Coastal New England MBON
Tracking Atlantic cod, common terns and their forage in the coastal Gulf of Maine, from the Isles of Shoals to Casco Bay.
The Coastal New England MBON is led by Nathan Furey of the Fish and Movement Ecology Lab at the University of New Hampshire, working from the UNH Shoals Marine Laboratory at the Isles of Shoals and with partners across New Hampshire and southern Maine.
The Coastal New England project integrates powerful technologies (acoustic telemetry, environmental DNA [eDNA], and acoustics) with traditional fisheries sampling to quantify impacts of changes in local and regional water conditions on individuals, populations, and community structure. Research includes study of the impacts of forage species and environmental conditions on Atlantic cod and common terns in both New Hampshire (Isles of Shoals) and southern Maine (Casco Bay) coastal waters.
To study the movements of these predators, tracking tags (GPS technology for terns, acoustic technology for Atlantic cod) are used to follow their movements. We will also examine their diet, by analyzing gut contents from Atlantic cod (both visually and via genomic methods) and terns (via genomics of fecal samples). The availability of forage species (including river herring, Atlantic herring, and squid) can be quantified through tracking, active acoustics, passive acoustics, and eDNA of water samples. Information on animal movements and diet can be integrated with a variety of environmental conditions from oceanographic buoys, other sensors, and ocean simulation models. Mathematical models are used to predict how changes in water temperature and diet will affect Atlantic cod and terns. Comparing and contrasting species’ responses to environmental change helps determine the “winners and losers” of climate change. All efforts each year are informed by a variety of stakeholders representing resource managers and non-profit organizations. The Coastal New England team also includes experts in data management and accessibility to ensure data are accessible in a timely manner.
Collectively, these results demonstrate the value in novel technologies in tracking shifts in biodiversity across space and time. This project’s efforts build on the known strengths of each method (eDNA, diet analyses, active acoustics, and passive acoustics) while also exploring their integration and defining scales of appropriate use. Definitions of how each method describes marine biodiversity in both unique but also shared ways are explored. This knowledge allows stakeholders to integrate these methods into their own efforts, aiding research and monitoring. Marine ecosystems are dynamic, and this project’s approach determines at which scales ecosystem components change, and which methods best detect such variation. Broadly, results demonstrate the relative importance of environmental conditions and food availability on marine communities to promote proper conservation and management in a rapidly changing Gulf of Maine. The project engages a variety of stakeholders, including New Hampshire Fish and Game Department, National Marine Fisheries Service, Maine Department of Marine Resources, National Audubon Society, and the Piscataqua Region Estuarine Partnership.

BioTrack
Mapping marine biodiversity hotspots by integrating satellite and acoustic animal tracking with remotely sensed environmental data.
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BioSound
Listening to the ocean — advancing passive acoustic monitoring as an indicator of marine biodiversity.
Learn moreeDNA
Developing standardized environmental DNA protocols and pipelines for marine biodiversity assessment across MBON nodes.
Learn moreUNH - Coastal New England MBON - Atlantic cod
This is the OBIS extraction of the Atlantic Cooperative Telemetry and University of New Hampshire (UNH) UNH - Coastal New England MBON - Atlantic cod, consisting of the release tagging metadata, i.e.
View datasetMarine zooplankton community structure through environmental DNA metabarcoding in the Florida Keys, collected by the South Florida Program (NOAA/AOML) and the Marine Biodiversity Observation Network (MBON)
This data consists of counts of putative zooplankton OTUs, revealed through metabarcoding of the cytochrome oxidase I (COI) gene extracted from filtered water samples in the Florida Keys National Marine Sanctuary during 2016.
View datasetCan we manage fisheries with the inherent uncertainty from eDNA?
Christopher L. Jerde · Journal of Fish Biology
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