Data from: The potential for spatial distribution indices to signal thresholds in marine fish biomass

The frequently observed positive relationship between fish population abundance and spatial distribution suggests that changes in distribution can be indicative of trends in abundance. If contractions in spatial distribution precede declines in spawning stock biomass (SSB), spatial distribution refe...

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Bibliographic Details
Main Authors: Reuchlin-Hugenholtz, Emilie, Shackell, Nancy L., Hutchings, Jeffrey A.
Format: Dataset
Language:unknown
Published: Data Archiving and Networked Services (DANS) 2016
Subjects:
geo
Online Access:https://doi.org/10.5061/dryad.cp8pj
Description
Summary:The frequently observed positive relationship between fish population abundance and spatial distribution suggests that changes in distribution can be indicative of trends in abundance. If contractions in spatial distribution precede declines in spawning stock biomass (SSB), spatial distribution reference points could complement the SSB reference points that are commonly used in marine conservation biology and fisheries management. When relevant spatial distribution information is integrated into fisheries management and recovery plans, risks and uncertainties associated with a plan based solely on the SSB criterion would be reduced. To assess the added value of spatial distribution data, we examine the relationship between SSB and four metrics of spatial distribution intended to reflect changes in population range, concentration, and density for 10 demersal populations (9 species) inhabiting the Scotian Shelf, Northwest Atlantic. Our primary purpose is to assess their potential to serve as indices of SSB, using fisheries independent survey data. We find that metrics of density offer the best correlate of spawner biomass. A decline in the frequency of encountering high density areas is associated with, and in a few cases preceded by, rapid declines in SSB in 6 of 10 populations. Density-based indices have considerable potential to serve both as an indicator of SSB and as spatially based reference points in fisheries management. S1 Stock assessment model informationStock, Spawning Stock Biomass model, SourceS1 Dataset Stock assessment data per speciesResearch Vessel Data of the spatial distribution of fish species, including total number, total weight, time and locationS2 Dataset SSB and source dataYear, Spawning Stock Biomass in tonnes, Spawning Stock Number tonnes (x1000), Area, Strata, Species and Data source