Archived Data Products
Modeling Protocols


Dietze, M.C. 2017. Ecological Forecasting. Princeton University Press. Book details here.

Hobbs, N.T. & M.B. Hooten. 2015. Bayesian Models: A Statistical Primer for Ecologists. Princeton University Press. Book details here.

Peer Reviewed Publications


Feng, X., Zhu, J., Lin, P.-S., and Steen-Adams, M.M. 2017. Composite likelihood approach to the regression analysis of spatial multivariate ordinal data and spatial compositional data with exact zero values. Journal of Environmental and Ecological Statistics, 24:39-68. Abstract

Itter, M.S., A.O. Finley, A.W. D’Amato, J.R. Foster and J.B. Bradford. 2017. Variable effects of climate on forest growth in relation to climate extremes, disturbance, and forest dynamics. Ecological Applications, 27:1082-1095. doi:10.1002/eap.1518. Abstract

Goring, S. J., and J. W. Williams. 2017. Effect of historical land-use and climate change on tree-climate relationships in the upper Midwestern United States. Ecology Letters, 20: 461-470. doi:10.1111/ele.12747. Abstract

Rollinson, C.R., Y. Liu, A. Raiho, D.J.P. Moore, J. McLachlan, D.A. Bishop, A. Dye, J. Hatala Matthes, A. Hessl, T. Hickler, N. Pederson, B. Poulter, T. Quaife, K. Schaefer, J. Steinkamp, M.C.Dietze. 2017. Emergent climate and CO2 sensitivities of net primary productivity in ecosystem models do not agree with empirical data in temperate forests of eastern North America. Global Change Biology. doi:10.1111/gcb.13626. Abstract

Tipton, J., M. Hooten, S. Goring. 2017. Reconstruction of spatiotemporal temperature processes from sparse historical records using probabilistic principal component regression. Advances in Statistical Climatology, Meteorology, and Oceanography 3:1-16. doi:10.5194/ascmo-3-1-2017. Abstract


Goring, S.J., D.J. Mladenoff, C.V. Cogbill, S. Record, C.J. Paciorek, S.T. Jackson, M.C. Dietze, A. Dawson, J. Hatala Matthes, J.S. McLachlan, J.W. Williams. 2016. Novel and Lost Forests in the Upper Midwestern United States, From New Estimates of Settlement-Era Composition, Stem Density, and Biomass. PLoS ONE 11(12): e0151935. doi:10.1371/journal.pone.0151935. Paper

Kujawa, E.R., S. Goring, A. Dawson, R. Calcote, E.C. Grimm, S.C. Hotchkiss, S.T. Jackson, E.A. Lynch, J. McLachlan, J. St-Jacques, C. Umbanhowar Jr., and J.W. Williams. 2016. The effects of anthropogenic land cover change on pollen-vegetation relationships in the American Midwest. Anthropocene 15: 60-71. Abstract

Dye, A, A Barker-Plotkin, D Bishop, N Pederson, B Poulter and A Hessl. 2016. Comparing tree-ring and permanent plot estimates of aboveground net primary production in three Eastern U.S. forests. Ecosphere 7(9):e01454.10.1002/ecs2.1454. Paper

Deines JM, D Williams, Q Hamlin, JS McLachlan. 2016. Changes in regional forest composition in Ohio between Euro-American settlement and the present. American Midland Naturalist 176(2): 247-271. Abstract

Dawson, A., et al. 2016. Quantifying pollen-vegetation relationships to reconstruct ancient forests using 19th-century forest composition and pollen data. Quaternary Science Reviews 137: 156-175. Abstract

Matthes, J.H., et al. 2016. Benchmarking historical CMIP5 plant functional types across the Upper Midwest and Northeastern United States. Journal of Geophysical Research: Biogeosciences. doi:10.1002/2015JG003175. Paper

Paciorek C.J., et al. 2016. Statistically-estimated tree composition for the Northeastern United States at Euro-American Settlement. PLoS ONE 11(2): e0150087. doi:10.1371/journal.pone.0150087. Paper

Tipton, J., M.B. Hooten, N. Pederson, M. Tingley, and D. Bishop. (2015). Reconstruction of late Holocene climate based on tree growth and mechanistic hierarchical models. Environmetrics. DOI: 10.1002/env.2368. Abstract

Marlon, J.R., Kelly, R., A-L Daniau, B. Vanniere, M.J. Power, P. Bartlein,P. Higuera, O. Blarquez, S. Brewer, T. Brucher, A. Feurdean, G. Gil-Romera, V. Iglesias, S.y. Maezumi, B. Magi, C.J.C. Mustaphi, T. Zhihai. 2016. Reconstructions of biomass burning from sediment charcoal records to improve data-model comparisons. Biogeosciences 13:3225-3244. doi:10.5194/bg-13-3225-2016. Abstract


Bishop, D. & N. Pederson. 2015. Regional variation of rainless day frequency across a subcontinental hydroclimate gradient. Journal of Extreme Events, 2(2): 1550007. DOI: 10.1142/S2345737615500074. Abstract

Goring, S., et al. 2015. neotoma: A Programmatic Interface to the Neotoma Paleoecological Database; Open Quaternary. DOI:

Jackson, S.T. & J.L Blois. 2015. Community ecology in a changing environment: Perspectives from the Quaternary. Proceedings of the National Academy of Science, 112(16): 4915-4921. Abstract

Hooten, M.B. & N.T. Hobbs. 2015. A guide to Bayesian model selection for ecologists. Ecological Monographs, 85: 3-28. Abstract

Walsh, MK, JR Marlon, S Goring, KJ Brown, D Gavin. 2015. A regional perspective on Holocene on fire-climate-human interactions in the Pacific Northwest. Annals of the Association of American Geographers. 105(6): 1135-1157. Abstract

Finley, A.O., S. Banerjee, A.E. Gelfand. 2015. spBayes for large univariate and multivariate point-referenced spatio-temporal data models. Journal of Statistical Software, 63(13):1-28. Abstract

Datta, A., S. Banerjee, A.O. Finley, A.E. Gelfand. 2015. Hierarchical Nearest-Neighbor Gaussian process models for large geostatistical datasets. Journal of the American Statistical Association. DOI: 10.1080/01621459.2015.1044091. Abstract

Zennaro, P., et al. 2015. Europe on fire three thousand years ago: Arson or climate?. Geophysical Research Letters, 42, 5023-2033. doi: 10.1002/2015GL064259. Paper


Blarquez, O., et al. 2014. Paleofire: An R package to analyse sedimentary charcoal records from the Global Charcoal Database to reconstruct past biomass burning. Computers & Geosciences, 72: 255-261. Abstract

Finley, A.O, et al. 2014. Dynamic spatial regression models for space-varying forest stand tables. Environmetrics, 25: 596-609.

Feng, X., et al. 2014. Composite likelihood estimation for spatial ordinal data and spatial proportional data with zero/one values. Environmetrics. 25(8):571-583. DOI: 10.1002/env.2306. Abstract

Finley, A.O., S. Banerjee, and B.D. Cook. 2014. Bayesian hierarchical models for spatially misaligned data in R. Methods in Ecology and Evolution. 5(6):514-523. Abstract

Articles in a Special Issue of Frontiers in Ecology and the Environment on Macrosystem Ecology

  1. Goring, S.J., et al. 2014. Improving the culture of interdisciplinary collaboration in ecology by expanding measures of success. Frontiers in Ecology and the Environment. 12(1): 39-47. DOI: 10.1890/120370
  2. Cheruvelil KS, et al. 2014. Creating and maintaining high-performing collaborative research teams: the importance of diversity and interpersonal skills. Frontiers in Ecology and the Environment 12(1): 31-38. DOI: 10.1890/130001
  3. Heffernan JB, et al. 2014. Macrosystems ecology: understanding ecological patterns and processes at continental scales. Frontiers in Ecology and the Environment 12(1): 5-14. DOI: 10.1890/130017
  4. Levy O, et al. 2014. Approaches to advance scientific understanding of macrosystems ecology. Frontiers in Ecology and the Environment 12(1): 15-23. DOI: 10.1890/130019


Record, S., et al. 2013. Should species distribution models account for spatial autocorrelation? A test of model projections across eight millennia of climate change. Global Ecology and Biogeography, 22:760-771. Abstract

Marsicek JP, et al. 2013. Moisture and temperature changes associated with the mid-Holocene Tsuga decline in the northeastern United States. Quaternary Science Reviews 80: 129-142.

Day LT, et al. 2013. Analysis of hemlock pollen size in Holocene lake sediments from New England. Quaternary Research 79: 362-365.

Swanson, A., et al. 2013. Spatial regression methods capture prediction uncertainty in species distribution model projections through time. Global Ecology and Biogeography, 22:242-251. Abstract

Paciorek CJ. 2013. Spatial models for point and areal data using Markov random fields on a fine grid. Electronic Journal of Statistics 7:946-972. Abstract

Clifford, M.J. & R.K. Booth. 2013. Increased fire probability of fire during late Holocene droughts in northern New England. Climate Change 119: 693-704.  Abstract

Dietze, M.C., D.S. LeBauer & R. Kooper. 2013. On improving the communication between models and data. Plant, Cell & Environment, 36(9):1575-1585. Abstract


Goring, S.J., et al. 2012. Deposition times in the northeastern United States during the Holocene: establishing valid priors for Bayesian age models. Quaternary Science Reviews 48: 54-60. Abstract

Jackson, S.T. 2012. Representation of flora and vegetation in Quaternary fossil assemblages: known and unknown knowns and unknowns. Quaternary Science Reviews 49:1-15. Abstract

Kumar, J., et al. 2012. Sub-daily statistical downscaling of meteorological variables using neural networks. Procedia Computer Science 9:887-896. Abstract

Paciorek, C. P. & J. S. McLachlan. 2009. Mapping Ancient Forests: Bayesian Inference for Spatio-Temporal Trends in Forest Composition Using the Fossil Pollen Proxy Record. Journal of the American Statistical Association. 104(486): 608-622. doi:10.1198/jasa.2009.0026. Abstract