National forest cover change in Congo Basin: deforestation, reforestation, degradation and regeneration for the years 1990, 2000 and 2005

• Published in: Global change biology Vol. 19; no. 4; pp. 1173 - 1187
• Main Authors: Ernst, Céline, Mayaux, Philippe, Verhegghen, Astrid, Bodart, Catherine, Christophe, Musampa, Defourny, Pierre
• Format: Journal Article
• Language: English
• Published: Oxford Blackwell Publishing Ltd 01-04-2013; Wiley-Blackwell
• Subjects: Agriculture; Animal and plant ecology; Animal, plant and microbial ecology; Biological and medical sciences; Congo Basin; Conservation of Natural Resources; Deforestation; Democratic Republic of the Congo; Forestry; Fundamental and applied biological sciences. Psychology; General aspects; General forest ecology; Generalities. Production, biomass. Quality of wood and forest products. General forest ecology; habitat monitoring; high spatial resolution; Land degradation; land-cover change; object-based image processing; Rainforests; REDD; Reforestation; Trees; tropical forest; Congo Basin; Africa; Democratic Republic of the Congo; Deforestation; high spatial resolution; High resolution; Image processing; land-cover change; object-based image processing; Environmental factor; Tropical forest; Afforestation; Land use; Breeding site; Degradation; Regeneration; Congo Basin; habitat monitoring; REDD; Greenhouse gas; Plant cover; Habitat
• ISSN: 1354-1013; 1365-2486
• DOI: 10.1111/gcb.12092

This research refers to an object‐based automatic method combined with a national expert validation to produce regional and national forest cover change statistics over Congo Basin. A total of 547 sampling sites systematically distributed over the whole humid forest domain are required to cover the six Central African countries containing tropical moist forest. High resolution imagery is used to accurately estimate not only deforestation and reforestation but also degradation and regeneration. The overall method consists of four steps: (i) image automatic preprocessing and preinterpretation, (ii) interpretation by national expert, (iii) statistic computation and (iv) accuracy assessment. The annual rate of net deforestation in Congo Basin is estimated to 0.09% between 1990 and 2000 and of net degradation to 0.05%. Between 2000 and 2005, this unique exercise estimates annual net deforestation to 0.17% and annual net degradation to 0.09%. An accuracy assessment reveals that 92.7% of tree cover (TC) classes agree with independent expert interpretation. In the discussion, we underline the direct causes and the drivers of deforestation. Population density, small‐scale agriculture, fuelwood collection and forest's accessibility are closely linked to deforestation, whereas timber extraction has no major impact on the reduction in the canopy cover. The analysis also shows the efficiency of protected areas to reduce deforestation. These results are expected to contribute to the discussion on the reduction in CO2 emissions from deforestation and forest degradation (REDD+) and serve as reference for the period.