地球健康状况恶化是相机捕捉研究的驱动力:科学网数据库的启示

IF 5.8 2区 环境科学与生态学 Q1 ECOLOGY
Thakur Dhakal , Tae-Su Kim , Seong-Hyeon Kim , Shraddha Tiwari , Seung-Hyun Woo , Do-Hun Lee , Gab-Sue Jang
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引用次数: 0

摘要

行星健康对人类福祉、生态系统可持续性和生物多样性保护至关重要。在这方面,相机陷阱是监测生物多样性的有效遥感工具。鉴于了解生物多样性模式和趋势的重要性与日俱增,本研究探讨了影响相机陷阱研究的可能因素,并从科学网(WoS)索引的 2377 篇出版物中提供了文献计量学见解。为了探索相机陷阱研究增长的潜在驱动因素,我们使用了一个基于特定变量的逻辑模型,这些变量包括全球国内生产总值、气温增长、地球健康指标--地球生命指数下降以及人类人口增长。结果表明,生命星球指数在统计学上对相机捕捉研究的增长具有显著的推动作用(p 值为 0.01),这表明对其他生物的好奇心影响着研究的发展。通过文献计量分析,我们发现相机陷阱研究主要在美国进行,其次是英国和澳大利亚,近年来呈明显上升趋势。这些研究与可持续发展目标 15(陆地生命)相一致,在 WoS 中主要归入生态学类别。此外,我们还可视化了作者和作者缀合区域、关键词以及关键词加文档的共现网络。总之,本研究对生态与保护信息学进行了评估,为学者、政策制定者和决策者提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Declining planetary health as a driver of camera-trap studies: Insights from the web of science database

Planetary health is crucial to human well-being, ecosystem sustainability, and biodiversity preservation. In this context, camera traps are an effective remote sensing tool for monitoring biodiversity. Given the rising importance of understanding biodiversity patterns and trends, this study examines possible factors influencing camera-trap studies and provides bibliometric insights from 2377 publications indexed in the Web of Science (WoS). To explore the potential drivers of camera-trap research growth, we used a logistic model based on specific variables, including global gross domestic product, temperature growth, a planetary health measure the declining living planet index, and human population growth. The living planet index was identified as a statistically significant driver of camera-trap research growth (p-value <0.01), suggesting that curiosity regarding other living beings influences studies. Through the bibliometric analysis, we observed that camera-trap studies are predominantly conducted in the United States, followed by England and Australia, with a notable upward trend over recent years. These studies align with sustainable development goal 15 (Life on Land) and are primarily classified under the ecology category in WoS. Further, we have visualized the network of co-occurrence of authors and authors' affilation regions, keywords, and keywords plus documents. Overall, this study assesses ecological and conservation informatics and provides a reference to scholars, policymakers, and decision-makers.

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来源期刊
Ecological Informatics
Ecological Informatics 环境科学-生态学
CiteScore
8.30
自引率
11.80%
发文量
346
审稿时长
46 days
期刊介绍: The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.
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