Greenhouse gas emissions estimation is a relatively new field in science. It relies heavily on emissions factors to make estimations. While emissions factors work relatively well for industrial process emissions, for estimation of emissions in the land sector, they are more limited in their utility, due to the complexity of biological systems and the uneven growth of biomass. This can lead to large areas of uncertainty in emissions from the land sector, and forest specifically.
In contrast to GHG emissions estimation, forest growth and yield modelling, especially for the estimation of merchantable timber volumes, has a long and robust history. In this article we make the argument for increased interaction between practitioners of growth and yield modelling, and practitioners of GHG estimation, could result in much more robust and defensible estimates of GHG emissions in the land sector, and significantly decrease uncertainty. Likewise, integrating climate change metrics into traditional growth and yield modelling, may also create opportunities for further collaboration, especially when quantifying ecosystem goods and services. This article highlights the potential synergies that the two groups of practitioners may have.