Enteric methane emission estimates for Kenyan cattle in a nighttime enclosure using a backward Lagrangian Stochastic dispersion technique
This study provides methane (CH4) emission estimates for mature female African beef cattle in a semi-arid region in Southern Kenya using open-path laser spectroscopy together with a backward Lagrangian Stochastic (bLS) dispersion modeling technique. We deployed two open-path lasers to determine 10-m...
| Autores principales: | , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2022
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/129517 |
| _version_ | 1855532647611105280 |
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| author | Wolz, Kevin Leitner, Sonja Merbold, Lutz Wolf, Benjamin Mauder, Matthias |
| author_browse | Leitner, Sonja Mauder, Matthias Merbold, Lutz Wolf, Benjamin Wolz, Kevin |
| author_facet | Wolz, Kevin Leitner, Sonja Merbold, Lutz Wolf, Benjamin Mauder, Matthias |
| author_sort | Wolz, Kevin |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This study provides methane (CH4) emission estimates for mature female African beef cattle in a semi-arid region in Southern Kenya using open-path laser spectroscopy together with a backward Lagrangian Stochastic (bLS) dispersion modeling technique. We deployed two open-path lasers to determine 10-min averages of line-integrated CH 4 measurements upwind and downwind of fenced enclosures (so-called bomas: a location where the cattle are gathered at night) during 14 nights in September/October 2019. The measurements were filtered for wind direction deviations and friction velocity before the model was applied. We compared the obtained emission factors (EFs) with the Intergovernmental Panel on Climate Change (IPCC) Tier 1 estimates for the Sub-Saharan African (SSA) countries, which were mostly derived from studies carried out in developed countries and adapted to the conditions in Africa. The resulting EF of 75.4 ± 15.99 kg year −1 and the EFs calculated from other studies carried out in Africa indicate the need for the further development of region-specific EFs depending on animal breed, livestock systems, feed quantity, and composition to improve the IPCC Tier 1 estimates. |
| format | Journal Article |
| id | CGSpace129517 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1295172025-12-08T09:54:28Z Enteric methane emission estimates for Kenyan cattle in a nighttime enclosure using a backward Lagrangian Stochastic dispersion technique Wolz, Kevin Leitner, Sonja Merbold, Lutz Wolf, Benjamin Mauder, Matthias cattle emission methane methane emission dispersion This study provides methane (CH4) emission estimates for mature female African beef cattle in a semi-arid region in Southern Kenya using open-path laser spectroscopy together with a backward Lagrangian Stochastic (bLS) dispersion modeling technique. We deployed two open-path lasers to determine 10-min averages of line-integrated CH 4 measurements upwind and downwind of fenced enclosures (so-called bomas: a location where the cattle are gathered at night) during 14 nights in September/October 2019. The measurements were filtered for wind direction deviations and friction velocity before the model was applied. We compared the obtained emission factors (EFs) with the Intergovernmental Panel on Climate Change (IPCC) Tier 1 estimates for the Sub-Saharan African (SSA) countries, which were mostly derived from studies carried out in developed countries and adapted to the conditions in Africa. The resulting EF of 75.4 ± 15.99 kg year −1 and the EFs calculated from other studies carried out in Africa indicate the need for the further development of region-specific EFs depending on animal breed, livestock systems, feed quantity, and composition to improve the IPCC Tier 1 estimates. 2022-02 2023-03-10T14:37:35Z 2023-03-10T14:37:35Z Journal Article https://hdl.handle.net/10568/129517 en Open Access Springer Wolz, Kevin; Leitner, Sonja; Merbold, Lutz; Wolf, Benjamin; Mauder, Matthias. 2022. Enteric methane emission estimates for Kenyan cattle in a nighttime enclosure using a backward Lagrangian Stochastic dispersion technique. Theoretical and Applied Climatology 147: 1091-1103 |
| spellingShingle | cattle emission methane methane emission dispersion Wolz, Kevin Leitner, Sonja Merbold, Lutz Wolf, Benjamin Mauder, Matthias Enteric methane emission estimates for Kenyan cattle in a nighttime enclosure using a backward Lagrangian Stochastic dispersion technique |
| title | Enteric methane emission estimates for Kenyan cattle in a nighttime enclosure using a backward Lagrangian Stochastic dispersion technique |
| title_full | Enteric methane emission estimates for Kenyan cattle in a nighttime enclosure using a backward Lagrangian Stochastic dispersion technique |
| title_fullStr | Enteric methane emission estimates for Kenyan cattle in a nighttime enclosure using a backward Lagrangian Stochastic dispersion technique |
| title_full_unstemmed | Enteric methane emission estimates for Kenyan cattle in a nighttime enclosure using a backward Lagrangian Stochastic dispersion technique |
| title_short | Enteric methane emission estimates for Kenyan cattle in a nighttime enclosure using a backward Lagrangian Stochastic dispersion technique |
| title_sort | enteric methane emission estimates for kenyan cattle in a nighttime enclosure using a backward lagrangian stochastic dispersion technique |
| topic | cattle emission methane methane emission dispersion |
| url | https://hdl.handle.net/10568/129517 |
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