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Six Decades of Losses and Gains in Alpha Diversity of European Plant Communities

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MIDOLO Gabriele CLARK Adam Thomas CHYTRÝ Milan ESSL Franz DULLINGER Stefan JANDT Ute BRUELHEIDE Helge ARGAGNON Olivier BIURRUN Idoia CHIARUCCI Alessandro CUSTEREVSKA Renata PIETER De Frenne MICHELE De Sanctis DENGLER Jurgen DIVÍŠEK Jan DZIUBA Tetiana EJRNAES Rasmus GARBOLINO Emmanuel ILLA Estela JENTSCH Anke JIMENEZ-ALFARO Borja LENOIR Jonathan MOESLUND Jesper Erenskjold NAPOLEONE Francesca PIELECH Remigiusz RUMPF Sabine B SANZ-ZUBIZARRETA Irati SILVA Vasco SVENNING Jens-christian SWACHA Grzegorz VEČEŘA Martin VYNOKUROV Denys KEIL Petr

Rok publikování 2025
Druh Článek v odborném periodiku
Časopis / Zdroj ECOLOGY LETTERS
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www https://doi.org/10.1111/ele.70248
Doi https://doi.org/10.1111/ele.70248
Klíčová slova alpha diversity; autocorrelation; biogeographic regions; habitat specificity; latitudinal gradient; machine learning; nature conservation; random forests; statistical interpolation; vegetation resurvey
Popis Biodiversity change forecasts rely on long-term time series, but such data are often scarce in space and time. Here, we interpolated spatiotemporal changes in species richness using a new method based on machine learning that does not require temporal replication at sites. Using 698,692 one-time sampled vegetation plots, we estimated trends in vascular plant alpha diversity across Europe and validated our approach against 22,852 independent time series. We found an overall near-zero net change in species richness between 1960 and 2020. However, species richness generally declined from 1960 to 1980 and increased from 2000 to 2020 across habitats. Declines were most pronounced in forests, but trends varied across habitats and regions, with overall increases at higher latitudes and elevations, and declines or stable trends elsewhere. Our findings demonstrate how data without temporal replication can be used to reveal context-dependent biodiversity dynamics, underscoring their importance for conservation and management.
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