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Citizen science helps predictions of climate change impact on flowering phenology: A study on Anemone nemorosa
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SYSNO ASEP 0562210 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Citizen science helps predictions of climate change impact on flowering phenology: A study on Anemone nemorosa Author(s) Puchałka, R. (PL)
Klisz, M. (PL)
Koniakin, S. (UA)
Czortek, P. (PL)
Dylewski, L. (PL)
Paź-Dyderska, S. (PL)
Vítková, Michaela (BU-J) RID, ORCID
Sádlo, Jiří (BU-J) RID, ORCID
Rašomavičius, V. (LT)
Čarni, A. (SK)
De Sanctis, M. (IT)
Dyderski, M. K. (PL)Article number 109133 Source Title Agricultural and Forest Meteorology. - : Elsevier - ISSN 0168-1923
Roč. 325, 15 October (2022)Number of pages 11 s. Language eng - English Country NL - Netherlands Keywords bioclimatic variables ; flowering offset ; flowering onset ; forest understory ; i-ecology ; wood anemone Subject RIV EF - Botanics OECD category Plant sciences, botany Method of publishing Open access Institutional support BU-J - RVO:67985939 UT WOS 000861223400002 EID SCOPUS 85136156082 DOI 10.1016/j.agrformet.2022.109133 Annotation We assessed citizen science databases usefulness in large-scale phenological research on temperate forest understory species, using a common and widely distributed in Europe: Anemone nemorosa. We analyzed 9804 photos from these databases. We predicted flowering dates for the present and future climate according to Shared Socioeconomic Pathways averaged over four global circulation models for 2040–60 and 2060–80 across A. nemorosa natural range. The predicted changes in the phenology of flowering will not significantly change the duration of flowering but will accelerate onset of this phenophase by about one month. Predicted changes will differ spatially, being the largest in Eastern Europe. Our study showed that citizen science might provide a valuable dataset that allows for developing reliable models of plant phenology. Workplace Institute of Botany Contact Martina Bartošová, martina.bartosova@ibot.cas.cz, ibot@ibot.cas.cz, Tel.: 271 015 242 ; Marie Jakšová, marie.jaksova@ibot.cas.cz, Tel.: 384 721 156-8 Year of Publishing 2023 Electronic address https://doi.org/10.1016/j.agrformet.2022.109133
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