26 Benthic Invertebrate Indices

Last updated July 23, 2026

Description: Aggregate macrobenthos and megabenthos invertebrate indices from fish stomach contents

Contributor(s): Maxwell Grezlik, Sarah Gaichas, James Gartland, Brian E. Smith, Sarah Weisberg, Sean Lucey

Affiliations: NEFSC

Indicator Family:

Indicator Category:

Synthesis Theme:

26.1 Introduction to Indicator

Benthic invertebrates provide supporting ecosystem services as important prey for many economically important fish species on the Northeast US shelf. Changes to the benthic invertebrate forage base could have important implications for regional food webs. However, we lack direct measurements of benthic invertebrate biomass for most unexploited taxa. Spatially explicit indices of abundance for benthos groups were estimated using spatio-temporal modeling (VAST, [12]; [13]).

We define Macrobenthos as bottom-dwelling invertebrates retained on a 0.5-1.0 mm sieve. These include polychaete worms, small crustaceans, bivalves (non-commercial), gastropods, nemerteans, tunicates, cnidarians, brittle stars, sea cucumbers, and sand dollars.

We define Megabenthos as sea stars (Echinodermata: Asteroidea) and large Arthropods (horseshoe crabs (Merostomata), mantis shrimp (Crustacea: Stomatopoda), and crabs (Crustacea: Decapoda: Brachyura and Anomura other than hermit crabs)).

The indices developed here use similar methods to the Forage Fish Index. The spatially-explicit macrobenthos and megabenthos indices estimate the combined biomass of 833 and 105 taxa, respectively, using stomach contents information from 88 predator/size combinations from fish collected on bottom trawl surveys.

In addition to an index of benthic invertebrate biomass in each EPU, the coastwide center of gravity for the combined benthic biomass was estimated to evaluate whether distributions of benthic invertebrate biomass have changed over time.

26.2 Key Results and Visualizations

Time series extend from 1980-2024. Macrobenthos and Megabenthos are included on separate plots for each EPU.

Variables plotted are seasonal (Fall or Spring) Macrobenthos or Megabenthos Biomass Estimates with standard error bands.

Eastward and Northward components of the Center of Gravity, along with the Center of Gravity SE, are plotted for Fall and Spring Macrobenthos or Megabenthos Biomass.

Mid-Atlantic, Megabenthos, index


New England, Megabenthos, index


Mid-Atlantic, Macrobenthos, index


New England, Macrobenthos, index


Mid-Atlantic, Megabenthos, cog


New England, Megabenthos, cog


Mid-Atlantic, Macrobenthos, cog


New England, Macrobenthos, cog


26.3 Implications

Macrobenthos indices show long term declines in spring in all EPUs. In contrast, Megabenthos indices show long term increases in fall in all EPUs. Megabenthos indices also show a recent trend in spring in GB.

Center of gravity indicators show recent trends towards the east in spring for Megabenthos in all EPUs. Macrobenthos center of gravity shows a significant long term trend towards the west and south in spring over time. This is the opposite direction observed for aggregate forage fish and surveyed fish species in aggregate.

26.4 Indicator statistics

Spatial scale: by EPU and full shelf

Temporal scale: Spring (January-June), Fall (July-December)

Variable definitions

26.5 Get the data

Point of contact: Maxwell Grezlik ()

ecodata dataset: ecodata::benthos_index

Tech Doc link: https://noaa-edab.github.io/tech-doc/benthos_index.html

26.5.1 Public Availability

Source data are publicly available. Initial model development (used in the SOE published in 2023-2025) is available at: https://github.com/NOAA-EDAB/benthos_index.html Code for data updates (used in the SOE published in 2026-present) is available at: https://github.com/NEFSC/READ-EDAB-VAST_indices/tree/main/benthos

References

12.
Thorson JT, Barnett LAK. Comparing estimates of abundance trends and distribution shifts using single- and multispecies models of fishes and biogenic habitat. ICES Journal of Marine Science. 2017;74: 1311–1321. doi:10.1093/icesjms/fsw193
13.
Thorson JT. Guidance for decisions using the Vector Autoregressive Spatio-Temporal (VAST) package in stock, ecosystem, habitat and climate assessments. Fisheries Research. 2019;210: 143–161. doi:10.1016/j.fishres.2018.10.013