Open Access Open Access  Restricted Access Subscription Access

Monsoon Reconstructions using Bulk and Individual Foraminiferal Analyses in Marine Sediments Offshore India


Affiliations
1 Department of Geosciences, University of Arizona, 1040 E, 4th Street Tucson, AZ 85721, United States
2 Department of Earth, Environmental, and Planetary Sciences, Brown University, 324 Brook Street, Providence, RI 02912, United States
 

Planktic foraminiferal geochemistry has yielded extensive insights into Cenozoic climate change over timescales ranging from centuries to millions of years. Additionally, recent studies have targeted reconstructing sub-centennial climate signals, including past seasonality, using the stable oxygen isotopic composition (δ18O) in individual tests of planktic foraminifera. Here we assess the signal involved in reconstructing past Indian monsoon strength and seasonality using bulk-foraminiferal and individual foraminiferal analysis (IFA). We focus on three areas offshore India and study the regional sensitivity of foraminiferal carbonate to monsoonal runoff using a forward-model that includes newly re-evaluated relationships between local salinity and seawater-δ18O. We then evaluate the utility of foraminiferal-δ18O across these regions in reconstructing monsoon variability. We find that the foraminiferal-δ 18O signal is dominated by processes that control seawater-δ18O variations in the Bay of Bengal versus temperature variations in the Arabian Sea and discuss the implications for the IFA-δ18O signal. Our findings support that both bulk and individual foraminiferal records developed offshore India can provide skilful reconstructions of past monsoon rainfall variability. We conclude that statistical analyses such as that provided in this work can offer useful blueprints to interpreting the relationship between monsoon rainfall and foraminiferal geochemistry.

Keywords

Forward-Modelling, Individual Foraminiferal Analysis, Palaeomonsoon, Planktic Foraminifera.
User
Notifications
Font Size

Abstract Views: 459

PDF Views: 120




  • Monsoon Reconstructions using Bulk and Individual Foraminiferal Analyses in Marine Sediments Offshore India

Abstract Views: 459  |  PDF Views: 120

Authors

Kaustubh Thirumalai
Department of Geosciences, University of Arizona, 1040 E, 4th Street Tucson, AZ 85721, United States
Steven C. Clemens
Department of Earth, Environmental, and Planetary Sciences, Brown University, 324 Brook Street, Providence, RI 02912, United States

Abstract


Planktic foraminiferal geochemistry has yielded extensive insights into Cenozoic climate change over timescales ranging from centuries to millions of years. Additionally, recent studies have targeted reconstructing sub-centennial climate signals, including past seasonality, using the stable oxygen isotopic composition (δ18O) in individual tests of planktic foraminifera. Here we assess the signal involved in reconstructing past Indian monsoon strength and seasonality using bulk-foraminiferal and individual foraminiferal analysis (IFA). We focus on three areas offshore India and study the regional sensitivity of foraminiferal carbonate to monsoonal runoff using a forward-model that includes newly re-evaluated relationships between local salinity and seawater-δ18O. We then evaluate the utility of foraminiferal-δ18O across these regions in reconstructing monsoon variability. We find that the foraminiferal-δ 18O signal is dominated by processes that control seawater-δ18O variations in the Bay of Bengal versus temperature variations in the Arabian Sea and discuss the implications for the IFA-δ18O signal. Our findings support that both bulk and individual foraminiferal records developed offshore India can provide skilful reconstructions of past monsoon rainfall variability. We conclude that statistical analyses such as that provided in this work can offer useful blueprints to interpreting the relationship between monsoon rainfall and foraminiferal geochemistry.

Keywords


Forward-Modelling, Individual Foraminiferal Analysis, Palaeomonsoon, Planktic Foraminifera.



DOI: https://doi.org/10.18520/cs%2Fv119%2Fi2%2F328-334