Marine protected area and climate change: A mapping review

IF 7.3 2区环境科学与生态学 Q1 ECOLOGY Ecological Informatics Pub Date : 2025-01-22 DOI:10.1016/j.ecoinf.2025.103042

Chandra Segaran Thirukanthan , Parashuram Kallem , Idham Sumarto Pratama , Fathurrahman Lananan , Lee Seong Wei , Zulhisyam Abdul Kari , Huan Gao , Mohamad Nor Azra , Wan Izatul Asma Wan Talaat

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Abstract

This comprehensive scientometric analysis, utilizing CiteSpace and data from the Web of Science Core Collection, examines the trajectory of research on Marine Protected Areas (MPAs) in the context of climate change. Analysing 2782 articles and 117,904 cited references, the study observes a significant surge in publications between 2019 and 2023, with Australia, England and Canada as leading contributors. Our findings reveal key conceptual pillars such as ‘marine protected areas’, ‘climate change’, ‘conservation’, ‘management’, and ‘biodiversity’. The research domain is characterized by 10 major co-citation clusters, with a notable focus on “coral reefs”, “temperature-driven coral decline”, and “large MPAs”. The increasing citation frequency during 2020–2023, particularly in clusters related to coral reefs and regional studies, signals a heightened global awareness of MPAs' role in mitigating climate change impacts. This review provides essential insights, informing future directions for both academic research and policymaking in marine conservation amid ongoing climatic changes.

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海洋保护区与气候变化：制图综述

本文利用CiteSpace和Web of Science核心数据，对气候变化背景下海洋保护区（MPAs）的研究轨迹进行了全面的科学计量分析。该研究分析了2782篇文章和117904篇被引用的参考文献，发现2019年至2023年期间发表的论文数量大幅增加，其中澳大利亚、英国和加拿大是主要贡献者。我们的发现揭示了关键的概念支柱，如“海洋保护区”、“气候变化”、“保护”、“管理”和“生物多样性”。研究领域以10个主要共被引集群为特征，重点关注“珊瑚礁”、“温度驱动的珊瑚衰退”和“大型海洋保护区”。2020-2023年期间，特别是在与珊瑚礁和区域研究相关的集群中，引用频率不断增加，标志着全球对海洋保护区在缓解气候变化影响方面作用的认识有所提高。这篇综述为气候变化背景下海洋保护的学术研究和政策制定提供了重要的见解，为未来的方向指明了方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ecological Informatics 环境科学-生态学

CiteScore

8.30

自引率

11.80%

发文量

346

审稿时长

46 days

期刊介绍： The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.