Description: Biomass time series for aggregate species groups from three inshore bottom trawl surveys conducted throughout the NE US:
NEAMAP (mab_inshore_survey) from Cape Hatteras to RI
MA Inshore in MA state waters (mass_inshore_survey)
ME/NH Inshore in ME and NH state waters (ne_inshore_survey)
Indicator family:
Contributor(s): James Gartland, Matt Camisa, Rebecca Peters, Sean Lucey
Affiliations: VIMS, Maine, NEFSC
knitr::opts_chunk$set(echo = F) library(ecodata)
Indicators from these inshore surveys are analagous to those produced by the NEFSC trawl survey in the aggregate_biomass
indicator dataset
Each survey shows trends by aggregate group.
# Plot indicator ggplotObject <- ecodata::plot_mab_inshore_survey(report='MidAtlantic') ggplotObject
Spatial scale: Nearshore regions of the MAB and GOM
Temporal scale: Spring and Fall
Synthesis Theme:
# Either from Contributor or ecodata
Some trends match the NEFSC survey, some dont. This is driven by different species availability to surveys in time and space as well as the surveys sampling different habitats. Nearshore habitats are important to fish and fisheries so we monitor them as as well as trends from the larger EPUs.
Point of contact: James Gartland (NEAMAP), jgartlan@vims.edu; Rebecca Peters (ME/NH survey), rebecca.j.peters@maine.gov; Sean Lucey (MA Inshore Survey), sean.lucey@rws.com{.email}
ecodata name: ecodata::mab_inshore_survey
Variable definitions
See variable definitions for aggregate_biomass
# Pull all var names vars <- ecodata::mab_inshore_survey |> dplyr::select(Var) |> dplyr::distinct() DT::datatable(vars)
Indicator Category:
Source data are publicly available.
No response
tech-doc link https://noaa-edab.github.io/tech-doc/mab_inshore_survey.html
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