Who notices Gymnophiona? Google Trends data reveal interesting trends for recent amphibian species

IF 3.1 3区 环境科学与生态学 Q2 ECOLOGY
Branden Holmes , Janine M. Ziermann , Artur Strzelecki , Steffen Springer , Michael Zieger
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引用次数: 0

Abstract

Gymnophiona (caecilians) are inconspicuous, wormlike amphibians that are often hidden from human sight due to their aquatic or fossorial lifestyles. While Google Trends data have been widely used within conservation biology to provide information about the relative interest in species, and therefore of their flagship-making potential, as well as to identify current taxonomic biases. This study aimed to evaluate public interest in amphibians, with a particular focus on caecilians, and possible taxonomic biases of and within the class Amphibia. Google Trends data from amphibians, reptiles (sauropsids, excluding aves), and fishes (chondrichthyans + osteichthyans, excluding tetrapods) were analyzed and compared. In addition, a framework for a representation index and web representation index is presented. The introduced relative representation index was able to confirm taxonomic bias concerning Amphibia. Differences in worldwide public interest could also be evaluated within amphibians, indicating severe underrepresentation in public interest for caecilians.

Abstract Image

谁会注意到 Gymnophiona?谷歌趋势数据揭示了近期两栖动物物种的有趣趋势
裸盖虫是一种不起眼的蠕虫状两栖动物,由于其水生或穴居生活方式,它们通常不为人类所见。谷歌趋势数据已被广泛应用于保护生物学领域,以提供有关物种相对兴趣的信息,从而了解物种的旗舰潜力,并识别当前的分类偏差。本研究旨在评估公众对两栖动物的兴趣,尤其是对盲鳗的兴趣,以及对两栖类可能存在的分类偏差。研究分析并比较了两栖类、爬行类(蜥形类,不包括鸟类)和鱼类(软骨鱼类+骨鱼类,不包括四足类)的谷歌趋势数据。此外,还提出了代表性指数和网络代表性指数的框架。引入的相对代表性指数能够确认两栖类的分类偏差。在两栖类中,也可以评估世界范围内公众兴趣的差异,这表明公众对无尾类的兴趣严重不足。
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来源期刊
Ecological Complexity
Ecological Complexity 环境科学-生态学
CiteScore
7.10
自引率
0.00%
发文量
24
审稿时长
3 months
期刊介绍: Ecological Complexity is an international journal devoted to the publication of high quality, peer-reviewed articles on all aspects of biocomplexity in the environment, theoretical ecology, and special issues on topics of current interest. The scope of the journal is wide and interdisciplinary with an integrated and quantitative approach. The journal particularly encourages submission of papers that integrate natural and social processes at appropriately broad spatio-temporal scales. Ecological Complexity will publish research into the following areas: • All aspects of biocomplexity in the environment and theoretical ecology • Ecosystems and biospheres as complex adaptive systems • Self-organization of spatially extended ecosystems • Emergent properties and structures of complex ecosystems • Ecological pattern formation in space and time • The role of biophysical constraints and evolutionary attractors on species assemblages • Ecological scaling (scale invariance, scale covariance and across scale dynamics), allometry, and hierarchy theory • Ecological topology and networks • Studies towards an ecology of complex systems • Complex systems approaches for the study of dynamic human-environment interactions • Using knowledge of nonlinear phenomena to better guide policy development for adaptation strategies and mitigation to environmental change • New tools and methods for studying ecological complexity
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