Abstract
Considering in situ carbon storage in forest management has gained momentum under increasing pressure to decarbonize our economies. Here, we present results from case studies in Portugal and Germany showing the opportunity costs of in situ carbon storage derived by multiple-objective optimization. We used a stand-level model to optimize land expectation value under uncertainty as a reference, then derived opportunity costs by including the enhancement of the average carbon storage in aboveground biomass as a second objective. Using the optimal (compromise) solution when considering both objectives simultaneously, we show opportunity costs of EUR 119 (Portugal) and EUR 68 (Germany) per Mg CO2eq. These opportunity costs are higher than conservative, but lower than alternative cost estimates for future damages caused by current CO2 emissions. An important result was that suggested reference solutions in both countries (though only for low discount rates in Portugal) were mixed forests without clearfelling. In Germany, this implicitly elevated carbon storage. Such “closer-to-nature-forest-management” systems were also mostly suggested by the optimization tool when carbon storage was an objective.
Funder
European Union’s Horizon 2020 Program
Subject
Nature and Landscape Conservation,Ecology,Global and Planetary Change
Reference82 articles.
1. A review of trends and drivers of greenhouse gas emissions by sector from 1990 to 2018;Environ. Res. Lett.,2021
2. Evidence and implications of recent climate change in Northern Alaska and other arctic regions;Clim. Change,2005
3. IPCC (2018). Global Warming of 1.5 °C, World Meteorological Organization. An IPCC Special Report on the Impacts of Global Warming of 1.5 °C above Pre-industrial Levels and Related Global Greenhouse Gas Emission Pathways, in The Context of Strengthening the Global Response.
4. Achieving net-zero carbon emissions in construction supply chains—A multidimensional analysis of residential building systems;Dev. Built Environ.,2021
5. Managing forests for climate change mitigation;Science,2008