基于VOSviewer的农业景观生态韧性研究进展
DOI:
作者:
作者单位:

河南大学地理科学与工程学部

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


Research Progress of Agricultural Landscape Ecological Resilience Based on VOSviewer
Author:
Affiliation:

1.Faculty of Geographical Science and Engineering,Henan University;2.College of Geographical Sciences,Faculty of Geographical Science and Engineering,Henan University

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 文章评论
    摘要:

    在全球粮食安全与气候变化背景下,农业景观生态韧性成为应对集约化农业生态退化、生物多样性丧失及生态系统服务波动的重要议题。利用VOSviewer开展可视化统计分析,总结了农业景观生态韧性研究的总体特征。结果表明:农业景观生态韧性研究发文量随年际变化逐渐上升,研究深度和广度不断扩展;研究热点集中于韧性、生物多样性、生态系统服务、景观等领域;国家间、机构间及作者间的合作网络松散。在此基础上,本文进一步梳理了农业景观生态韧性的相关进展,发现农业景观生态韧性多沿用传统社会—生态韧性理论框架;形成了生物多样性、生态系统服务与景观异质性影响下韧性的维持机制;其评估方法实现了由定性描述向定量分析、由静态指标向动态模拟的拓展;且以韧性为导向的农业景观适应性管理实践不断创新。但现有研究仍存在局限。本文针对未来农业景观生态韧性的研究提出如下建议:(1)构建兼顾景观特征与多尺度效应的新型理论框架;(2)整合多因子响应过程,解析农业管理措施等不同干扰通过空间重组与生物互作等过程重塑农业景观生态韧性的机制;(3)构建时空连续的长期监测体系,引入机器学习与景观基因组学等新技术,识别韧性阈值与稳态转换信号,发展高精度农业景观生态韧性评估模型;(4)强化绿色生产技术及经济激励机制研究,构建多主体协同治理体系以提升农业景观生态韧性的治理能力与实践效能。

    Abstract:

    Faced with global food security challenges and climate change, the agricultural landscape ecological resilience has emerged as a critical issue in addressing ecological degradation, biodiversity loss, and fluctuations in ecosystem services resulting from intensive agriculture. It offers a fresh perspective on balancing food production with the sustainable development of agricultural environments, serving as an essential tool for advancing food security and promoting sustainable agricultural practices. However, existing research lacks comprehensive analyses of the field's overall development trajectory, current status, research hotspots, and emerging trends. Therefore, this paper employs VOSviewer to conduct visual statistical analysis and summarizes the general characteristics of research on agricultural landscape ecological resilience. The results indicate that the volume of publications in this area has gradually increased over the years, with expanding depth and breadth of inquiry; research hotspots focus on resilience, biodiversity, ecosystem services, and landscape patterns; developed nations such as the United States and the United Kingdom lead in shaping research directions; and collaborative networks among countries, institutions, and authors remain relatively loose. Building on this foundation, this paper further reviews progress in the field of agricultural landscape ecological resilience. It finds that this area emerged relatively late and primarily adopts traditional socio-ecological resilience frameworks. Mechanisms for maintaining resilience have been established under the influences of biodiversity, ecosystem services, and landscape heterogeneity. Assessment methods have evolved from qualitative descriptions to quantitative analyses and from static indicators to dynamic simulations. Currently prevalent approaches include composite indicator methods, resilience substitution methods, and model simulation methods. Moreover, resilience-oriented adaptive management practices for agricultural landscapes are continually innovating to enhance the potential for sustainable agricultural development. However, existing research still has limitations. We propose the following recommendations for future research on the agricultural landscape ecological resilience: (1) Clarify the interactions and nested relationships among agricultural resilience at different scales, while constructing a new theoretical framework for ecological resilience in agricultural landscapes that integrates landscape characteristics and multi-scale effects; (2) Under various disturbances such as frequent extreme weather events, declining non-agricultural biodiversity, and diverse agricultural management practices, integrate multi-factor response processes to analyze how different disturbances reshape agricultural landscape ecological resilience through spatial reorganization and biological interactions; (3) Establish a spatiotemporally continuous long-term monitoring system, incorporate new technologies such as machine learning and landscape genomics to enhance the identification and quantification of resilience thresholds and signals for steady-state transitions, and develop high-precision assessment models for ecological resilience in agricultural landscapes; (4) Strengthen research on green production technologies and economic incentive mechanisms, while constructing a multi-stakeholder collaborative governance system to enhance the governance capacity and practical effectiveness of ecological resilience in agricultural landscapes.

    参考文献
    相似文献
    引证文献
引用本文

吴晓怡,梅 雨,丁圣彦.基于VOSviewer的农业景观生态韧性研究进展.生态学报,,(). http://dx. doi. org/[doi]

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数: