基于文献计量的放牧对草地植物-土壤互作关系的影响
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1.宁夏大学;2.内蒙古自治区林业科学研究院内蒙古鄂尔多斯森林生态系统国家定位观测研究站

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国家自然科学基金项目(32360280;32001117);2023年自治区全职引进高层次人才科研启动项目(2023BSB03022);内蒙古自治区林业科学研究院开放课题(KF2024MS05);“三北”工程区林草生态产业模式研究与示范(2024NLTS05);第七批宁夏自治区青年科技人才托举工程


Research on the Impact of Grazing on Grassland Plant-Soil Interactions Based on Bibliometrics
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    摘要:

    [目的]放牧作为草地资源利用的一种主要方式,是影响植物与土壤互作关系的重要驱动因素。系统认识放牧对草地生态系统植物-土壤互作关系影响的研究热点和发展趋势脉络,可为草地生态学未来发展方向提供参考依据。[方法]基于R语言、Citespace和VOSviewer软件,分析了2000-2023年间Web of Science和中国知网(CNKI)数据库中甄别的10809篇文献。[结果]国内外在该领域的发文量整体呈增长趋势,研究热点主要聚焦放牧管理对气候敏感区草地植被群落特征与土壤循环功能的影响,研究视角逐渐从基于传统植物群落-种群-个体生态学调查研究放牧强度、气候变化对草地生态系统的复杂作用机制,拓展至生态系统繁殖更新及碳平衡特征,最终延伸至基于多因素交互作用的脆弱生态系统优化管理模式研究上,这一转变标志着草地生态学研究的结构层次逐步从宏观到更细致的微观层面推进。[结论]未来应多借鉴同类领域的前沿研究方法,加大对跨尺度、多模式交互作用对生态系统复杂影响机制的研究,将小尺度的试验结果与区域或全球尺度生态模型相结合,重点关注多维度、多尺度、多因素对地上与地下生态过程联动的影响,以推动生态系统管理和保护策略的优化。

    Abstract:

    [Objective] Grazing, as a major method of utilizing grassland resources, is an important driving factor affecting the interaction between plants and soil. A systematic understanding of the research hotspots and development trends related to the impact of grazing on plant-soil interaction in grassland ecosystems can provide valuable reference for the future direction of grassland ecology.[Methods] Based on R language, Citespace, and VOSviewer software, 10,809 articles from Web of Science and CNKI (China National Knowledge Infrastructure) databases published between 2000 and 2023 were analyzed.[Results] The overall publication volume in this field has shown an increasing trend. The research hotspots mainly focus on the impact of grazing management on vegetation community characteristics and soil cycling functions in climate-sensitive grassland areas. The research perspective has gradually shifted from traditional ecological investigations of plant communities, populations, and individual ecology under varying grazing intensities to exploring the complex mechanisms of grazing and climate change on grassland ecosystems. This has extended to studies on ecosystem regeneration, carbon balance characteristics, and ultimately to the development of ecosystem optimization management models based on multi-factor interactions. This shift marks a transition in grassland ecology research from macro-level to more detailed micro-level approaches.[Conclusion] Future research should draw on advanced methods from related fields and strengthen studies on the complex mechanisms of cross-scale, multi-model interactions on ecosystems. It is essential to integrate small-scale experimental results with regional or global ecological models and focus on the influence of multidimensional, multiscale, and multifactorial interactions on both aboveground and underground ecological processes to promote the optimization of ecosystem management and conservation strategies.

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  • 收稿日期:2024-07-17
  • 最后修改日期:2025-01-27
  • 录用日期:2025-02-07
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