Characterizing height-diameter relationships for Caribbean trees using mixed-effects random forest algorithm

Sheng-I Yang; Thomas J. Brandeis; Eileen H. Helmer; Michael P. Oatham; Tamara Heartsill-Scalley; Humfredo Marcano-Vega

doi:10.1016/j.foreco.2022.120507

Characterizing height-diameter relationships for Caribbean trees using mixed-effects random forest algorithm

Formally Refereed

Authors:	Sheng-I Yang, Thomas J. Brandeis, Eileen H. Helmer, Michael P. Oatham, Tamara Heartsill-Scalley, Humfredo Marcano-Vega
Year:	2022
Type:	Scientific Journal
Station:	Southern Research Station
DOI:	https://doi.org/10.1016/j.foreco.2022.120507
Source:	Forest Ecology and Management

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Keywords

Puerto Rico, U.S. Virgin Islands, Trinidad and Tobago, Tree allometry, Environmental variables, Machine learning

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.