Methodology of the annual livestock assessment and development model (LEAD) for China: Calculation Rules and Farm Level Environmental Performance Parameters
This report is an explanation of the computational methodology of the annual Livestock Environmental Assessment and Development (LEAD) model for China. The methodology developed using these conceptual calculation rules aims to introduce a harmonized scientific and reliable approach to the assessment...
| Main Authors: | , |
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| Format: | Artículo preliminar |
| Language: | Inglés |
| Published: |
CGIAR Research Program on Climate Change, Agriculture and Food Security
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/116799 |
| _version_ | 1855531499434016768 |
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| author | Hongmin, Dong Wei, Sha |
| author_browse | Hongmin, Dong Wei, Sha |
| author_facet | Hongmin, Dong Wei, Sha |
| author_sort | Hongmin, Dong |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This report is an explanation of the computational methodology of the annual Livestock Environmental Assessment and Development (LEAD) model for China. The methodology developed using these conceptual calculation rules aims to introduce a harmonized scientific and reliable approach to the assessment of the nitrogen and phosphorus flows and environmental emissions of milk production on dairy farms. It aims to increase the understanding of milk supply chains and to help improve their environmental performance. The LEAD model will allow individual processing companies and farms in the dairy sector to assess the environmental impact associated with their production system or chain and aims to give suggestions on how to change their farm management to improve their dairy production system and environmental performance. The present methodology of the LEAD model is not intended to remain static. It will be updated and improved as the sector evolves and as new methodological frameworks and data become available.
Keywords:
Nutrient flow; nitrogen; phosphorus; environmental emissions; manure treatment |
| format | Artículo preliminar |
| id | CGSpace116799 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| publisherStr | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| record_format | dspace |
| spelling | CGSpace1167992024-01-23T12:04:31Z Methodology of the annual livestock assessment and development model (LEAD) for China: Calculation Rules and Farm Level Environmental Performance Parameters Hongmin, Dong Wei, Sha climate change agriculture food security dairy cattle dairy climate change mitigation nitrogen phosphorus greenhouse gas emissions manure management greenhouse gases nutrient management This report is an explanation of the computational methodology of the annual Livestock Environmental Assessment and Development (LEAD) model for China. The methodology developed using these conceptual calculation rules aims to introduce a harmonized scientific and reliable approach to the assessment of the nitrogen and phosphorus flows and environmental emissions of milk production on dairy farms. It aims to increase the understanding of milk supply chains and to help improve their environmental performance. The LEAD model will allow individual processing companies and farms in the dairy sector to assess the environmental impact associated with their production system or chain and aims to give suggestions on how to change their farm management to improve their dairy production system and environmental performance. The present methodology of the LEAD model is not intended to remain static. It will be updated and improved as the sector evolves and as new methodological frameworks and data become available. Keywords: Nutrient flow; nitrogen; phosphorus; environmental emissions; manure treatment 2021-12-16 2021-12-16T14:57:34Z 2021-12-16T14:57:34Z Working Paper https://hdl.handle.net/10568/116799 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security Dong H, Wei S. 2021. Methodology of the annual livestock assessment and development model (LEAD) for China: Calculation Rules and Farm Level Environmental Performance Parameters. CCAFS Working Paper no. 401. Wageningen, the Netherlands: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). |
| spellingShingle | climate change agriculture food security dairy cattle dairy climate change mitigation nitrogen phosphorus greenhouse gas emissions manure management greenhouse gases nutrient management Hongmin, Dong Wei, Sha Methodology of the annual livestock assessment and development model (LEAD) for China: Calculation Rules and Farm Level Environmental Performance Parameters |
| title | Methodology of the annual livestock assessment and development model (LEAD) for China: Calculation Rules and Farm Level Environmental Performance Parameters |
| title_full | Methodology of the annual livestock assessment and development model (LEAD) for China: Calculation Rules and Farm Level Environmental Performance Parameters |
| title_fullStr | Methodology of the annual livestock assessment and development model (LEAD) for China: Calculation Rules and Farm Level Environmental Performance Parameters |
| title_full_unstemmed | Methodology of the annual livestock assessment and development model (LEAD) for China: Calculation Rules and Farm Level Environmental Performance Parameters |
| title_short | Methodology of the annual livestock assessment and development model (LEAD) for China: Calculation Rules and Farm Level Environmental Performance Parameters |
| title_sort | methodology of the annual livestock assessment and development model lead for china calculation rules and farm level environmental performance parameters |
| topic | climate change agriculture food security dairy cattle dairy climate change mitigation nitrogen phosphorus greenhouse gas emissions manure management greenhouse gases nutrient management |
| url | https://hdl.handle.net/10568/116799 |
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