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基于网络的环境科学指标的机遇。

Opportunities for web-based indicators in environmental sciences.

机构信息

Dipartimento di Scienze della Terra e dell'Ambiente, University of Pavia, Pavia, Italy.

出版信息

PLoS One. 2012;7(8):e42128. doi: 10.1371/journal.pone.0042128. Epub 2012 Aug 15.

Abstract

This paper proposes a set of web-based indicators for quantifying and ranking the relevance of terms related to key-issues in Ecology and Sustainability Science. Search engines that operate in different contexts (e.g. global, social, scientific) are considered as web information carriers (WICs) and are able to analyse; (i) relevance on different levels: global web, individual/personal sphere, on-line news, and culture/science; (ii) time trends of relevance; (iii) relevance of keywords for environmental governance. For the purposes of this study, several indicators and specific indices (relational indices and dynamic indices) were applied to a test-set of 24 keywords. Outputs consistently show that traditional study topics in environmental sciences such as water and air have remained the most quantitatively relevant keywords, while interest in systemic issues (i.e. ecosystem and landscape) has grown over the last 20 years. Nowadays, the relevance of new concepts such as resilience and ecosystem services is increasing, but the actual ability of these concepts to influence environmental governance needs to be further studied and understood. The proposed approach, which is based on intuitive and easily replicable procedures, can support the decision-making processes related to environmental governance.

摘要

本文提出了一套基于网络的指标,用于量化和排名与生态学和可持续性科学关键问题相关的术语的相关性。在不同背景下运行的搜索引擎(例如全球、社会、科学)被视为网络信息载体(WIC),并能够分析:(i)不同层面的相关性:全球网络、个人/个人领域、在线新闻和文化/科学;(ii)相关性的时间趋势;(iii)关键词对环境治理的相关性。在本研究中,将几个指标和特定指数(关系指数和动态指数)应用于 24 个关键词的测试集。结果一致表明,环境科学中的传统研究主题,如水和空气,仍然是最具定量相关性的关键词,而对系统问题(即生态系统和景观)的兴趣在过去 20 年中有所增加。如今,诸如弹性和生态系统服务等新概念的相关性正在增加,但这些概念实际影响环境治理的能力仍需进一步研究和理解。该方法基于直观且易于复制的程序,可以支持与环境治理相关的决策过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/23da/3419708/b00c562e0aa2/pone.0042128.g001.jpg

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