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Updated: Jun 13, 2026

09:19
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
Published on: April 18, 2025
Ecological processes can synchronize marine population dynamics over continental scales
Tarik C Gouhier1, Frédéric Guichard, Bruce A Menge
1Department of Zoology, Oregon State University, Corvallis, OR 97331, USA. tarik.gouhier@gmail.com
Summary
Local and regional ecological processes influence mussel population abundance. Dispersal and local dynamics synchronize mussel populations across the West Coast, impacting continental-scale distribution.
Area of Science:
- Marine ecology
- Population dynamics
- Ecological modeling
Background:
- Classical ecological theory posits local processes govern demographic rates and dispersal, while regional factors dictate abundance patterns.
- Understanding the interplay between local and regional drivers is crucial for predicting population distributions in marine ecosystems.
Purpose of the Study:
- To infer the relative influence of local and regional processes on the distribution of mussel population abundance.
- To compare observed mussel population dynamics with predictions from dynamical models under varying dispersal and environmental conditions.
Main Methods:
- Utilized spatial synchrony as an indicator to analyze population abundance data of Mytilus californianus along the U.S. West Coast.
- Employed dynamical models with different dispersal and environmental treatments to simulate and compare population dynamics.
Main Results:
- Observed synchronized fluctuations in mussel populations across the entire West Coast, spanning 1,800 km.
- Demonstrated that limited larval dispersal interacts with local demographic processes to create spatial synchrony patterns.
- Showcased the significant role of dispersal and local dynamics in governing continental-scale abundance distribution.
Conclusions:
- Dispersal and local population dynamics are critical drivers of continental-scale abundance distribution for Mytilus californianus.
- Findings suggest limitations in using 'climate envelope' models for predicting large-scale ecosystem responses to global climate change.
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