Project results
Electronic library on Community-based Monitoring
The project compiled an electronic library of resources on forest-focused CBM for the use by researchers and practitioners. It includes:- An overview slide show on a review of Community-based forest monitoring;
- A compendium of apps currently in use for CBM organised in a clickable doc;
- Scientific literature on the topic, manuals, other guidance for governments, NGOs and other stakeholders seeking to set up CBM projects.
Publications
2021
Málaga, N., Hergoualc’h, K., Kapp, G., Matrius, C.: Variation in Vegetation and Ecosystem Carbon Stock Due to the Conversion of Disturbed Forest to Oil Palm Plantation in Peruvian Amazonia. Ecosystems 24, 351–369 (2021). https://doi.org/10.1007/s10021-020-00521-8
2022
Rozendaal, D. M. A. et al.: Aboveground forest biomass varies across continents, ecological zones and successional stages: refined IPCC default values for tropical and subtropical forests. Environ. Res. Lett. 17 014047 (2022) https://iopscience.iop.org/article/10.1088/1748-9326/ac45b3/meta
Araza, A. et al.: A comprehensive framework for assessing the accuracy and uncertainty of global above-ground biomass maps. Remote Sensing of Environment, 272, p.112917 (2022). https://doi.org/10.1016/j.rse.2022.112917
Nesha, K. et al.: Exploring characteristics of national forest inventories for integration with global space-based forest biomass data. Science of the Total Environment, 850, p.157788 (2022). https://doi.org/10.1016/j.scitotenv.2022.157788
Cappello, C. et al.: Alert-Driven Community-Based Forest Monitoring: A Case of the Peruvian Amazon. Remote Sensing 14, 4284 (2022). https://doi.org/10.3390/rs14174284
Dontenville, A., Sembres, T., Fountain, A.C.: The VOICE Network: Transparency and accountability. Towards building trust in the cocoa sector’s sustainability efforts. Published by the Cocoa Barometer Consortium. Administered by the VOICE Network. (2022). https://voicenetwork.cc/wp-content/uploads/2022/10/221017-Transparency-Accountability.pdf
Masolele, R. N. et al.: Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia. GIScience & Remote Sensing, 59(1), 1446–1472 (2022). https://doi.org/10.1080/15481603.2022.2115619
2024
Masolele, R. N. et al.: Mapping the diversity of land uses following deforestation across Africa. Scientific Reports 14, 1681 (2024) https://doi.org/10.1038/s41598-024-52138-9
Kalman, R.B. et al.: Making conservation incentives work for Indigenous Peoples and local communities - Insights and recommendations from Peru. CIFOR-ICRAF Infobrief, No. 406 (2024) https://www.cifor-icraf.org/publications/pdf_files/infobrief/9136-Infobrief.pdf
Kalman, R.B. et al.: Cómo hacer que los incentivos para la conservación funcionen para los Pueblos Indígenas y las comunidades locales: Perspectivas y recomendaciones desde el Perú. CIFOR-ICRAF Infobrief, No. 414 (2024) https://www.cifor-icraf.org/knowledge/publication/9233/
Böttcher, H., Benndorf, A., Urrutia, C.: Transparent monitoring in practice: Supporting post-Paris land use sector mitigation. Poster at the IPCC Expert Meeting on Reconciling anthropogenic land use emissions. 9-11 July 2024 - European Commission, Joint Research Centre - Ispra Italy. Link to poster.