Socio-ecological research enlists inter- and transdisciplinarity to address complex environmental issues. Yet the “socio-ecological system” concept can be interpreted in many different ways. A characterization of the diverse practices in socio-ecological research could facilitate dialogue between researchers about the possible conceptual and ethical approaches. In this study, we investigated if a detailed analysis of scientific articles would reveal the nature and course of a socio-ecological research network, and the research angle of its members. The example we used was the Rhône River Long-Term Socio-Ecological Research (LTSER) platform in France. We combined a multivariate analysis of a reading grid of publications by Rhône River LTSER researchers and a textual analysis of the scientific narratives. The publications were from a 10-year period and corresponded to those used in a recent international comparative analysis of LTSER platforms. The analysis revealed that the research was dominated by a biophysical approach, with a progressive increase in social aspects. The emergence of a transdisciplinary approach, co-constructed with operational partners, was also shown. The research conducted by the Rhône River LTSER was grounded in the context of managing a river with strong anthropic influences and interests, and the scientific approach aimed to provide knowledge for guiding decisions. Little referencfte was made in the publications to socio-ecological conceptual frameworks. Beyond the example of this LTSER platform, we identified indicators for describing the degree of inter- and transdisciplinarity and the different perceptions of socio-ecological systems. The narrative analysis revealed the angle of the research approach; this method could be used in future studies for a comparison of the diverse approaches of multiple research groups.

中文翻译：

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出版物揭示了社会生态研究是如何实施的：罗讷长期社会生态研究平台的经验教训

社会生态研究需要跨学科和跨学科来解决复杂的环境问题。然而，“社会生态系统”概念可以有多种不同的解释。社会生态研究中不同实践的表征可以促进研究人员之间关于可能的概念和伦理方法的对话。在这项研究中，我们调查了对科学文章的详细分析是否能够揭示社会生态研究网络的性质和进程，以及其成员的研究角度。我们使用的例子是法国罗纳河长期社会生态研究（LTSER）平台。我们将对罗纳河 LTSER 研究人员的出版物阅读网格进行多变量分析，并结合对科学叙述的文本分析。这些出版物来自 10 年期间，与最近 LTSER 平台国际比较分析中使用的出版物相对应。分析显示，该研究以生物物理方法为主，社会方面的研究逐渐增多。还展示了与业务合作伙伴共同构建的跨学科方法的出现。罗纳河 LTSER 进行的研究以管理具有强烈人类影响和利益的河流为背景，科学方法旨在为指导决策提供知识。出版物中很少提及社会生态概念框架。除了这个 LTSER 平台的例子之外，我们还确定了描述跨学科程度以及社会生态系统不同认知的指标。叙事分析揭示了研究方法的角度；该方法可用于未来的研究，以比较多个研究小组的不同方法。