Fisheries Stock Assessment and Modeling

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

Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 363

Special Issue Editors


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Guest Editor
Department of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
Interests: population dynamics; demographic modeling; spatial–temporal dynamics; stock assessment; fisheries management; bayesian hierarchical modeling
Department of Applied Ecology, North Carolina State University, Morehead City, NC 28557, USA
Interests: quantitative fisheries management; fish population dynamics; stock assessment; ecosystem modeling
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Co-Guest Editor
Center for Limnology, University of Wisconsin-Madison, Madison, WI 53706, USA
Interests: fisheries management; spatiotemporal analysis; population dynamics; stock assessment; marine ecology; climate change
College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
Interests: stock assessment; population dynamics; fisheries management

Special Issue Information

Dear Colleagues,

Fisheries stock assessment and modeling involves research of an interdisciplinary nature, fostering a holistic understanding of math, statistics, fish stocks, biology, ecology, and socio-economic dimensions. This article collection aims to showcase cutting-edge research and methodologies dedicated to understanding and managing fish populations. By integrating advanced modeling techniques with fisheries and survey data, the contributors explore the intricate interplay between environmental factors, fishing pressure, and biological processes that shape fish stocks. From population dynamics, spatial distribution, spatial–temporal dynamics, and state-space models to Bayesian hierarchical modeling and nonstationary models, we welcome articles offering valuable insights that will be crucial to bettering fish stock assessments and sustainable fisheries management. Additionally, this Special Issue welcomes studies addressing the pressing challenges of climate change and data limitations, highlighting the need for modeling and adaptive strategy evaluation in the face of shifting oceanic conditions and/or situations of limited information.

Prof. Dr. Yan Jiao
Dr. Jie Cao
Dr. Rujia Bi
Dr. Qiuyun Ma
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

  • population dynamics
  • population ecology
  • stock assessment
  • climate change
  • nonstationarity
  • spatial–temporal dynamics
  • ecosystem modeling

Published Papers

There is no accepted submissions to this special issue at this moment.
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