Assessing climate change impact on Guyana's crops using integrated crop and spatial modeling approaches.
The Crop and Spatial Modeling activity was part of the project ‘Development of an Evidence-Based, Gender Equitable Framework for Climate Smart Agriculture Interventions,’ carried out under the Ministry of Agriculture and in collaboration with the International Center for Tropical Agriculture (CIAT),...
| Autores principales: | , , , |
|---|---|
| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
Bioversity International and the International Center for Tropical Agriculture
2021
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/113955 |
| _version_ | 1855542068275838976 |
|---|---|
| author | Benn, Dina Khadija Nanlall, Satesh Jines, Andrés Eitzinger, Anton |
| author_browse | Benn, Dina Khadija Eitzinger, Anton Jines, Andrés Nanlall, Satesh |
| author_facet | Benn, Dina Khadija Nanlall, Satesh Jines, Andrés Eitzinger, Anton |
| author_sort | Benn, Dina Khadija |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The Crop and Spatial Modeling activity was part of the project ‘Development of an Evidence-Based, Gender Equitable Framework for Climate Smart Agriculture Interventions,’ carried out under the Ministry of Agriculture and in collaboration with the International Center for Tropical Agriculture (CIAT), the Hydrometeorological Service of Guyana, and the University of Guyana. The project required geospatial vulnerability assessment and crop modeling research and extends previous climate change studies and vulnerability and capacity assessments regarding Guyana’s agricultural sector. The research was completed on the comparative use of geospatial methods and crop modeling tools for modeling crop suitability and yield in Guyana. This report shows thematic map outputs that indicate agro-climatic zones of high to low growth potential using current climate and edaphic datasets. Crop modeling required research of the growing conditions of target crops, after which calibrations were applied to estimate yields under future climate scenarios RCP4.5 and RCP8.5. |
| format | Informe técnico |
| id | CGSpace113955 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Bioversity International and the International Center for Tropical Agriculture |
| publisherStr | Bioversity International and the International Center for Tropical Agriculture |
| record_format | dspace |
| spelling | CGSpace1139552025-12-08T10:29:22Z Assessing climate change impact on Guyana's crops using integrated crop and spatial modeling approaches. Benn, Dina Khadija Nanlall, Satesh Jines, Andrés Eitzinger, Anton climate smart agriculture crop modelling spatial data methods agricultura climáticamente inteligente modelización de los cultivos datos espaciales métodos The Crop and Spatial Modeling activity was part of the project ‘Development of an Evidence-Based, Gender Equitable Framework for Climate Smart Agriculture Interventions,’ carried out under the Ministry of Agriculture and in collaboration with the International Center for Tropical Agriculture (CIAT), the Hydrometeorological Service of Guyana, and the University of Guyana. The project required geospatial vulnerability assessment and crop modeling research and extends previous climate change studies and vulnerability and capacity assessments regarding Guyana’s agricultural sector. The research was completed on the comparative use of geospatial methods and crop modeling tools for modeling crop suitability and yield in Guyana. This report shows thematic map outputs that indicate agro-climatic zones of high to low growth potential using current climate and edaphic datasets. Crop modeling required research of the growing conditions of target crops, after which calibrations were applied to estimate yields under future climate scenarios RCP4.5 and RCP8.5. 2021-06 2021-06-15T14:00:01Z 2021-06-15T14:00:01Z Report https://hdl.handle.net/10568/113955 en Open Access application/pdf Bioversity International and the International Center for Tropical Agriculture Benn, D.K.; Nanlall, S.; Jines, A.; Eitzinger, A. (2021) Assessing climate change impact on Guyana's crops using integrated crop and spatial modeling approaches. Cali (Colombia): Alliance of Bioversity International and CIAT. 46 p. |
| spellingShingle | climate smart agriculture crop modelling spatial data methods agricultura climáticamente inteligente modelización de los cultivos datos espaciales métodos Benn, Dina Khadija Nanlall, Satesh Jines, Andrés Eitzinger, Anton Assessing climate change impact on Guyana's crops using integrated crop and spatial modeling approaches. |
| title | Assessing climate change impact on Guyana's crops using integrated crop and spatial modeling approaches. |
| title_full | Assessing climate change impact on Guyana's crops using integrated crop and spatial modeling approaches. |
| title_fullStr | Assessing climate change impact on Guyana's crops using integrated crop and spatial modeling approaches. |
| title_full_unstemmed | Assessing climate change impact on Guyana's crops using integrated crop and spatial modeling approaches. |
| title_short | Assessing climate change impact on Guyana's crops using integrated crop and spatial modeling approaches. |
| title_sort | assessing climate change impact on guyana s crops using integrated crop and spatial modeling approaches |
| topic | climate smart agriculture crop modelling spatial data methods agricultura climáticamente inteligente modelización de los cultivos datos espaciales métodos |
| url | https://hdl.handle.net/10568/113955 |
| work_keys_str_mv | AT benndinakhadija assessingclimatechangeimpactonguyanascropsusingintegratedcropandspatialmodelingapproaches AT nanlallsatesh assessingclimatechangeimpactonguyanascropsusingintegratedcropandspatialmodelingapproaches AT jinesandres assessingclimatechangeimpactonguyanascropsusingintegratedcropandspatialmodelingapproaches AT eitzingeranton assessingclimatechangeimpactonguyanascropsusingintegratedcropandspatialmodelingapproaches |