Influence of climate variability on the potential forage production of a mown permanent grassland in the French Massif Central
International audience Climate Services (CS) provide support to decision makers across socio-economic sectors. In the agricultural sector, one of the most important CS applications is to provide timely and accurate yield forecasts based on climate prediction. In this study, the Pasture Simulation mo...
Published in: | Agricultural and Forest Meteorology |
---|---|
Main Authors: | , , , , |
Other Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2020
|
Subjects: | |
Online Access: | https://hal.inrae.fr/hal-02627244 https://doi.org/10.1016/j.agrformet.2019.107768 |
id |
ftccsdartic:oai:HAL:hal-02627244v1 |
---|---|
record_format |
openpolar |
spelling |
ftccsdartic:oai:HAL:hal-02627244v1 2023-05-15T17:31:57+02:00 Influence of climate variability on the potential forage production of a mown permanent grassland in the French Massif Central Gomara, Inigo Bellocchi, Gianni Martin, Raphaël Rodríguez-Fonseca, Belén Ruiz-Ramos, Margarita Universidad Politécnica de Madrid (UPM) Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP) VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Universidad Complutense de Madrid = Complutense University of Madrid Madrid (UCM) MACSUR-ModelingEuropeanAgriculturewithClimateChangefor food Security (FACCE-JPIThe meta-program ACCAFPRE4CAST 2020 https://hal.inrae.fr/hal-02627244 https://doi.org/10.1016/j.agrformet.2019.107768 en eng HAL CCSD Elsevier Masson info:eu-repo/semantics/altIdentifier/doi/10.1016/j.agrformet.2019.107768 hal-02627244 https://hal.inrae.fr/hal-02627244 doi:10.1016/j.agrformet.2019.107768 PRODINRA: 486872 WOS: 000525807000005 ISSN: 0168-1923 Agricultural and Forest Meteorology https://hal.inrae.fr/hal-02627244 Agricultural and Forest Meteorology, Elsevier Masson, 2020, 280, ⟨10.1016/j.agrformet.2019.107768⟩ Variabilité climatique Prairie Rendement service climatique Prévision de production fourragère [SDV]Life Sciences [q-bio] info:eu-repo/semantics/article Journal articles 2020 ftccsdartic https://doi.org/10.1016/j.agrformet.2019.107768 2021-11-07T01:04:33Z International audience Climate Services (CS) provide support to decision makers across socio-economic sectors. In the agricultural sector, one of the most important CS applications is to provide timely and accurate yield forecasts based on climate prediction. In this study, the Pasture Simulation model (PaSim) was used to simulate, for the period 1959–2015, the forage production of a mown grassland system (Laqueuille, Massif Central of France) under different management conditions, with meteorological inputs extracted from the SAFRAN atmospheric database. The aim was to generate purely climate-dependent timeseries of optimal forage production, a variable that was maximized by brighter and warmer weather conditions at the grassland. A long-term increase was observed in simulated forage yield, with the 1995–2015 average being 29% higher than the 1959–1979 average. Such increase seems consistent with observed rising trends in temperature and CO2, and multi-decadal changes in incident solar radiation. At interannual timescales, sea surface temperature anomalies of the Mediterranean (MED), Tropical North Atlantic (TNA), equatorial Pacific (El Niño Southern Oscillation) and the North Atlantic Oscillation (NAO) index were found robustly correlated with annual forage yield values. Relying only on climatic predictors, we developed a stepwise statistical multi-regression model with leave-one-out cross-validation. Under specific management conditions (e.g., three annual cuts) and from one to five months in advance, the generated model successfully provided a p-value<0.01 in correlation (t-test), a root mean square error percentage (%RMSE) of 14.6% and a 71.43% hit rate predicting above/below average years in terms of forage yield collection. This is the first modeling study on the possible role of large-scale oceanic–atmospheric teleconnections in driving forage production in Europe. As such, it provides a useful springboard to implement a grassland seasonal forecasting system in this continent. Article in Journal/Newspaper North Atlantic North Atlantic oscillation Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Pacific Agricultural and Forest Meteorology 280 107768 |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
Variabilité climatique Prairie Rendement service climatique Prévision de production fourragère [SDV]Life Sciences [q-bio] |
spellingShingle |
Variabilité climatique Prairie Rendement service climatique Prévision de production fourragère [SDV]Life Sciences [q-bio] Gomara, Inigo Bellocchi, Gianni Martin, Raphaël Rodríguez-Fonseca, Belén Ruiz-Ramos, Margarita Influence of climate variability on the potential forage production of a mown permanent grassland in the French Massif Central |
topic_facet |
Variabilité climatique Prairie Rendement service climatique Prévision de production fourragère [SDV]Life Sciences [q-bio] |
description |
International audience Climate Services (CS) provide support to decision makers across socio-economic sectors. In the agricultural sector, one of the most important CS applications is to provide timely and accurate yield forecasts based on climate prediction. In this study, the Pasture Simulation model (PaSim) was used to simulate, for the period 1959–2015, the forage production of a mown grassland system (Laqueuille, Massif Central of France) under different management conditions, with meteorological inputs extracted from the SAFRAN atmospheric database. The aim was to generate purely climate-dependent timeseries of optimal forage production, a variable that was maximized by brighter and warmer weather conditions at the grassland. A long-term increase was observed in simulated forage yield, with the 1995–2015 average being 29% higher than the 1959–1979 average. Such increase seems consistent with observed rising trends in temperature and CO2, and multi-decadal changes in incident solar radiation. At interannual timescales, sea surface temperature anomalies of the Mediterranean (MED), Tropical North Atlantic (TNA), equatorial Pacific (El Niño Southern Oscillation) and the North Atlantic Oscillation (NAO) index were found robustly correlated with annual forage yield values. Relying only on climatic predictors, we developed a stepwise statistical multi-regression model with leave-one-out cross-validation. Under specific management conditions (e.g., three annual cuts) and from one to five months in advance, the generated model successfully provided a p-value<0.01 in correlation (t-test), a root mean square error percentage (%RMSE) of 14.6% and a 71.43% hit rate predicting above/below average years in terms of forage yield collection. This is the first modeling study on the possible role of large-scale oceanic–atmospheric teleconnections in driving forage production in Europe. As such, it provides a useful springboard to implement a grassland seasonal forecasting system in this continent. |
author2 |
Universidad Politécnica de Madrid (UPM) Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP) VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Universidad Complutense de Madrid = Complutense University of Madrid Madrid (UCM) MACSUR-ModelingEuropeanAgriculturewithClimateChangefor food Security (FACCE-JPIThe meta-program ACCAFPRE4CAST |
format |
Article in Journal/Newspaper |
author |
Gomara, Inigo Bellocchi, Gianni Martin, Raphaël Rodríguez-Fonseca, Belén Ruiz-Ramos, Margarita |
author_facet |
Gomara, Inigo Bellocchi, Gianni Martin, Raphaël Rodríguez-Fonseca, Belén Ruiz-Ramos, Margarita |
author_sort |
Gomara, Inigo |
title |
Influence of climate variability on the potential forage production of a mown permanent grassland in the French Massif Central |
title_short |
Influence of climate variability on the potential forage production of a mown permanent grassland in the French Massif Central |
title_full |
Influence of climate variability on the potential forage production of a mown permanent grassland in the French Massif Central |
title_fullStr |
Influence of climate variability on the potential forage production of a mown permanent grassland in the French Massif Central |
title_full_unstemmed |
Influence of climate variability on the potential forage production of a mown permanent grassland in the French Massif Central |
title_sort |
influence of climate variability on the potential forage production of a mown permanent grassland in the french massif central |
publisher |
HAL CCSD |
publishDate |
2020 |
url |
https://hal.inrae.fr/hal-02627244 https://doi.org/10.1016/j.agrformet.2019.107768 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
ISSN: 0168-1923 Agricultural and Forest Meteorology https://hal.inrae.fr/hal-02627244 Agricultural and Forest Meteorology, Elsevier Masson, 2020, 280, ⟨10.1016/j.agrformet.2019.107768⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.agrformet.2019.107768 hal-02627244 https://hal.inrae.fr/hal-02627244 doi:10.1016/j.agrformet.2019.107768 PRODINRA: 486872 WOS: 000525807000005 |
op_doi |
https://doi.org/10.1016/j.agrformet.2019.107768 |
container_title |
Agricultural and Forest Meteorology |
container_volume |
280 |
container_start_page |
107768 |
_version_ |
1766129854340661248 |