Leaf-level coordination principles propagate to the ecosystem scale

Author:

Gomarasca UlisseORCID,Migliavacca Mirco,Kattge JensORCID,Nelson Jacob A.ORCID,Niinemets Ülo,Wirth ChristianORCID,Cescatti Alessandro,Bahn MichaelORCID,Nair RichardORCID,Acosta Alicia T. R.ORCID,Arain M. AltafORCID,Beloiu MirelaORCID,Black T. AndrewORCID,Bruun Hans HenrikORCID,Bucher Solveig FranziskaORCID,Buchmann NinaORCID,Byun ChaehoORCID,Carrara ArnaudORCID,Conte AdrianoORCID,da Silva Ana C.ORCID,Duveiller GregoryORCID,Fares SilvanoORCID,Ibrom AndreasORCID,Knohl AlexanderORCID,Komac Benjamin,Limousin Jean-Marc,Lusk Christopher H.,Mahecha Miguel D.ORCID,Martini David,Minden Vanessa,Montagnani LeonardoORCID,Mori Akira S.ORCID,Onoda YusukeORCID,Peñuelas JosepORCID,Perez-Priego OscarORCID,Poschlod Peter,Powell Thomas L.,Reich Peter B.ORCID,Šigut LadislavORCID,van Bodegom Peter M.ORCID,Walther SophiaORCID,Wohlfahrt GeorgORCID,Wright Ian J.ORCID,Reichstein MarkusORCID

Abstract

AbstractFundamental axes of variation in plant traits result from trade-offs between costs and benefits of resource-use strategies at the leaf scale. However, it is unclear whether similar trade-offs propagate to the ecosystem level. Here, we test whether trait correlation patterns predicted by three well-known leaf- and plant-level coordination theories – the leaf economics spectrum, the global spectrum of plant form and function, and the least-cost hypothesis – are also observed between community mean traits and ecosystem processes. We combined ecosystem functional properties from FLUXNET sites, vegetation properties, and community mean plant traits into three corresponding principal component analyses. We find that the leaf economics spectrum (90 sites), the global spectrum of plant form and function (89 sites), and the least-cost hypothesis (82 sites) all propagate at the ecosystem level. However, we also find evidence of additional scale-emergent properties. Evaluating the coordination of ecosystem functional properties may aid the development of more realistic global dynamic vegetation models with critical empirical data, reducing the uncertainty of climate change projections.

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry,Multidisciplinary

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