PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 8, 2026Journal of Micropalaeontology0 citationsOpen Access

Can the distribution of foraminifera locate the Early Eocene Climatic Optimum (EECO) and Middle Eocene Climatic Optimum (MECO) events in the Eocene succession of the Isle of Wight (UK)?

MHMalcolm B. HartMAMark E. A. Alex-SandersCSChristopher Smart

Key Points

  • This research aims to establish a zonation based on foraminifera to identify climatic events in the Eocene succession of the Isle of Wight.
  • Developed a zonation for the London Clay Formation using foraminifera assemblages
  • Analyzed palaeoecological changes during the Early Eocene Climatic Optimum and Middle Eocene Climatic Optimum
  • Examined occurrences of larger foraminifera across various Eocene successions
  • Indicated a significant sea level rise and fall during the Early Eocene Climatic Optimum
  • Documented a thermal event linked with larger foraminifera occurrences during the Lutetian–Bartonian interval
  • Suggests glacio-eustatic responses to both the EECO and MECO warming events

Abstract

Abstract. A zonation for the London Clay Formation, based on foraminifera, is presented for the first time, and the assemblage is used to determine the palaeoecological changes recorded in the succession. Within the lower Eocene there is evidence of a sea level rise and fall within the Early Eocene Climatic Optimum (EECO), indicating that this might potentially be a glacio-eustatic response to the EECO warming. The occurrence of larger foraminifera in the Lutetian–Bartonian interval of the Whitecliff Bay, Selsey Bill, offshore Jersey, and Cotentin Peninsula (France) successions also indicates a warming event (Late Lutetian Thermal Event and Middle Eocene Climatic Optimum, MECO) that may also have generated a glacio-eustatic response.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Hart et al. (2026) studied this question.

synapsesocial.com/papers/69fd7f4fbfa21ec5bbf07cb5https://doi.org/10.5194/jm-45-315-2026
Ask AI
Helpful
Bookmark
Share
View Full Paper