Prediction of Exotic Hardwood Carbon for Use in the New Zealand Emissions Trading Scheme
New Zealand’s Emissions Trading Scheme (ETS) enables growers to earn payments by accumulating carbon units as their forests increase in carbon stock. For forests of less than 100 hectares, growers use predefined lookup tables (LUTs) to estimate carbon stock changes based on forest age. Using a combination of growth models and productivity surfaces, underpinned by data from 1360 growth plots, the objective of this study was to provide draft updates for the Exotic Hardwoods LUTs. The updated LUTs were based on growth rates of three Eucalyptus species, E. fastigata, E. regnans, and E. nitens, which comprise a major proportion of the Exotic Hardwoods forest type in New Zealand. Carbon tables were first derived for each species. Then, a draft LUT was generated for New Zealand’s North Island, using a weighted average of the species-specific tables based on the relative importance of the species, while the E. nitens table was used for the South Island where this is the predominant Eucalyptus species. Carbon stock predictions at ages 30 and 50 years were 820 and 1340 tonnes CO2 ha−1 for the North Island, and slightly higher at 958 and 1609 tonnes CO2 ha−1 for the South Island. Regional variation was significant, with the highest predicted carbon in Southland (1691 tonnes CO2 ha−1 at age 50) and lowest in Hawke’s Bay/Southern North Island (1292 tonnes CO2 ha−1). Predictions closely matched the current Exotic Hardwood LUT to age 20 years but exceeded it by up to 45% at age 35. Growth and carbon sequestration rates were similar to other established Eucalyptus species and slightly higher than Acacia species, though further research is recommended. These findings suggest that the three Eucalyptus species studied here could serve as the default species for a revised Exotic Hardwoods LUT and that the current national tables could be regionalised. However, the government may consider factors other than the technical considerations outlined here when updating the LUTs.
Authors
- Benjamin S.C. Steer (ORCID: https://orcid.org/0000-0001-8242-8358)
- Mark O. Kimberley (ORCID: https://orcid.org/0000-0003-2890-0871)
- Micah N. Scholer (ORCID: https://orcid.org/0000-0001-5495-3649)
- Michael S. Watt (ORCID: https://orcid.org/0000-0001-6752-9134)
Institutions
- Statistics New Zealand (NZ)
- Scion (NZ)
- Ministry for Primary Industries (NZ)
- Université Bourgogne Franche-Comté (FR)
Publication Details
- Journal
- Forests
- Published
- 2025-06-27
- DOI
- https://doi.org/10.3390/f16071070
- Primary Topic
- Forest ecology and management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry for Primary Industries