Table 2 Variables included in the statistical analysis and their definition (observation unit: respondent).

From: Reconciling policy instruments with drivers of deforestation and forest degradation: cross-scale analysis of stakeholder perceptions in tropical countries

Variable

Definition/classification

Overall perceptions

 Alertness

Share (%) of total answers on drivers of deforestation with “strong” (4) or “very strong” (5) influence

 AlertnessCom

Share (%) of total answers on drivers of deforestation related to commercial economy with “strong” (4) or “very strong” (5) influence

 AlertnessSub

Share (%) of total answers on drivers of deforestation related to subsistence economy with “strong” (4) or “very strong” (5) influence

 Confidence

Share (%) of total answers on policy instruments with “strong” (4) or “very strong” (5) influence

Expected importance of drivers of deforestation and forest degradation (future 10 years)

 Agriculture

Expected importance (%) of drivers related to expansion of agriculture (includes commercial and subsistence, crops/pastures/agroforestry, shifting cultivation…)

 Logging

Expected importance (%) of drivers related to logging and extraction of timber and other forest resources involving tree cutting (both legal/illegal activities)

 Woodfuel

Expected importance (%) of drivers related to firewood/woodfuel collection and charcoal production

 Oilmining

Expected importance (%) of drivers related to oil and mining activities (e.g. exploration)

 Infrastructure

Expected importance (%) of drivers related to expansion of urban areas and infrastructure development (road construction, bridges…)

 Plantations

Expected importance (%) of drivers related to the expansion of timber plantations

 Naturaldisasters

Expected importance (%) of drivers related to natural disasters (e.g. drought, fires, flooding, landslides, earthquakes…)

 Otherdrivers

Expected importance (%) of other drivers mentioned by the participants (mostly underlying drivers, e.g. political and tenure conflicts, lack of education)

Expected effectiveness of policy instruments (future 10 years)

 Reforestation

Expected effectiveness (%) of policy instruments related to reforestation, regrowth of natural forest, passive/active forms of forest restoration or establishment of agroforestry areas

 Protectedareas

Expected effectiveness (%) of policy instruments related to protected areas restricting access or use of forest, including state reserves, indigenous or private forests

 AntiLogging

Expected effectiveness (%) of policy instruments related to measures against illegal logging, including different forms of banning, moratoriums, stronger controls (e.g. patrolling, rangers, regulating timber exports)

 Financialtools

Expected effectiveness (%) of policy instruments related to financial mechanisms, including certification, business-funded incentives or PESs (e.g. REDD +)

 Landuserights

Expected effectiveness (%) of policy instruments related to improved and secured land titling, decentralization, local participation, community-based and integrated forest management

 Otherpolicies

Expected effectiveness (%) of other policy instruments mentioned by the participants, e.g. improving education, sensitization, promoting alternative livelihood/energy sources, international involvement, better governance, less political interference