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Scaling laws explain foraminiferal pore patterns.

Julien Richirt1, Stéphane Champmartin2, Magali Schweizer3

  • 1UMR 6112 LPG-BIAF Recent and Fossil Bio-Indicators, Angers University, 2 Bd Lavoisier, F-49045, Angers, France. richirt.julien@gmail.com.

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|June 26, 2019
PubMed
Summary

This study explores how foraminifera, tiny marine organisms, form pores in their shells. These pores may reflect past ocean oxygen levels, but the rules governing their formation are unclear. The researchers use scaling laws to model how gas exchange and shell strength affect pore patterns. They find that pore size and density must balance to allow maximum porosity of about 30%. Empirical data from Ammonia, a common foraminiferal genus, supports this model. The study shows that pore patterns are not random but follow specific physical rules. These findings help scientists better understand how to use foraminiferal pores as tools for reconstructing past ocean conditions.

Keywords:
foraminiferaocean deoxygenationpaleo-oxygen proxiesmarine microfossils

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Area of Science:

  • Paleoceanography
  • Marine biogeochemistry
  • Microbial ecology

Background:

Ocean deoxygenation is a growing concern due to climate change and human activity. Scientists need tools to measure past oxygen levels to predict future changes. Foraminifera, tiny marine organisms, may help in this effort. Their shell pores could reflect past oxygen conditions. However, the factors shaping these pore patterns remain unclear. Previous studies have not fully explained the link between pore structure and oxygen levels. This uncertainty limits the use of foraminiferal pores as reliable proxies. Understanding the physical and biological controls on pore patterns is crucial. This paper addresses a gap in knowledge about the mechanisms behind these patterns. The study explores how metabolic and mechanical factors influence pore formation.

Purpose Of The Study:

This study aims to clarify the physical and biological rules that shape foraminiferal pore patterns. The researchers want to determine how gas exchange and shell strength affect pore density and size. By identifying these mechanisms, the study supports the use of foraminifera as proxies for past oxygen levels. The goal is to provide a theoretical framework for interpreting pore patterns. The researchers focus on Ammonia, a common foraminiferal genus. They analyze pore data from three pseudocryptic phylotypes of this species. The study uses scaling laws to model the relationship between pore structure and function. The findings could improve the accuracy of paleo-oxygen reconstructions.

Main Methods:

The researchers applied scaling laws to model foraminiferal pore patterns. They considered gas exchange and mechanical constraints as key factors. The model calculates the feasible combinations of pore size and density. The study uses a mathematical approach to describe these relationships. The researchers tested their model against empirical data from Ammonia. They collected pore measurements from three pseudocryptic phylotypes. The data set includes pore density and size from intertidal populations. The analysis confirms the model's predictions about pore pattern limits.

Main Results:

The model shows that pore density and size are interdependent. Maximum porosity of about 30% requires increasing pore size while reducing density. The empirical data from Ammonia supports this relationship. The study finds that only specific pore combinations are physically possible. The results align with the predicted limits of the mathematical model. The data set includes measurements from three Ammonia phylotypes. The observed pore patterns match the model's constraints. These findings suggest that both gas exchange and shell strength shape pore patterns.

Conclusions:

The study concludes that foraminiferal pore patterns are governed by physical constraints. The model shows that pore density and size must balance gas exchange and shell strength. The empirical data from Ammonia confirms these predictions. The findings provide a foundation for using pore patterns as oxygen proxies. The study highlights the importance of considering both pore size and density. The results suggest that pore patterns are not random but follow specific rules. These insights improve the potential of foraminifera as paleo-oxygen indicators. The work supports further research into the environmental controls on foraminiferal morphology.

The study shows that gas exchange and shell robustness control pore patterns. These factors determine feasible combinations of pore size and density.

The model predicts that increasing pore size while decreasing pore density allows maximum porosity of about 30%.

Both parameters must be considered because they are interdependent and together determine the physical feasibility of pore patterns.

Pore data from three pseudocryptic phylotypes of Ammonia strongly supports the model's conclusions.

The study reports a maximum porosity of about 30%, which is the upper limit predicted by the model.

The findings provide a mechanistic basis for using foraminiferal pore patterns as proxies for past ocean oxygen levels.