Insights from regional and short-term biodiversity monitoring datasets are valuable: a reply to Daskalova et al. 2021

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dc.authoridFischer, Markus/0000-0002-5589-5900
dc.authoridBauhus, Jurgen/0000-0002-9673-4986
dc.authoridMuller, Jorg/0000-0002-1409-1586
dc.authoridSimons, Nadja K./0000-0002-2718-7050
dc.authoridBluthgen, Nico/0000-0001-6349-4528
dc.authoridGossner, Martin M./0000-0003-1516-6364
dc.authoridHothorn, Torsten/0000-0001-8301-0471
dc.authorwosidFischer, Markus/C-6411-2008
dc.authorwosidSchulze, Ernst-Detlef/K-9627-2014
dc.authorwosidBauhus, Jurgen/G-4449-2013
dc.authorwosidSimons, Nadja K./F-3913-2014
dc.authorwosidGossner, Martin M./J-2730-2015
dc.authorwosidHothorn, Torsten/A-3639-2010
dc.contributor.authorSeibold, Sebastian
dc.contributor.authorHothorn, Torsten
dc.contributor.authorGossner, Martin M.
dc.contributor.authorSimons, Nadja K.
dc.contributor.authorBluthgen, Nico
dc.contributor.authorMuller, Jorg
dc.contributor.authorPenone, Caterina
dc.date.accessioned2021-12-01T18:51:12Z
dc.date.available2021-12-01T18:51:12Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractReports of major losses in insect biodiversity have stimulated an increasing interest in temporal population changes. Existing datasets are often limited to a small number of study sites, few points in time, a narrow range of land-use intensities and only some taxonomic groups, or they lack standardised sampling. While new monitoring programs have been initiated, they still cover rather short time periods. Daskalova et al. 2021 (Insect Conservation and Diversity, 14, 1-18) argue that temporal trends of insect populations derived from short time series are biased towards extreme trends, while their own analysis of an assembly of shorter- and longer-term time series does not support an overall insect decline. With respect to the results of Seibold et al. 2019 (Nature, 574, 671-674) based on a 10-year multi-site time series, they claim that the analysis suffers from not accounting for temporal pseudoreplication. Here, we explain why the criticism of missing statistical rigour in the analysis of Seibold et al. (2019) is not warranted. Models that include 'year' as random effect, as suggested by Daskalova et al. (2021), fail to detect non-linear trends and assume that consecutive years are independent samples which is questionable for insect time-series data. We agree with Daskalova et al. (2021) that the assembly and analysis of larger datasets is urgently needed, but it will take time until such datasets are available. Thus, short-term datasets are highly valuable, should be extended and analysed continually to provide a more detailed understanding of insect population changes under the influence of global change, and to trigger immediate conservation actions.en_US
dc.description.sponsorshipProjekt DEALen_US
dc.description.sponsorshipOpen Access funding enabled and organised by Projekt DEAL. WOA Institution: Technische Universitat Munchen Blended DEAL: Projekt DEAL. Open access funding enabled and organized by Projekt DEAL.en_US
dc.identifier.doi10.1111/icad.12467
dc.identifier.endpage148en_US
dc.identifier.issn1752-458X
dc.identifier.issn1752-4598
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85100160129en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage144en_US
dc.identifier.urihttps://doi.org/10.1111/icad.12467
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10980
dc.identifier.volume14en_US
dc.identifier.wosWOS:000608170300012en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWileyen_US
dc.relation.ispartofInsect Conservation And Diversityen_US
dc.relation.publicationcategoryDiğeren_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArthropoden_US
dc.subjectbiodiversityen_US
dc.subjectinsect declineen_US
dc.subjectland useen_US
dc.subjecttime seriesen_US
dc.subjectDeclinesen_US
dc.titleInsights from regional and short-term biodiversity monitoring datasets are valuable: a reply to Daskalova et al. 2021en_US
dc.typeEditorialen_US

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