Evolving patterns of agricultural production space in China: A network-based approach

Artikel

The agricultural production space, as where and how much each agricultural product grows, plays a vital role in meeting the increasing and diverse food demands. Previous studies on agricultural production patterns have predominantly centered on individual or specific crop types, using methods such as remote sensing or statistical metrological analysis. In this study, we characterize the agricultural production space (APS) by bipartite network connecting agricultural products and provinces, to reveal the relatedness between diverse agricultural products and the spatiotemporal characteristic of provincial production capabilities in China. The results show that core products are cereal, pork, melon, and pome fruit; meanwhile the milk, grape, and fiber crop show an upward trend in centrality, which is in line with diet structure changes in China over the past decades. The little changes in community components and structures of agricultural products and provinces reveal that agricultural production patterns in China are relatively stable. Additionally, identified provincial communities closely resemble China’s agricultural natural zones. Furthermore, the observed growth in production capabilities in North and Northeast China implies their potential focus areas for future agricultural production. Despite the superior production capabilities of southern provinces, recent years have witnessed a notable decline, warranting special attentions. The findings provide a comprehensive perspective for understanding the complex relationship of agricultural products’ relatedness, production capabilities and production patterns, which serve as a reference for the agricultural spatial optimization and agricultural sustainable development.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Journal: Geography and Sustainability ; ISSN: 2666-6839 ; Volume: 5 ; Year: 2024 ; Issue: 1 ; Pages: 121-134 ; Amsterdam: Elsevier

Klassifikation und Themen

• Klassifikation: Geografie, Reisen
• Thema: agricultural system ; complex network ; agricultural production space ; proximity matrix ; production capability

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Yang, Shuhui ; Li, Zhongkai ; Zhou, Jianlin ; Gao, Yancheng ; Cui, Xuefeng
• Ereignis: Veröffentlichung
• (wer): Elsevier
• (wo): Amsterdam
• (wann): 2024

Weitere Informationen

• DOI: doi:10.1016/j.geosus.2023.11.007
• Handle: http://hdl.handle.net/10419/281442
• Letzte Aktualisierung: 10.03.2025, 11:42 MEZ