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dc.creatorLo, Yueh-Hsines_ES
dc.creatorBlanco Vaca, Juan Antonioes_ES
dc.creatorGonzález de Andrés, Esteres_ES
dc.creatorImbert Rodríguez, Boscoes_ES
dc.creatorCastillo Martínez, Federicoes_ES
dc.date.accessioned2019-07-05T07:24:14Z
dc.date.available2019-07-05T07:24:14Z
dc.date.issued2019
dc.identifier.issn0304-3800
dc.identifier.urihttps://hdl.handle.net/2454/33521
dc.description.abstractIsolating the long-term fertilization effect of CO 2 from other climate- and site-related effects on tree growth has been proven a challenging task. To isolate long-term effects of [CO2] on water use efficiency at ecosystem level, we used the FORECAST Climate forest model, calibrated for Scots pine (Pinus sylvestris L.) forests in the southwestern Pyrenees, growing at a Mediterranean montane site and at a continental subalpine site. Future climate scenarios (RCP 4.5 and RCP 8.5) were generated using a battery of six climate models to estimate daily values of temperature and precipitation in a 90-year series. A factorial experiment was designed to disentangle the importance on C pools of three growing limiting factors (nitrogen limitation, climate (temperature + precipitation) limitation and atmospheric CO 2 concentration). The relative importance of each factor was quantified by comparing the scenario with the limitation of each individual factor turned on with the non-limitation scenario. Positive CO 2 fertilization due to improvement in water use efficiency was detected by the model, but its quantitative impact improving tree growth was minimum: its average increase in ecosystem C pools ranged from 0.3 to 0.9%. At the site with cooler climate conditions (continental), the main limitation for tree growth was climate. Such limitation will be reduced under climate change and the ecosystem will store more carbon. At the site with milder climate conditions (Mediterranean), N availability was the main limiting factor albeit modulated by water availability. Such limitation could be reduced under climate change as N cycling could accelerate (higher litterfall production and decomposition rates) but also increase if droughts become more frequent and severe. In addition, the magnitude of the uncertainty related to climate model selection was much more important than CO 2 fertilization, indicating that atmospheric processes are more important than tree physiological processes when defining how much carbon could be gained (or lost) in forests under climate change. In conclusion, due to the small changes in forest C pools caused by variation of atmospheric CO 2 concentrations compared to changes caused by other growth limiting factors (nutrients, climate), reducing uncertainty related to climate projections seems a more efficient way to reduce uncertainty in tree growth projections than increasing forest model complexity.en
dc.description.sponsorshipFunding for this research has been provided by the Spanish Ministry of Economy and Competitiveness (projects AGL2012‐33465, AGL2016-76463-P), a Ramón y Cajal contract (ref.RYC‐2011‐08082) and Marie Curie Actions (ref CIG‐2012‐326718‐ECOPYREN3,H2020-MSCA-IF-2014-DENDRONUTRIENT).en
dc.format.extent44 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofEcological Modelling 407 (2019) 108737en
dc.rights© 2019 Elsevier B.V. The manuscript version is made available under the CC BY-NC-ND 4.0 license.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectEcosystem-level modelen
dc.subjectFORECAST Climateen
dc.subjectEcosystem carbonen
dc.subjectCO2 fertilization effecten
dc.subjectClimate changeen
dc.titleCO2 fertilization plays a minor role in long-term carbon accumulation patterns in temperate pine forests in the southwestern Pyreneesem
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.contributor.departmentUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. IMAB - Institute for Multidisciplinary Research in Applied Biologyes_ES
dc.rights.accessRightsAcceso embargado / Sarbidea bahitua dagoes
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccessen
dc.embargo.lift2021-07-04
dc.embargo.terms2021-07-04
dc.identifier.doi10.1016/j.ecolmodel.2019.108737
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/6PN/AGL2012‐33465en
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/AGL2016-76463-Pen
dc.relation.publisherversionhttps://doi.org/10.1016/j.ecolmodel.2019.108737
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen


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© 2019 Elsevier B.V. The manuscript version is made available under the CC BY-NC-ND 4.0 license.
Except where otherwise noted, this item's license is described as © 2019 Elsevier B.V. The manuscript version is made available under the CC BY-NC-ND 4.0 license.