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Citizen science data can significantly improve predictions of potential ranges of non-charismatic species: a study on two freshwater sponges

cris.virtual.author-orcid0000-0002-1370-7625
cris.virtual.author-orcid0000-0002-0683-4001
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cris.virtual.author-orcid0000-0002-4989-1524
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cris.virtualsource.author-orcid86de7053-c0cc-4a23-960c-fd3908659acc
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cris.virtualsource.author-orcida28cb160-17dc-454c-a01e-fa082e2acbf4
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dc.abstract.enFreshwater sponge species play crucial roles in aquatic ecosystems, yet their distribution patterns and responses to environmental changes remain insufficiently understood. Relying solely on platforms like GBIF for predicting species distribution may be inadequate and occasionally misleading due to biases and inaccuracies in the data. We investigated the distribution records and potential future distributions of two freshwater sponge species, Spongilla lacustris and Ephydatia fluviatilis, across Europe. Using various data sources, including the Global Biodiversity Information Facility (GBIF), literature records, and internet naturalist data (iEcology), we compiled a comprehensive dataset comprising 1,330 records for S. lacustris and 9,854 records for E. fluviatilis. While GBIF records predominated in Western Europe, additional sources filled gaps in distribution records, particularly in Central and Eastern Europe. Species distribution models (SDMs) performed well, with S. lacustris exhibiting a broad climatic optimum range in Western and Northern Europe, while E. fluviatilis displayed a narrower range, primarily in northern regions. Future projections indicated a northward shift of freshwater sponge species in response to climate change, with potential contractions in Baltic Sea countries. These findings underscore that using diverse data sources such as scientific literature, field surveys, local ecological knowledge, and citizen science initiatives offers a more holistic view of species distribution patterns. Social media platforms also play a significant role in supplementing biodiversity data and engaging communities in conservation efforts.
dc.affiliationWydział Medycyny Weterynaryjnej i Nauk o Zwierzętach
dc.affiliation.instituteKatedra Zoologii
dc.contributor.authorDylewski, Łukasz
dc.contributor.authorPuchałka, Radosław
dc.contributor.authorBiałas, Joanna
dc.contributor.authorFogašová, Katarína
dc.contributor.authorJagiełło, Zuzanna
dc.contributor.authorKaźmierczak, Sandra
dc.contributor.authorTimm, Henn
dc.contributor.authorTobółka, Marcin
dc.contributor.authorTończyk, Grzegorz
dc.contributor.authorZawadzka, Julia
dc.contributor.authorDyderski, Marcin K.
dc.date.accessioned2025-10-02T11:59:00Z
dc.date.available2025-10-02T11:59:00Z
dc.date.issued2025
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if9,1
dc.description.numberDecember 2025
dc.description.points200
dc.description.volume95
dc.identifier.doi10.1016/j.gloenvcha.2025.103056
dc.identifier.eissn1872-9495
dc.identifier.issn0959-3780
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/5153
dc.languageen
dc.pbn.affiliationbiological sciences
dc.relation.ispartofGlobal Environmental Change
dc.relation.pagesart. 103056
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.subject.eniEcology
dc.subject.enspecies distribution modelling
dc.subject.enclimate change
dc.subject.enGBIF
dc.subject.enMaxEnt
dc.titleCitizen science data can significantly improve predictions of potential ranges of non-charismatic species: a study on two freshwater sponges
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.volume95