Clisagri: An R package for agro-climate services
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 integr...
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doaj-a979c2e481ee422883610197a84330682020-12-19T05:09:32ZengElsevierClimate Services2405-88072020-12-0120100197Clisagri: An R package for agro-climate servicesA. Ceglar0A. Toreti1M. Zampieri2V. Manstretta3T. Bettati4M. Bratu5European Commission, Joint Research Centre, via Enrico Fermi 2749, 21027 Ispra, Italy; Corresponding author.European Commission, Joint Research Centre, via Enrico Fermi 2749, 21027 Ispra, ItalyEuropean Commission, Joint Research Centre, via Enrico Fermi 2749, 21027 Ispra, ItalyHORTA, Via Egidio Gorra 55, 29122 Piacenza, ItalyHORTA, Via Egidio Gorra 55, 29122 Piacenza, ItalyEuropean Commission, Joint Research Centre, via Enrico Fermi 2749, 21027 Ispra, ItalyCrop 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.http://www.sciencedirect.com/science/article/pii/S2405880720300492Climate serviceDecision supportWinter wheatDroughtHeat stressSeasonal prediction |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. Ceglar A. Toreti M. Zampieri V. Manstretta T. Bettati M. Bratu |
spellingShingle |
A. Ceglar A. Toreti M. Zampieri V. Manstretta T. Bettati M. Bratu Clisagri: An R package for agro-climate services Climate Services Climate service Decision support Winter wheat Drought Heat stress Seasonal prediction |
author_facet |
A. Ceglar A. Toreti M. Zampieri V. Manstretta T. Bettati M. Bratu |
author_sort |
A. Ceglar |
title |
Clisagri: An R package for agro-climate services |
title_short |
Clisagri: An R package for agro-climate services |
title_full |
Clisagri: An R package for agro-climate services |
title_fullStr |
Clisagri: An R package for agro-climate services |
title_full_unstemmed |
Clisagri: An R package for agro-climate services |
title_sort |
clisagri: an r package for agro-climate services |
publisher |
Elsevier |
series |
Climate Services |
issn |
2405-8807 |
publishDate |
2020-12-01 |
description |
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. |
topic |
Climate service Decision support Winter wheat Drought Heat stress Seasonal prediction |
url |
http://www.sciencedirect.com/science/article/pii/S2405880720300492 |
work_keys_str_mv |
AT aceglar clisagrianrpackageforagroclimateservices AT atoreti clisagrianrpackageforagroclimateservices AT mzampieri clisagrianrpackageforagroclimateservices AT vmanstretta clisagrianrpackageforagroclimateservices AT tbettati clisagrianrpackageforagroclimateservices AT mbratu clisagrianrpackageforagroclimateservices |
_version_ |
1724377675984797696 |