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

Detalhes bibliográficos
Autor(a) principal: Liu, Yang
Data de Publicação: 2023
Outros Autores: Trancoso, Ralph, Ma, Qin, Ciais, Philippe, Gouvêa, Lidiane, Yue, Chaofang, Assis, Jorge, Blanco, Juan A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/20563
Resumo: Boreal 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.
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spelling Carbon density in boreal forests responds non-linearly to temperature: an example from the Greater Khingan Mountains, northeast ChinaBoosted regression treesCarbon storageCarbon storage changeClimate influencesForest vegetationTemperature thresholdBoreal 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.ElsevierSapientiaLiu, YangTrancoso, RalphMa, QinCiais, PhilippeGouvêa, LidianeYue, ChaofangAssis, JorgeBlanco, Juan A.2024-04-03T08:57:22Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/vnd.openxmlformats-officedocument.wordprocessingml.documenthttp://hdl.handle.net/10400.1/20563eng0168-192310.1016/j.agrformet.2023.109519info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-11-29T10:41:49Zoai:sapientia.ualg.pt:10400.1/20563Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-29T10:41:49Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Carbon density in boreal forests responds non-linearly to temperature: an example from the Greater Khingan Mountains, northeast China
title Carbon density in boreal forests responds non-linearly to temperature: an example from the Greater Khingan Mountains, northeast China
spellingShingle Carbon density in boreal forests responds non-linearly to temperature: an example from the Greater Khingan Mountains, northeast China
Liu, Yang
Boosted regression trees
Carbon storage
Carbon storage change
Climate influences
Forest vegetation
Temperature threshold
title_short Carbon density in boreal forests responds non-linearly to temperature: an example from the Greater Khingan Mountains, northeast China
title_full Carbon density in boreal forests responds non-linearly to temperature: an example from the Greater Khingan Mountains, northeast China
title_fullStr Carbon density in boreal forests responds non-linearly to temperature: an example from the Greater Khingan Mountains, northeast China
title_full_unstemmed Carbon density in boreal forests responds non-linearly to temperature: an example from the Greater Khingan Mountains, northeast China
title_sort Carbon density in boreal forests responds non-linearly to temperature: an example from the Greater Khingan Mountains, northeast China
author Liu, Yang
author_facet Liu, Yang
Trancoso, Ralph
Ma, Qin
Ciais, Philippe
Gouvêa, Lidiane
Yue, Chaofang
Assis, Jorge
Blanco, Juan A.
author_role author
author2 Trancoso, Ralph
Ma, Qin
Ciais, Philippe
Gouvêa, Lidiane
Yue, Chaofang
Assis, Jorge
Blanco, Juan A.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Liu, Yang
Trancoso, Ralph
Ma, Qin
Ciais, Philippe
Gouvêa, Lidiane
Yue, Chaofang
Assis, Jorge
Blanco, Juan A.
dc.subject.por.fl_str_mv Boosted regression trees
Carbon storage
Carbon storage change
Climate influences
Forest vegetation
Temperature threshold
topic Boosted regression trees
Carbon storage
Carbon storage change
Climate influences
Forest vegetation
Temperature threshold
description Boreal 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.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01T00:00:00Z
2024-04-03T08:57:22Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/20563
url http://hdl.handle.net/10400.1/20563
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0168-1923
10.1016/j.agrformet.2023.109519
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/vnd.openxmlformats-officedocument.wordprocessingml.document
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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