Climate and environmental Crop Risk Index (CRI)
The objective of this project is to develop a crop production risk index that enables the quantification of expected yield changes in the future, facilitating benefit modelling. The crop risk index is based on a hazard-risk framework and utilises spatial data on climate and environmental factors, co...
| Main Authors: | , |
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| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
2025
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| Online Access: | https://hdl.handle.net/10568/178929 |
| _version_ | 1855518107107328000 |
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| author | Lenaerts, Bert Badayos, Gerdino |
| author_browse | Badayos, Gerdino Lenaerts, Bert |
| author_facet | Lenaerts, Bert Badayos, Gerdino |
| author_sort | Lenaerts, Bert |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The objective of this project is to develop a crop production risk index that enables the quantification of expected yield changes in the future, facilitating benefit modelling. The crop risk index is based on a hazard-risk framework and utilises spatial data on climate and environmental factors, combined with expert estimates (see Table 1). This simplified approach aims to address limitations encountered in traditional crop modelling, such as inadequate coverage, missing salinity modules, and constraints related to computing capacity, ultimately enhancing the scalability of yield predictions. |
| format | Informe técnico |
| id | CGSpace178929 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1789292025-12-18T02:03:28Z Climate and environmental Crop Risk Index (CRI) Lenaerts, Bert Badayos, Gerdino climate change risk The objective of this project is to develop a crop production risk index that enables the quantification of expected yield changes in the future, facilitating benefit modelling. The crop risk index is based on a hazard-risk framework and utilises spatial data on climate and environmental factors, combined with expert estimates (see Table 1). This simplified approach aims to address limitations encountered in traditional crop modelling, such as inadequate coverage, missing salinity modules, and constraints related to computing capacity, ultimately enhancing the scalability of yield predictions. 2025 2025-12-17T15:09:09Z 2025-12-17T15:09:09Z Report https://hdl.handle.net/10568/178929 en Open Access application/pdf Lenaerts, B. and Badayos, G. 2025. Climate and environmental Crop Risk Index (CRI) |
| spellingShingle | climate change risk Lenaerts, Bert Badayos, Gerdino Climate and environmental Crop Risk Index (CRI) |
| title | Climate and environmental Crop Risk Index (CRI) |
| title_full | Climate and environmental Crop Risk Index (CRI) |
| title_fullStr | Climate and environmental Crop Risk Index (CRI) |
| title_full_unstemmed | Climate and environmental Crop Risk Index (CRI) |
| title_short | Climate and environmental Crop Risk Index (CRI) |
| title_sort | climate and environmental crop risk index cri |
| topic | climate change risk |
| url | https://hdl.handle.net/10568/178929 |
| work_keys_str_mv | AT lenaertsbert climateandenvironmentalcropriskindexcri AT badayosgerdino climateandenvironmentalcropriskindexcri |