Greenhouse Gas Inventories, Volume 4. Agriculture, Forestry and Other Land Use and the WAC wood density database. The carbon conversion factor estimates the carbon component of the vegetation biomass. This can be derived for specific forest types, or the IPCC standard value of 0.47 can be used. The equation for estimating tree carbon mass per ha is: Total Carbon (ton/ha) = ([Tree Carbon]) / [Plot size in ha] Σ Separate calculations of volume will need to be made when estimating tree volume in because the plot size will differ between the main and subplot. Following completion of processing of raw data and estimation of carbon stocks per vegetation class, an ANOVA test should be applied to determine whether there are significant differences in the carbon estimates per class. This should be followed by a Scheffé pairwise multiple comparisons test to determine which groups are significantly different. The results can be placed into the table formats below. Summary of statistical analysis of carbon stock results per vegetation class Stems Average E Precision Plots Required Land cover Number per Biomass Carbon Stock Stdev (+/-10%) (+/-90% CL) to Estimate class of hectare tonne/ha tonne/ha unit unit unit Forest YRF Scrub Open Land Stand and Stock Table Stems per hectare by DBH class Carbon (tonnes per ha) by DBH class Total 50.0+ Total 50.0+ Land cover Number tonnes/ha class of Forest YRF Scrub Open Land Finalising the classification
Greenhouse Gas Inventories, Volume 4. Agriculture, Forestry and Other Land Use and the WAC wood density database. The carbon conversion factor estimates the carbon component of the vegetation biomass. This can be derived for specific forest types, or the IPCC standard value of 0.47 can be used. The equation for estimating tree carbon mass per ha is: Total Carbon (ton/ha) = Σ ([Tree Carbon]) / [Plot size in ha] Separate calculations of volume will need to be made when estimating tree volume in because the plot size will differ between the main and subplot. Following completion of processing of raw data and estimation of carbon stocks per vegetation class, an ANOVA test should be applied to determine whether there are significant differences in the carbon estimates per class. This should be followed by a Scheffé pairwise multiple comparisons test to determine which groups are significantly different. The results can be placed into the table formats below. Summary of statistical analysis of carbon stock results per vegetation class Land cover class Number of Stems per hectare Biomass Average Carbon Stock Stdev E (+/-10%) Precision (+/-90% CL) Plots Required to Estimate tonne/ha tonne/ha unit unit unit Forest YRF Scrub Open Land Stand and Stock Table Land cover class Number of Stems per hectare by DBH class Carbon (tonnes per ha) by DBH class Total 50.0+ Total 50.0+ tonnes/ha Forest YRF Scrub Open Land Finalising the classification
Chapter-4_Draft-HCSA-Toolkit_Sept2016.docx