Allometric Equations for Estimating Above-Ground Biomass Carbon sequestration in Five Tree Species grown in an Intercropping Agroforestry System in Southern Ontario, Canada

This data set includes characteristics of approximately 66 trees that were harvested and weighted. Tree species are: Red Oak (Quercus rubra) [n=12], Black Walnut (Juglans nigra) [n=16], Black Locust (Robinia pseudoacacia) [n=10], White Ash (Fraxinus americana) [n=15], Norway Spruce (Picea abies) [n=13]. From this data allometric equations were developed for estimating above-ground biomass carbon (AGBC) sequestration in five tree species grown in a tree-based intercropping system at the University of Guelph Agroforestry Research Station (GARS), Guelph, Ontario, Canada. A total of 66 representative trees from five above species were selected, harvested and their aboveground biomass and C content were quantified. Three commonly used allometric models were used to develop predictive equations. Regression models were developed and parameterized for each tree species and the best are presented based on information criteria (AIC, AICc, and BIC), mean absolute percentage error (MAPE), over/under estimation (MOUE), root mean square error (RMSE), R2, and regression coefficients (a, b) of the observed/predicted (OP) linear regression analysis.