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Fishes
Special Issues
Statistical Analysis in Fisheries Science and Aquaculture
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Statistical Analysis in Fisheries Science and Aquaculture

A special issue of Fishes (ISSN 2410-3888).

Deadline for manuscript submissions: closed (30 May 2024) | Viewed by 4889

Special Issue Editors

Prof. Dr. George Minos

E-Mail Website1 Website2
Guest Editor
1. Department of Nursing, International Hellenic University, P.O. Box 141, 57400 Thessaloniki, Greece
2. Director, Laboratory of Biology & Histology, Microscopy & Image Analysis, Systematics & Biometry, International Hellenic University, P.O. Box 141, 57400 Thessaloniki, Greece
Interests: morphometric analysis; statistical analysis; reproduction; ichthyology; fish age and growth; fisheries management; systematic
Dr. Foivos Alexandros Mouchlianitis

E-Mail Website1 Website2
Co-Guest Editor
Researcher, Laboratory of Biology & Histology, Microscopy & Image Analysis, Systematics & Biometry, International Hellenic University, P.O. Box 141, 57400 Thessaloniki, Greece
Interests: fish reproduction; histology; fish ecology; fisheries management; fisheries oceanography; diadromous fishes; river restoration

Special Issue Information

Dear Colleagues, 

Statistics have long been wedded with fisheries science to interpret data and make well-informed decisions. Throughout the years, an increasingly diverse array of statistical and data management tools has emerged, as have their potential applications. This Special Issue focuses on the statistical methods and tools used for the analyses of data on fisheries science as well as the aquaculture of fishes and other aquatic organisms. We welcome applications on morphometrics, age, growth, otolith and scale morphology, reproduction, phylogenetics, taxonomy, phenotypic plasticity, fisheries stock identification, fisheries management, and aquaculture research. In this issue, emphasis is placed on technological and analytical advancements in data analysis, including image analysis, artificial intelligence tools, new mapping capabilities, etc.

Prof. Dr. George Minos
Dr. Foivos Alexandros Mouchlianitis
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fishes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • morphometrics
  • phenotype
  • aquaculture
  • fisheries
  • statistics

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Published Papers (2 papers)

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Research

10 pages, 1117 KiB  
Article
Evaluating the Sustainability of an Eastern Mediterranean Gillnet Fishery Based on the Catches of Undersized Individuals and the Reproductive Period of Targeted Species
by Foivos A. Mouchlianitis, Maria Garagouni, George Minos and Kostas Ganias
Fishes 2024, 9(4), 122; https://doi.org/10.3390/fishes9040122 - 29 Mar 2024
Viewed by 1737
Abstract
The catch composition of a coastal gillnet fishery in the Eastern Mediterranean Sea was analyzed through a two-year experimental fishing survey. Seven fish species occurred regularly in the hauls. Surmullet, Mullus surmuletus, which is the most valuable demersal fish in Greek waters [...] Read more.
The catch composition of a coastal gillnet fishery in the Eastern Mediterranean Sea was analyzed through a two-year experimental fishing survey. Seven fish species occurred regularly in the hauls. Surmullet, Mullus surmuletus, which is the most valuable demersal fish in Greek waters and the intended target of the gillnets in small-scale fisheries, was the most abundant and systematically caught species. Almost all surmullets were larger than their minimum conservation reference size. However, three commercially exploited species (Diplodus annularis, Pagellus acarne, and P. erythrinus) were caught systematically as undersized individuals. In addition, these three species were caught mostly as immature individuals. Moreover, the operational season of the surveyed métier overlapped completely with the reproductive period of five commercially exploited species (D. annularis, M. barbatus, M. surmuletus, Sphyraena sphyraena, and Trachurus trachurus). Improvements and the establishment of additional technical measurements should be considered for the small-scale gillnet fisheries in the studied area to attenuate their detrimental effects and achieve a better compromise between sustainable exploitation of the local multi-species fish resources and the need for an economically sustainable practice. Full article
(This article belongs to the Special Issue Statistical Analysis in Fisheries Science and Aquaculture)
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9 pages, 201 KiB  
Article
Using Sustainable Development Goal Indicator 14.7.1 to Measure Sustainable Fishery: The Statistical Limitations
by Suyu Liu
Fishes 2024, 9(2), 57; https://doi.org/10.3390/fishes9020057 - 30 Jan 2024
Cited by 1 | Viewed by 1603
Abstract
Sustainable Development Goal (SDG) Indicator 14.7.1 is the only statistical indicator under the SDG framework which measures the progress to achieve sustainable fisheries. However, despite its advantages, it suffers from substantial limitations. One main problem is that it is ambiguous what this indicator [...] Read more.
Sustainable Development Goal (SDG) Indicator 14.7.1 is the only statistical indicator under the SDG framework which measures the progress to achieve sustainable fisheries. However, despite its advantages, it suffers from substantial limitations. One main problem is that it is ambiguous what this indicator really measures and what the definition of sustainable fisheries is, which is the core concept of SDG Indicator 14.7.1. In particular, this indicator has both an environmental dimension and an economic dimension, but it is unclear how one indicator can exactly reflect these two dimensions at the same time. In addition, while SDG Indicator 14.7.1 emphasizes inclusiveness in name, its definition, methodology, and practical application reveal the exclusion of a substantial number of countries from this indicator. These limitations not only diminish the anticipated functionality of SDG Indicator 14.7.1 but also contradict the objective of inclusivity. Such shortcomings of SDG Indicator 14.7.1 are possibly a result of the non-statistical considerations during the development of this indicator, including possible political influence on the statistical scientific process. A number of implications for improving the further development and use of this indicator are provided, such as the provision of more specific data and metadata Full article
(This article belongs to the Special Issue Statistical Analysis in Fisheries Science and Aquaculture)
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