Data from a literature synthesis (1966-2024) and bibliometric analysis on macrophyte and nature-based solutions

This dataset accompanies a paper submitted to L&O Letters entitled “Aquatic macrophytes as nature-based solutions: challenges and opportunities across inland and coastal waters” Abstract: Macrophytes are foundation species whose use as nature-based solution (NbS) in aquatic ecosystems can help mitigate biodiversity loss and attenuate the impacts of climate change. The discrepancy in research and application of macrophytes as NbS across inland and marine coastal ecosystems is an opportunity to expand the concept and learn from different approaches. We report on an initiative uniting marine and freshwater scientists that compared knowledge on macrophytes as NbS across realms, identified advances and gaps in their use, and synthesized challenges and opportunities for application. We conducted a bibliometric analysis, and an expert participatory exercise around recent review papers. We reveal that most NbS papers are marine-focused with distinct topics emphasized across realms, highlighting complementarity of expertise and potential extension to inland waters. We provide recommendations to encourage researchers and stakeholders to embrace the value of macrophytes across a broad range of contexts for a more sustainable future. The dataset includes the data output from Web of Science, the number of papers per year and realms, the keyword dataset used in the bibliometric analysis, and the recent reviews with the data extracted by authors and analyzed in the paper.本数据集配套一篇提交至L&O Letters的论文，论文标题为《水生大型植物作为基于自然的解决方案：内陆与近岸水域的挑战与机遇》。 摘要：大型水生植物是关键建群种，将其作为基于自然的解决方案（NbS）应用于水生生态系统，有助于减缓生物多样性丧失并缓解气候变化影响。当前内陆与海洋近岸生态系统中，大型水生植物作为NbS的研究与应用存在差异，这为拓展该理念并借鉴不同实践路径提供了契机。本研究介绍了一项联合海洋与淡水科学家的合作项目，该项目对比了不同生态域内大型水生植物作为NbS的相关研究认知，明确了其应用进展与现存短板，并梳理了应用层面的挑战与机遇。研究团队开展了文献计量分析，并围绕近期综述类论文开展了专家参与式研讨。研究结果显示，多数NbS相关论文聚焦海洋领域，且不同生态域的研究主题各有侧重，这凸显了跨领域专业知识的互补性，以及将研究成果拓展至内陆水域的潜力。本研究提出相关建议，旨在鼓励科研人员与利益相关方重视大型水生植物在多元场景中的应用价值，以助力构建更可持续的未来。 本数据集包含以下内容：Web of Science检索结果数据、按年度与生态域统计的论文数量、文献计量分析所用的关键词数据集，以及经研究团队提取数据并在论文中开展分析的近期综述文献。