibanez, S. LaDeau, M. Welsh, and B. Kloeppel. 2007. Tree growth inference and prediction from diameter censuses and ring widths. Ecological Applications 17(7): 1942-1953.
Mohan, J.E., J.S. Clark, and W.H. Schlesinger. 2004. Genetic variation in germination, growth, and survivorship of red maple in response to subambient through elevated atmospheric CO2. Global Change Biology. 10: 233-247.
Hille Ris Lambers, J., and J.S. Clark. 2003. Effects of dispersal, shrubs, and density-dependent mortality on seed and seedling distributions in temperate forests. Canadian Journal Forestry Research. 33: 783-795.
Clark, J.S., S.R. Carpenter, M. Barber, S. Collins, A. Dobson, J.A. Foley, D.M. Lodge, M. Pascual, R. Pielke Jr., W. Pizer, C. Pringle, and W. Reid. 2001. Ecological Forecasts: An Emerging Imperative. Science. 293: 657-660.
Beckage, B., J.S. Clark, B.D. Clinton, and B.L. Haines. 2000. A long-term study of tree seedling recruitment in southern Appalachian forests: the effects of canopy gaps and shrub understudies. Canadian Journal Forestry Research. 30: 1617-1631.
Clark, J.S., B. Beckage, P. Camill, B. Cleveland,J. Hille Ris Lambers, J. Lichter, J. McLachlan, J. Mohan, and P. Wyckoff. 1999. Interpreting Recruitment Limitation In Forests. American Journal of Botany. 86(1): 1-16.
Clark, J.S., C. Fastie, G. Hurtt, S.T. Jackson, C. Johnson, G.A. King, M. Lewis, J. Lynch, S. Pacala, C. Prentics, E.W. Schupp, T. Webb III, and P. Wyckoff. 1998. Reid's paradox of rapid plant migration: dispersal theory and interpretation of paleoecological records. Bioscience 48(1): 13-24.
Pitelka, L.F., R.H. Gardner, J. Ash, S. Berry, H. Gitay, I.R. Noble, A. Saunders, R.H.W. Bradshaw, L. Brubaker, J.S. Clark, M.B. Davis, S. Sugita, J.M. Dyer, R. Hengeveld, G. Hope, B. Huntley, G.A. King, S. Lavorel, R.N. Mack, G.P. Malanson, and M. McGlon. Plant Migration and Climate Change. American Scientist 85: 464-473.
Clark, J.S., B.J. Stocks., and P.J.H. Richard. 1996. Climate implications of biomass burning since the 19th century in eastern North America. Global Change Biology 2: 433-442.
Books and Book Sections
Clark, J.S., D. Bell, M. Dietze, M. Hersh, I. Ibanez, S. LaDeau, S. M. McMahon, C.J.E. Metcalf, E. Moran, L. Pangle, and M. Wolosin. 2010. Models for demography of plant populations. Pages 431 - 481 in T. O'Hagan and M. West (eds) Handbook of Bayesian Analysis, Oxford University Press.