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生物多样性和生态系统服务研究的趋势和差距：一种文本挖掘方法。

Trends and gaps in biodiversity and ecosystem services research: A text mining approach.

机构信息

Department of Zoology, Faculty of Veterinarian and Animal Sciences, Poznan University of Life Sciences, Wojska Polskiego 71/c, 60625, Poznan, Poland.

NatureScot (Scottish Natural Heritage), Inverness, IV3 8NW, UK.

出版信息

Ambio. 2023 Jan;52(1):81-94. doi: 10.1007/s13280-022-01776-2. Epub 2022 Sep 3.

DOI:10.1007/s13280-022-01776-2
PMID:36057041
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9666618/
Abstract

Understanding the relationship between biodiversity conservation and ecosystem services concepts is essential for evidence-based policy development. We used text mining augmented by topic modelling to analyse abstracts of 15 310 peer-reviewed papers (from 2000 to 2020). We identified nine major topics; "Research & Policy", "Urban and Spatial Planning", "Economics & Conservation", "Diversity & Plants", "Species & Climate change", "Agriculture", "Conservation and Distribution", "Carbon & Soil & Forestry", "Hydro-& Microbiology". The topic "Research & Policy" performed highly, considering number of publications and citation rate, while in the case of other topics, the "best" performances varied, depending on the indicator applied. Topics with human, policy or economic dimensions had higher performances than the ones with 'pure' biodiversity and science. Agriculture dominated over forestry and fishery sectors, while some elements of biodiversity and ecosystem services were under-represented. Text mining is a powerful tool to identify relations between research supply and policy demand.

摘要

理解生物多样性保护和生态系统服务概念之间的关系对于基于证据的政策制定至关重要。我们使用文本挖掘和主题建模相结合的方法，分析了 15310 篇同行评议论文的摘要（2000 年至 2020 年）。我们确定了九个主要主题：“研究与政策”、“城市与空间规划”、“经济与保护”、“多样性与植物”、“物种与气候变化”、“农业”、“保护与分布”、“碳与土壤与林业”、“水-微生物”。考虑到出版物数量和引用率，主题“研究与政策”的表现非常出色，而对于其他主题，“最佳”表现因所应用的指标而异。具有人类、政策或经济层面的主题比具有“纯”生物多样性和科学的主题表现更好。农业主导了林业和渔业部门，而生物多样性和生态系统服务的一些要素则被低估。文本挖掘是识别研究供给和政策需求之间关系的有力工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/455d/9666618/947b8af736c7/13280_2022_1776_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/455d/9666618/f6c9dc5ddd2e/13280_2022_1776_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/455d/9666618/52ac1f79539f/13280_2022_1776_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/455d/9666618/05f891a9274e/13280_2022_1776_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/455d/9666618/947b8af736c7/13280_2022_1776_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/455d/9666618/f6c9dc5ddd2e/13280_2022_1776_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/455d/9666618/513cbe5701ac/13280_2022_1776_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/455d/9666618/52ac1f79539f/13280_2022_1776_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/455d/9666618/05f891a9274e/13280_2022_1776_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/455d/9666618/947b8af736c7/13280_2022_1776_Fig5_HTML.jpg

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