Powered by OpenAIRE graph
Found an issue? Give us feedback
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/ ZENODOarrow_drop_down
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
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Lake Aquaculture for Catastrophic Food Security

Authors: Tkemaladze, Jaba;

Lake Aquaculture for Catastrophic Food Security

Abstract

The intensifying frequency of climate disasters, geopolitical conflicts, and pandemics exposes critical vulnerabilities in globalized, input-intensive food systems. Traditional protein sources—terrestrial livestock, crops, and marine fisheries—are highly susceptible to collapse under such catastrophic scenarios due to their dependencies on complex supply chains, external inputs, and stable climatic conditions. This article posits that lake-based aquaculture represents a strategically undervalued yet indispensable component of a resilient food security framework. We argue that the inherent characteristics of lacustrine systems—including superior feed conversion ratios, the utilization of natural trophic pathways, and a static "live storage" production model—confer a unique capacity to function autonomously during prolonged infrastructural and logistical breakdowns. The analysis delineates criteria for selecting resilient fish species, advocates for extensive polyculture management models, and outlines strategies for mitigating risks related to disease, genetic resource security, and ecological degradation. Furthermore, a strategic roadmap is proposed for integrating this approach into national policy, emphasizing legislative action, targeted research, economic incentives, and specialized education. The conclusion asserts that proactive investment in developing lake aquaculture as a decentralized protein reserve is a critical imperative for enhancing national food sovereignty and long-term survivability in an era of escalating systemic risks.

Keywords

Protein Security, Polyculture, Catastrophe Resilience, Climate Adaptation, Food Security, Lake Aquaculture, Sustainable Aquaculture, Disaster Preparedness, Resource Efficiency

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
0
Average
Average
Average
Green