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Dataset . 2023
License: CC BY
Data sources: Datacite
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Dataset . 2023
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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https://doi.org/10.5281/zenodo...
Dataset . 2023
License: CC BY
Data sources: Sygma
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CS3 Land-based IMTA abalone South Africa - Socio economic analysis

Authors: Mikkelsen, Eirik;

CS3 Land-based IMTA abalone South Africa - Socio economic analysis

Abstract

Data set builds on dataset and bio-economic modelling "CS3 Land-based abalone IMTA - bioeconomic model South Africa 2022" (available in the AquaVitae community in Zenodo) by considering the integrated inclusion of sea cucumbers in abalone farming. It considers three different impacts of including sea cucumbers and compares the socio-economic effects in these with a baseline scenario of abalone farming without sea cucumbers.

Keywords

IMTA, abalone, sea cucumbers, low trophic aquaculture, socioeconomics

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
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.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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7