Citation: Yang, Sheng-I; Brandeis, Thomas J.; Helmer, Eileen H.; Oatham, Michael P.; Heartsill-Scalley, Tamara; Marcano-Vega, Humfredo. 2022. Characterizing height-diameter relationships for Caribbean trees using mixed-effects random forest algorithm. Forest Ecology and Management. 524(1): 120507-. https://doi.org/10.1016/j.foreco.2022.120507.
Keywords: Puerto Rico, U.S. Virgin Islands, Trinidad and Tobago, Tree allometry, Environmental variables, Machine learning
Posted Date: September 19, 2022
Modified Date: September 19, 2022
Print Publications Are No Longer Available
In an ongoing effort to be fiscally responsible, the Southern Research Station (SRS) will no longer produce and distribute hard copies of our publications. Many SRS publications are available at cost via the Government Printing Office (GPO). Electronic versions of publications may be downloaded, printed, and distributed.
This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
Our online publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact the SRS webmaster if you notice any errors which make this publication unusable.