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. 2023 Jan 27;57(5):2149–2161. doi: 10.1021/acs.est.2c07867

Table 2. Classification of Forest and Other Lignocellulosic Biomass Management Practices in GLOBIOM (Left Column) and the Corresponding Classification for the Response Ratios (RR) Available in the Model for the Extinction Risk Assessment (Right Column). The Symbols in Front of the Categories Distinguish between (i) Land Use Types in GLOBIOM Global Module (•) and EU-Deman-Module (◊) (Left Column) and (ii) Different Data Sources (†34,35, °56, (57,58)) (Right Column). A Double Symbol (•◊) Means That the Classification Applies to Both the Global and EU-Demand-Module.

GLOBIOM land use categories response ratios34,35,56
•◊ lignocellulosic energy crops already used for energy production—internal EU28 † permanent crops
◊ lignocellulosic energy crops converted from other land use types—internal EU28
   
◊ clear-cut—internal EU28 and imported into the EU28 through trade ° clear-cut
   
◊ retention system—internal EU28 ° retention
   
◊ plantations for energywood already used for energy production—imported into the EU28 through trade ° timber plantation and plantation for pulpwood and fuelwood
◊ timber plantation and plantation for pulpwood—imported into the EU28 through trade
◊ plantations for energywood converted from other land use types—imported into the EU28 through trade
   
◊ selection system—internal EU28 and imported into the EU28 through trade ° selection system (temperate and boreal)
   
◊ reduced impact logging or RIL—imported into the EU28 through trade ° reduced impact logging or RIL (tropical)
   
• low-intensity managed forest ° merging of selective logging, selection system and retention
   
• high-intensity managed forest ° merging of clear-cut, timber plantations, nontimber plantations, and plantations for fuelwood and pulp
   
• forest regrowth secondary forest
the response ratios for this category were obtained by combining the results of a meta-analysis on biodiversity response in secondary forests57 and the modeling framework applied therein with the model defined in a more recent study on recovery trajectories58 (see S6 for details).