Regional assessment of climate change impacts on maize productivity and associated production risk in Switzerland

Torriani, Daniele Simone; Calanca, Pierluigi; Lips, Markus; Ammann, Helmut; Beniston, Martin; Fuhrer, Jürg

doi:10.1007/s10113-007-0039-z

Cited by 39 publications

(37 citation statements)

References 49 publications

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“…This implies that the distribution yield is skewed to the left, which corresponds to a significant exposure to downside risk. In this case, if negative skewness increases, the probability of crop failure would increase (Torriani et al 2007).…”

Section: Estimation Of Risk Functionsmentioning

confidence: 99%

Farmers' Adaptation to Extreme Weather Events through Farm Management and Its Impacts on the Mean and Risk of Rice Yield in China

Huang

Wang

2015

American J Agri Economics

166

103

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We explore how rice farmers adjust their farm management practices in response to extreme weather events and determine whether their adjustments affect the mean, risk, and downside risk of rice yield. Based on a survey of 1,653 rice farmers in China, our econometric analyses show that the severity of drought and flood in the study areas significantly increases the risk and downside risk of rice yield. The applied farm management measures respond to severe drought and flood and can be considered as adaptation to climate change, an issue often ignored in previous studies. We model adaptation and its impact on rice yield for adapters and non-adapters. Utilizing a moment-based approach, we show that adaptation through farm management measures significantly increases rice yield and reduces the risk and downside risk of rice yield. Several policies, including scaling up the cost-effective farm management adaptation and providing public services related to natural disasters, are recommended to improve adaptive capacity of farmers, particular the poor, in response to extreme events.

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Section: Estimation Of Risk Functionsmentioning

confidence: 99%

Farmers' Adaptation to Extreme Weather Events through Farm Management and Its Impacts on the Mean and Risk of Rice Yield in China

Huang

Wang

2015

American J Agri Economics

166

103

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“…Using a simplified statistical mo del, Torriani et al (2007) conducted sensitivity experiments on the effects of shifts in sowing dates on maize yield under diverse climate-change conditions. The impact assessment using biophysical crop models can be either site-specific or spatial.…”

Section: Abstract: Climate Change Impacts · Maize Production · Scenamentioning

confidence: 99%

Effects of climate change on maize production, and potential adaptation measures: a case study in Jilin Province, China

Wang¹,

Li²,

Ye³

et al. 2011

Clim. Res.

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“…The occurrence of hail storms is quite frequent over a wide belt at the middle latitudes and has a significant impact on crops grown in these regions. Global warming is expected to increase the occurrences of extreme meteorological events (Diffenbaugh, Scherer, & Trapp, ; Piani et al., ) with a consequent increase in crop production risk (Torriani et al., ).…”

Section: Introductionmentioning

confidence: 99%

Effects of defoliation on whole‐plant maize characteristics as forage and energy crop

Bani

Grecchi

Ahmed

et al. 2018

Grass and Forage Science

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Hail affects yield and quality of maize crops, and consequences also depend on the growth stage at which the injury occurred. Whole‐plant maize (WPM) silage is often used within the same farm for cattle feeding and biogas production. The present study aimed to verify the effects of hail damage, simulated by artificial defoliation, on yield and chemical and nutritional features, as well as on biochemical methane potential (BMP) of maize forage. In a randomized block design with three replicates, four defoliation levels (0%, 33%, 66% and 100% of leaf area removal respectively) have been applied at either the V12 (12th leaf), R1 (silking) or R3 (milk) stages for two consecutive years. WPM yield, chemical and nutritional features, and BMP were measured. Dry‐matter (DM) yield per hectare was progressively reduced (p < 0.001) with increasing levels of defoliation and with application at V12 in comparison with R1 or R3 (1.26 vs. 1.39 and 1.46 kg ha−1 for V12 vs. R1 and R3; p < 0.003). Nutritive value and BMP per unit of product were less altered than dry‐matter yield per hectare by defoliation. Anticipating defoliation reduced net energy for lactation (5.26 vs. 5.46 MJ kg−1 DM for V12 and R3 respectively; p = 0.02). Total defoliation resulted in an accumulation of nitrates (NO3) compared to the other treatments (3.98 vs. 1.53 g NO3 kg−1 DM; p < 0.001). BMP was mainly reduced by early and complete defoliation. Equations were developed to estimate the effects of defoliation on yield, composition, and nutritive and energetic values of WPM.

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Regional assessment of climate change impacts on maize productivity and associated production risk in Switzerland

Cited by 39 publications

References 49 publications

Farmers' Adaptation to Extreme Weather Events through Farm Management and Its Impacts on the Mean and Risk of Rice Yield in China

Farmers' Adaptation to Extreme Weather Events through Farm Management and Its Impacts on the Mean and Risk of Rice Yield in China

Effects of climate change on maize production, and potential adaptation measures: a case study in Jilin Province, China

Effects of defoliation on whole‐plant maize characteristics as forage and energy crop

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