Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-8798
Main Title: Data for Fish Stock Assessment Obtained from the CMSY Algorithm for all Global FAO Datasets
Author(s): Hélias, Arnaud
Type: Article
Language Code: en
Abstract: Assessing the state of fish stocks requires the determination of descriptors. They correspond to the absolute and relative (to the carrying capacity of the habitat) fish biomasses in the ecosystem, and the absolute and relative (to the intrinsic growth rate of the population) fishing mortality resulting from catches. This allows, among other things, to compare the catch with the maximum sustainability yield. Some fish stocks are well described and monitored, but for many data-limited stocks, catch time series are remaining the only source of data. Recently, an algorithm (CMSY) has been proposed, allowing an estimation of stock assessment variables from catch and resilience. In this paper, we provide stock reference points for all global fisheries reported by Food and Agriculture Organization (FAO) major fishing area for almost 5000 fish stocks. These data come from the CMSY algorithm for 42% of the stock (75% of the global reported fish catch) and are estimated by aggregated values for the remaining 58%.
URI: https://depositonce.tu-berlin.de/handle/11303/9765
http://dx.doi.org/10.14279/depositonce-8798
Issue Date: 24-May-2019
Date Available: 12-Aug-2019
DDC Class: 333 Boden- und Energiewirtschaft
Subject(s): fisheries
FAO area
catch time series
CMSY
biomass
fishing effort
maximum sustainability yield
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Data
Publisher: MDPI
Publisher Place: Basel
Volume: 4
Issue: 2
Article Number: 78
Publisher DOI: 10.3390/data4020078
EISSN: 2306-5729
Appears in Collections:FG Technischer Umweltschutz / Sustainable Engineering » Publications

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