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Quantifying post logging biomass loss using satellite images and ground measurements in Southeast Cameroon

Authors :
Richard Sufo Kankeu
Denis J. Sonwa
Noelle Marlène Moankang Nkal
Richard Eba'a Atyi
Le Mans Université - Faculté des Lettres, Langues et Sciences Humaines (UM UFR LLSH)
Le Mans Université (UM)
Central Africa Regional Office
Center for International Forestry Research (CIFOR)
Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR)
Source :
Journal of Forestry Research, Journal of Forestry Research, Springer Verlag, 2016, 27 (6), pp.1415-1426. ⟨10.1007/s11676-016-0277-3⟩
Publication Year :
2016
Publisher :
Springer Science and Business Media LLC, 2016.

Abstract

Forest logging in the Congo Basin has led to forest fragmentation due to logging infrastructures and felling gaps. In the same vein, forest concessions in the Congo Basin have increasing interest in the REDD+ mechanism. However, there is little information or field data on carbon emissions from forest degradation caused by logging. To help fill this gap, Landsat 7 and 8 and SPOT 4 images of the East Region of Cameroon were processed and combined with field measurements (measurement of forest roads widths, felling gaps and log yards) to assess all disturbed areas. Also, measurements of different types of forest infrastructures helped to highlight emission factors. Forest contributes to 5.18 % of the degradation of the annual allowable cut (AAC) (84.53 ha) corresponding to 4.09 % of forest carbon stock (6.92 t ha−1). Felling gaps constitute the primary source of degradation, represented an estimated area of 32.41 ha (2 % of the cutting area) far ahead of primary roads (18.44 ha) and skid trails (16.36 ha). Assessment of the impact of degradation under the canopy requires the use of high resolution satellite images and field surveys.

Details

ISSN :
19930607 and 1007662X
Volume :
27
Database :
OpenAIRE
Journal :
Journal of Forestry Research
Accession number :
edsair.doi.dedup.....c90b2f2af1fad0d4234b0e801289a2de
Full Text :
https://doi.org/10.1007/s11676-016-0277-3