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The relevance of using in situ carbon and nitrogen data and satellite images to assess aboveground carbon and nitrogen stocks for supporting national REDD + programmes in Africa

To reduce the uncertainty in estimates of carbon emissions resulting from deforestation and forest degradation, better information on the carbon density per land use/land cover (LULC) class and in situ carbon and nitrogen data is needed. This allows a better representation of the spatial distributio...

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Bibliographic Details
Main Authors: Chabi, Adéyèmi (Author) , Lautenbach, Sven (Author)
Format: Article (Journal)
Language:English
Published: 10 September 2019
In: Carbon balance and management
Year: 2019, Volume: 14, Pages: 12
ISSN:1750-0680
DOI:10.1186/s13021-019-0127-7
Online Access:Verlag, Volltext: https://doi.org/10.1186/s13021-019-0127-7
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Author Notes:Adéyèmi Chabi, Sven Lautenbach, Jérôme Ebagnerin Tondoh, Vincent Oladokoun Agnila Orekan, Stephen Adu-Bredu, Nicholas Kyei-Baffour, Vincent Joseph Mama and John Fonweban
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Summary:To reduce the uncertainty in estimates of carbon emissions resulting from deforestation and forest degradation, better information on the carbon density per land use/land cover (LULC) class and in situ carbon and nitrogen data is needed. This allows a better representation of the spatial distribution of carbon and nitrogen stocks across LULC. The aim of this study was to emphasize the relevance of using in situ carbon and nitrogen content of the main tree species of the site when quantifying the aboveground carbon and nitrogen stocks in the context of carbon accounting. This paper contributes to that, by combining satellite images with in situ carbon and nitrogen content in dry matter of stem woods together with locally derived and published allometric models to estimate aboveground carbon and nitrogen stocks at the Dassari Basin in the Sudan Savannah zone in the Republic of Benin.
Item Description:Gesehen am 30.10.2019
Physical Description:Online Resource
ISSN:1750-0680
DOI:10.1186/s13021-019-0127-7

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