Naslov
Integration of condition index into fisheries management decision-making

Autori
Haberle, Ines ; Bavčević, Lav ; Klanjšček, Tin

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
7th Faculty of Science PhD Student Symposium : Book of Abstracts / Pavlek, Katarina - Zagreb : Prirodoslovno-matematički fakultet Sveučilišta u Zagrebu, 2023, 69-69

ISBN
978-953-6076-01-7

Skup
7th Faculty of Science PhD Student Symposium

Mjesto i datum
Zagreb, Hrvatska, 21.04.2023. - 22.04.2023

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Domaća recenzija

Ključne riječi
condition index ; fisheries management ; DEB-IBM ; ecological modelling

Sažetak
Condition index, a simple metric calculated from commonly available biometric data, is an indicator of individual fish status. Since individual performance defines population dynamics, use of condition index has also been suggested (but not included) in fisheries management. Inclusion is lagging because correlation between individual-level processes and population-level responses is poorly understood, leaving interdependencies between the condition index and population status overlooked and/or misinterpreted by the managers. Moreover, practical means of including condition index into management decision- making are scarce, hindering its implementation. We adopt a composite modelling approach to investigate the link between individual condition and population status, and use the insights to promote a practical way to operationally incorporate the condition index into fisheries management. We suggest a careful integration of condition index as a supplementary validation tool against standard stock assessment, where agreement between the two independent assessments leads to decision-making, while discrepancy suggests additional research would be beneficial.

Izvorni jezik
Engleski

Znanstvena područja
Interdisciplinarne prirodne znanosti

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