气候变化将如何影响 2030 年全球四种主要粮食作物的潜在产量?
How does climate change affect potential yields of four staple grain crops worldwide by 2030?
机构信息
Economic Institute, Guizhou University of Finance and Economics, Guiyang, China.
School of Foreign Languages, Guizhou University of Finance and Economics, Guiyang, China.
出版信息
PLoS One. 2024 May 31;19(5):e0303857. doi: 10.1371/journal.pone.0303857. eCollection 2024.
Global food security basically depends on potential yields of staple grain crops worldwide, especially under climate change. However, most scholars use various models of production function in which climatic factors are often considered to estimate crop yield mostly at local or regional level. Therefore, in this paper: Potential yields of rice, wheat, maize and soybean worldwide by 2030 are projected creatively using Auto-regressive Integrated Moving Average and Trend Regressed (ARIMA-TR) model in which actual yields in recent two years are used for testing the reliability of projection and Gray System (GS) model for validating the test; Especially individual impacts of climate change on the productions of rice, wheat, maize and soybean worldwide since 1961 are analyzed by using unary regression model in which global mean temperature and land precipitation are independent variable while the yield of crop being dependent one, respectively. Results show that: by 2030, the ratio between average and top yields of world rice is projected to be 50.6% increasing, while those of world wheat, world maize and world soybean are projected to be 38.0% increasing, 14.7% decreasing and 72.5% increasing, respectively. Since 1961 global warming has exerted a negative impact on average yield of world rice less than on its top, a positive effect on average yield of world wheat while a negative impact on its top, a positive effect on average yield of world maize less than on its top, and a positive influence on average yield of world soybean while a negative one on its top, which might be slightly mitigated by 'Carbon Peak' target. The fluctuation of global rainfall contributes to the productions of these crops much less than global warming during same period. Our findings indicate that: to improve global production of four staple grain crops by 2030, the priorities of input should be given to either rice or wheat in both high and low yield countries, whereas to maize in high yield countries and to soybean in low yield countries. These insights highlight some difference from previous studies, and provide academia with innovative comprehension and policy-decision makers with supportive information on sustainable production of these four staple grain crops for global food security under climate change in the future.
全球粮食安全基本上取决于全球主要粮食作物的潜在产量,尤其是在气候变化的情况下。然而,大多数学者使用各种生产函数模型,这些模型通常将气候因素考虑在内,以在局部或区域层面上估算作物产量。因此,在本文中:创造性地使用自回归综合移动平均和趋势回归(ARIMA-TR)模型,预测 2030 年全球水稻、小麦、玉米和大豆的潜在产量,其中最近两年的实际产量用于测试预测的可靠性,灰色系统(GS)模型用于验证测试;特别是使用一元回归模型分析自 1961 年以来气候变化对全球水稻、小麦、玉米和大豆产量的个别影响,其中全球平均气温和陆地降水量是独立变量,作物产量是依赖变量。结果表明:到 2030 年,全球水稻平均和最高产量的比例预计将增加 50.6%,而全球小麦、全球玉米和全球大豆的产量预计将分别增加 38.0%、减少 14.7%和增加 72.5%。自 1961 年以来,全球变暖对全球水稻平均产量的负面影响小于对其最高产量的负面影响,对全球小麦平均产量的正面影响大于对其最高产量的负面影响,对全球玉米平均产量的正面影响小于对其最高产量的负面影响,对全球大豆平均产量的正面影响大于对其最高产量的负面影响,而这一负面影响可能会因“碳达峰”目标而略有缓解。同期,全球降雨的波动对这些作物的产量影响远小于全球变暖。我们的研究结果表明:为了提高 2030 年全球四大主要粮食作物的产量,高、低产国应优先考虑水稻或小麦,而高产国应优先考虑玉米,低产国应优先考虑大豆。这些发现与以往的研究略有不同,为学术界提供了对未来气候变化下全球粮食安全的四大主要粮食作物可持续生产的创新理解,为决策者提供了支持信息。