| Literature DB >> 36050293 |
Francesco Maria Sabatini1,2,3, Borja Jiménez-Alfaro4,5, Ute Jandt6,4, Milan Chytrý7, Richard Field8, Michael Kessler9, Jonathan Lenoir10, Franziska Schrodt8, Susan K Wiser11, Mohammed A S Arfin Khan12, Fabio Attorre13, Luis Cayuela14, Michele De Sanctis13, Jürgen Dengler15,16, Sylvia Haider6,4, Mohamed Z Hatim17,18, Adrian Indreica19, Florian Jansen20, Aníbal Pauchard21,22, Robert K Peet23, Petr Petřík24,25, Valério D Pillar26, Brody Sandel27, Marco Schmidt28,29, Zhiyao Tang30, Peter van Bodegom31, Kiril Vassilev32, Cyrille Violle33, Esteban Alvarez-Davila34, Priya Davidar35, Jiri Dolezal24,36, Bruno Hérault37,38,39, Antonio Galán-de-Mera40, Jorge Jiménez41, Stephan Kambach4, Sebastian Kepfer-Rojas42, Holger Kreft43,44, Felipe Lezama45, Reynaldo Linares-Palomino46, Abel Monteagudo Mendoza47,48, Justin K N'Dja49, Oliver L Phillips50, Gonzalo Rivas-Torres51, Petr Sklenář52, Karina Speziale53, Ben J Strohbach54, Rodolfo Vásquez Martínez48, Hua-Feng Wang55, Karsten Wesche6,56,57, Helge Bruelheide6,4.
Abstract
Global patterns of regional (gamma) plant diversity are relatively well known, but whether these patterns hold for local communities, and the dependence on spatial grain, remain controversial. Using data on 170,272 georeferenced local plant assemblages, we created global maps of alpha diversity (local species richness) for vascular plants at three different spatial grains, for forests and non-forests. We show that alpha diversity is consistently high across grains in some regions (for example, Andean-Amazonian foothills), but regional 'scaling anomalies' (deviations from the positive correlation) exist elsewhere, particularly in Eurasian temperate forests with disproportionally higher fine-grained richness and many African tropical forests with disproportionally higher coarse-grained richness. The influence of different climatic, topographic and biogeographical variables on alpha diversity also varies across grains. Our multi-grain maps return a nuanced understanding of vascular plant biodiversity patterns that complements classic maps of biodiversity hotspots and will improve predictions of global change effects on biodiversity.Entities:
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Year: 2022 PMID: 36050293 PMCID: PMC9436951 DOI: 10.1038/s41467-022-32063-z
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 17.694