[article] 
inScience of the Total Environment > vol. 735 (15 September 2020) . - p. 1-10

Titre :	Estimating resilience of crop production systems: from theory to practice
Type de document :	objet à 3 dimensions, artefacts, ...
Auteurs :	M. Zampieri, Auteur ; M. van den Berg ; A. Toreti ; B. Grizzetti ; F. Dentener ; C.J. Weissteiner, Auteur
Année de publication :	2020
Article en page(s) :	p. 1-10
Langues :	Anglais (eng) Langues originales : Anglais (eng)
Catégories :	C ECONOMIE - ECONOMIE SOCIALE ET SOLIDAIRE:Biodiversity ; F POPULATIONS - ETUDES DE CAS:Cropping systems ; S SCIENCES ET TECHNIQUES:Approche scientifique:Méthode scientifique:Évaluation Appraising or judging persons, organizations or things in relation to stated objectives, standards or criteria. Use more specific descriptor where appropriate. ; S SCIENCES ET TECHNIQUES:Pollution, catastrophes et sécurité:Dégradation de l'environnement:Changement climatique
Mots-clés :	06 - AGRICULTURE. FORÊTS. PÊCHES  6.4 - Production Agricole. Système de Production  RESILIENCE  RESILIENCE  BIODIVERSITE  CLIMATIC CHANGE  CROP YIELD  RENDEMENT DES CULTURES  FARMING SYSTEM  SYSTEME DE PRODUCTION  AGRICULTURAL SECTOR  SECTEUR AGRICOLE  WEATHER HAZARDS  ACCIDENT CLIMATIQUE  GLOBAL WARMING  RECHAUFFEMENT GLOBAL  SYSTEME DE CULTURE  INDICATORS  INDICATEUR  PLANT PRODUCTION  PRODUCTION VEGETALE  DIVERSIFICATION  DIVERSIFICATION
Résumé :	Agricultural production systems are sensitive to weather and climate anomalies and extremes as well as to other environmental and socio-economic adverse events. An adequate evaluation of the resilience of such systems helps to assess food security and the capacity of society to cope with the effects of global warming and the associated increase of climate extremes. Here, we propose and apply a simple indicator of resilience of annual crop production that can be estimated from crop production time series. First, we address the problem of quantifying resilience in a simplified theoretical framework, focusing on annual crops. This results in the proposal of an indicator, measured by the reciprocal of the squared coefficient of variance, which is proportional to the return period of the largest shocks that the crop production system can absorb, and which is consistent with the original ecological definition of resilience. Subsequently, we show the sensitivity of the crop resilience indicator to the level of management of the crop production system, to the frequency of extreme events as well as to simplified socio-economic impacts of the production losses. Finally, we demonstrate the practical applicability of the indicator using historical production data at national and sub-national levels for France. The results show that the value of the resilience indicator steeply increases with crop diversity until six crops are considered, and then levels off. The effect of diversity on production resilience is highest when crops are more diverse (i.e. as reflected in less well correlated production time series). In the case of France, the indicator reaches about 60% of the value that would be expected if all crop production time-series were uncorrelated.
En ligne :	https://doi.org/10.1016/j.scitotenv.2020.139378
Permalink :	https://cs.iut.univ-tours.fr/index.php?lvl=notice_display&id=248136

[article] Estimating resilience of crop production systems: from theory to practice [objet à 3 dimensions, artefacts, ...] / M. Zampieri, Auteur ; M. van den Berg ; A. Toreti ; B. Grizzetti ; F. Dentener ; C.J. Weissteiner, Auteur . - 2020 . - p. 1-10.
Langues : Anglais (eng) Langues originales : Anglais (eng)
in Science of the Total Environment > vol. 735 (15 September 2020) . - p. 1-10

Catégories :	C ECONOMIE - ECONOMIE SOCIALE ET SOLIDAIRE:Biodiversity ; F POPULATIONS - ETUDES DE CAS:Cropping systems ; S SCIENCES ET TECHNIQUES:Approche scientifique:Méthode scientifique:Évaluation Appraising or judging persons, organizations or things in relation to stated objectives, standards or criteria. Use more specific descriptor where appropriate. ; S SCIENCES ET TECHNIQUES:Pollution, catastrophes et sécurité:Dégradation de l'environnement:Changement climatique
Mots-clés :	06 - AGRICULTURE. FORÊTS. PÊCHES  6.4 - Production Agricole. Système de Production  RESILIENCE  RESILIENCE  BIODIVERSITE  CLIMATIC CHANGE  CROP YIELD  RENDEMENT DES CULTURES  FARMING SYSTEM  SYSTEME DE PRODUCTION  AGRICULTURAL SECTOR  SECTEUR AGRICOLE  WEATHER HAZARDS  ACCIDENT CLIMATIQUE  GLOBAL WARMING  RECHAUFFEMENT GLOBAL  SYSTEME DE CULTURE  INDICATORS  INDICATEUR  PLANT PRODUCTION  PRODUCTION VEGETALE  DIVERSIFICATION  DIVERSIFICATION
Résumé :	Agricultural production systems are sensitive to weather and climate anomalies and extremes as well as to other environmental and socio-economic adverse events. An adequate evaluation of the resilience of such systems helps to assess food security and the capacity of society to cope with the effects of global warming and the associated increase of climate extremes. Here, we propose and apply a simple indicator of resilience of annual crop production that can be estimated from crop production time series. First, we address the problem of quantifying resilience in a simplified theoretical framework, focusing on annual crops. This results in the proposal of an indicator, measured by the reciprocal of the squared coefficient of variance, which is proportional to the return period of the largest shocks that the crop production system can absorb, and which is consistent with the original ecological definition of resilience. Subsequently, we show the sensitivity of the crop resilience indicator to the level of management of the crop production system, to the frequency of extreme events as well as to simplified socio-economic impacts of the production losses. Finally, we demonstrate the practical applicability of the indicator using historical production data at national and sub-national levels for France. The results show that the value of the resilience indicator steeply increases with crop diversity until six crops are considered, and then levels off. The effect of diversity on production resilience is highest when crops are more diverse (i.e. as reflected in less well correlated production time series). In the case of France, the indicator reaches about 60% of the value that would be expected if all crop production time-series were uncorrelated.
En ligne :	https://doi.org/10.1016/j.scitotenv.2020.139378
Permalink :	https://cs.iut.univ-tours.fr/index.php?lvl=notice_display&id=248136