The relationship between the actual dry weight and species-specific equation output for suggests that the species-specific allometric equation is relatively accurate for Q. prinus predicting biomass thus allowing for precise determinations of carbon storage in forests. However, the general hardwood and BRF equation predictions appear to follow the data with a better fit, with higher R2 values. Additionally, the species-specific equation for is the Q. prinus only equation of the three for that is significantly different from the measured dry Q. prinus weights. On average, the Brenneman equation significantly overestimates the dry aboveground biomass which could potentially affect forest calculations of its carbon storage. This equation is accurate for trees below thirteen inches in diameter, however; it increases in error Q. prinus above thirteen inch diameters. This difference in accuracy based on diameter implies that the equation may be more accurate when determining biomass for smaller trees and a different equation may need to be utilized for trees above thirteen inches in diameter. Thus the Q. prinus species-specific equation may not be the most accurate equation to utilize for Q. prinus, particularly at larger diameters. However, more trees may need to be felled in order to see the exact diameter cut-off point. This result may suggest that the general hardwood equation may be more accurate than the specific equation, especially for larger trees. The BRF equation Q. prinus is more precise than the general hardwood equation. The explanation for this occurrence may be the fact that data which was used in the formation of the equation was gathered at BRF itself as opposed to another site. The consistent results from the allometry analysis of dry weight outputs compared to the predictions for suggest that the dry aboveground biomass of can be Q. rubra Q. rubra accurately predicted using the previously derived equations or the newly derived equation for BRF. The results also imply that biomass may be more accurately predicted using Q. rubra
The relationship between the actual dry weight and species-specific equation output for Q. prinus suggests that the species-specific allometric equation is relatively accurate for predicting biomass thus allowing for precise determinations of carbon storage in forests. However, the general hardwood and BRF equation predictions appear to follow the data with a better fit, with higher R2 values. Additionally, the species-specific equation for Q. prinus is the only equation of the three for Q. prinus that is significantly different from the measured dry weights. On average, the Brenneman equation significantly overestimates the dry aboveground biomass which could potentially affect forest calculations of its carbon storage. This equation is accurate for Q. prinus trees below thirteen inches in diameter, however; it increases in error above thirteen inch diameters. This difference in accuracy based on diameter implies that the equation may be more accurate when determining biomass for smaller trees and a different equation may need to be utilized for Q. prinus trees above thirteen inches in diameter. Thus the species-specific equation may not be the most accurate equation to utilize for Q. prinus, particularly at larger diameters. However, more trees may need to be felled in order to see the exact diameter cut-off point. This result may suggest that the general hardwood equation may be more accurate than the specific Q. prinus equation, especially for larger trees. The BRF equation is more precise than the general hardwood equation. The explanation for this occurrence may be the fact that data which was used in the formation of the equation was gathered at BRF itself as opposed to another site. The consistent results from the allometry analysis of dry weight outputs compared to the predictions for Q. rubra suggest that the dry aboveground biomass of Q. rubra can be accurately predicted using the previously derived equations or the newly derived equation for BRF. The results also imply that Q. rubra biomass may be more accurately predicted using
res_pub_madeline_hirshan_thesis_final.docx