Testing a generalized leaf mass estimation method for diverse tree species and climates of the continental United States.

ABSTRACT: Estimating tree leaf biomass can be challenging in applications where predictions for multiple tree species is required. This is especially evident where there is limited or no data available for some of the species of interest. Here we use an extensive national database of observations (61 species, 3628 trees) and formulate models of varying complexity, ranging from a simple model with diameter at breast height (DBH) as the only predictor to more complex models with up to 8 predictors (DBH, leaf longevity, live crown ratio, wood specific gravity, shade tolerance, mean annual temperature, and mean annual precipitation), to estimate tree leaf biomass for any species across the continental United States. The most complex with all eight predictors was the best and explained 74%-86% of the var

SUBMITTER: Dettmann GT 

PROVIDER: S-EPMC9787613 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature