This study investigates the temporal impacts of climate change on rice yield for summer-autumn (S... more This study investigates the temporal impacts of climate change on rice yield for summer-autumn (SA) and autumn-winter (AW) cropping pattern along with implication of brackish irrigation water for the SA season. Furthermore, evaluation of different agro-adaptations to overcome negative impacts of climate change was also done for Ca Mau province of Vietnam. Climatic variables were derived from six general circulation models which were further bias corrected at Ca Mau city station for three future time periods (2025s, 2055s, and 2085s). Calibrated AquaCrop 4.0 was used to project the future rice yield under climate change and different salinity levels in irrigation water. Simulation shows a decline in rice yield ranging from 1.60 to 23.69 % and 8.06 to 20.15 % by 2085s relative to baseline climate for A2 and B2 scenarios respectively in the case of the SA cropping season. However, an increase in rice yield ranging from 3.29 to 12.35 % and 6.64 to 17.23 % is observed for the corresponding time period and scenarios. Further simulations for the SA cropping season under climate change and increasing salinity in irrigation water suggest an insignificant increase in yield relative to the yield obtained without irrigation. Moreover, proper management practices, namely forward and early shifts in transplanting dates along with increasing fertilizer application rates, are observed to be beneficial to enhance the rice yield under climate change.
The present study analyzes the spatial and temporal impacts of climate change on padd... more The present study analyzes the spatial and temporal impacts of climate change on paddy yield for autumn-winter (AW) and summer-autumn (SA) cropping pattern. Climate variables for the future time windows were derived from general circulation model (HadCM3) which were further downscaled using SDSM 4.2 at three different stations for three future time periods (2025s, 2055s and 2085s). AquaCrop 4.0 was used to project the future paddy yield for the considered stations. Our results illustrate that climate change will elevate the maximum and minimum temperatures for all the stations ranging from 1.60 to 2.65°C and 2.08 to 2.97°C respectively for 2085s. An increase in average annual rainfall is also observed ranging from 8.8 to 35.3% for the three stations for the corresponding time window. Simulation for rice productivity shows a decline of paddy yield by -13.75 and -9.76% by 2085s relative to baseline climate for SA cropping season in case of A2 and B2 scenarios respectively. However, an increasing trend in paddy yield was observed in AW season with a boost of 12.5 and 8.12% for corresponding scenarios for period.
An investigation was carried out to assess the impacts of climate change on rainfed ... more An investigation was carried out to assess the impacts of climate change on rainfed maize yield using a yield response to water stress model (AquaCrop) and to identify suitable adaptation options to minimize the negative impacts on maize yield in East Sikkim, North East India. Crop management and yield data was collected from the field experimental plots for calibration and validation of the model for the study area. The future climate data was developed for two IPCC emission scenarios A2 and B2 based on the global climate model HadCM3 with downscaling of climate to finer spatial resolution using the statistical downscaling model, SDSM. The impact study revealed that there is an expected reduction in maize yield of 12.8, 28.3 and 33.9% for the A2 scenario and 7.5, 19.9 and 29.9% for the B2 scenario during 2012-40, 2041-70 and 2071-99 respectively compared to the average yield simulated during the period of 1961-1990 with observed climate data. The maize yield of same variety under future climate can be maintained or improved from current level by changing planting dates, providing supplement irrigation and managing optimum nutrient.
This study evaluates the impacts of climate change on rainfed maize (Zea mays) yield and evaluate... more This study evaluates the impacts of climate change on rainfed maize (Zea mays) yield and evaluates different agro-adaptation measures to counteract its negative impacts at Sikkim, a Himalayan state of India. Future climate scenarios for the 10 years centered on 2025, 2055 and 2085 were obtained by downscaling the outputs of the HadCM3 General Circulation Model (GCM) under for A2 and B2 emission scenarios. HadCM3 was chosen after assessing the performance analysis of six GCMs for the study region. The daily maximum and minimum temperatures are projected to rise in the future and precipitation is projected to decrease (by 1.7 to 22.6% relative to the 1991–2000 baseline) depending on the time period and scenarios considered. The crop simulation model CERES-Maize was then used to simulate maize yield under future climate change for the future time windows. Simulation results show that climate change could reduce maize productivity by 10.7–18.2%, compared to baseline yield, under A2 and 6.4–12.4% under B2 scenarios. However, the results also indicate that the projected decline in maize yield could be offset by early planting of seeds, lowering the farm yard manure application rate, introducing supplementary irrigation and shifting to heat tolerant varieties of maize.
An investigation was carried out to assess the climate change impacts on rainfed maize yield usin... more An investigation was carried out to assess the climate change impacts on rainfed maize yield using AquaCrop and CERES–maize crop simulation models, and evaluation of adaptation measures were performed for Sikkim state of India. Data related to crop phenology retrieved from the field experiments were used to calibrate and validate the crop models for three representative sites. Climate projections of six global circulation models (ECHAM5, CCSM, HadCM3, CSIRO-MK3.0, CGCM3.1, and MIROC3.2) for scenarios A2 and B2 were bias-corrected at station scale by power law transformation. Simulation results by the two crop models indicate a significant declination in the yield of NLD-White variety of maize ranging from 4.7 ± 1.4 to 20.4 ± 7.2 % for the future time windows under A2 scenario and 2.5 ± 0.9 to 15.8 ± 5.7 % under B2 scenario relative to the yield simulated for the baseline period of 1991–2000. It is also observed that, for a particular temperature, yield remarkably increases with escalated carbon dioxide (CO2) concentration. On contrary, increase in temperature reduces the yield at a particular CO2 concentration. The overall decline in the yield under future climate scenarios can be alleviated by early planting, appropriate nutrient management, introducing supplementary irrigation, and shifting to heat-tolerant varieties.
This study investigates the temporal impacts of climate change on rice yield for summer-autumn (S... more This study investigates the temporal impacts of climate change on rice yield for summer-autumn (SA) and autumn-winter (AW) cropping pattern along with implication of brackish irrigation water for the SA season. Furthermore, evaluation of different agro-adaptations to overcome negative impacts of climate change was also done for Ca Mau province of Vietnam. Climatic variables were derived from six general circulation models which were further bias corrected at Ca Mau city station for three future time periods (2025s, 2055s, and 2085s). Calibrated AquaCrop 4.0 was used to project the future rice yield under climate change and different salinity levels in irrigation water. Simulation shows a decline in rice yield ranging from 1.60 to 23.69 % and 8.06 to 20.15 % by 2085s relative to baseline climate for A2 and B2 scenarios respectively in the case of the SA cropping season. However, an increase in rice yield ranging from 3.29 to 12.35 % and 6.64 to 17.23 % is observed for the corresponding time period and scenarios. Further simulations for the SA cropping season under climate change and increasing salinity in irrigation water suggest an insignificant increase in yield relative to the yield obtained without irrigation. Moreover, proper management practices, namely forward and early shifts in transplanting dates along with increasing fertilizer application rates, are observed to be beneficial to enhance the rice yield under climate change.
The present study analyzes the spatial and temporal impacts of climate change on padd... more The present study analyzes the spatial and temporal impacts of climate change on paddy yield for autumn-winter (AW) and summer-autumn (SA) cropping pattern. Climate variables for the future time windows were derived from general circulation model (HadCM3) which were further downscaled using SDSM 4.2 at three different stations for three future time periods (2025s, 2055s and 2085s). AquaCrop 4.0 was used to project the future paddy yield for the considered stations. Our results illustrate that climate change will elevate the maximum and minimum temperatures for all the stations ranging from 1.60 to 2.65°C and 2.08 to 2.97°C respectively for 2085s. An increase in average annual rainfall is also observed ranging from 8.8 to 35.3% for the three stations for the corresponding time window. Simulation for rice productivity shows a decline of paddy yield by -13.75 and -9.76% by 2085s relative to baseline climate for SA cropping season in case of A2 and B2 scenarios respectively. However, an increasing trend in paddy yield was observed in AW season with a boost of 12.5 and 8.12% for corresponding scenarios for period.
An investigation was carried out to assess the impacts of climate change on rainfed ... more An investigation was carried out to assess the impacts of climate change on rainfed maize yield using a yield response to water stress model (AquaCrop) and to identify suitable adaptation options to minimize the negative impacts on maize yield in East Sikkim, North East India. Crop management and yield data was collected from the field experimental plots for calibration and validation of the model for the study area. The future climate data was developed for two IPCC emission scenarios A2 and B2 based on the global climate model HadCM3 with downscaling of climate to finer spatial resolution using the statistical downscaling model, SDSM. The impact study revealed that there is an expected reduction in maize yield of 12.8, 28.3 and 33.9% for the A2 scenario and 7.5, 19.9 and 29.9% for the B2 scenario during 2012-40, 2041-70 and 2071-99 respectively compared to the average yield simulated during the period of 1961-1990 with observed climate data. The maize yield of same variety under future climate can be maintained or improved from current level by changing planting dates, providing supplement irrigation and managing optimum nutrient.
This study evaluates the impacts of climate change on rainfed maize (Zea mays) yield and evaluate... more This study evaluates the impacts of climate change on rainfed maize (Zea mays) yield and evaluates different agro-adaptation measures to counteract its negative impacts at Sikkim, a Himalayan state of India. Future climate scenarios for the 10 years centered on 2025, 2055 and 2085 were obtained by downscaling the outputs of the HadCM3 General Circulation Model (GCM) under for A2 and B2 emission scenarios. HadCM3 was chosen after assessing the performance analysis of six GCMs for the study region. The daily maximum and minimum temperatures are projected to rise in the future and precipitation is projected to decrease (by 1.7 to 22.6% relative to the 1991–2000 baseline) depending on the time period and scenarios considered. The crop simulation model CERES-Maize was then used to simulate maize yield under future climate change for the future time windows. Simulation results show that climate change could reduce maize productivity by 10.7–18.2%, compared to baseline yield, under A2 and 6.4–12.4% under B2 scenarios. However, the results also indicate that the projected decline in maize yield could be offset by early planting of seeds, lowering the farm yard manure application rate, introducing supplementary irrigation and shifting to heat tolerant varieties of maize.
An investigation was carried out to assess the climate change impacts on rainfed maize yield usin... more An investigation was carried out to assess the climate change impacts on rainfed maize yield using AquaCrop and CERES–maize crop simulation models, and evaluation of adaptation measures were performed for Sikkim state of India. Data related to crop phenology retrieved from the field experiments were used to calibrate and validate the crop models for three representative sites. Climate projections of six global circulation models (ECHAM5, CCSM, HadCM3, CSIRO-MK3.0, CGCM3.1, and MIROC3.2) for scenarios A2 and B2 were bias-corrected at station scale by power law transformation. Simulation results by the two crop models indicate a significant declination in the yield of NLD-White variety of maize ranging from 4.7 ± 1.4 to 20.4 ± 7.2 % for the future time windows under A2 scenario and 2.5 ± 0.9 to 15.8 ± 5.7 % under B2 scenario relative to the yield simulated for the baseline period of 1991–2000. It is also observed that, for a particular temperature, yield remarkably increases with escalated carbon dioxide (CO2) concentration. On contrary, increase in temperature reduces the yield at a particular CO2 concentration. The overall decline in the yield under future climate scenarios can be alleviated by early planting, appropriate nutrient management, introducing supplementary irrigation, and shifting to heat-tolerant varieties.
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different stations for three future time periods (2025s, 2055s and 2085s). AquaCrop 4.0 was used to project the
future paddy yield for the considered stations. Our results illustrate that climate change will elevate the
maximum and minimum temperatures for all the stations ranging from 1.60 to 2.65°C and 2.08 to 2.97°C
respectively for 2085s. An increase in average annual rainfall is also observed ranging from 8.8 to 35.3% for the
three stations for the corresponding time window. Simulation for rice productivity shows a decline of paddy
yield by -13.75 and -9.76% by 2085s relative to baseline climate for SA cropping season in case of A2 and B2
scenarios respectively. However, an increasing trend in paddy yield was observed in AW season with a boost of
12.5 and 8.12% for corresponding scenarios for period.
developed for two IPCC emission scenarios A2 and B2 based on the global climate model HadCM3 with downscaling of climate to finer spatial resolution using the statistical
downscaling model, SDSM. The impact study revealed that there is an expected reduction in maize yield of 12.8, 28.3 and 33.9% for the A2 scenario and 7.5, 19.9 and 29.9% for the B2
scenario during 2012-40, 2041-70 and 2071-99 respectively compared to the average yield simulated during the period of 1961-1990 with observed climate data. The maize yield of same variety under future climate can be maintained or improved from current level by changing planting dates, providing supplement irrigation and managing optimum nutrient.
different agro-adaptation measures to counteract its negative impacts at Sikkim, a Himalayan state of
India. Future climate scenarios for the 10 years centered on 2025, 2055 and 2085 were obtained by
downscaling the outputs of the HadCM3 General Circulation Model (GCM) under for A2 and B2
emission scenarios. HadCM3 was chosen after assessing the performance analysis of six GCMs for
the study region. The daily maximum and minimum temperatures are projected to rise in the future
and precipitation is projected to decrease (by 1.7 to 22.6% relative to the 1991–2000 baseline)
depending on the time period and scenarios considered. The crop simulation model CERES-Maize
was then used to simulate maize yield under future climate change for the future time windows.
Simulation results show that climate change could reduce maize productivity by 10.7–18.2%,
compared to baseline yield, under A2 and 6.4–12.4% under B2 scenarios. However, the results also
indicate that the projected decline in maize yield could be offset by early planting of seeds, lowering
the farm yard manure application rate, introducing supplementary irrigation and shifting to heat
tolerant varieties of maize.
different stations for three future time periods (2025s, 2055s and 2085s). AquaCrop 4.0 was used to project the
future paddy yield for the considered stations. Our results illustrate that climate change will elevate the
maximum and minimum temperatures for all the stations ranging from 1.60 to 2.65°C and 2.08 to 2.97°C
respectively for 2085s. An increase in average annual rainfall is also observed ranging from 8.8 to 35.3% for the
three stations for the corresponding time window. Simulation for rice productivity shows a decline of paddy
yield by -13.75 and -9.76% by 2085s relative to baseline climate for SA cropping season in case of A2 and B2
scenarios respectively. However, an increasing trend in paddy yield was observed in AW season with a boost of
12.5 and 8.12% for corresponding scenarios for period.
developed for two IPCC emission scenarios A2 and B2 based on the global climate model HadCM3 with downscaling of climate to finer spatial resolution using the statistical
downscaling model, SDSM. The impact study revealed that there is an expected reduction in maize yield of 12.8, 28.3 and 33.9% for the A2 scenario and 7.5, 19.9 and 29.9% for the B2
scenario during 2012-40, 2041-70 and 2071-99 respectively compared to the average yield simulated during the period of 1961-1990 with observed climate data. The maize yield of same variety under future climate can be maintained or improved from current level by changing planting dates, providing supplement irrigation and managing optimum nutrient.
different agro-adaptation measures to counteract its negative impacts at Sikkim, a Himalayan state of
India. Future climate scenarios for the 10 years centered on 2025, 2055 and 2085 were obtained by
downscaling the outputs of the HadCM3 General Circulation Model (GCM) under for A2 and B2
emission scenarios. HadCM3 was chosen after assessing the performance analysis of six GCMs for
the study region. The daily maximum and minimum temperatures are projected to rise in the future
and precipitation is projected to decrease (by 1.7 to 22.6% relative to the 1991–2000 baseline)
depending on the time period and scenarios considered. The crop simulation model CERES-Maize
was then used to simulate maize yield under future climate change for the future time windows.
Simulation results show that climate change could reduce maize productivity by 10.7–18.2%,
compared to baseline yield, under A2 and 6.4–12.4% under B2 scenarios. However, the results also
indicate that the projected decline in maize yield could be offset by early planting of seeds, lowering
the farm yard manure application rate, introducing supplementary irrigation and shifting to heat
tolerant varieties of maize.