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

2007 ◽  
Vol 7 (4) ◽  
pp. 209-221 ◽  
Author(s):  
Daniele Torriani ◽  
Pierluigi Calanca ◽  
Markus Lips ◽  
Helmut Ammann ◽  
Martin Beniston ◽  
...  
2008 ◽  
Vol 90 (1-2) ◽  
pp. 141-167 ◽  
Author(s):  
J. A. Richards ◽  
M. Mokrech ◽  
P. M. Berry ◽  
R. J. Nicholls

2010 ◽  
Vol 3 (2) ◽  
pp. 679-687 ◽  
Author(s):  
C. Huntingford ◽  
B. B. B. Booth ◽  
S. Sitch ◽  
N. Gedney ◽  
J. A. Lowe ◽  
...  

Abstract. We present a computationally efficient modelling system, IMOGEN, designed to undertake global and regional assessment of climate change impacts on the physical and biogeochemical behaviour of the land surface. A pattern-scaling approach to climate change drives a gridded land surface and vegetation model MOSES/TRIFFID. The structure allows extrapolation of General Circulation Model (GCM) simulations to different future pathways of greenhouse gases, including rapid first-order assessments of how the land surface and associated biogeochemical cycles might change. Evaluation of how new terrestrial process understanding influences such predictions can also be made with relative ease.


2021 ◽  
Vol 22 (1) ◽  
pp. 7-17
Author(s):  
R. GOWTHAM ◽  
K. BHUVANESHWARI ◽  
A. SENTHIL ◽  
M. DHASARATHAN ◽  
AROMAR REVI ◽  
...  

Over the last century, mean annual temperatures increased by ~1°C. UNFCCC has proposed to limit warming below 1.5°C relative to pre-industrial levels. A study was conducted on rice (C3 pathway) and maize (C4 pathway) over Tamil Nadu using DSSAT to understand the climate change impacts with projected temperature increase of 1.5°C.The future climate under RCP 4.5 and RCP 8.5 indicated 1.5°Cincrease in temperature to happen by 2053 and 2035, respectively over Tamil Nadu.Annual rainfall deviations in RCP4.5 showed drier than current condition and RCP8.5 projected wetter SWM and drier NEM (90 % of current rainfall).Impact of 1.5°C warming on crop phenology indicated 8 days reduction in duration for rice and maize. The W UE of rice would decrease by 17 per cent at current CO2 whereas, enrichment (430 ppm) would reduce by12 per cent and rice yield is reduced by 21 per cent with 360 ppm CO2 and 430 ppm reducedby 17 per cent. There is no considerable varaition (- 5 to 1 %) in maize productivity with 1.5 ºC warming. The above results indicated that 1.5 ºC warming has more negative impacts on plants with C3 compared to C4 pathway


2018 ◽  
Vol 98 (3) ◽  
pp. 782-795 ◽  
Author(s):  
R. Carew ◽  
T. Meng ◽  
W.J. Florkowski ◽  
R. Smith ◽  
D. Blair

A Just–Pope production function is employed to investigate the effects of historic weather changes on hard red spring wheat yield variability in Manitoba. Field-level data on wheat yield, proportion of wheat seeded area, and fertilizer inputs from the Manitoba Agricultural Services Corporation were employed to determine how temperature and precipitation affect mean wheat yield and production risk, and how projected climate scenarios impact yield variability in heterogeneous risk areas of Manitoba. Variety richness increases average yield and reduces yield variance while varieties protected by plant breeders’ rights increase yield variance. Phosphorus fertilizer is positively associated with average wheat yield while total precipitation is shown to negatively affect mean yield and positively impact yield variability. June precipitation matters while June and July temperatures negatively affect yield. Projected climate change is expected to increase yield variability in both the medium (2034–2050) and long term (2079–2095), both under low- and high-carbon scenarios with production variance effects differing across crop districts. Adaptation strategies may be required to mitigate yield risk effects of climate change resulting in late seeding decisions from increased spring precipitation.


2010 ◽  
Vol 3 (3) ◽  
pp. 1161-1184 ◽  
Author(s):  
C. Huntingford ◽  
B. B. B. Booth ◽  
S. Sitch ◽  
N. Gedney ◽  
J. A. Lowe ◽  
...  

Abstract. We present a computationally efficient modelling system, IMOGEN, designed to undertake global and regional assessment of climate change impacts on the physical and biogeochemical behaviour of the land surface. A pattern-scaling approach to climate change drives a gridded land surface and vegetation model MOSES/TRIFFID. The structure allows extrapolation of General Circulation Model (GCM) simulations to different future pathways of greenhouse gases, including rapid first-order assessments of how the land surface and associated biogeochemical cycles might change. Evaluation of how new terrestrial process understanding influences such predictions can also be made with relative ease.


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