Forest production efficiency increases with growth temperature.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
21 10 2020
Historique:
received: 04 04 2020
accepted: 18 09 2020
entrez: 22 10 2020
pubmed: 23 10 2020
medline: 23 10 2020
Statut: epublish

Résumé

Forest production efficiency (FPE) metric describes how efficiently the assimilated carbon is partitioned into plants organs (biomass production, BP) or-more generally-for the production of organic matter (net primary production, NPP). We present a global analysis of the relationship of FPE to stand-age and climate, based on a large compilation of data on gross primary production and either BP or NPP. FPE is important for both forest production and atmospheric carbon dioxide uptake. We find that FPE increases with absolute latitude, precipitation and (all else equal) with temperature. Earlier findings-FPE declining with age-are also supported by this analysis. However, the temperature effect is opposite to what would be expected based on the short-term physiological response of respiration rates to temperature, implying a top-down regulation of carbon loss, perhaps reflecting the higher carbon costs of nutrient acquisition in colder climates. Current ecosystem models do not reproduce this phenomenon. They consistently predict lower FPE in warmer climates, and are therefore likely to overestimate carbon losses in a warming climate.

Identifiants

pubmed: 33087724
doi: 10.1038/s41467-020-19187-w
pii: 10.1038/s41467-020-19187-w
pmc: PMC7578801
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5322

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Auteurs

A Collalti (A)

National Research Council of Italy, Institute for Agriculture and Forestry Systems in the Mediterranean (ISAFOM), 06128, Perugia (PG), Italy.
University of Tuscia, Department of Innovation in Biological, Agro-food and Forest Systems (DIBAF), 01100, Viterbo, Italy.

A Ibrom (A)

Technical University of Denmark (DTU), Department of Environmental Engineering, Lyngby, Denmark. anib@env.dtu.dk.

A Stockmarr (A)

Technical University of Denmark (DTU), Department of Applied Mathematics and Computer Science, Lyngby, Denmark.

A Cescatti (A)

European Commission, Joint Research Centre, Directorate for Sustainable Resources, Ispra, Italy.

R Alkama (R)

European Commission, Joint Research Centre, Directorate for Sustainable Resources, Ispra, Italy.

M Fernández-Martínez (M)

Research group PLECO (Plants and Ecosystems), Department of Biology, University of Antwerp, 2610, Wilrijk, Belgium.

G Matteucci (G)

National Research Council of Italy, Institute for BioEconomy (IBE), 50019, Sesto Fiorentino, FI, Italy.

S Sitch (S)

College of Life and Environmental Sciences, University of Exeter, Exeter, EX4 4RJ, UK.

P Friedlingstein (P)

College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, EX4 4QF, UK.

P Ciais (P)

Laboratoire des Sciences du Climat et del'Environnement, CEA CNRS UVSQ, Gif-sur-Yvette, 91191, France.

D S Goll (DS)

Department of Geography, University of Augsburg, Augsburg, Germany.

J E M S Nabel (JEMS)

Max Planck Institute for Meteorology, Hamburg, Germany.

J Pongratz (J)

Max Planck Institute for Meteorology, Hamburg, Germany.
Ludwig-Maximilians-Universität München, Luisenstr 37, 80333, Munich, Germany.

A Arneth (A)

Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research/Atmospheric Environmental Research, 82467, Garmisch-Partenkirchen, Germany.

V Haverd (V)

CSIRO Oceans and Atmosphere, Canberra, ACT, 2601, Australia.

I C Prentice (IC)

Department of Life Sciences, Imperial College London, Silwood Park Campus, London, Ascot SL5 7PY, UK.
Department of Biological Sciences, Macquarie University, North Ryde, NSW, 2109, Australia.
Department of Earth System Science, Tsinghua University, 100084, Beijing, China.

Classifications MeSH