Articles | Volume 17, issue 8
https://doi.org/10.5194/bg-17-2149-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-2149-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Soil greenhouse gas emissions under different land-use types in savanna ecosystems of Kenya
Sheila Wachiye
CORRESPONDING AUTHOR
Earth Change Observation Laboratory, Department of Geosciences and
Geography, University of Helsinki, Helsinki, Finland
Institute for Atmosphere and Earth System Research, University of Helsinki, Helsinki,
Finland
School of Natural Resource and Environmental Management, University of
Kabianga, Kericho, Kenya
Lutz Merbold
Mazingira Centre, International Livestock Research Institute (ILRI),
Nairobi, Kenya
Timo Vesala
Institute for Atmosphere and Earth System Research, University of Helsinki, Helsinki,
Finland
Janne Rinne
Department of Physical Geography and Ecosystem Science, Lund University, Lund,
Sweden
Matti Räsänen
Institute for Atmosphere and Earth System Research, University of Helsinki, Helsinki,
Finland
Sonja Leitner
Mazingira Centre, International Livestock Research Institute (ILRI),
Nairobi, Kenya
Petri Pellikka
Earth Change Observation Laboratory, Department of Geosciences and
Geography, University of Helsinki, Helsinki, Finland
Institute for Atmosphere and Earth System Research, University of Helsinki, Helsinki,
Finland
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Latest update: 13 Dec 2024
Short summary
Limited data on emissions in Africa translate into uncertainty during GHG budgeting. We studied annual CO2, N2O, and CH4 emissions in four land-use types in Kenyan savanna using static chambers and gas chromatography. CO2 emissions varied between seasons and land-use types. Soil moisture and vegetation explained the seasonal variation, while soil temperature was insignificant. N2O and CH4 emissions did not vary at all sites. Our results are useful in climate change mitigation interventions.
Limited data on emissions in Africa translate into uncertainty during GHG budgeting. We studied...
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