Global patterns of vascular plant alpha diversity

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

  • Francesco Maria Sabatini
  • Borja Jiménez-Alfaro
  • Ute Jandt
  • Milan Chytrý
  • Richard Field
  • Michael Kessler
  • Jonathan Lenoir
  • Franziska Schrodt
  • Susan K. Wiser
  • Mohammed A.S. Arfin Khan
  • Fabio Attorre
  • Luis Cayuela
  • Michele De Sanctis
  • Jürgen Dengler
  • Mohamed Z. Hatim
  • Adrian Indreica
  • Florian Jansen
  • Aníbal Pauchard
  • Robert K. Peet
  • Petr Petřík
  • Valério D. Pillar
  • Brody Sandel
  • Marco Schmidt
  • Zhiyao Tang
  • Peter van Bodegom
  • Kiril Vassilev
  • Cyrille Violle
  • Esteban Alvarez-Davila
  • Priya Davidar
  • Jiri Dolezal
  • Bruno Hérault
  • Antonio Galán-de-Mera
  • Jorge Jiménez
  • Stephan Kambach
  • Sebastian Kepfer-Rojas
  • Holger Kreft
  • Felipe Lezama
  • Reynaldo Linares-Palomino
  • Abel Monteagudo Mendoza
  • Justin K. N’Dja
  • Oliver L. Phillips
  • Gonzalo Rivas-Torres
  • Petr Sklenář
  • Karina Speziale
  • Ben J. Strohbach
  • Rodolfo Vásquez Martínez
  • Hua Feng Wang
  • Karsten Wesche
  • Helge Bruelheide
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, topo- graphic 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.
OriginalspracheEnglisch
Aufsatznummer4683
ZeitschriftNature Communications
Jahrgang13
Ausgabenummer1
Anzahl der Seiten17
ISSN2041-1723
DOIs
PublikationsstatusErschienen - 01.09.2022
Extern publiziertJa

Bibliographische Notiz

Funding Information:
The authors are grateful to thousands of vegetation scientists who sampled vegetation plots in the field or digitized them into regional, national or international databases. We appreciate the support of the German Research Foundation for funding sPlot as one of the iDiv research platforms (DFG FZT 118, 202548816). F.M.S. also acknowledges financial support within the funding programme Open Access Publishing by the German Research Foundation (DFG), and within the Rita-Levi Montalcini (2019) programme, funded by the Italian Ministry of University. In our analyses, we used the iDiv High-Performance Computing (HPC) cluster, for which we in particular acknowledge the support of Christian Krause. M.C. was supported by the Czech Science Foundation (project no. 19-28491X). V.D.P. was supported by the Brazilian National Research Council (CNPq grant 307689/2014-0). P.P. was supported by the long-term research development project No. RVO 67985939 of the Czech Academy of Sciences. A.P. gratefully acknowledges the Grant CONICYT PIA AFB170008 and Grant ANID PIA/BASAL FB210006. S.K.W. was supported by the Strategic Science Investment Fund of the NZ Ministry for Business, Employment and Innovation. A.G.-D.-M. acknowledges for the support of Agencia Española de Cooperación Internacional para el Desarrollo, Universidad CEU San Pablo (Madrid, Spain) and Universidad Privada Antonio Guillermo Urrelo (Cajamarca, Peru). H.K. acknowledges funding from the German Research Foundation (DFG) in the framework of the EFForTS project (Collaborative Research Centre 990. B.H. & J.K.N.’D. acknowledge the DynRecSe Project (C2D AMRUGE). E.A.-D. acknowledges the Red Col-Tree (Red de Monitoreo del bosque en Colombia). Ji.D. was funded by MŠMT Inter-excellence LTAUSA 18007, Czech Science Foundation (21-26883S). S.K. acknowledges funds by the 2019–2020 BiodivERsA joint call for research proposals, under the BiodivClim ERA-Net COFUND program (FeedBaCks, 193907). R.L.P. acknowledges funds by GeoPark Perú. J.J. acknowledges funds from various projects of Senacyt, Fonacon and Usac. O.P., A.M., and R.V. acknowledge support from the UK Department for International Development, a Research Fellowship to OP from the UK Natural Environment Research Council, the Mellon and MacArthur Foundations’ support to the Missouri Botanical Garden, and the European Research Council for enabling our ForestPlots.net contribution to this project. C.V. was partly supported by the Fondation pour la Recherche sur la Biodiversité (FRB) and Electricité de France (EDF) in the context of the CESAB project ‘Causes and consequences of functional rarity from local to global scales’ (FREE). A full list of funding sources for each dataset listed in Supplementary Data 1 is available in Bruelheide et al..

Publisher Copyright:
© 2022, The Author(s).

DOI