Review of crop modelling approaches to address climate change challenges in Africa
Africa is facing an urgent need to increase food production to meet increasing demands. Targeted investments in integrated agriculture and, water management systems are required to meet this challenge. However, there is a lack of comprehensive information on the potential applications of climate-sma...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/22/e3sconf_i2cnp2024_04001.pdf |
| _version_ | 1827344642419458048 |
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| author | Benaly Mohamed Amine Brouziyne Youssef Bouchaou Lhoussaine Kharrou Mohamed Hakim Chehbouni Abdelghani |
| author_facet | Benaly Mohamed Amine Brouziyne Youssef Bouchaou Lhoussaine Kharrou Mohamed Hakim Chehbouni Abdelghani |
| author_sort | Benaly Mohamed Amine |
| collection | DOAJ |
| description | Africa is facing an urgent need to increase food production to meet increasing demands. Targeted investments in integrated agriculture and, water management systems are required to meet this challenge. However, there is a lack of comprehensive information on the potential applications of climate-smart agriculture (CSA). This paper reviews current crop modeling technologies and their applications within the scope of climate change and the CSA framework in Africa. It evaluates current research trends in various crop simulation models and suggest advanced approaches to improve crop and environmental assessment, crop management, and decision-making. A total of 140 relevant papers were considered. Results showed that 84% of studies used process-based models, with Maize being the most studied crop. Additionally, DSSAT crop models and analysis of variance models have the highest contribution of physical and empirical crop modeling studies respectively. Over 72% of studies have contributed to adaptation strategies and reducing yield gaps, while only 8% of studies have been conducted on climate change mitigation and their trade-offs with adaptation using crop models under CSA. To ensure food security through sustainable agricultural practices in Africa, there is crucial to implement CSA models with a focus on the climate change mitigation component. |
| first_indexed | 2024-03-07T22:50:43Z |
| format | Article |
| id | doaj.art-a260f182b4684cd1b115e09577c0016f |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-07T22:50:43Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-a260f182b4684cd1b115e09577c0016f2024-02-23T10:28:09ZengEDP SciencesE3S Web of Conferences2267-12422024-01-014920400110.1051/e3sconf/202449204001e3sconf_i2cnp2024_04001Review of crop modelling approaches to address climate change challenges in AfricaBenaly Mohamed Amine0Brouziyne Youssef1Bouchaou Lhoussaine2Kharrou Mohamed Hakim3Chehbouni Abdelghani4International Water Research Institute, Mohammed VI Polytechnic University (UM6P)International Water Management Institute (IWMI), MENA OfficeInternational Water Research Institute, Mohammed VI Polytechnic University (UM6P)International Water Research Institute, Mohammed VI Polytechnic University (UM6P)International Water Research Institute, Mohammed VI Polytechnic University (UM6P)Africa is facing an urgent need to increase food production to meet increasing demands. Targeted investments in integrated agriculture and, water management systems are required to meet this challenge. However, there is a lack of comprehensive information on the potential applications of climate-smart agriculture (CSA). This paper reviews current crop modeling technologies and their applications within the scope of climate change and the CSA framework in Africa. It evaluates current research trends in various crop simulation models and suggest advanced approaches to improve crop and environmental assessment, crop management, and decision-making. A total of 140 relevant papers were considered. Results showed that 84% of studies used process-based models, with Maize being the most studied crop. Additionally, DSSAT crop models and analysis of variance models have the highest contribution of physical and empirical crop modeling studies respectively. Over 72% of studies have contributed to adaptation strategies and reducing yield gaps, while only 8% of studies have been conducted on climate change mitigation and their trade-offs with adaptation using crop models under CSA. To ensure food security through sustainable agricultural practices in Africa, there is crucial to implement CSA models with a focus on the climate change mitigation component.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/22/e3sconf_i2cnp2024_04001.pdfcrop modelsclimate-smart agricultureclimate changeirrigationafrica |
| spellingShingle | Benaly Mohamed Amine Brouziyne Youssef Bouchaou Lhoussaine Kharrou Mohamed Hakim Chehbouni Abdelghani Review of crop modelling approaches to address climate change challenges in Africa E3S Web of Conferences crop models climate-smart agriculture climate change irrigation africa |
| title | Review of crop modelling approaches to address climate change challenges in Africa |
| title_full | Review of crop modelling approaches to address climate change challenges in Africa |
| title_fullStr | Review of crop modelling approaches to address climate change challenges in Africa |
| title_full_unstemmed | Review of crop modelling approaches to address climate change challenges in Africa |
| title_short | Review of crop modelling approaches to address climate change challenges in Africa |
| title_sort | review of crop modelling approaches to address climate change challenges in africa |
| topic | crop models climate-smart agriculture climate change irrigation africa |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/22/e3sconf_i2cnp2024_04001.pdf |
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