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

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 m...
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Autor*in:	Takacs, Viktoria [verfasserIn] O’Brien, C. David

Format:	Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Biological diversity Nature’s contribution to people Research policy interface Research trends Research weaving Topic modelling

Anmerkung:	© The Author(s) 2022

Übergeordnetes Werk:	Enthalten in: Ambio - Springer Netherlands, 1972, 52(2022), 1 vom: 03. Sept., Seite 81-94
Übergeordnetes Werk:	volume:52 ; year:2022 ; number:1 ; day:03 ; month:09 ; pages:81-94

Links:	Volltext

DOI / URN:	10.1007/s13280-022-01776-2

Katalog-ID:	OLC2079986805

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author-letter	Takacs, Viktoria
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title_sort	trends and gaps in biodiversity and ecosystem services research: a text mining approach
title_auth	Trends and gaps in biodiversity and ecosystem services research: A text mining approach
abstract	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. © The Author(s) 2022
abstractGer	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. © The Author(s) 2022
abstract_unstemmed	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. © The Author(s) 2022
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title_short	Trends and gaps in biodiversity and ecosystem services research: A text mining approach
url	https://doi.org/10.1007/s13280-022-01776-2
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author2	O’Brien, C. David
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doi_str	10.1007/s13280-022-01776-2
up_date	2024-07-04T02:36:42.574Z
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