A5059980990- Remote Sensing and LiDAR Applications
- Ecology and Vegetation Dynamics Studies
- Forest ecology and management
- Remote Sensing in Agriculture
- African Botany and Ecology Studies
- Agriculture and Rural Development Research
- Plant and animal studies
- Wildlife Ecology and Conservation
- Conservation, Biodiversity, and Resource Management
- Plant Diversity and Evolution
- Fire effects on ecosystems
- Parasitic infections in humans and animals
- Rangeland Management and Livestock Ecology
- Forest Ecology and Biodiversity Studies
Université de Yaoundé I
2004-2024
Gembloux Agro-Bio Tech
2022-2024
University of Liège
2022-2024
Accurate mapping and monitoring of tropical forests aboveground biomass (AGB) is crucial to design effective carbon emission reduction strategies improving our understanding Earth's cycle. However, existing large-scale maps forest AGB generated through combinations Earth Observation (EO) inventory data show markedly divergent estimates, even after accounting for reported uncertainties. To address this, a network high-quality reference needed calibrate validate algorithms. This study aims...
Abstract. Accurately monitoring tropical forest carbon stocks is a challenge that remains outstanding. Allometric models consider tree diameter, height and wood density as predictors are currently used in most studies. In particular, pantropical biomass model has been widely for approximately decade, its recent version will certainly constitute reference the coming years. However, this shows systematic bias towards largest trees. Because large trees key drivers of dynamics, understanding...
Abstract Forest biomass is key in Earth carbon cycle and climate system, thus under intense scrutiny the context of international change mitigation initiatives (e.g. REDD+). In tropical forests, spatial distribution aboveground (AGB) remains, however, highly uncertain. There increasing recognition that progress strongly limited by lack field observations over large remote areas. Here, we introduce Congo basin Forests AGB (CoFor-AGB) dataset contains estimations associated uncertainty for...
Abstract. Accurately monitoring tropical forest carbon stocks is an outstanding challenge. Allometric models that consider tree diameter, height and wood density as predictors are currently used in most studies. In particular, a pantropical biomass model has been widely for approximately decade, its recent version will certainly constitute reference the coming years. However, this shows systematic bias largest trees. Because large trees key drivers of dynamics, understanding origin...
Abstract Regeneration of tropical forest occurs naturally and mainly through early secondary succession by soil seed banks. Here, we analyzed bank variation in density diversity along a degradation gradient. We also explored the relationship (similarity composition) between seedling banks overstory vegetation. The investigated forests were located at Dja Fauna Reserve its surroundings, south‐eastern Cameroon. sampled 33 one‐ha plots scattered protected area, logging concession community...
Forest expansion into savanna is a pervasive phenomenon in West and Central Africa, warranting comparative studies under diverse environmental conditions. We collected vegetation data from the woody grassy components within 73 plots of 0.16 ha distributed along successional gradient humid to forest Africa. associated spatially collocated edaphic parameters fire frequency derived remote sensing investigate their combined influence on vegetation. Soil texture was more influential shaping...
Abstract Aim Examining tree species–environment association can offer insight into the drivers of vegetation patterns and key information practical relevance to forest management. Here, we aim quantify contribution climate soil gradients variation in Central African species composition (abundance occurrence). Location Tropical rain forests southern eastern Cameroon. Methods We established 82 1‐ha permanent plots across seven localities censused all trees ≥10 cm diameter, representing a total...