| 1. Identificação | ||||
| Tipo de Referência | Artigo em Revista Científica (Journal Article) | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Site | mtc-m21d.sid.inpe.br (namespace prefix: upn:44QHRCS) | |||
| Identificador | 8JMKD3MGP3W34T/45T93QE | |||
| Repositório | sid.inpe.br/mtc-m21d/2021/12.03.16.14 (acesso restrito) | |||
| Última Atualização | 2021:12.03.16.14.29 (UTC) administrator | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21d/2021/12.03.16.14.29 | |||
| Última Atualização dos Metadados | 2022:04.04.04.50.16 (UTC) administrator | |||
| DOI | 10.5194/esd-12-1191-2021 | |||
| ISSN | 2190-4979 | |||
| Chave de Citação | SmallmanMiSoGeOmWi:2021:PaUnDo | |||
| Título | Parameter uncertainty dominates C-cycle forecast errors over most of Brazil for the 21st century  | |||
| Ano | 2021 | |||
| Mês | Nov. | |||
| Data de Acesso | 26 out. 2026 | |||
| Tipo de Trabalho | journal article | |||
| Tipo Secundário | PRE PI | |||
| Número de Arquivos | 1 | |||
| Tamanho | 29722 KiB | |||
| 2. Contextualização | ||||
| Autor | 1 Smallman, Thoma Luke 2 Milodowski, David Thomas 3 Sousa Neto, Eraclito Rodrigues de 4 Gerbrand, Koren 5 Ometto, Jean Pierre Henry Balbaud 6 Williams, Mathew | |||
| Grupo | 1 2 3 4 5 DIPE3-COGPI-INPE-MCTI-GOV-BR | |||
| Afiliação | 1 2 3 4 5 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Endereço de e-Mail do Autor | 1 2 3 eraklito@gmail.com 4 5 jean.ometto@inpe.br | |||
| Revista | Earth System Dynamics | |||
| Volume | 12 | |||
| Número | 4 | |||
| Páginas | 1191-1237 | |||
| Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 upn:44QHRCS | |||
| Histórico (UTC) | 2021-12-03 16:14:29 :: simone -> administrator :: 2022-04-04 04:50:16 :: administrator -> simone :: 2021 | |||
| 3. Conteúdo e estrutura | ||||
| É a matriz ou uma cópia? | é a matriz | |||
| Estágio do Conteúdo | concluido | |||
| Transferível | 1 | |||
| Tipo do Conteúdo | External Contribution | |||
| Tipo de Versão | publisher | |||
| Resumo | Identification of terrestrial carbon (C) sources and sinks is critical for understanding the Earth system as well as mitigating and adapting to climate change resulting from greenhouse gas emissions. Predicting whether a given location will act as a C source or sink using terrestrial ecosystem models (TEMs) is challenging due to net flux being the difference between far larger, spatially and temporally variable fluxes with large uncertainties. Uncertainty in projections of future dynamics, critical for policy evaluation, has been determined using multi-TEM intercomparisons, for various emissions scenarios. This approach quantifies structural and forcing errors. However, the role of parameter error within models has not been determined. TEMs typically have defined parameters for specific plant functional types generated from the literature. To ascertain the importance of parameter error in forecasts, we present a Bayesian analysis that uses data on historical and current C cycling for Brazil to parameterise five TEMs of varied complexity with a retrieval of model error covariance at 1 degrees spatial resolution. After evaluation against data from 2001-2017, the parameterised models are simulated to 2100 under four climate change scenarios spanning the likely range of climate projections. Using multiple models, each with per pixel parameter ensembles, we partition forecast uncertainties. Parameter uncertainty dominates across most of Brazil when simulating future stock changes in biomass C and dead organic matter (DOM). Uncertainty of simulated biomass change is most strongly correlated with net primary productivity allocation to wood (NPPwood) and mean residence time of wood (MRTwood). Uncertainty of simulated DOM change is most strongly correlated with MRTsoil and NPPwood. Due to the coupling between these variables and C stock dynamics being bi-directional, we argue that using repeat estimates of woody biomass will provide a valuable constraint needed to refine predictions of the future carbon cycle. Finally, evaluation of our multi-model analysis shows that wood litter contributes substantially to fire emissions, necessitating a greater understanding of wood litter C cycling than is typically considered in large-scale TEMs. | |||
| Área | CST | |||
| Arranjo | urlib.net > COGPI > Parameter uncertainty dominates... | |||
| Conteúdo da Pasta doc | acessar | |||
| Conteúdo da Pasta source | não têm arquivos | |||
| Conteúdo da Pasta agreement |
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| 4. Condições de acesso e uso | ||||
| Idioma | en | |||
| Arquivo Alvo | smallman-2021.pdf | |||
| Grupo de Usuários | simone | |||
| Visibilidade | shown | |||
| Permissão de Leitura | deny from all and allow from 150.163 | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/46L2FGP | |||
| Divulgação | WEBSCI; PORTALCAPES; SCOPUS. | |||
| 6. Notas | ||||
| Campos Vazios | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||