Improving soil carbon estimates of mudflats in Araçá Bay using spatial models that consider riverine input, wave exposure and biogeochemistry (2020)
- Authors:
- USP affiliated authors: SUMIDA, PAULO YUKIO GOMES - IO ; FIGUEIRA, RUBENS CESAR LOPES - IO ; TURRA, ALEXANDER - IO ; GORMAN, DANIEL - IO
- Unidade: IO
- DOI: 10.1016/j.ecss.2020.106734
- Subjects: PRODUTIVIDADE MARINHA; ESTUÁRIOS; CARBONO; ONDAS (OCEANOGRAFIA)
- Language: Inglês
- Imprenta:
- Source:
- Título: Estuarine, Coastal and Shelf Science
- ISSN: 0272-7714
- Volume/Número/Paginação/Ano: v. 238, p. artigo 106734, 2020
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
GORMAN, Daniel et al. Improving soil carbon estimates of mudflats in Araçá Bay using spatial models that consider riverine input, wave exposure and biogeochemistry. Estuarine, Coastal and Shelf Science, v. 238, p. artigo 106734, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ecss.2020.106734. Acesso em: 08 abr. 2026. -
APA
Gorman, D., Sumida, P. Y. G., Figueira, R. C. L., & Turra, A. (2020). Improving soil carbon estimates of mudflats in Araçá Bay using spatial models that consider riverine input, wave exposure and biogeochemistry. Estuarine, Coastal and Shelf Science, 238, artigo 106734. doi:10.1016/j.ecss.2020.106734 -
NLM
Gorman D, Sumida PYG, Figueira RCL, Turra A. Improving soil carbon estimates of mudflats in Araçá Bay using spatial models that consider riverine input, wave exposure and biogeochemistry [Internet]. Estuarine, Coastal and Shelf Science. 2020 ; 238 artigo 106734.[citado 2026 abr. 08 ] Available from: https://doi.org/10.1016/j.ecss.2020.106734 -
Vancouver
Gorman D, Sumida PYG, Figueira RCL, Turra A. Improving soil carbon estimates of mudflats in Araçá Bay using spatial models that consider riverine input, wave exposure and biogeochemistry [Internet]. Estuarine, Coastal and Shelf Science. 2020 ; 238 artigo 106734.[citado 2026 abr. 08 ] Available from: https://doi.org/10.1016/j.ecss.2020.106734 - Risk-taking and risk-avoiding behaviors by hermit crabs across multiple environmental contexts
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