Skip navigation
  • 中文
  • English

DSpace CRIS

  • DSpace logo
  • Home
  • Research Outputs
  • Researchers
  • Organizations
  • Projects
  • Explore by
    • Research Outputs
    • Researchers
    • Organizations
    • Projects
  • Communities & Collections
  • SDGs
  • Sign in
  • 中文
  • English
  1. National Taiwan Ocean University Research Hub
  2. 海洋科學與資源學院
  3. 環境生物與漁業科學學系
Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/26517
Title: Stock Status of Noncommercial Fish Species in Aras Dam Reservoir: Mismanagement Endangers Sustainable Fisheries
Authors: Haghi Vayghan, Ali
Ghanbarzadeh, Mehrnaz
Su, Nan-Jay 
Keywords: Aras Dam Reservoir;fishery management;sustainable fisheries;data-limited method;stock status
Issue Date: 2025
Publisher: MDPI
Journal Volume: 14
Journal Issue: 9
Source: BIOLOGY-BASEL
Abstract: 
Aras Dam reservoir, a key inland fishery in northwest Iran, faces increasing socioecological threats that jeopardize sustainable resource use. To provide updated information on stock conditions under limited data availability, this study applied the catch maximum sustainable yield (CMSY++) model using biometric measurements and catch records from 2013 to 2022. Four noncommercial species commonly harvested in the reservoir-silver bream (Blicca bjoerkna), common bream (Abramis brama), common roach (Rutilus rutilus), and freshwater bream (Carassius auratus)-were assessed. Stock status was evaluated through biomass relative to reference points (B/BMSY) and fishing mortality (F/FMSY). Results revealed unsustainable conditions for common bream, common roach, and freshwater bream, while silver bream remained in a healthy state. These findings suggest that maintaining current fishing levels may intensify pressure and risk stock depletion for several species. The CMSY++ model demonstrated efficiency in providing rapid assessments in data-limited situations, offering insights for inland fishery management. To ensure sustainable fisheries in the Aras Dam reservoir, managers should implement stricter measures to control illegal fishing, reduce excessive effort, and promote recovery of depleted stocks.
URI: http://scholars.ntou.edu.tw/handle/123456789/26517
DOI: 10.3390/biology14091242
Appears in Collections:環境生物與漁業科學學系

Show full item record

Google ScholarTM

Check

Altmetric

Altmetric

Related Items in TAIR


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Explore by
  • Communities & Collections
  • Research Outputs
  • Researchers
  • Organizations
  • Projects
Build with DSpace-CRIS - Extension maintained and optimized by Logo 4SCIENCE Feedback