↓ Skip to main content

Holocene paleo-sea level changes along the coast of Rio de Janeiro, southern Brazil: Comment on Castro et al. (2014)

Overview of attention for article published in Anais da Academia Brasileira de Ciências, November 2016
Altmetric Badge

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
28 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Holocene paleo-sea level changes along the coast of Rio de Janeiro, southern Brazil: Comment on Castro et al. (2014)
Published in
Anais da Academia Brasileira de Ciências, November 2016
DOI 10.1590/0001-3765201620140641
Pubmed ID
Authors

RODOLFO J. ANGULO, PAULO C.F. GIANNINI, MARIA CRISTINA DE SOUZA, GUILHERME C. LESSA

Abstract

The present work discusses and reinterprets paleo-sea level indicators used to build Holocene sea-level curve for the coast of Rio de Janeiro at former works. We conclude that: (a) the paleo-sea levels inferred by vermetid remains show that sea-level has fallen over the past 4400 years, at least; (b) the paleo-sea level inferred by the beachrock facies and dated shells of Jaconé shows that sea-level was near the present elevation between 8198 and 5786 years before present; and (c) several shells from other beachrocks were deposited probably thousands of years after the specimens died and consequently do not allow precise reconstructions of paleo-sea levels. These conclusions differ from the conclusions of the original paper.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Professor 5 18%
Student > Master 5 18%
Student > Doctoral Student 3 11%
Student > Ph. D. Student 2 7%
Student > Bachelor 2 7%
Other 4 14%
Unknown 7 25%
Readers by discipline Count As %
Earth and Planetary Sciences 12 43%
Environmental Science 3 11%
Agricultural and Biological Sciences 2 7%
Computer Science 1 4%
Psychology 1 4%
Other 1 4%
Unknown 8 29%