Sun Haowei, Ma Jinghan, Wang Li
College of Natural Resources and Environment, Northwest A&F University, Yangling, 712100 China.
State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling, 712100 China.
Food Secur. 2023;15(3):597-612. doi: 10.1007/s12571-023-01351-x. Epub 2023 Mar 23.
To address challenges associated with climate change, population growth and decline in international trade linked to the COVID-19 pandemic, determining whether national crop production can meet populations' requirements and contribute to socio-economic resilience is crucial. Three crop models and three global climate models were used in conjunction with predicted population changes. Compared with wheat production in 2000-2010, total production and per capita wheat production were significantly (P < 0.05) increase in 2020-2030, 2030-2040 and 2040-2050, respectively, under RCP4.5 and RCP8.5 due to climate change in China. However, when considering population and climate changes, the predicted per capita production values were 125.3 ± 0.3, 127.1 ± 2.3 and 128.8 ± 2.7 kg during the 2020-2030, 2030-2040, 2040-2050 periods under RCP4.5, or 126.2 ± 0.7, 128.7 ± 2.5, and 131.0 ± 4.1 kg, respectively, under RCP8.5. These values do not significantly differ (P > 0.05) from the baseline level (127.9 ± 1.3 kg). The average per capita production in Loess Plateau and Gansu-Xinjiang subregions declined. In contrast, per capita production in the Huanghuai, Southwestern China, and Middle-Lower Yangtze Valleys subregions increased. The results suggest that climate change will increase total wheat production in China, but population change will partly offset the benefits to the grain market. In addition, domestic grain trade will be influenced by both climate and population changes. Wheat supply capacity will decline in the main supply areas. Further research is required to address effects of the changes on more crops and in more countries to obtain deeper understanding of the implications of climate change and population growth for global food production and assist formulation of robust policies to enhance food security.
The online version contains supplementary material available at 10.1007/s12571-023-01351-x.
为应对与气候变化、人口增长以及与新冠疫情相关的国际贸易下滑有关的挑战,确定国家作物产量能否满足人口需求并促进社会经济恢复力至关重要。结合预测的人口变化,使用了三种作物模型和三种全球气候模型。与2000 - 2010年的小麦产量相比,由于中国气候变化,在代表性浓度路径4.5(RCP4.5)和代表性浓度路径8.5(RCP8.5)情景下,2020 - 2030年、2030 - 2040年和2040 - 2050年的总产量和人均小麦产量分别显著增加(P < 0.05)。然而,在考虑人口和气候变化时,在RCP4.5情景下,2020 - 2030年、2030 - 2040年、2040 - 2050年期间预测的人均产量值分别为125.3 ± 0.3、127.1 ± 2.3和128.8 ± 2.7千克;在RCP8.5情景下,分别为126.2 ± 0.7、128.7 ± 2.5和131.0 ± 4.1千克。这些值与基线水平(127.9 ± 1.3千克)无显著差异(P > 0.05)。黄土高原和甘肃 - 新疆次区域的人均产量平均下降。相比之下,黄淮、中国西南和长江中下游次区域的人均产量增加。结果表明,气候变化将增加中国小麦总产量,但人口变化将部分抵消对粮食市场的益处。此外,国内粮食贸易将受到气候和人口变化的影响。主要供应地区的小麦供应能力将下降。需要进一步研究这些变化对更多作物和更多国家的影响,以更深入了解气候变化和人口增长对全球粮食生产的影响,并协助制定有力政策以加强粮食安全。
在线版本包含可在10.1007/s12571 - 023 - 01351 - x获取的补充材料。