Insights into coral reef benthic dynamics from nonlinear spatial forecasting.

Area of Science:

• Ecology
• Marine Biology
• Complex Systems

Background:

• Nonlinear time-series forecasting, also known as empirical dynamic modeling, is a valuable tool for differentiating random temporal behavior from nonlinear deterministic dynamics.
• Previous research has successfully extended nonlinear time-series forecasting methods to continuous spatial data.
• Understanding spatial dynamics is crucial for managing and conserving ecological systems, especially coral reefs.

Purpose of the Study:

• To adapt spatial forecasting techniques for discrete data.
• To investigate the prevalence of nonlinear determinism in the spatial arrangements of coral and algal taxa at Palmyra Atoll.
• To explore the potential of spatial patterning as an indicator of ecological system dynamics.

Main Methods:

• Adjusted spatial forecasting methods to accommodate discrete spatial data.
• Applied the modified technique to analyze irregular spatial configurations of coral and algal taxa.
• Examined spatial distributions across different locations and time points.

Main Results:

• Evidence of nonlinear determinism was found in the spatial distributions of certain coral and algal taxa at specific locations.
• The detected signals of nonlinear determinism exhibited temporal variability.
• Spatial randomness was observed in early (recruitment-dominated) and late-successional phases.

Conclusions:

• Nonlinear spatial determinism may serve as an indicator of intermediate successional stages in ecological systems.
• Spatial randomness characterizes early and late-successional phases of ecological development.
• Analyzing spatial patterning in sessile taxa offers a novel approach to understanding complex ecological dynamics and recovery phases.