This analysis evaluates GHG emissions and economic impacts of peatland reconversion strategies, indicating effective management practices.
This study evaluates the environmental and economic performance of alternative reconversion strategies for drained peatlands following industrial extraction, using a real case study from Latvia. In alignment with the EU Nature Restoration Law, three main restoration pathways were analysed (i.e., renaturalization, afforestation, and blueberry cultivation), each modelled through a 100-year Life Cycle Assessment (LCA) and Life Cycle Costing (LCC) framework. The LCA focused on greenhouse-gas (GHG) emissions, while the economic assessment included implementation costs, revenues, and the monetary value of ecosystem services. Results show that maintaining drained peatlands is the most unsustainable option (756.65 t CO₂ eq ha⁻¹). Renaturalization and blueberry cultivation reduce emissions by 225.49 t CO₂ eq ha⁻¹ and 258.45 t CO₂ eq ha⁻¹, respectively, whereas afforestation demonstrates the highest mitigation potential, achieving carbon neutrality after 67 years and a net GHG uptake of 310.09 t CO₂ eq ha⁻¹ by year 100. Integrating renewable-energy systems further enhances performance, with afforestation combined with solar or wind installations yielding additional avoided emissions exceeding 500 t CO₂ eq ha⁻¹. Economically, blueberry cultivation provides the largest direct revenues, while afforestation yields the highest carbon-credit value. However, when ecosystem services are monetized, renaturalization becomes the most beneficial strategy, reaching a cumulative value of € 31.2 million ha⁻¹. Overall, the study highlights that combining LCA and LCC provides robust decision support for sustainable peatland management, demonstrating that rewetting and afforestation can effectively balance climate-mitigation goals with socio-economic viability. Furthermore, the economic outcomes are strongly influenced by the ecosystem-service monetisation methodology used; the assumptions and limitations of this approach are now fully clarified in the Methods and discussed as a source of uncertainty. Given the limited availability of long-term field data, the analysis is based on deterministic scenarios without explicit uncertainty ranges, variability estimates, or sensitivity analyses. Likewise, N₂O fluxes could not be included due to the lack of robust, site-specific emission factors for restored peatlands.
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Romagnoli et al. (2026) studied this question.
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