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dc.creatorLiu, Yanges_ES
dc.creatorTrancoso, Ralphes_ES
dc.creatorMa, Qines_ES
dc.creatorCiais, Philippees_ES
dc.creatorGouvêa, Lidiane P.es_ES
dc.creatorYue, Chaofanges_ES
dc.creatorAssis, Jorgees_ES
dc.creatorBlanco Vaca, Juan Antonioes_ES
dc.date.accessioned2023-05-25T15:02:20Z
dc.date.available2023-05-25T15:02:20Z
dc.date.issued2023
dc.identifier.citationLiu, Y., Trancoso, R., Ma, Q., Ciais, P., Gouvêa, L. P., Yue, C., Assis, J., Blanco, J. A. (2023) Carbon density in boreal forests responds non-linearly to temperature: an example from the Greater Khingan Mountains, northeast China. Agricultural and Forest Meteorology, 338, 1-12. https://doi.org/10.1016/j.agrformet.2023.109519.en
dc.identifier.issn0168-1923
dc.identifier.urihttps://hdl.handle.net/2454/45309
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 (± standard error) total C density of forest ecosystems was 111.3 ± 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 °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 temperature-induced pervasive decrease in C storage and an increase in tree mortality across Eastern Asian boreal forests with future climate warming.en
dc.description.sponsorshipThis study was funded by the National Natural Science Foundation of China (32160363), the Natural Science Foundation of Inner Mongolia Autonomous Region (2021MS03096), the Science and Technology Planning Program of Inner Mongolia Autonomous Region (2020GG0067), the Foundation for Science and Technology (FCT) of Portugal through projects UIDB/04326/2020, UIDP/04326/2020, LA/ P/0101/2020, PTDC/BIA-CBI/6515/2020, and the Individual Call to Scientific Employment Stimulus 2022.00861. Open access funding provided by the Public University of Navarre.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherElsevieren
dc.relation.ispartofAgricultural and Forest Meteorology 338 (2023) 109519en
dc.rights© 2023 The Author(s). This is an open access article under the CC BY-NC-ND license.en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBoosted regression treesen
dc.subjectCarbon storageen
dc.subjectCarbon storage changeen
dc.subjectClimate influencesen
dc.subjectForest vegetationen
dc.subjectTemperature thresholden
dc.titleCarbon density in boreal forests responds non-linearly to temperature: an example from the Greater Khingan Mountains, northeast Chinaen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.date.updated2023-05-25T14:56:38Z
dc.contributor.departmentCienciases_ES
dc.contributor.departmentZientziakeu
dc.contributor.departmentInstitute for Multidisciplinary Research in Applied Biology - IMABen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.doi10.1016/j.agrformet.2023.109519
dc.relation.publisherversionhttps://doi.org/10.1016/j.agrformet.2023.109519
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes


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© 2023 The Author(s). This is an open access article under the CC BY-NC-ND license.
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El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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