Skip to content
WHOI Wordmark
EN687 Summer Transect 2022 group photo
AT46 Winter Transect 2022 group photo
EN668 Summer Transect 2021 group photo courtesy G. Matthias (URI)
EN661 Winter Transect 2021 group photo courtesy E. Peacock (WHOI)
EN657 Fall Transect 2020 group photo by Lynne Butler (URI)

12 investigators
from 5 organizations

NES-LTR

12 investigators
from 5 organizations

EN687 Summer Transect 2022 group photo

What is the NES-LTER?

The Northeast U.S. Shelf (NES) Long-Term Ecological Research (LTER) project integrates observations, experiments, and models to understand and predict how planktonic food webs are changing in the region, and how those changes may impact the productivity of higher trophic levels.

NES-LTER news highlights

Data Jam Creativity Continues into 2022-23

In our fifth consecutive year of Data Jamming as part of education and outreach for the Northeast US Shelf Long Term Ecological Research (NES-LTER) project, we are pleased to announce the winners! From 30 full Data Jam projects (116 students) and 6 Mini Jam projects (23 students), 3 high schools, and 2 middle schools– we commend…

READ MORE

ASM is where the LTER Network shines

Four years ago, when our team attended the LTER Network All Scientists’ Meeting (ASM), we were “newbies”, only a year into playing our role in this long term network of researchers.  After an extra 1-year delay of the meeting, our team returned with more attendees, more connections, more posters, more workshops, and more appreciation. Our…

READ MORE

Data Jam 2021-22 Jammin’ more than ever

120 students and 38 projects from grades 7 through 12 generated raps, a symphony, dancing scallops and wind and satellites, claymation, cupcake data points, board games, poems, comic strips, and puppet shows. Students used 13 different datasets from the provided Data Jam datasets and entertained 17 judges from the NES research team for days. While…

READ MORE

Scallop Balance- Modeling for Management

In the recent publication of Fisheries Oceanography, Zhengchen Zang et al. share their sea scallop scope for growth (SFG) model. Scallop energy dynamics depend on the spatial and seasonal variability on the Northeast US Shelf. The scallop SFG model is therefore driven by high-resolution hydrodynamic and biological models and provides key information about scallop growth…

READ MORE

L&O Letters- When It’s Spring in the Gulf of Maine

In a recent publication to Limnology and Oceanography Letters, Zhengchen Zang et al. share work on the role of silicate in the Gulf of Maine. In this study, they employed an artificial neural network method to identify the spring blooms from satellite images and reconstructed the spring bloom magnitude with strong interannual variability. This study…

READ MORE

Data Portals

The NES-LTER produces observational data, derived data products, and model data. Observational data are obtained in real-time from moored underwater instruments, underway and from sampling on research cruises, and post-cruise with laboratory analyses.