Abstract
The Fifth Assessment Report of the Intergovernmental Panel on Climate change (IPCC) shows that climate change poses severe risks to the Belt and Road region and could cut future crop production. Identifying the positions and features of hotspots, which refer to regions with severe yield loss at 1.5 °C global warming, is the key to developing proper mitigation and adaptation policies to ensure regional food security. This study examined yield loss hotspots of four crops (maize, rice, soybean and wheat) at 1.5 °C global warming under RCP8.5. Yield data were derived from simulations of multiple climate-crop model ensembles from the Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP). Hotspots were identified by setting a threshold of the 10th percentile of crop yields during the reference period (1986–2005). To quantify the likelihood of crop yield loss hotspots within multi-model ensembles, the agreement of model combinations for hotspots was calculated for each crop at the grid scale with 0.5° × 0.5° spatial resolution. Results revealed spatial heterogeneity of cultivation structure and hotspot likelihood for four crops. The four crops’ production of SA (South Asia) and SEA (Southeast Asia) accounts for more than 40% of the total production in the Belt and Road region, roughly four times the amount produced in CEE (Central and Eastern Europe) and NEA (Northeast Asia). Besides, the hotspots likelihood of maize, rice and soybean is generally larger in SA/SEA than that in CEE/NEA which means the risk of yield reduction is higher in the current main agricultural area. According to IPCC’s classification rules for likelihood, four crops’ hotspot patterns were displayed under the 1.5 °C global warming. As the highest-yielding crop, maize shows the largest proportion of “likely” hotspots (hotspot likelihood > 66%), which is about 6.48%, accounting for more than four times that of the other three crops. In addition, four crops’ hotspots are mainly distributed in SEA and SA. Overall, SEA and SA are vulnerable subregions and maize is the vulnerable crop of the Belt and Road region. Our results could provide information on target areas where mitigation or adaptations are needed to reduce the adverse influence of climate change in the agricultural system.
Highlights
The Belt and Road is a global initiative led by the Chinese government to promote win-win international cooperation in the new era
We evaluated yield loss hotspots of four main crops separately using the results of Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP) multi-model ensembles in the 65 terrestrial countries of the Belt and Road under 1.5 ◦C global warming
Using the multi-model simulated results of crop yields provided by ISI-MIP, this article explored the features of cultivation, crop hotspots and the patterns of four crops in 65 countries of the Belt and Road under 1.5 ◦C global warming by a threshold of historical yield distribution and model agreement of multi-model ensembles
Summary
The Belt and Road is a global initiative led by the Chinese government to promote win-win international cooperation in the new era. According to the fifth assessment report (AR5) of the Intergovernmental Panel on Climate change (IPCC), most regions along the Belt and Road would experience a significant temperature increase by the end of the 21st century (2081–2100), which will be higher than the global average. Countries along the Belt and Road would face a higher level of warming risk than the global average, especially for those underdeveloped countries with large populations. The Paris Agreement sets a target to limit global mean temperature to “well below 2 ◦C” above pre-industrial levels and to pursue efforts to limit it to 1.5 ◦C by the end of this century, considering that 1.5 ◦C warming would significantly reduce climate change risks. 1.5 ◦C warming has become an important target for climate change studies
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.