ArticleThe Science of the total environment2020
Estimating resilience of crop production systems: From theory to practice.
Article in The Science of the total environment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Context-Dependent Allelopathic Interactions Between Winter Cereal Rye and Grain Legumes in Relay-Row Intercropping Systems.Biology · 2026Article
- Global reallocation of rainfed crops can boost production and reduce climate risk.Nature food · 2026Article
- Impact of Climate Change, Agricultural Credit and Inflation on Cereal Crop Productivity in Ethiopia: Novel Dynamic Simulated ARDL Approach.Food science & nutrition · 2026Article
- Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Review
- Quantifying the stability of food supply and assessing the impact of milk quota removal in Walloon specialized dairy systems.Scientific reports · 2025Article
- Addressing global challenges: How does the integration of rural industries in China enhance agricultural resilience?PloS one · 2025Article
- Changes in Chemical Composition of Lentils, Including Gamma-Aminobutyric Acid and Volatile Compound Formation during Submerged and Solid-State Fermentation withFoods (Basel, Switzerland) · 2024Article
- Plant responses to climate change, how global warming may impact on food security: a critical review.Frontiers in plant science · 2023Review
- Assessing the Economic Resilience of Different Management Systems to Severe Forest Disturbance.Environmental & resource economics · 2023Article
- Climate service driven adaptation may alleviate the impacts of climate change in agriculture.Communications biology · 2022Article
- Farmer surveys in Europe suggest that specialized, intensive farms were more likely to perceive negative impacts from COVID-19.Agronomy for sustainable development · 2022Article
- Impact of Climate Change on Dryland Agricultural Systems: A Review of Current Status, Potentials, and Further Work Need.International journal of plant production · 2022Review
- The Future Extreme Temperature under RCP8.5 Reduces the Yields of Major Crops in Northern Peninsular of Southeast Asia.TheScientificWorldJournal · 2022Article
- Identification of drought tolerant Chickpea genotypes through multi trait stability index.Saudi journal of biological sciences · 2021Article
- Complementary mechanisms stabilize national food production.Scientific reports · 2021Article
- Review
- Impact of extreme weather conditions on European crop production in 2018.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- The fingerprints of climate warming on cereal crops phenology and adaptation options.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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