Beef cattle methane emission estimation using the eddy covariance technique in combination with geolocation
| Autor: | Yves Beckers, Marc Aubinet, L. Gourlez de la Motte, Jérôme Bindelle, N. de Cock, Bernard Heinesch, Frédéric Lebeau, Pierre Dumortier, Andriamasinoro Andriamandroso |
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| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
Atmospheric Science Global and Planetary Change 010504 meteorology & atmospheric sciences Eddy covariance Forestry Sunset Beef cattle Atmospheric sciences 01 natural sciences Methane Footprint Geolocation chemistry.chemical_compound chemistry Grazing Environmental science Sunrise Agronomy and Crop Science 010606 plant biology & botany 0105 earth and related environmental sciences |
| Zdroj: | Agricultural and Forest Meteorology. 297:108249 |
| ISSN: | 0168-1923 |
| DOI: | 10.1016/j.agrformet.2020.108249 |
| Popis: | Methane emissions of a grazing herd of Belgian Blue cattle were estimated per individual on the field by combining eddy covariance measurements with geolocation of the cattle and a footprint model. This method allows the measurement of outdoor non-invasive methane emissions but is complex and subject to methodological issues. Estimated emissions were 220 ±35 g CH4 LU−1 day−1 (grams of methane per livestock unit per day), where the uncertainty corresponds to the random error and does not include any possible systematic error. Cattle behavior was also monitored and presented a clear daily pattern of activity with more intense grazing after sunrise and before sunset. However, no significant methane emission pattern could be associated with it, the diurnal emission variation being lower than the measurement precision. |
| Databáze: | OpenAIRE |
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