Two large-scale forest scenario modelling approaches for reporting CO 2 removal: a comparison for the Romanian forests

Blujdea, Viorel N. B., Sikkema, Richard, Dutcă, Ioan and Nabuurs, Gert-Jan (2021) Two large-scale forest scenario modelling approaches for reporting CO 2 removal: a comparison for the Romanian forests. Carbon Balance and Management, 16 (1). pp. 1-17. ISSN 1750-0680

18420_Dutca_I.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB) | Preview


Background: Forest carbon models are recognized as suitable tools for the reporting and verification of forest carbon stock and stock change, as well as for evaluating the forest management options to enhance the carbon sink provided by sustainable forestry. However, given their increased complexity and data availability, different models may simulate different estimates. Here, we compare carbon estimates for Romanian forests as simulated by two models (CBM and EFISCEN) that are often used for evaluating the mitigation options given the forest-management choices. Results: The models, calibrated and parameterized with identical or harmonized data, derived from two successive national forest inventories, produced similar estimates of carbon accumulation in tree biomass. According to CBM simulations of carbon stocks in Romanian forests, by 2060, the merchantable standing stock volume will reach an average of 377 m3 ha−1, while the carbon stock in tree biomass will reach 76.5 tC ha−1. The EFISCEN simulations produced estimates that are about 5% and 10%, respectively, lower. In addition, 10% stronger biomass sink was simulated by CBM, whereby the difference reduced over time, amounting to only 3% toward 2060. Conclusions: This model comparison provided valuable insights on both the conceptual and modelling algorithms, as well as how the quality of the input data may affect calibration and projections of the stock and stock change in the living biomass pool. In our judgement, both models performed well, providing internally consistent results. Therefore, we underline the importance of the input data quality and the need for further data sampling and model improvements, while the preference for one model or the other should be based on the availability and suitability of the required data, on preferred output variables and ease of use.

Item Type: Article
Additional Information: ** From Springer Nature via Jisc Publications Router ** History: received 10-01-2021; accepted 10-08-2021; registration 11-08-2021; pub-electronic 21-08-2021; online 21-08-2021; collection 12-2021. ** Licence for this article:
Keywords: Research, CBM-CFS3, Data harmonization, EFISCEN, Forest sink, NFI, Romania, Forests available for wood supply
SWORD Depositor: JISC Router
Depositing User: JISC Router
Date Deposited: 27 Aug 2021 08:05
Last Modified: 11 Jul 2022 07:46

Actions (login required)

Edit Item Edit Item