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

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

doi:10.1016/j.foreco.2022.120507

Treesearch

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

Formally Refereed

Authors:

Sheng-I Yang, Thomas Brandeis, Eileen 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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Download (PDF 2.33 MB): https://research.fs.usda.gov/download/treesearch/64989.pdf

Keywords

Puerto Rico, US 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.