Literature DB >> 27886430

The muddle of ages, turnover, transit, and residence times in the carbon cycle.

Carlos A Sierra1, Markus Müller1, Holger Metzler1, Stefano Manzoni2,3, Susan E Trumbore1.   

Abstract

Comparisons among ecosystem models or ecosystem dynamics along environmental gradients commonly rely on metrics that integrate different processes into a useful diagnostic. Terms such as age, turnover, residence, and transit times are often used for this purpose; however, these terms are variably defined in the literature and in many cases, calculations ignore assumptions implicit in their formulas. The aim of this opinion piece was i) to make evident these discrepancies and the incorrect use of formulas, ii) highlight recent results that simplify calculations and may help to avoid confusion, and iii) propose the adoption of simple and less ambiguous terms.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  carbon cycle models; carbon fluxes; carbon stocks; compartment models; dynamical systems; model diagnostics; radiocarbon; reservoir theory

Mesh:

Substances:

Year:  2016        PMID: 27886430     DOI: 10.1111/gcb.13556

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  10 in total

1.  Transit-time and age distributions for nonlinear time-dependent compartmental systems.

Authors:  Holger Metzler; Markus Müller; Carlos A Sierra
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-22       Impact factor: 11.205

2.  Fires prime terrestrial organic carbon for riverine export to the global oceans.

Authors:  Matthew W Jones; Alysha I Coppola; Cristina Santín; Thorsten Dittmar; Rudolf Jaffé; Stefan H Doerr; Timothy A Quine
Journal:  Nat Commun       Date:  2020-06-03       Impact factor: 14.919

3.  Evidence for non-steady-state carbon emissions from snow-scoured alpine tundra.

Authors:  John F Knowles; Peter D Blanken; Corey R Lawrence; Mark W Williams
Journal:  Nat Commun       Date:  2019-03-21       Impact factor: 14.919

4.  Temperature and moisture are minor drivers of regional-scale soil organic carbon dynamics.

Authors:  B González-Domínguez; P A Niklaus; M S Studer; F Hagedorn; L Wacker; N Haghipour; S Zimmermann; L Walthert; C McIntyre; S Abiven
Journal:  Sci Rep       Date:  2019-04-23       Impact factor: 4.379

5.  Important role of forest disturbances in the global biomass turnover and carbon sinks.

Authors:  Thomas A M Pugh; Almut Arneth; Markus Kautz; Benjamin Poulter; Benjamin Smith
Journal:  Nat Geosci       Date:  2019-08-12       Impact factor: 16.908

6.  Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations.

Authors:  Matthias Forkel; Markus Drüke; Martin Thurner; Wouter Dorigo; Sibyll Schaphoff; Kirsten Thonicke; Werner von Bloh; Nuno Carvalhais
Journal:  Sci Rep       Date:  2019-12-10       Impact factor: 4.379

7.  Pervasive decreases in living vegetation carbon turnover time across forest climate zones.

Authors:  Kailiang Yu; William K Smith; Anna T Trugman; Richard Condit; Stephen P Hubbell; Jordi Sardans; Changhui Peng; Kai Zhu; Josep Peñuelas; Maxime Cailleret; Tom Levanic; Arthur Gessler; Marcus Schaub; Marco Ferretti; William R L Anderegg
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-18       Impact factor: 11.205

8.  Generic parameters of first-order kinetics accurately describe soil organic matter decay in bare fallow soils over a wide edaphic and climatic range.

Authors:  Lorenzo Menichetti; Göran I Ågren; Pierre Barré; Fernando Moyano; Thomas Kätterer
Journal:  Sci Rep       Date:  2019-12-30       Impact factor: 4.379

9.  Soil organic matter turnover rates increase to match increased inputs in grazed grasslands.

Authors:  Shane W Stoner; Alison M Hoyt; Susan Trumbore; Carlos A Sierra; Marion Schrumpf; Sebastian Doetterl; W Troy Baisden; Louis A Schipper
Journal:  Biogeochemistry       Date:  2021-08-27       Impact factor: 4.825

10.  Occupancy times for time-dependent stage-structured models.

Authors:  George Chappelle; Alan Hastings; Martin Rasmussen
Journal:  J Math Biol       Date:  2022-02-02       Impact factor: 2.259

  10 in total

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