Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/34078
Appears in Collections:Aquaculture Journal Articles
Peer Review Status: Refereed
Title: Scenario analysis and land use change modelling reveal opportunities and challenges for sustainable expansion of aquaculture in Nigeria
Author(s): Yakubu, Suleiman O
Falconer, Lynne
Telfer, Trevor C
Keywords: Aquaculture
Scenario planning
Land use change
Food security
Nigeria
Sustainable development
Issue Date: Apr-2022
Date Deposited: 17-Mar-2022
Citation: Yakubu SO, Falconer L & Telfer TC (2022) Scenario analysis and land use change modelling reveal opportunities and challenges for sustainable expansion of aquaculture in Nigeria. Aquaculture Reports, 23, Art. No.: 101071. https://doi.org/10.1016/j.aqrep.2022.101071
Abstract: This study explores the critical factors of pond aquaculture development in Nigeria, and opportunities and challenges for sustainable expansion of the sector. Aquaculture’s role in food security especially in developing countries has been recognized, including its growth potential. However, Nigeria’s aquaculture development remains slow. Using Delphi technique, key factors influencing aquaculture were identified: availability/cost of aquafeed, land use change, government policy and climate change. Then scenario planning was used to develop four alternative but plausible pathways (scenarios) for Nigerian aquaculture development to 2035, depicting baseline, favourable, somewhat favourable, and unfavourable situations. For each scenario, future pond aquaculture production was estimated by modelling future changes in land use and pond yield potential. Government estimates suggest a potential of producing 2.5 million metric tonnes (t) of fish annually, but our results suggest Nigeria is unlikely to reach this estimate by 2035 without interventions. While the qualitative scenarios are useful to enhance discussions on potential interventions for improving aquaculture production and sustainability, the quantitative projections can be used for evaluating these interventions.
DOI Link: 10.1016/j.aqrep.2022.101071
Rights: This article is available under the Creative Commons CC-BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed. For commercial reuse, permission must be requested .
Licence URL(s): http://creativecommons.org/licenses/by-nc-nd/4.0/

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