Apparent ecosystem carbon turnover time: Uncertainties and robust features

Detalhes bibliográficos
Autor(a) principal: Fan, Naixin
Data de Publicação: 2020
Outros Autores: Koirala, Sujan, Reichstein, Markus, Thurner, Martin, Avitabile, Valerio, Santoro, Maurizio, Ahrens, Bernhard, Weber, Ulrich, Carvalhais, Nuno
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/121303
Resumo: No. 4000113100/14/I-NB
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spelling Apparent ecosystem carbon turnover time: Uncertainties and robust featuresEarth and Planetary Sciences(all)SDG 13 - Climate ActionSDG 15 - Life on LandNo. 4000113100/14/I-NBThe turnover time of terrestrial ecosystem carbon is an emergent ecosystem property that quantifies the strength of land surface on the global carbon cycle-climate feedback. However, observation- and modelingbased estimates of carbon turnover and its response to climate are still characterized by large uncertainties. In this study, by assessing the apparent whole ecosystem carbon turnover timesas the ratio between carbon stocks and fluxes, we provide an update of this ecosystem level diagnostic and its associated uncertainties in high spatial resolution (0.083) using multiple, state-of-the-art, observation-based datasets of soil organic carbon stock (Csoil), vegetation biomass (Cveg) and gross primary productivity (GPP). Using this new ensemble of data, we estimated the global median to be 43C7 -7 yr (medianCdifference to percentile 75 -difference to percentile 25) when the full soil is considered, in contrast to limiting it to 1m depth. Only considering the top 1m of soil carbon in circumpolar regions (assuming maximum active layer depth is up to 1 m) yields a global median of 37C3 -6 yr, which is longer than the previous estimates of 23C7 -4 yr (Carvalhais et al., 2014). We show that the difference is mostly attributed to changes in global Csoil estimates. Csoil accounts for approximately 84% of the total uncertainty in global estimates; GPP also contributes significantly (15 %), whereas Cveg contributes only marginally (less than 1 %) to the total uncertainty. The high uncertainty in Csoil is reflected in the large range across state-of-the-art data products, in which full-depth Csoil spans between 3362 and 4792 PgC. The uncertainty is especially high in circumpolar regions with an uncertainty of 50% and a low spatial correlation between the different datasets (0:2 < r < 0:5) when compared to other regions (0:6 < r < 0:8). These uncertainties cast a shadow on current global estimates of in circumpolar regions, for which further geographical representativeness and clarification on variations in Csoil with soil depth are needed. Different GPP estimates contribute significantly to the uncertainties of mainly in semiarid and arid regions, whereas Cveg causes the uncertainties of in the subtropics and tropics. In spite of the large uncertainties, our findings reveal that the latitudinal gradients of are consistent across different datasets and soil depths. The current results show a strong ensemble agreement on the negative correlation between and temperature along latitude that is stronger in temperate zones (30-60 N) than in the subtropical and tropical zones (30 S-30 N). Additionally, while the strength of the -precipitation correlation was dependent on the Csoil data source, the latitudinal gradients also agree among different ensemble members. Overall, and despite the large variation in , we identified robust features in the spatial patterns of that emerge beyond the differences stemming from the data-driven estimates of Csoil, Cveg and GPP. These robust patterns, and associated uncertainties, can be used to infer -climate relationships and for constraining contemporaneous behavior of Earth system models (ESMs), which could contribute to uncertainty reductions in future projections of the carbon cycle-climate feedback. The dataset of is openly available at https://doi.org/10.17871/bgitau.201911 (Fan et al., 2019).DCEA - Departamento de Ciências e Engenharia do AmbienteRUNFan, NaixinKoirala, SujanReichstein, MarkusThurner, MartinAvitabile, ValerioSantoro, MaurizioAhrens, BernhardWeber, UlrichCarvalhais, Nuno2021-07-19T22:18:02Z2020-10-162020-10-16T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article20application/pdfhttp://hdl.handle.net/10362/121303eng1866-3508PURE: 32649596https://doi.org/10.5194/essd-12-2517-2020info: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:RCAAP2024-03-11T05:03:32Zoai:run.unl.pt:10362/121303Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:44:33.535399Repositório 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 Apparent ecosystem carbon turnover time: Uncertainties and robust features
title Apparent ecosystem carbon turnover time: Uncertainties and robust features
spellingShingle Apparent ecosystem carbon turnover time: Uncertainties and robust features
Fan, Naixin
Earth and Planetary Sciences(all)
SDG 13 - Climate Action
SDG 15 - Life on Land
title_short Apparent ecosystem carbon turnover time: Uncertainties and robust features
title_full Apparent ecosystem carbon turnover time: Uncertainties and robust features
title_fullStr Apparent ecosystem carbon turnover time: Uncertainties and robust features
title_full_unstemmed Apparent ecosystem carbon turnover time: Uncertainties and robust features
title_sort Apparent ecosystem carbon turnover time: Uncertainties and robust features
author Fan, Naixin
author_facet Fan, Naixin
Koirala, Sujan
Reichstein, Markus
Thurner, Martin
Avitabile, Valerio
Santoro, Maurizio
Ahrens, Bernhard
Weber, Ulrich
Carvalhais, Nuno
author_role author
author2 Koirala, Sujan
Reichstein, Markus
Thurner, Martin
Avitabile, Valerio
Santoro, Maurizio
Ahrens, Bernhard
Weber, Ulrich
Carvalhais, Nuno
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv DCEA - Departamento de Ciências e Engenharia do Ambiente
RUN
dc.contributor.author.fl_str_mv Fan, Naixin
Koirala, Sujan
Reichstein, Markus
Thurner, Martin
Avitabile, Valerio
Santoro, Maurizio
Ahrens, Bernhard
Weber, Ulrich
Carvalhais, Nuno
dc.subject.por.fl_str_mv Earth and Planetary Sciences(all)
SDG 13 - Climate Action
SDG 15 - Life on Land
topic Earth and Planetary Sciences(all)
SDG 13 - Climate Action
SDG 15 - Life on Land
description No. 4000113100/14/I-NB
publishDate 2020
dc.date.none.fl_str_mv 2020-10-16
2020-10-16T00:00:00Z
2021-07-19T22:18:02Z
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/10362/121303
url http://hdl.handle.net/10362/121303
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1866-3508
PURE: 32649596
https://doi.org/10.5194/essd-12-2517-2020
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 20
application/pdf
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
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