Clisagri : An R package for agro-climate services
© 2020 The Authors..
Crop yields are affected by unfavourable/extreme weather and climate events occurring during sensitive growth stages. Understanding the risks associated with these events is essential to adapt agro-management decisions and reduce losses. For this purpose, we propose a targeted climate service integrating a dynamic crop phenology model with an approach based on dedicated agro-climate risk indicators. The initial set of these indicators has been developed in a co-design approach with agronomists and durum wheat farmers participating as end-users in the H2020-MedGOLD project. Four groups of indicators characterize drought events, excessive wetness, cold stress and heat stress during sensitive growth stages. The proposed approach has been fully implemented as an R-package named Clisagri. The package is complemented with a set of optimization functions, which target optimal variety selection in terms of crop cycle duration.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:20 |
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| Enthalten in: |
Climate services - 20(2020) vom: 24. Dez., Seite 100197 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Ceglar, A [VerfasserIn] |
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| Links: |
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| Themen: |
Climate service |
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| Anmerkungen: |
Date Revised 19.01.2021 published: Print Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.cliser.2020.100197 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM32021057X |
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| 520 | |a Crop yields are affected by unfavourable/extreme weather and climate events occurring during sensitive growth stages. Understanding the risks associated with these events is essential to adapt agro-management decisions and reduce losses. For this purpose, we propose a targeted climate service integrating a dynamic crop phenology model with an approach based on dedicated agro-climate risk indicators. The initial set of these indicators has been developed in a co-design approach with agronomists and durum wheat farmers participating as end-users in the H2020-MedGOLD project. Four groups of indicators characterize drought events, excessive wetness, cold stress and heat stress during sensitive growth stages. The proposed approach has been fully implemented as an R-package named Clisagri. The package is complemented with a set of optimization functions, which target optimal variety selection in terms of crop cycle duration | ||
| 650 | 4 | |a Journal Article | |
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| 650 | 4 | |a Decision support | |
| 650 | 4 | |a Drought | |
| 650 | 4 | |a Heat stress | |
| 650 | 4 | |a Seasonal prediction | |
| 650 | 4 | |a Winter wheat | |
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| 700 | 1 | |a Bettati, T |e verfasserin |4 aut | |
| 700 | 1 | |a Bratu, M |e verfasserin |4 aut | |
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