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Internet scientific name frequency as an indicator of cultural salience of biodiversity

机译:互联网科学名称的频率是生物多样性的文化显着性的指标

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摘要

Public interest in nature is an important driver of the success of conservation actions, such that increasing public awareness of biodiversity has become a major conservation goal (i.e. Aichi Target 1). Macro-scale monitoring of public interest towards nature has thus far been difficult, but the enormous quantity of information generated by the intemet allows for new approaches using culturomic techniques. For example, other things being equal, we would expect that the vernacular (common) names of charismatic species with high levels of public interest (e.g. tiger, elephant) to appear on more web-pages than less 'cultural' species. Nevertheless, deriving metrics from such data is challenging because vernacular names often have multiple meanings (e.g. teal, jaguar) that could significantly bias culturomic metrics of cultural visibility. Scientific binomial names of species potentially avoid this problem because Latin is a 'dead' language and the scientific name typically applies only to the biological organism. Here, we investigate whether standard scientific names: i) are a robust proxy of web salience of vernacular species names, and; ii) have the same statistical relationship with vernacular species names across different cultural and language groups. Automated internet searches were carried out for scientific and vernacular names from a global bird species list and six national bird species lists (Australia, Brazil, Indonesia, Spain, Tanzania and USA). For national searches the results were restricted to country web domains. We found strong and consistent correlations between vernacular and scientific species names at both global and country level, independent of language and cultural differences. The universality of this relationship suggests that the web salience of scientific species names is a robust, cross-cultural indicator of species 'culturalness'. Potential applications of this indicator include: i) the development of new indicators to assess public perceptions of biodiversity; ii) systematic identification of species with high cultural visibility; iii) empirical identification of the biogeographic, ecological, morphological and cultural characteristics of species that influence cultural visibility, globally and in different cultural settings, and; iv) near real-time monitoring of changes in species 'culturalness'. The capture and processing of internet data is technically non-trivial, but can be replicated at low cost and has enormous potential for the creation of new macro-scale metrics of human-nature interactions. (C) 2017 Elsevier Ltd. All rights reserved.
机译:公众对自然的关注是保护行动成功的重要推动力,因此,提高公众对生物多样性的认识已成为一项主要的保护目标(即爱知指标1)。迄今为止,对大自然对公共利益的宏观监测一直很困难,但是,互联网产生的大量信息允许使用文化学技术采取新方法。例如,在其他条件相同的情况下,我们希望具有较高公共利益水平的超凡魅力物种的白话(通用)名称(而不是“文化”物种)出现在更多的网页上。然而,从这样的数据中得出度量标准是具有挑战性的,因为白话名字通常具有多种含义(例如,蓝绿色,美洲虎),这可能会严重影响文化知名度的文化度量标准。物种的科学二项式名称可能会避免此问题,因为拉丁语是一种“死”语言,而科学名称通常仅适用于生物体。在这里,我们研究标准的科学名称是否:i)是白话物种名称的网络显着性的可靠替代;以及ii)与跨不同文化和语言群体的本土物种名称具有相同的统计关系。从全球鸟类物种清单和六个国家鸟类物种清单(澳大利亚,巴西,印度尼西亚,西班牙,坦桑尼亚和美国)进行了自动互联网搜索,以查找科学名称和当地名称。对于国家搜索,结果仅限于国家/地区网域。我们发现在全球和国家/地区层面上,无论语言和文化差异如何,本土和科学物种名称之间都存在着强而一致的关联。这种关系的普遍性表明,科学物种名称的网络显着性是物种“文化性”的强有力的,跨文化的指标。该指标的潜在应用包括:i)开发新的指标以评估公众对生物多样性的看法; ii)系统地识别具有较高文化知名度的物种; iii)对全球和不同文化背景下影响文化知名度的物种的生物地理,生态,形态和文化特征进行实证鉴定;以及iv)近实时监测物种“文化”的变化。互联网数据的捕获和处理在技术上并不简单,但是可以低成本复制,并且对于创建新的人与自然互动的宏观尺度具有巨大的潜力。 (C)2017 Elsevier Ltd.保留所有权利。

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