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

cris.virtual.author-orcid0000-0001-6340-0253
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cris.virtualsource.author-orcidf7fba6a8-72e3-463a-be94-573485f3ff58
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
dc.abstract.enUnderstanding biodiversity the relationship between 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.
dc.affiliationWydział Medycyny Weterynaryjnej i Nauk o Zwierzętach
dc.affiliation.instituteKatedra Zoologii
dc.contributor.authorTakacs, Viktoria
dc.contributor.authorO’Brien, C. David
dc.date.access2025-05-29
dc.date.accessioned2025-09-01T08:54:53Z
dc.date.available2025-09-01T08:54:53Z
dc.date.copyright2022-09-03
dc.date.issued2023
dc.description.abstract<jats:title>Abstract</jats:title><jats:p>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 &amp; Policy”, “Urban and Spatial Planning”, “Economics &amp; Conservation”, “Diversity &amp; Plants”, “Species &amp; Climate change”, “Agriculture”, “Conservation and Distribution”, “Carbon &amp; Soil &amp; Forestry”, “Hydro-&amp; Microbiology”. The topic “Research &amp; 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.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if5,8
dc.description.number1
dc.description.points140
dc.description.versionfinal_published
dc.description.volume52
dc.identifier.doi10.1007/s13280-022-01776-2
dc.identifier.eissn1654-7209
dc.identifier.issn0044-7447
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/4552
dc.identifier.weblinkhttp://link.springer.com/article/10.1007/s13280-022-01776-2
dc.languageen
dc.relation.ispartofAmbio
dc.relation.pages81-94
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOTHER
dc.subject.enbiological diversity
dc.subject.ennature's contribution to people
dc.subject.enresearch policy interface
dc.subject.enresearch trends
dc.subject.enresearch weaving
dc.subject.entopic modelling
dc.subtypeReviewArticle
dc.titleTrends and gaps in biodiversity and ecosystem services research: A text mining approach
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume52