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Carbon density in boreal forests responds non-linearly to temperature: an example from the Greater Khingan Mountains, northeast China

2023Journal article Open access
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dc.contributor.authorLiu, Yang
dc.contributor.authorTrancoso, Ralph
dc.contributor.authorMa, Qin
dc.contributor.authorCiais, Philippe
dc.contributor.authorGouvêa, Lidiane
dc.contributor.authorYue, Chaofang
dc.contributor.authorAssis, Jorge
dc.contributor.authorBlanco, Juan A.
dc.date.accessioned2024-04-03T08:57:22Z
dc.date.available2024-04-03T08:57:22Z
dc.date.issued2023
dc.description.abstractBoreal forests play a crucial role in the global carbon (C) cycle and in climate stabilization. To better predict global C budgets, it is important to accurately estimate the size of forest C pools, and to identify the factors affecting them. We used national forest inventory data for the Greater Khingan Mountains, northeast China from 1999 to 2018 and 149 additional field plots to estimate C storage and its changes in forest vegetation, excluding C stored in soils, and to calculate the total C density in forest ecosystems. From 1999 to 2018, the vegetation C storage and density increased by 92.22 Tg and 4.30 Mg C ha-1, respectively, while the mean C sink was 4.61 Tg C yr-1. Carbon storage and density showed the same pattern, with the largest stocks in trees, followed by herbs, shrubs, and then litter. Mean C density was higher in mature forests than in young forests. The maximum C density was recorded in Populus davidiana forests, and was 2.2-times larger than in Betula davurica forests (the minimum). The mean (& PLUSMN; standard error) total C density of forest ecosystems was 111.3 & PLUSMN; 2.9 Mg C ha-1, including C stored in soils. Mean annual temperature (MAT) controlled total C density, as MAT had positive effects when it was lower than the temperature of the inflection point (-2.1 to -4.6 degrees C) and negative effects when it was above the inflection point. The rate of change in the total C density depended on the quantile points of the conditional distribution of total C density. Natural and anthropogenic disturbances had weaker effects on C density than temperature and precipitation. In conclusion, our results indicate that there might be a temperatureinduced pervasive decrease in C storage and an increase in tree mortality across Eastern Asian boreal forests with future climate warming.pt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.doi10.1016/j.agrformet.2023.109519pt_PT
dc.identifier.issn0168-1923
dc.identifier.urihttp://hdl.handle.net/10400.1/20563
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationAlgarve Centre for Marine Sciences
dc.relationAlgarve Centre for Marine Sciences
dc.relationCentre for Marine and Environmental Research
dc.relationClimate-informed prioritization of marine biodiversity hotspots to support the implementation of the post-2020 biodiversity framework
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectBoosted regression treespt_PT
dc.subjectCarbon storagept_PT
dc.subjectCarbon storage changept_PT
dc.subjectClimate influencespt_PT
dc.subjectForest vegetationpt_PT
dc.subjectTemperature thresholdpt_PT
dc.titleCarbon density in boreal forests responds non-linearly to temperature: an example from the Greater Khingan Mountains, northeast Chinapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleCentre for Marine and Environmental Research
oaire.awardTitleClimate-informed prioritization of marine biodiversity hotspots to support the implementation of the post-2020 biodiversity framework
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04326%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04326%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0101%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FBIA-CBI%2F6515%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND5ed/2022.00861.CEECIND%2FCP1729%2FCT0003/PT
oaire.citation.startPage109519pt_PT
oaire.citation.titleAgricultural and Forest Meteorologypt_PT
oaire.citation.volume338pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream3599-PPCDT
oaire.fundingStreamCEEC IND5ed
person.familyNameGouvêa
person.familyNameAssis
person.givenNameLidiane
person.givenNameJorge
person.identifier.ciencia-idB511-30C7-FD3D
person.identifier.ciencia-id5C1D-05B6-29F7
person.identifier.orcid0000-0001-7010-5500
person.identifier.orcid0000-0002-6624-4820
person.identifier.ridG-9688-2012
person.identifier.scopus-author-id55500349800
person.identifier.scopus-author-id53463298700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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