基于CiteSpace的降水对植物非结构性碳水化合物影响的可视化分析

doi:10.12118/j.issn.1000－6060.2025.325

摘要/Abstract

摘要：

在全球气候变化背景下，降水模式的改变显著影响了植物非结构性碳水化合物（NSC）的动态平衡，进而对植物碳代谢与生态系统功能产生深远影响。基于Web of Science（WOS）核心数据库，利用CiteSpace软件对1999—2024年288篇相关文献进行多维度可视化分析，系统梳理该领域的研究热点、知识结构及发展趋势。结果表明：（1）相关研究发文量呈持续增长趋势，核心期刊以“Tree Physiology”期刊为主导，中国和美国为该领域的研究核心，发文量分别位居前两位。（2）关键词聚类中气候变化、干旱胁迫、碳分配为核心主题，NSC动态与植物渗透调节、光合作用关联紧密。（3）技术方法上，碳同位素示踪与等水行为分析方法推动了水分限制下NSC分配机制的研究。未来需关注多尺度降水变异与CO₂、氮沉降的交互作用，深化生态系统尺度NSC动态与碳平衡研究，为气候变化应对提供理论支撑。

关键词: 非结构性碳水化合物（NSC）, 降水格局, 可视化分析, 碳分配

Abstract:

Under the global climate change context, alterations to precipitation patterns have significantly affected the dynamic balance of non-structural carbohydrates (NSC) in plants, thereby exerting a profound impact on plant carbon metabolism and ecosystem functions. Based on the Web of Science core database, the CiteSpace software was used to perform a multidimensional visual analysis of 288 related studies published from 1999 to 2024, systematically sorting out the research hotspots, knowledge structure, and development trends in this field. Results showed that (1) The number of related published papers exhibits a continuous growth trend. The core journals are dominated by the “Tree Physiology” journal. China and the United States emerged as the research cores in this field, which are respectively ranked first and second in terms of the number of published papers. (2) Climate change, drought stress, and carbon allocation are the core themes in keyword clustering, whereas NSC dynamics are closely linked to osmotic regulation and photosynthesis in plants. (3) Regarding technical methods, carbon isotope tracing and isohydration behavior analysis have promoted research on NSC distribution mechanisms under water limitation. In the future, it is essential to focus on the interaction between multiscale precipitation variation and CO₂ and nitrogen deposition, expand research on NSC dynamics and carbon balance at the ecosystem scale, and provide theoretical support for climate change response.

Key words: non-structural carbohydrates (NSC), precipitation patterns, visual analysis, carbon allocation

张亚茹, 何莹莹, 于明含, 吴浩, 郑翔, 张萍. 基于CiteSpace的降水对植物非结构性碳水化合物影响的可视化分析[J]. 干旱区地理, 2026, 49(3): 521-533.

ZHANG Yaru, HE Yingying, YU Minghan, WU Hao, ZHENG Xiang, ZHANG Ping. Visual analysis of the effects of precipitation on non-structural carbohydrate in plants based on CiteSpace[J]. Arid Land Geography, 2026, 49(3): 521-533.

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