Predicting long-term carbon sequestration in response to CO2 enrichment: How and why do current ecosystem models differ?

dc.contributor.authorWalker, Anthony P
dc.contributor.authorZaehle, S.
dc.contributor.authorMedlyn , Belinda E
dc.contributor.authorDe Kauwe, Martin G
dc.contributor.authorAsao, Shinichi
dc.contributor.authorHickler, Thomas
dc.contributor.authorParton, William G.
dc.contributor.authorNorby, Richard J
dc.contributor.authorRicciuto, Daniel M.
dc.contributor.authorWang, Ying-Ping
dc.contributor.authorWarlind, David
dc.date.accessioned2018-11-29T22:54:23Z
dc.date.available2018-11-29T22:54:23Z
dc.date.issued2015
dc.date.updated2018-11-29T07:59:38Z
dc.description.abstractLarge uncertainty exists in model projections of the land carbon (C) sink response to increasing atmospheric CO2. Free-Air CO2 Enrichment (FACE) experiments lasting a decade or more have investigated ecosystem responses to a step change in atmospheric CO2 concentration. To interpret FACE results in the context of gradual increases in atmospheric CO2 over decades to centuries, we used a suite of seven models to simulate the Duke and Oak Ridge FACE experiments extended for 300 years of CO2 enrichment. We also determine key modeling assumptions that drive divergent projections of terrestrial C uptake and evaluate whether these assumptions can be constrained by experimental evidence. All models simulated increased terrestrial C pools resulting from CO2 enrichment, though there was substantial variability in quasi-equilibrium C sequestration and rates of change. In two of two models that assume that plant nitrogen (N) uptake is solely a function of soil N supply, the net primary production response to elevated CO2 became progressively N limited. In four of five models that assume that N uptake is a function of both soil N supply and plant N demand, elevated CO2 led to reduced ecosystem N losses and thus progressively relaxed nitrogen limitation. Many allocation assumptions resulted in increased wood allocation relative to leaves and roots which reduced the vegetation turnover rate and increased C sequestration. In addition, self-thinning assumptions had a substantial impact on C sequestration in two models. Accurate representation of N process dynamics (in particular N uptake), allocation, and forest self-thinning is key to minimizing uncertainty in projections of future C sequestration in response to elevated atmospheric CO2.
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn0886-6236
dc.identifier.urihttp://hdl.handle.net/1885/152774
dc.publisherAmerican Geophysical Union
dc.sourceGlobal Biogeochemical Cycles
dc.titlePredicting long-term carbon sequestration in response to CO2 enrichment: How and why do current ecosystem models differ?
dc.typeJournal article
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue4
local.contributor.affiliationWalker, Anthony P, University of Sheffield
local.contributor.affiliationZaehle, S., Max-Planck-Institut fur Biogeochemie
local.contributor.affiliationMedlyn , Belinda E , Western Sydney University
local.contributor.affiliationDe Kauwe, Martin G , Macquarie University
local.contributor.affiliationAsao, Shinichi, College of Science, ANU
local.contributor.affiliationHickler, Thomas, Lund University
local.contributor.affiliationParton, William G., Colorado State University
local.contributor.affiliationNorby, Richard J, Oak Ridge National Laboratory
local.contributor.affiliationRicciuto, Daniel M., 1Environmental Sciences Division and Climate Change Science Institute
local.contributor.affiliationWang, Ying-Ping, CSIRO Ocean and Atmosphere Flagship
local.contributor.affiliationWarlind, David, CSIRO Ocean and Atmosphere Flagship
local.contributor.authoruidAsao, Shinichi, u1034774
local.description.notesImported from ARIES
local.identifier.absfor050101 - Ecological Impacts of Climate Change
local.identifier.absseo960303 - Climate Change Models
local.identifier.ariespublicationa383154xPUB6804
local.identifier.citationvolume29
local.identifier.doi10.1002/2014GB004995
local.identifier.scopusID2-s2.0-84929074334
local.identifier.thomsonID000356383100006
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
01_Walker_Predicting_long-term_carbon_2015.pdf
Size:
1.73 MB
Format:
Adobe Portable Document Format