Spatial Dynamics Lab
We use spatial modeling and data science to understand how marine species and ecosystems change across space and time.
Ocean conditions, species distributions, and fisheries are shifting rapidly in response to climate change. Our lab develops models and decision-support tools that help scientists, managers, and fishing communities understand where species are, how they are moving, and what those changes mean for sustainable fisheries and ocean planning. By combining ecological data, fisheries observations, and advanced spatial modeling approaches, the lab translates complex dynamics into insights that support management, conservation, and working waterfronts in the Gulf of Maine and beyond.
We aim to:
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Understand how marine species distributions and ecosystems change across space and time.
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Develop spatial models that inform sustainable fisheries management and ecosystem-based decision-making.
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Translate complex ecological and fisheries data into accessible tools and insights for managers and industry.
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Support climate-ready fisheries by identifying shifts in species, habitats, and fishing opportunities.
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Collaborate across disciplines to connect ecological modeling with real-world management and community needs.
Lab Team
Our Methods
Using spatial data and modeling to understand dynamic ocean systems.
The Spatial Dynamics Lab combines ecological theory, fisheries science, and advanced statistical modeling to understand how species and ecosystems change across space and time. The lab develops spatially explicit models that integrate survey data, fisheries observations, environmental conditions, and emerging data streams. These approaches allow researchers and partners to explore how climate change, fishing activity, and management decisions influence marine ecosystems and the communities that depend on them.
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Spatial Statistical Modeling
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Species Distribution and Habitat Modeling
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Data Integration
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Geospatial Analysis
Using spatial data and modeling to understand dynamic ocean systems.
The Spatial Dynamics Lab combines ecological theory, fisheries science, and advanced statistical modeling to understand how species and ecosystems change across space and time. The lab develops spatially explicit models that integrate survey data, fisheries observations, environmental conditions, and emerging data streams. These approaches allow researchers and partners to explore how climate change, fishing activity, and management decisions influence marine ecosystems and the communities that depend on them.
- Spatial Statistical Modeling
- Species Distribution and Habitat Modeling
- Data Integration
- Geospatial Analysis
Research Lab Projects
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Climate Adaptation Strategies for Northeast U.S. Fishing Communities
We are leading several interdisciplinary projects to provide community-scale information that can be used to guide adaptation and planning for future ecosystem and fishery changes. …
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Using Satellite Data to Support Sustainable Fisheries
We are working to develop a Fisheries and Climate Toolkit (FaCeT) to track and forecast fisheries-relevant physical and biological ocean features that will inform dynamic …
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Ecosystem Impacts of Warming
The northwest Atlantic is much warmer than it was a decade ago. This project documents how plankton and fish communities have changed and uses computer …
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2025 Casco Bay Ecosystem Monitoring Report
Dive into the latest findings from a decade of nearshore monitoring in one of the world's fastest-warming marine ecosystems.
Reports
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Sea State Recap: Developing the Blue Economy and Supporting Working Waterfronts
At our latest Sea State Seminar, we turned our attention to the people and places that keep Maine’s coastal economies alive. Framed by the theme …
Perspectives
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2025 Research Progress Update
Each year, to keep you updated on our research team's progress, we develop an update showcasing some of our lab's achievements. More broadly, this update …
Reports
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Sea State Recap: Adapting Fisheries & Seafood
In this installment of the Sea State series at the Gulf of Maine Research Institute (GMRI), we hosted a conversation about how collaboration and shared …
Perspectives