2019
DOI: 10.1016/j.scitotenv.2018.07.397
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The impact of rain events on CO2 emissions from contrasting land use systems in semi-arid West African savannas

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Cited by 17 publications
(13 citation statements)
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“…The results show that by early May, ambient rainfall with moderate grazing had resulted in cumulative CO 2 emissions of about 16.3 tons ha −1 . These values are comparable to those reported in other parts of SSA (Kim et al, 2016;Berger et al, 2019). Kim et al (2016) reported emission rates of 3.3-57 tons CO 2 ha −1 year −1 in natural terrestrial systems of the SSA of which grasslands emitted an average of 15.5 ± 3.8 tons CO 2 ha −1 year −1 .…”
Section: Effect Of Drought and Grazing On Soil Carbon Storage And Co supporting
confidence: 85%
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“…The results show that by early May, ambient rainfall with moderate grazing had resulted in cumulative CO 2 emissions of about 16.3 tons ha −1 . These values are comparable to those reported in other parts of SSA (Kim et al, 2016;Berger et al, 2019). Kim et al (2016) reported emission rates of 3.3-57 tons CO 2 ha −1 year −1 in natural terrestrial systems of the SSA of which grasslands emitted an average of 15.5 ± 3.8 tons CO 2 ha −1 year −1 .…”
Section: Effect Of Drought and Grazing On Soil Carbon Storage And Co supporting
confidence: 85%
“…Due to the large size of soil carbon pools in dryland grasslands (Plaza et al, 2018) and due to the uncertainty of emission capacity of these ecosystems, it is critical to carry out precise quantifications of carbon stocks and emissions. This would not only help to obtain reliable global carbon budgets but to also develop mitigation options for low-emission through proper land use management practices (Berger et al, 2019). The quantification of grassland carbon (C) fluxes is also required to identify major control factors and to clarify whether specific grassland ecosystems sequester more atmospheric CO 2 through photosynthesis than they emit to the atmosphere through respiration (Lefèvre et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
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“…CC BY 4.0 License. (Delon et al, 2015;Hiernaux et al, 2009;Timouk et al, 2009;Baup et al, 2007;Tagesson et al, 2016;Boke-Olén et al, 2016;Velluet, 2014), 4 (Quansah et al, 2015;Berger et al, 2019) 305 https://doi.org/10.5194/gmd-2020-417 Preprint. Discussion started: 5 February 2021 c Author(s) 2021.…”
Section: Model Setup and Initializationmentioning
confidence: 99%
“…Main drivers causing variation in space are abiotic factors such as topoedaphic conditions or climate, and biotic factors such as grazing pressure (Guuroh et al, 2018;Oomen et al, 2016). Variation in time is generally caused by the vegetation's phenological development, by variable weather conditions, and by management decisions (Berger et al, 2019;Brüser et al, 2014). Here, rainfall is regarded as the most important driver of forage production (e.g.…”
Section: Introductionmentioning
confidence: 99%