Estimating and predicting bark thickness for seven conifer species in the Acadian Region of North America using a mixed-effects modeling approach: comparison of model forms and subsampling strategies.

MLA

Li, Rongxia, and Aaron Weiskittel. “Estimating and Predicting Bark Thickness for Seven Conifer Species in the Acadian Region of North America Using a Mixed-Effects Modeling Approach: Comparison of Model Forms and Subsampling Strategies.” European Journal of Forest Research, vol. 130, no. 2, Mar. 2011, pp. 219–33. EBSCOhost, https://doi.org/10.1007/s10342-010-0423-y.

APA

Li, R., & Weiskittel, A. (2011). Estimating and predicting bark thickness for seven conifer species in the Acadian Region of North America using a mixed-effects modeling approach: comparison of model forms and subsampling strategies. European Journal of Forest Research, 130(2), 219–233. https://doi.org/10.1007/s10342-010-0423-y

Chicago

Li, Rongxia, and Aaron Weiskittel. 2011. “Estimating and Predicting Bark Thickness for Seven Conifer Species in the Acadian Region of North America Using a Mixed-Effects Modeling Approach: Comparison of Model Forms and Subsampling Strategies.” European Journal of Forest Research 130 (2): 219–33. doi:10.1007/s10342-010-0423-y.