Forest harvest index: Accounting for global gross forest cover loss of wood production and an application of trade analysis

摘要: Abstract Forest cover loss is a major cause of both the decline in global biodiversity and increase carbon emissions into atmosphere. Focusing on effects logging, this study introduces an index wood production, forest harvest (FHI), which calculates expected gross (GFCL) reflecting demand for timber products at scale. We examined accuracy precision by investigating relationship between FHI actual GFCL measured through remote sensing. The incorporates wood- climate-specific biomass expansion factors country-specific growing stock densities to convert production volume GFCL. quantitatively effect data uncertainty density values obtain from FRA 2010 predicted quantified industrial roundwood fuel during 5-year period (FY2000–FY2004) each 139 nations considered. Results demonstrated that (18.6 million ha  yr − 1 ) corresponds well (19.3 same period. analysis suggested increasing frequency monitoring national level can improve FHI, but discrepancies were also identified. Furthermore, demonstrate utility our as metric virtual products, we disaggregated export, import domestic based trade compared strength with Export had strong positive GFCL, far exceeded compensating indicating overall increased