Research Institute of Management Science, Business School, Hohai University, Nanjing, 211100, China; State Key Laboratory of Hydrology Water Resource and Hydraulic Engineering, Hohai University, Nanjing, 210098, China; CSIRO Environment, EcoSciences Precinct, 41 Boggo Road, Dutton Park, Brisbane, QLD, 4102, Australia.
Research Institute of Management Science, Business School, Hohai University, Nanjing, 211100, China; State Key Laboratory of Hydrology Water Resource and Hydraulic Engineering, Hohai University, Nanjing, 210098, China.
J Environ Manage. 2023 Oct 15;344:118401. doi: 10.1016/j.jenvman.2023.118401. Epub 2023 Jun 24.
As the requirements for environmental protection and high-efficiency economies increase, grain production (GP) across the globe faces more stringent ecological constraints and economic pressure. Understanding the relationships between natural resources and economic and agricultural factors in grain-producing regions is paramount for ensuring global food security. This paper proposes a methodological framework to explore the relationships between water and soil resources (WSRs), economic input factors (EIFs), and GP. We employed the northeast region of China as a case study to advance our understanding of the factors driving the development of grain-producing capacity. We first constructed and calculated the region's water and soil comprehensive index (WSCI) to describe water-soil properties. We then used hotspot analysis to explore the spatial agglomeration characteristics of WSRs, EIFs, and GP. Finally, we used threshold regression analysis to understand the effects of EIFs and GP with the WSCI as the threshold variable. With the improvement of the WSCI, the positive impact of fertilizer and irrigation on GP shows a U-shaped curve in elasticity coefficients. The positive effect of agricultural machinery on GP decreases significantly, and the impact of labor input on GP is insignificant. These results provide new insights into the relationship between WSRs, EIFs, and GP and a reference for improving GP efficiency globally. This work thus contributes to advancing our capabilities to enable food security while considering aspects of sustainable agriculture in important grain-producing regions across the globe.
随着环境保护和高效经济的要求不断提高,全球粮食生产面临着更加严格的生态约束和经济压力。了解粮食产区自然资源与经济和农业因素之间的关系,对于确保全球粮食安全至关重要。本文提出了一种方法框架,以探讨水土资源(WSRs)、经济投入因素(EIFs)和粮食生产之间的关系。我们以中国东北地区为例,深入了解驱动粮食生产能力发展的因素。我们首先构建并计算了该地区的水土综合指数(WSCI),以描述水土特性。然后,我们使用热点分析来探索 WSRs、EIFs 和 GP 的空间集聚特征。最后,我们使用门限回归分析来理解 EIFs 和 GP 对 WSCI 的影响,其中 WSCI 作为门限变量。随着 WSCI 的提高,肥料和灌溉对 GP 的正向影响在弹性系数上呈现出 U 型曲线。农业机械对 GP 的正向影响显著下降,劳动力投入对 GP 的影响不显著。这些结果为 WSRs、EIFs 和 GP 之间的关系提供了新的见解,为提高全球粮食生产效率提供了参考。这项工作有助于提高我们在全球重要粮食产区实现粮食安全的同时兼顾可持续农业的能力。