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Global fern and lycophyte richness explained: How regional and local factors shape plot richness

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dc.contributor.author Weigan, Anna
dc.contributor.author Abrahamczyk, Stefan
dc.contributor.author Aubin, Isabelle
dc.contributor.author Bita Nicolae, Claudia
dc.contributor.author Bruelheide, Helge
dc.contributor.author Carvajal Hernández, César
dc.contributor.author Cicuzza, Daniele
dc.contributor.author Nascimiento da Costa, Lucas Erickson
dc.contributor.author Csiky, János
dc.contributor.author Dengler, Jüren
dc.contributor.author de Gasper, André Luís
dc.contributor.author Haider, Sylvia
dc.contributor.author Hernández Rojas, Adriana
dc.contributor.author Massaine Moulatlet, Gabriel
dc.date.accessioned 2020-01-28T14:39:37Z
dc.date.available 2020-01-28T14:39:37Z
dc.date.issued 2020
dc.identifier.citation Weigand, A., Abrahamczyk, S., Aubin, I., Bita‐Nicolae, C., Bruelheide, H., Carvajal‐Hernández, C. ., … Kessler, M. (2019). Global fern and lycophyte richness explained: How regional and local factors shape plot richness. Journal of Biogeography, (October), jbi.13782. https://doi.org/10.1111/jbi.13782 es
dc.identifier.uri http://repositorio.ikiam.edu.ec/jspui/handle/RD_IKIAM/335
dc.identifier.uri doi.org/10.1111/jbi.13782
dc.description.abstract To disentangle the influence of environmental factors at different spatial grains (regional and local) on fern and lycophyte species richness and ask how regional and plot-level richness are related to each other. Location: Global. Time period: Present. Major Taxa studied: Ferns and lycophytes. Methods: We explored fern and lycophyte species richness at two spatial grains, regional (hexagonal grid cells of 7,666 km2) and plot level (300–500 m2), in relation to environmental data at regional and local grains (the 7,666 km2 hexagonal grid cells and 4 km2 square grid cells, respectively). For the regional grain, we obtained species richness data for 1,243 spatial units and used them together with climatic and topographical predictors to model global fern richness. For the plot-level grain, we collated a global dataset of nearly 83,000 vegetation plots with a surface area in the range 300–500 m2 in which all fern and lycophyte species had been counted. We used structural equation modelling to identify which regional and local factors have the biggest effect on plot-level fern and lycophyte species richness worldwide. We investigate how plot-level richness is related to modelled regional richness at the plot's location. Results: Plot-level fern and lycophyte species richness were best explained by models allowing a link between regional environment and plot-level richness. A link between regional richness and plot-level richness was essential, as models without it were rejected, while models without the regional environment-plot-level richness link were still valid but had a worse goodness-of-fit value. Plot-level richness showed a hump-shaped relationship with regional richness. Main conclusions: Regional environment and regional fern and lycophyte species richness each are important determinants of plot-level richness, and the inclusion of one does not substitute the inclusion of the other. Plot-level richness increases with regional richness until a saturation point is reached, after which plot-level richness decreases despite increasing regional richness, possibly reflecting species interactions. es
dc.language.iso en es
dc.publisher Blackwell Publishing Inc. es
dc.relation.ispartofseries PRODUCCIÓN CIENTÍFICA-ARTÍCULOS;A-IKIAM-000236
dc.rights openAccess es
dc.rights Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject Big data es
dc.subject Macroecology, es
dc.subject Pteridophytes es
dc.subject Regional-local richness relationship es
dc.subject Saturation curves, es
dc.subject Structural equation modelling es
dc.title Global fern and lycophyte richness explained: How regional and local factors shape plot richness es
dc.type Article es


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