Statistical modeling of changes in relative sea level in Maine during the Holocene Era

N. S. Altman, G. Balco, C. Crainiceanu, W. R. Gehrels, J. Qiu, J. Staudenmayer, P. Sullivan

Research output: Contribution to journalArticle

Abstract

Understanding past relative sea-level changes is important to a number of social and scientific questions, including the effects of global climate change and future land-use planning under scenarios of accelerated sea-level rise with a concomitant increased threat to coastal areas around the world. In particular, accurately characterizing millennial sea-level changes is important in evaluating vertical movements of the Earth's crust that happen in response to the advances and retreats of ice sheets during long-term climatic cycles. In this paper, we analyze sea-level data from several Maine salt marshes previously reported in a paper from the geological literature. We address these data and questions of geological interest with a 'smooth transition' model.

Original languageEnglish (US)
Pages (from-to)298-305
Number of pages8
JournalEnvironmetrics
Volume24
Issue number5
DOIs
StatePublished - Aug 1 2013

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Keywords

  • Bootstrap
  • Carbon dating
  • Geology
  • Measurement error
  • Segmented regression
  • Smooth transition

ASJC Scopus subject areas

  • Statistics and Probability
  • Ecological Modeling

Cite this

Altman, N. S., Balco, G., Crainiceanu, C., Gehrels, W. R., Qiu, J., Staudenmayer, J., & Sullivan, P. (2013). Statistical modeling of changes in relative sea level in Maine during the Holocene Era. Environmetrics, 24(5), 298-305. https://doi.org/10.1002/env.2209