Research Publications

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. Variation among solar radiation data sets for the Eastern US and its effects on predictions of forest production and water yield. 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.
• Abramoff, R. Z., Davidson, E. A., Finzi, A. C. 2017. A parsimonious modular approach to building a mechanistic belowground carbon and nitrogen model. Journal of Geophysical Research: Biogeosciences 122: 2418-2434.
• Alapaty, K., Cheng, B., Bash, J., Munger, J. W., Walker, J.T., Arunachalam, S. 2022. Dry Deposition Methods Based on Turbulence Kinetic Energy: 1. Evaluation of Various Resistances and Sensitivity Studies Using a Single-Point Model. Journal of Geophysical Research: Atmospheres 127: e2022JD036631.
• Albani, M., Medvigy, D., Hurtt, G. C., Moorcroft, P. R. 2006. The contributions of land-use change, CO2 fertilization, and climate variability to the Eastern US carbon sink. Global Change Biology 12: 2370-2390.
• Antonarakis, A. S., Siqueira, P., Munger, J. W. 2017. Using multi-source data from lidar, radar, imaging spectroscopy, and national forest inventories to simulate forest carbon fluxes. International Journal of Remote Sensing 38: 5464-5486.
• 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.
• Baiser, B., Buckley, H. L., Gotelli, N. J., Ellison, A. M. 2013. Predicting food-web structure with metacommunity models. Oikos 112: 492-406.
• Baiser, B., Whitaker, N., Ellison, A. M. 2013. Modeling foundation species in food webs. Ecosphere 4: 1-14.
• Barr, A. G., Richardson, A. D., Hollinger, D. Y., Papale, D., Arain, M. A., Black, A. T., Bohrer, G., Dragoni, D., Fischer, M. L., Gu, L., Law, B. E., Margolis, H. A., McCaughey, J. H., Munger, J. W., Oechel, W., Schaeffer, K. 2013. Use of change-point detection for friction–velocity threshold evaluation in eddy-covariance studies. Agricultural and Forest Meteorology 171-172: 31-45.
• Berberich, G. M., Dormann, C. F., Klimetzek, D., Berberich, M. B., Sanders, N. J., Ellison, A. M. 2016. Detection probabilities for sessile organisms. Ecosphere 7: e01546.
• Bestelmeyer, B. T., Ellison, A. M., Fraser, W. R., Gorman, K. B., Holbrook, S. J., Laney, C. M., Ohman, M. D., Peters, D. P. C., Pillsbury, F. C., Rassweiler, A., Schmitt, R. J., Sharma, S. 2011. Analysis of abrupt transitions in ecological systems. Ecosphere 2: 129.
• Blumstein, M., Thompson, J. R. 2015. Land-use impacts on the quantity and configuration of ecosystem service provisioning in Massachusetts, USA. Journal of Applied Ecology 52: 1009-1019.
• 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 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 71: 27-48.
• 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. Ecological Informatics 2: 237-247.
• 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., Lerner, B. S. 2017. Replication of data analyses: provenance in R. In: Shavit, A., Ellison, A. M., Stepping in the Same River Twice: Replication in Biological Research, Yale University Press, New Haven.
• Boose, E. R., Peterson, F., Remillard, S., Henshaw, D., Harmon, M. 2013. A new way to use PASTA for synthesis: results from the second VEG-DB workshop. LTER Databits Spring: np.
• Boose, E. R., Serrano, M. I., Foster, D. R. 2004. Landscape and regional impacts of hurricanes in Puerto Rico. Ecological Monographs 74: 335-352.
• Borrett, S. R., Lau, M. K. 2014. enaR: An R package for Ecosystem Network Analysis. Methods in Ecology & Evolution 5: 1206-1213.
• Boucher, P. B., Hancock, S., Orwig, D. A., Duncanson, L., Armston, J., Tang, H., Krause, K., Cook, B., Paynter, I., Li, Z., Elmes, A., Schaaf, C. 2020. Detecting Change in Forest Structure with Simulated GEDI Lidar Waveforms: A Case Study of the Hemlock Woolly Adelgid (HWA; Adelges tsugae) Infestation. Remote Sensing 12: 1304, 25 pp.
• Boucher, P. B., Paynter, I., Orwig, D. A., Valencius, I., Schaaf, C. 2021. Sampling forests with terrestrial laser scanning. Annals of Botany 128: 689-707.
• Buckley, H. L., Case, B. S., Ellison, A. M. 2016. Using codispersion analysis to characterize spatial patterns in species co-occurrences. Ecology 96: 32-39.
• Buckley, H. L., Case, B. S., Zimmerman, J. K., Thompson, J., Myers, J. A., Ellison, A. M. 2016. Using codispersion analysis to quantify and understand spatial patterns in species–environment relationships. New Phytologist 211: 735–749.
• Burakowski, E. A., Ollinger, S. V., Bonan, G. B., Wake, C. P., Dibb, J. E., Hollinger, D. Y. 2016. Evaluating the Climate Effects of Reforestation in New England Using a Weather Research and Forecasting (WRF) Model Multiphysics Ensemble. Journal of Climate 29: 5141-5156.
• Burakowski, E. A., Ollinger, S. V., Lepine, L. C., Schaaf, C. B., Wang, Z., Dibb, J. E., Hollinger, D. Y., Kim, J., Erb, A., Martin, M. E. 2015. Spatial scaling of reflectance and surface albedo over a mixed-use, temperate forest landscape during snow-covered periods. Remote Sensing of Environment 158: 465-477.
• Burakowski, E. A., Tawfik, A., Ouimette, A., Lepine, L., Novick, K., Ollinger, S. V., Zarzycki, C., Bonan, G. 2018. The role of surface roughness, albedo, and Bowen ratio on ecosystem energy balance in the Eastern United States. Agricultural And Forest Meteorology 249: 367-376.
• Burakowski, E. A., Tawfik, A., Ouimette, A., Lepine, L., Zarzycki, C., Novick, K., Ollinger, S. V., Bonan, G. 2019. Simulating surface energy fluxes using the variable-resolution Community Earth System Model (VR-CESM). Theoretical and Applied Climatology 138: 115–133.
• Butler, B. J., Catanzaro, P. F., Greene, J. L., Hewes, J. H., Kilgore, M. A., Kittredge, D. B., Ma, Z., Tyrrell, M. L. 2012. Taxing Family Forest Owners: Implications of Federal and State Policies in the United States. Journal of Forestry 110: 371-380.
• Bórnez, K., Richardson, A. D., Verger, A., Descals, A., Peñuelas, J. 2020. Evaluation of VEGETATION and PROBA-V Phenology Using PhenoCam and Eddy Covariance Data. Remote Sensing 12: article 3077, 17 pp.
• Campbell, J. L., Rustad, L. E., Porter, J. H., Taylor, J. R., Dereszynski, E. W., Shanley, J. B., Gries, C., Henshaw, D. L., Martin, M. E., Sheldon, W. M., Boose, E. R. 2013. Quantity is nothing without quality: automated QA/QC for streaming environmental sensor data. BioScience 63: 574-585.
• Carbone, M. S., Seyednasrollah, B., Rademacher, T. T., Balser, D., Le Moine, J. M., Beals, S., Beasley, J., Greene, A., Kelroy, J., Richardson, A. D. 2019. Flux Puppy – An open-source software application and portable system design for low-cost manual measurements of CO2 and H2O fluxes. Agricultural And Forest Meteorology 274: 1-6.
• Case, B. S., Buckley, H. L., Barker Plotkin, A., Ellison, A. M. 2016. Using codispersion analysis to quantify temporal changes in the spatial pattern of forest stand structure. Chilean Journal of Statistics 7: 3-15.
• Case, B. S., Buckley, H. L., Barker Plotkin, A., Orwig, D. A., Ellison, A. M. 2017. When a foundation crumbles: forecasting forest dynamics following the decline of the foundation species Tsuga canadensis. Ecosphere 8: e01893.
• Chao, A., Gotelli, N. J., Hsieh, T. C., Snader, E. L., Ma, K. H., Colwell, R. K., Ellison, A. M. 2014. Rarefaction and extrapolation with Hill numbers: a framework for sampling and estimation in species diversity studies. Ecological Monographs 84: 45-67.
• Chaput, G., Ford, J., DeDiego, L., Narayanan, A., Tam, W. Y., Whalen, M., Huntemann, M., Clum, A., Spunde, A., Pillay, M., Palaniappan, K., Varghese, N., Mikhailova, N., Chen, I-M., Stamatis, D., Reddy, T. B. K., O'Malley, R., Daum, C., Shapiro, N., Ivanova, N., Kyrpides, N. C., Woyke, T. , Glavina del Rio, T., DeAngelis, K. 2019. Complete Genome Sequence of Serratia quinivorans Strain 124R, a Facultative Anaerobe Isolated on Organosolv Lignin as a Sole Carbon Source. Microbiology Resource Announcements 8: e00409-19, 3 pp.
• Chen, B., Wang, P., Wang, S. Q., Ju, W., Liu, Z., Zhang, Y. 2023. Simulating canopy carbonyl sulfide uptake of two forest stands through an improved ecosystem model and parameter optimization using an ensemble Kalman filter. Ecological Modelling 475: 110212.
• 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.
• Chen, M., Melaas, E., Gray, J. M., Friedl, M. A., Richardson, A. D. 2016. A new seasonal-deciduous spring phenology submodel in the Community Land Model 4.5: impacts on carbon and water cycling under future climate scenarios. Global Change Biology 22: 3675–3688.
• Chen, M., Zhung, Q., Cook, D. R., Coulter, R., Pekour, M., Scott, R. L., Munger, J. W., Bible, K. 2011. Quantification of terrestrial ecosystem carbon dynamics in the conterminous United States combining a process-based biogeochemical model and MODIS and AmeriFlux data. Biogeosciences 8: 2665-2688.
• 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. Harvard Forest Schoolyard Science Program, Harvard Forest, Harvard University, Petersham, MA.
• 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.
• Dakos, V., Carpenter, S. R., Brock, W. A., Ellison, A. M., Guttal, V., Ives, A. R., Kefi, S., Livina, V., Seekell, D. A., van Nes, E. H., Scheffer, M. 2012. Methods for detecting early warnings of critical transitions in time series illustrated using simulated ecological data. PLoS ONE 7: e41010.
• Daru, B. H., Park, D. S., Primack, R. B., Willis, C. G., Barrington, D. S., Whitfeld, T. J. S., Seidler, R. G., Sweeney, P. W., Foster, D. R., Ellison, A. M., Davis, C. C. 2017. Widespread sampling biases in herbaria revealed from large-scale digitization. New Phytologist 217: 939-955.
• Davis, C. C., Champ, J., Park, D. S., Breckheimer, I., Lyra, G. M., Xie, J., Joly, A., Tarapore, D., Ellison, A. M., Bonnet, Pierre 2020. A New Method for Counting Reproductive Structures in Digitized Herbarium Specimens Using Mask R-CNN. Frontiers in Plant Science 11: article 1129, 13 pp.
• Dietze, M. C., Vargas, R., Richardson, A. D., Stoy, P. C., Barr, A. G., Anderson, R. S., Arain, M. A., Baker, I. T., Black, T. A., Chen, J. M., Ciais, P., Flanagan, L. B., Gough, C. M., Grant, R. F., Hollinger, D. Y., Izaurralde, R. C., Kucharick, C. J., Lafeur, P., Liu, S., Lokupitiya, E., Luo, Y., Munger, J. W., Peng, C., Poulter, B., Price, D. T. 2011. Characterizing the performance of ecosystem models across time scales: A spectral analysis of the North American Carbon Program site-level synthesis. Journal of Geophysical Research 116: G04029.
• 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.
• Domeignoz-Horta, L. A., DeAngelis, K. M., Pold, G. 2019. Draft Genome Sequence of Acidobacteria Group 1 Acidipila sp. Strain EB88, Isolated from Forest Soil. Microbiology Resource Announcements 8: e01464-18, 2 pp.
• Dorazio, R. M., Gotelli, N. J., Ellison, A. M. 2011. Modern methods of estimating biodiversity from presence-absence surveys. In: Venora, G., Grillo, O., Lopez-Pujol, J., Biodiversity loss in a changing planet, InTech - Open Access Publisher, Croatia.
• Duncanson, L., Kellner, J. R., Armston, J., Dubayah, R., Minor, D. M., Hancock, S., Healey, S. P., Patterson, P. L., Saarela, S., Marselis, S., Silva, C. E., Bruening, J., Goetz, S. J., Tang, H., Hofton, M., Blair, B., Luthcke, S., Fatoyinbo, L., Abernethy, K., Alonso, A., Andersen, H., Aplin, P., Baker, T. R., Barbier, N., Bastin, J. F., Biber, P., Boeckx, P., Bogaert, J., Boschetti, L., Boucher, P. B., Boyd, D. S., Burslem, D. F. R. P., Calvo-Rodriguez, S., Chave, J., Chazdon, R. L., Clark, D. B., Clark, D. A., Cohen, W. B., Coomes, D. A., Corona, P., Cushman, K. C., Cutler, M. E. J., Dalling, J.W., Dalponte, M., Dash, J., de-Miguel, S., Deng, S., Ellis, P. W., Erasmus, B., Fekety, P. A., Fernandez-Landa, A., Ferraz, A., Fischer, R., Fisher, A. G., García-Abril, A., Gobakken, T., Hacker, J. M., Heurich, M., Hill, R. A., Hopkinson, C. S., Huang, H., Hubbell, S. P., Hudak, A. T., Huth, A., Imbach, B., Jeffery, K. J., Katoh, M., Kearsley, E., Kenfack, D., Kljun, N., Knapp, N., Král, K., Krůček, M., Labrière, N., Lewis, S. L., Longo, M., Lucas, Ri. M., Main, R., Manzanera, J. A., Martínez, R. V., Mathieu, R., Memiaghe, H., Meyer, V., Mendoza, A. M., Monerris, A., Montesano, P., Morsdorf, F., Næsset, E., Naidoo, L., Nilus, R., O’Brien, M. J., Orwig, D. A., Papathanassiou, K., Parker, G., Philipson, C., Phillips, O. L., Pisek, J., Poulsen, J. R., Pretzsch, H., Rüdiger, C., Saatchi, S., Sanchez-Azofeifa, A., Sanchez-Lopez, N., Scholes, R., Silva, C. A., Simard, M., Skidmore, A., Stereńczak, K., Tanase, M., Torresan, C., Valbuena, R., Verbeeck, H., Vrska, T., Wessels, K., White, J. C., White, L. J. T., Zahabu, E., Zgraggen, C. 2022. Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment 270: 112845.
• Duveneck, M. J., Thompson, J. R., Gustafson, E. J., Liang, Y., de Bruijn, A. M. G. 2017. Recovery dynamics and climate change effects to future New England forests. Landscape Ecology 32: 1385-1397.
• Duveneck, M. J., Thompson, J. R., Wilson, B. T. 2015. An imputed forest composition map for New England screened by species range boundaries. Forest Ecology and Management 347: 107-115.
• Duveneck, M., Thompson, J. R. 2017. Climate change imposes phenological trade-offs on forest net primary productivity. Journal of Geophysical Research: Biogeosciences 122: 2298-2313.
• Duveneck, M., Thompson, J. R. 2019. Social and biophysical determinants of future forest conditions in New England: Effects of a modern land-use regime. Global Environmental Change 55: 115-129.
• Ellison, A. M. 2004. Bayesian inference in ecology. 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. 2010. Repeatability and transparency in ecological research. Ecology 91: 2536-2539.
• Ellison, A. M. 2017. Best practices for creating replicable research. In: Shavit, A., Ellison, A. M., Stepping in the Same River Twice: Replication in Biological Research, Yale University Press, New Haven.
• Ellison, A. M. 2017. Contingent repeatability of experiments in time and space. In: Shavit, A., Ellison, A. M., Stepping in the Same River Twice: Replication in Biological Research, Yale University Press, New Haven.
• Ellison, A. M. 2018. A Sense of Scale. Bulletin of the Ecological Society of America 9: 173-199.
• 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., Boose, E. R., Lerner, B. S., Fong, E., Seltzer, M. 2020. The End-to-End Provenance Project. Patterns 1: article 100016, 4 pp.
• Ellison, A. M., Dennis, B. 2010. Paths to statistical fluency for ecologists. Frontiers in Ecology and the Environment 8: 362-370.
• Ellison, A. M., Gotelli, N. J. 2021. Scaling in Ecology with a Model System. Princeton University Press, Princeton, NJ.
• Ellison, A. M., Gotelli, N. J., Hsiang, N., Lavine, M., Maidman, A. B. 2014. Kernel Intensity Estimation of 2-Dimensional Spatial Poisson Point Processes From k-Tree Sampling. Journal of Agricultural, Biological, and Environmental Statistics 19: 357-372.
• Ellison, A. M., Gotelli, N. J., Inouye, B. D., Strong, D. R. 2014. P values, hypothesis testing, and model selection: it’s déjà vu all over again. Ecology 95: 609-610.
• 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.
• Eshel, G., Dayalu, A., Wofsy, S. C., Munger, J. W., Tziperman, E. 2019. Listening to the Forest: An Artificial Neural Network-Based Model of Carbon Uptake at Harvard Forest. Journal of Geophysical Research: Biosciences 124: 461-478.
• Fang, J., Shugart, H. H., Liu, F., Yan, X., Song, Y., Lv, F. 2022. FORCCHN V2.0: an individual-based model for predicting multiscale forest carbon dynamics. Geoscience Model Development 15: 6863-6872.
• Feinberg, A., Dlamini, T., Jiskra, M., Shah, V., Selin, N. E. 2022. Evaluating atmospheric mercury (Hg) uptake by vegetation in a chemistry-transport model. Environmental Science: Processes & Impacts 24: 1303-1318.
• 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.
• Filippa, G., Cremonese, E., Migliavacca, M., Galvagno, M., Sonnentag, O., Humphreys, E., Hufkens, K., Ryu, Y., Verfaillie, J., Morra di Cella, U., Richardson, A. D. 2018. NDVI derived from near-infrared-enabled digital cameras: Applicability across different plant functional types. Agricultural And Forest Meteorology 249: 275-285.
• 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., Gotelli, N. J., Ellison, A. M. 2013. MaxEnt vs. MaxLike: Empirical comparisons with ant species distributions. Ecosphere 4: 1-15.
• Fitzpatrick, M. C., Preisser, E. L., Porter, A., Elkinton, J. S., Ellison, A. M. 2012. Modeling range dynamics in heterogeneous landscapes: invasion of the hemlock woolly adelgid in eastern North America. Ecological Applications 22: 472-486.
• Fitzpatrick, M. C., Pressier, E. L., Porter, A., Elkinton, J., Waller, L. A., Carlin, B. P., Ellison, A. M. 2010. Ecological boundary detection using Bayesian areal wombling. Ecology 91: 3448-3455.
• 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 No. 12 12: LTER.1992-9647.
• 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.
• Friedl, M. A., Gray, J. M., Melaas, E. K., Richardson, A. D., Hufkens, K., Keenan, T. F., Bailey, A., O'Keefe, J. 2014. A tale of two springs: Using recent climate anomalies to characterize the sensitivity of temperate forest phenology to climate change. Environmental Research Letters 9: 054006.
• Friend, A. D., Eckes-Shephard, A. H., Fonti, P., Rademacher, T. T., Rathgeber, C. B. K., Richardson, A. D., Turton, R. H. 2019. On the need to consider wood formation processes in global vegetation models and a suggested approach. Annals of Forest Science 76: article 49, 13 pp.
• Gonzalez-Akre, E., Piponiot, C., Lepore, M., Herrmann, V., Lutz, J. A., Baltzer, J. L., Dick, C.r W., Gilbert, G. S., He, F., Heym, M., Huerta, A. I., Jansen, P. A., Johnson, D. J., Knapp, N., Kral, K., Lin, D., Malhi, Y., McMahon, S. M., Myers, J. A., Orwig, D. A., Rodríguez-Hernandez, D. I., Russo, S. E., Shue, J., Wang, X., Wolf, A., Yang, T., Davies, S. J., Anderson-Teixeira, K. J. 2022. allodb: An R package for biomass estimation at globally distributed extratropical forest plots. Methods in Ecology and Evolution 132: 330-338.
• 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., Dorazio, R. M., Ellison, A. M., Grossman, G. D. 2010. Detecting temporal trends in species assemblages with bootstrapping procedures and hierarchical models. Philosophical Transactions of the Royal Society B: Biological Sciences Series B: 3621-3631.
• 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. PLoS Biology 14: e324.
• Gotelli, N. J., Ellison, A. M. 2006. Forecasting extinction risk with non-stationary matrix models. Ecological Applications 16: 51-61.
• Gotelli, N. J., Ellison, A. M., Ballif, B. A. 2012. Environmental proteomics, biodiversity statistics and food web structure. Trends in Ecology and Evolution 27: 436-442.
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