Articles | Volume 13, issue 3
Earth Syst. Sci. Data, 13, 943–952, 2021
https://doi.org/10.5194/essd-13-943-2021
Earth Syst. Sci. Data, 13, 943–952, 2021
https://doi.org/10.5194/essd-13-943-2021

Data description paper 09 Mar 2021

Data description paper | 09 Mar 2021

The fortedata R package: open-science datasets from a manipulative experiment testing forest resilience

Jeff W. Atkins et al.

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Cited articles

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Amiro, B. D., Barr, A. G., Barr, J. G., Black, T. A., Bracho, R., Brown, M., Chen, J. M., Clark, K. L., Davis, K. J., Desai, A. R., Dore, S., Engel, V., Fuentes, J. D., Goldstein, A. H., Goulden, M. L., Kolb, T. E., Lavigne, M. B., Law, B. E., Margolis, H. A., Martin, T. A., McCaughey, J. H., Misson, L., Montes-Helu, M., Noormets, A., Randerson, J. T., Starr, and G. Xiao, J.: Ecosystem carbon dioxide fluxes after disturbance in forests of North America, J. Geophys. Res.-Biogeo., 115, G00K02, https://doi.org/10.1029/2010JG001390, 2010. 
Atkins, J. W., Bohrer, G., Fahey, R. T., Hardiman, B. S., Morin, T. H., Stovall, A. E., and Gough, C. M.: Quantifying vegetation and canopy structural complexity from terrestrial LiDAR data using the forestr r package, Methods Ecol. Evol., 9, 2057–2066, 2018.  
Atkins, J. W., Bond-Lamberty, B., Fahey, R. T., Hardiman, B. S., Haber, L., Stuart-Haëntjens, E., and Tallant, J.: Multidimensional Structural Characterization is Required to Detect and Differentiate Among Moderate Disturbance Agents, Ecosphere, 11, 1–19, https://doi.org/10.1002/ecs2.3156, 2020a. 
Atkins, J. W., Bond-Lamberty, B., Dorheim, K., Pennington, S., and Shiklomanov, A.: fortedata v1.0.2 (Version 1.0.2), Zenodo, https://doi.org/10.5281/zenodo.4399601, 2020b. 
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Short summary
The fortedata R package is an open data notebook from the Forest Resilience Threshold Experiment (FoRTE) – a modeling and manipulative field experiment that tests the effects of disturbance severity and disturbance type on carbon cycling dynamics in a temperate forest. The data included help to interpret how carbon cycling processes respond over time to disturbance.