Tropical forests face degradation due to conventional logging practices. Reduced Impact Logging (RIL) offers a sustainable alternative, aligning with UN SDG 15: Life on Land. This study developed a scalable RIL classification system to evaluate logging sustainability in tropical rainforests using ten parameters, and a structured field sheet with clear instructions was created to guide concession evaluations. The parameters were scored on an ordinal scale of 0 to 2, summing to a maximum of 20. A minimum threshold of 14 distinguishes RIL from Conventional Harvesting (CH), categorizing operations into six levels: Conventional Harvesting (<14), Beginning RIL (14), Level 1 RIL (15), Level 2 RIL (16), Level 3 RIL (17), or Complete RIL (18-20). Unlike binary compliance frameworks such as FAO standards, this system introduces graduated ordinal scoring, a six-level classification hierarchy, and a mobile application, advances absent across all prior frameworks including the carbon-focused RIL-C approach of Ellis et al. (2019) and the Grünberg et al. (2023) systematic review of logging sustainability criteria. A web application called RIL Scoring App was developed with React.js, ExpressJS, LocalStorage, and EmailJS, hosted at https://ril-scoring-app.netlify.app/. Field assessments in Cameroon’s Forest Management Units (FMUs 11-002, 11-005, 11-006), using nine operational parameters, yielded scores of 8-9/18, classifying all three as Conventional Harvesting. Statistical validity was confirmed through non-parametric tests showing no significant score differences across FMUs (Kruskal-Wallis: p=0.947; Friedman: p=0.717), and perfect Spearman correlation between FMU 11-002 and 11-006 (r=1.000) further validated scoring consistency. Critical gaps were identified in log suspension and logyard management, while logging map preparation and timber identification scored consistently high. Challenges including governance gaps and high training costs necessitate subsidised programs and policy reforms. By standardising RIL evaluation, this framework offers a scalable model to balance timber production with sustainable forest management.
목차
Abstract Introduction Materials and Methods Assessment of reduced impact logging (RIL) implementation Field observations of reduced impact logging (RIL) parameters Development of field tools and mobile application Validity of the RIL scoring system Scope and limitations Pilot study: South West Region, Cameroon Results Parameter-by-parameter analysis Descriptive statistics Validity of the scoring system Comparison with existing RIL assessment frameworks Discussion Conclusion Recommendations Expand testing in Cameroon Test in Southeast Asia and South America Enhance training Integrate technology Conduct comparative studies References Appendix
Kato Samuel Namuene [ Department of Forestry and Wildlife, Faculty of Agriculture and Veterinary Medicine, University of Buea, PMB 63 Buea, Cameroon ]
Corresponding Author
Egbe Enow Andrew [ Department of Agronomic and Applied Molecular Sciences, Faculty of Agriculture and Veterinary Medicine, University of Buea, PMB 63 Buea, Cameroon ]