Greenhouse Gas Estimation for Colombia in 2020
The database includes the estimation of Greenhouse Gases for rice production, calculated for each producer. It compiles the input variables necessary for the calculations, the factors selected according to the IPCC methodology, and the resulting estimates in CO2 equivalent. The database also include...
| Autores principales: | , , , , |
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| Formato: | Conjunto de datos |
| Lenguaje: | Inglés |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/151891 |
| _version_ | 1855537900055166976 |
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| author | Andrade Lopez, Robert Santiago Esponda Bernal, Maria Del Mar Ibarra Medina, Lina Marcela Gonzalez Rojas, Maria Carolina Romero Sanchez, Miguel Antonio |
| author_browse | Andrade Lopez, Robert Santiago Esponda Bernal, Maria Del Mar Gonzalez Rojas, Maria Carolina Ibarra Medina, Lina Marcela Romero Sanchez, Miguel Antonio |
| author_facet | Andrade Lopez, Robert Santiago Esponda Bernal, Maria Del Mar Ibarra Medina, Lina Marcela Gonzalez Rojas, Maria Carolina Romero Sanchez, Miguel Antonio |
| author_sort | Andrade Lopez, Robert Santiago |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The database includes the estimation of Greenhouse Gases for rice production, calculated for each producer. It compiles the input variables necessary for the calculations, the factors selected according to the IPCC methodology, and the resulting estimates in CO2 equivalent. The database also includes a variable dictionary.
Methodology:We applied the most recent IPCC tier one methodology, taking into account emissions from methane (as detailed in the document "Cropland," chapter 5 of the 2019 Refinement to the IPCC Guidelines, IPCC, 2019a), as well as nitrous oxide and carbon dioxide (as detailed in Chapter 11 of the 2019 Refinement to the IPCC Guidelines, IPCC, 2019b). (2024-08) |
| format | Conjunto de datos |
| id | CGSpace151891 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| record_format | dspace |
| spelling | CGSpace1518912024-11-08T13:34:11Z Greenhouse Gas Estimation for Colombia in 2020 Andrade Lopez, Robert Santiago Esponda Bernal, Maria Del Mar Ibarra Medina, Lina Marcela Gonzalez Rojas, Maria Carolina Romero Sanchez, Miguel Antonio climate change mitigation mitigation calculation The database includes the estimation of Greenhouse Gases for rice production, calculated for each producer. It compiles the input variables necessary for the calculations, the factors selected according to the IPCC methodology, and the resulting estimates in CO2 equivalent. The database also includes a variable dictionary. Methodology:We applied the most recent IPCC tier one methodology, taking into account emissions from methane (as detailed in the document "Cropland," chapter 5 of the 2019 Refinement to the IPCC Guidelines, IPCC, 2019a), as well as nitrous oxide and carbon dioxide (as detailed in Chapter 11 of the 2019 Refinement to the IPCC Guidelines, IPCC, 2019b). (2024-08) 2024-08 2024-08-28T19:21:53Z 2024-08-28T19:21:53Z Dataset https://hdl.handle.net/10568/151891 en Open Access Andrade Lopez, R.S.; Esponda Bernal, M.D.M.; Ibarra Medina, L.M.; Gonzalez Rojas, M.C.; Romero Sanchez, M.A. (2024) Greenhouse Gas Estimation for Colombia in 2020. https://doi.org/10.7910/DVN/IGQQGB |
| spellingShingle | climate change mitigation mitigation calculation Andrade Lopez, Robert Santiago Esponda Bernal, Maria Del Mar Ibarra Medina, Lina Marcela Gonzalez Rojas, Maria Carolina Romero Sanchez, Miguel Antonio Greenhouse Gas Estimation for Colombia in 2020 |
| title | Greenhouse Gas Estimation for Colombia in 2020 |
| title_full | Greenhouse Gas Estimation for Colombia in 2020 |
| title_fullStr | Greenhouse Gas Estimation for Colombia in 2020 |
| title_full_unstemmed | Greenhouse Gas Estimation for Colombia in 2020 |
| title_short | Greenhouse Gas Estimation for Colombia in 2020 |
| title_sort | greenhouse gas estimation for colombia in 2020 |
| topic | climate change mitigation mitigation calculation |
| url | https://hdl.handle.net/10568/151891 |
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