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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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SS-DBEM model results for main tuna commercial species

Authors: Erauskin-Extramiana, Maite; Fernandes-Salvador, Jose Antonio;

SS-DBEM model results for main tuna commercial species

Abstract

Projected body size and potential biomass changes (in %) for the main commercial tuna species and swordfish by each RFMO by the mid- and the end-of-the-century. The changes have been estimated as the difference between the future and the reference period. A multi-species ecosystem model which integrates a species-based model (DBEM, Dynamic Bioclimatic Envelope Model) with the size-spectrum approach (SS) was used in this study. The code for the model is available here.

Maite Erauskin_Extramiana was funded with postdoc grant by the Government of Spain Ministry of Science and Innovation (EU-Eranet PCI2018-092995)

Keywords

Tuna fishery, climate change, fishing pressure, future scenarios, Ecosystem-Based Model, Size Spectrum, Bioclimatic Envelope Model

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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