This research aimed to identify the most appropriate model for predicting forest biomass in the oak-dominated ecosystems within the Xanthi region, using established models as benchmarks. Besides the relevance of a model to another study region and focal species, the structure of the studied forest plays a crucial role in biomass estimation. Our study area is characterized by young stands with a majority of smaller diameter trees, indicating high net primary productivity (NPP). Such characteristics necessitate the application of a BEF closer to the higher end of its range, which is suitable for young, actively growing stands (Penman et al., 2003). A comparison of allometric models, therefore, favors the use of the model proposed by Manolis et al. (2016).

Consistent with the tiered approach for model selection advocated by the IPCC, our analysis underscores the necessity of matching allometric models to the forest's structural attributes to ensure accurate biomass estimates. The suitability of the model of Manolis et al. (2016) for young stands implies that our study area possesses considerable potential for future biomass yield and carbon sequestration. This has significant implications for sustainable forest management, wherein accurate biomass estimates are crucial for formulating strategies that enhance the carbon storage potential of forests and contribute to climate change mitigation.

We are grateful to the ForOaks Project for providing us financial support to accomplish this study. We are thankful to the XFS for providing us the necessary management plans and field data necessary for this study.

Banko Janakari, Vol 34 No. 2, 2024 Pp 48‒60