Novel decision-support system for augmenting sustainable lobster production through comparison of mariculture systems at increasing stages of technological development

Divu, D and Mojjada, Suresh Kumar and Dash, Gyanaranjan and Swathi Lekshmi, P S and Muktha, M and Tade, Mayur Shivdas and Mojjada, Ramesh Kumar and Bhint, H M and Bhardwaj, Jaishree and Subramanian, Aarsha and Suresh, V V R and Gopalakrishnan, A (2023) Novel decision-support system for augmenting sustainable lobster production through comparison of mariculture systems at increasing stages of technological development. Journal of Cleaner Production, 401. pp. 1-10. ISSN 1879-1786

[img] Text
Journal of Cleaner Production_2023_Divu D.pdf
Restricted to Registered users only

Download (2MB) | Please mail the copy request to cmfrilibrary@gmail.com
Official URL: https://www.sciencedirect.com/science/article/pii/...
Related URLs:

    Abstract

    In the face of depleting wild stocks of lobster globally, mariculture is widely viewed as a technology for enhancing production, resource efficiency, economics, and effective management of dwindling stocks while supporting livelihood security. We used a novel multi-stage experimental strategy followed by robust non-linear growth model simulations for establishing a Decision-Support System (DSS) to foster sustainable and cleaner production practices in lobster mariculture. The strategies explored in the first stage, which dealt with rearing lobsters in sea cages at increasing levels of technological development, significantly enhanced lobster production and thus, culture system productivity 5.9 times over unsustainable conventional systems. Growth performance, feed utilization, and survivability of lobsters were found to be significantly ameliorated in culture setup-3 (P ≤ 0.01), which was the most technologically advanced setup. In the second stage, non-linear models were fit to growth curves, and the best-fit models were used for the prediction of lobster biological metrics in the mariculture systems. These predictions were then validated using in-situ allometric traits. The DSS thus developed can effectively aid decision-making to optimize culture duration, stock condition, feed optimization, and harvest size to maximise economic returns from lobster mariculture while ensuring sustainability.

    Item Type: Article
    Uncontrolled Keywords: Conservation; Growth modelling; Decision-making; Mariculture; Resource management; Sustainability
    Subjects: Aquaculture > Mariculture
    Crustacean Fisheries
    Crustacean Fisheries > Lobsters
    Divisions: CMFRI-Veraval
    CMFRI-Kochi > Mariculture Division
    Subject Area > CMFRI > CMFRI-Kochi > Mariculture Division
    CMFRI-Kochi > Mariculture Division
    Subject Area > CMFRI-Kochi > Mariculture Division
    Depositing User: Arun Surendran
    Date Deposited: 17 Mar 2023 06:21
    Last Modified: 17 Mar 2023 06:21
    URI: http://eprints.cmfri.org.in/id/eprint/16851

    Actions (login required)

    View Item View Item