2016
DOI: 10.1016/j.agsy.2016.05.013
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Winners and losers from climate change in agriculture: Insights from a case study in the Mediterranean basin

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Cited by 54 publications
(33 citation statements)
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“…However, in this study higher yields were predicted in autumn, winter and spring due to a combined effect of higher temperatures and CO 2 levels, leading to an overall increase in productivity. In line with this, Dono et al (2016), modelling productivity of semi-natural grasslands dominated by self-reseeding annual species (no summer production) in the near future (2020)(2021)(2022)(2023)(2024)(2025)(2026)(2027)(2028)(2029)(2030) in Sardinia, Italy, predicted decreased spring yields and higher autumn yields due to increased temperature and increased rainfall occurrence in October. In the same study, irrigated annual ryegrass crops were predicted to have increased yields in the near future.…”
Section: Forage Dry Matter Productivitymentioning
confidence: 72%
“…However, in this study higher yields were predicted in autumn, winter and spring due to a combined effect of higher temperatures and CO 2 levels, leading to an overall increase in productivity. In line with this, Dono et al (2016), modelling productivity of semi-natural grasslands dominated by self-reseeding annual species (no summer production) in the near future (2020)(2021)(2022)(2023)(2024)(2025)(2026)(2027)(2028)(2029)(2030) in Sardinia, Italy, predicted decreased spring yields and higher autumn yields due to increased temperature and increased rainfall occurrence in October. In the same study, irrigated annual ryegrass crops were predicted to have increased yields in the near future.…”
Section: Forage Dry Matter Productivitymentioning
confidence: 72%
“…The cultivar coefficients of the crops for DSSAT were estimated with the Genetic Coefficient Estimator [46] based on long-term data obtained from private farms. The coefficients of species and ecotype were left unchanged [47].…”
Section: Methodsmentioning
confidence: 99%
“…Finally, the impact of CC in altering crop irrigation requirements and production yields in the near-future scenario was assessed by transforming the 150 occurrences generated by the crop models into probability distribution functions, which produced the inputs for a Discrete Stochastic Programming (DSP) economic model [47]. The DSP model used is described in Appendix A.…”
Section: Methodsmentioning
confidence: 99%
“…Restrictions were imposed on animal effluent management, which forced farmers to build manure containers, which resulted in increased costs for dairy farmers already facing a multi-year crisis of milk prices, feedstuff, and mineral fertilizers. In this scenario, the crisis is intensified by climate change, which not only undermines farmers' knowledge of climate prediction, but also threatens cow mortality, fertility, and productivity, as well as crop production and the spread of diseases due to increasingly frequent summer heat waves [37].…”
Section: The Context Of La Rasgionimentioning
confidence: 99%
“…The farmers, in fact, did not perceive their role in the un-sustainability of the system management, or did not feel that the issue affected their own livelihood. A participatory action research process started in 2008 [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37] and involved interdisciplinary teams composed of agronomists, economists, animal scientists, meteorologists, and social scientists. This research pathway was able to consolidate a long-term trust relationship between researchers and local stakeholders [38][39][40][41][42] and revealed asymmetries between the effective cooperation among livestock farmers and the fragmentation of competences and actions among the public institutional actors in the same catchment.…”
Section: The Context Of La Rasgionimentioning
confidence: 99%