Isaac Maxim, Fukushima Caroline S, Macura Biljana, Di Minin Enrico, Correia Ricardo A
Biodiversity Unit, University of Turku, Turku, 20014, Finland.
Helsinki Lab of Interdisciplinary Conservation Science (HELICS), Department of Geosciences and Geography, University of Helsinki, Helsinki, 00014, Finland.
Environ Evid. 2024 Dec 4;13(1):29. doi: 10.1186/s13750-024-00353-2.
The extinction of species is a multifaceted phenomenon shaped by the complex interplay between biological and socio-cultural factors. Public and academic preferences for different species often play a direct or indirect role in influencing the conservation outlook of these species. The "charisma" of species and other components of biodiversity is often mentioned as an important factor in shaping human preferences, determining both the scope of scientific studies and justifications for such scope. Here, we present a protocol for systematically mapping the use of the concept of "charisma" in relation to biodiversity peer-reviewed academic literature focused on biodiversity conservation.
The search targeting academic peer-reviewed research articles and reviews will be conducted in three publication databases, The Lens, Scopus and Web of Science (Core Collection and SciELO), and will be supplemented by search engine results from Google Scholar. Broad-scope searches will be performed in 3 different languages (English, Portuguese, and Spanish) and article screening will be performed at two stages to ensure the relevance of each entry and consistency amongst reviewers in their use of the defined inclusion criteria. The resulting systematic map of the literature will be summarised by employing a narrative synthesis approach, and through descriptive statistics and analysis of temporal trends.
物种灭绝是一个多方面的现象,由生物和社会文化因素之间的复杂相互作用所塑造。公众和学术界对不同物种的偏好往往在影响这些物种的保护前景方面发挥直接或间接作用。物种的“魅力”以及生物多样性的其他组成部分常被提及为塑造人类偏好的重要因素,它既决定了科学研究的范围,也决定了该范围的合理性。在此,我们提出一项方案,用于系统地梳理与聚焦生物多样性保护的同行评议学术文献中“魅力”概念的使用情况。
针对学术同行评议研究文章和综述的检索将在三个出版物数据库(The Lens、Scopus和Web of Science核心合集及SciELO)中进行,并辅以谷歌学术搜索引擎的结果。将以三种不同语言(英语、葡萄牙语和西班牙语)进行广泛检索,文章筛选将分两个阶段进行,以确保每个条目的相关性以及评审人员在使用既定纳入标准方面的一致性。所得文献的系统图谱将采用叙述性综合方法,并通过描述性统计和时间趋势分析进行总结。