Catch Limit Simulation

Catch Limit Simulation is a computational modeling framework within fisheries management science that dynamically projects stock responses to varying harvest levels by iteratively simulating biological, environmental, and regulatory conditions to evaluate the efficacy and sustainability of proposed catch limits.

10

Publications

448

Citations

31

Authors

18

Institutions

Publications per year

2017–2026

0

Authors

31

  1. KR
    Keith R. Criddle

    University of Alaska Fairbanks, United States

    1 publications · 12 citations

    1

    h-index

  2. DS
    Diana Stram

    North Pacific Fishery Management Council, United States

    1 publications · 38 citations

    1

    h-index

  3. LM
    Larry M. Gigliotti

    South Dakota State University, United States

    1 publications · 82 citations

    1

    h-index

  4. CL
    Chris Luecke

    Utah State University, United States

    1 publications · 20 citations

    1

    h-index

  5. JZ
    Jie Zheng

    Nanyang Technological University, Singapore

    1 publications · 38 citations

    1

    h-index

1–5 of 31

Venues

  1. North American Journal of Fisheries Management

    5 publications · 168 citations

    5

    h-index

  2. ICES Journal of Marine Science

    2 publications · 177 citations

    2

    h-index

  3. 1

    h-index

  4. 1

    h-index

1–4