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Data · dataset · 2021

Data from: Evaluation of rockfish conservation area networks in the United States and Canada relative to the dispersal distance for black rockfish (Sebastes melanops)

Listed in Borealis and Agri-environmental Research Data Dataverse — shown once because both records carry DOI 10.5683/sp2/chzcvq

Description

Abstract

Marine reserves networks are implemented as a way to mitigate the impact of fishing on marine ecosystems. Theory suggests that a reserve network will function synergistically when connected by dispersal, but the scale of dispersal is often unknown. On the Pacific coast of the United States and Canada, both countries have recently implemented a number of rockfish conservation areas (RCAs) to protect exploited rockfish species, but no study has evaluated the connectivity within networks in each country or between the two countries.

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We used isolation-by-distance theory to estimate the scale of dispersal from microsatellite data in the black rockfish, Sebastes melanops, and compared this estimate with the distance between RCAs that would protect this species. Within each country, we found that the distance between RCAs was generally within the confidence intervals of mean dispersal per generation. The distance between these two RCA networks, however, was greater than the average dispersal per generation.

The data were also consistent with a genetic break between southern Oregon and central Oregon. We discuss whether additional nearshore RCAs in southern Oregon and Washington would help promote connectivity between RCA's for shallow-water rockfishes.

Usage notes

All datasets, scripts, and results This is a .zip file containing the datasets, scripts, and results for the manuscript. In the folder, you will find the file named: 0_Metadata_readme.xlsx This file contains a list and description of all files included in the .zip file. 20130831 DataAndScriptsForDRYAD.zip

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Where it is published

Catalogue records · 1

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Stated by source
Other · Other
Inferred from text
Evolutionary biology 74%
Provenance · 2 source records, 22 field assertions
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Agri-environmental Research Data Dataversedoi:10.5683/SP2/CHZCVQ11 d agoJSON v1
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