A case study on the impacts of future climate change on soybean yield and countermeasures in Fujin city of Heilongjiang province, China

Abstract

Global climate change poses a great impact on crop growth, development and yield. Soybean production in Northeast China, which is one of the traditional dominant soybean production areas in China, is of great significance for developing the domestic soybean industry and reducing dependence on imported soybeans. Therefore, it is crucial to evaluate the impacts of future climate change on soybean yield in Northeast China, and to propose reasonable adaptation measures. In this study, we took Fujin city of Heilongjiang province in Northeast China as an example, and used the CROPGRO-soybean model in DSSAT (Decision Support System for Agrotechnology Transfer) to simulate the impacts of future climate change on soybean yield in the four periods of the 2020s (2021-2030), 2030s (2031-2040), 2040s (2041-2050) and 2050s (2051-2060) under two representative concentration pathway (RCP) scenarios (RCP4.5 and RCP8.5), and further determine the best agronomic management practices. The results showed that the calibrated and validated model is suitable for simulating soybean in the study area. By analyzing the meteorological data under future climate scenarios RCP4.5 and RCP8.5 from the PRECIS regional climate model, we found that the average temperature, cumulative precipitation and cumulative solar radiation would mostly increase during the growing season in Fujin city of Heilongjiang province. Combined with the model simulation results, it is shown that under the effect of CO2 fertilization, future climate change will have a positive impact on soybean yield. Compared to the baseline (1986-2005), the soybean yield would increase by 0.6% (7.4%), 3.3% (5.1%), 6.0% (16.8%) and 12.3% (20.6%) in the 2020s, 2030s, 2040s and 2050s under RCP4.5 (RCP8.5).Moreover, the optimal sowing dates and the optimal supplemental irrigation amount under RCP4.5 (RCP8.5) are May 10 (May 5) and 50 mm (40mm), respectively. Under future climate conditions, the agronomic management practices, such as advancing the sowing date and supplementary irrigation in the key stage of soybean growth would increase soybean yield and make soybean growth more adaptable to future climate change.

Dynamical Downscaling of Daily Extreme Temperatures over China Using PRECIS Model

“…Wang et al [12] filled the gap in highresolution regional climate change research in eastern Canada for the 21st century under three emission scenarios, RCP2.6, RCP4.5, and RCP8.5, using the PRECIS regional climate model. Li et al [13] used meteorological data generated by the PRECIS regional climate model under RCP4.5 and RCP8.5 scenarios to assess the impact of future climate change on soybean yield in Northeast China. Using the PRECIS regional climate model projections of daily maximum and minimum temperatures and precipitation to drive the Variable Infiltration Capacity (VIC) hydrological model, Lu et al [14] examined changes in mean monthly and annual runoff and the occurrence of extreme events including floods and droughts across the region over the next two periods (2001-2030 and 2016-2045).…”