Academic Journal
SEAwise Report on improved predictive models of growth, production and stock quality under different habitat scenarios and incorporating experimental results
| Title: | SEAwise Report on improved predictive models of growth, production and stock quality under different habitat scenarios and incorporating experimental results |
|---|---|
| Authors: | Leire Ibaibarriaga, Naroa Aldanondo, Paula Álvarez, Yann Aminot, Luke Batts, Nadège Bely, Isabella Bitetto, Guillermo Boyra, Mollie Elizabeth Brooks, Tuan Anh Bui, Pierluigi Carbonara, Loredana Casciaro, Guillem Chust, Sophie Collet, Unai Cotano, Guy Claireaux, Marleen De Troch, J., Camille Detree, Paul Dolder, Heli Einberg, Maite Erauskin-Extramiana, Josean A. Fernandes, Elodie Fleury, Almudena Fontán, Cristina Garcia-Fernandez, Didier Gascuel, Paul Gatti, Maël Gernez, Mike Heath, Dominique Hervio-Heath, Kristiina Hommik, Xabier Irigoien, Bernhard Kühn, Jérémy Le Luyer, Veronique Loizeau, Solen Lozach, Lauriane Madec, David Mazurais, Karine Moisan, Olivier Mouchel, Catherine Munschy, Cosmidano Neglia, Stefan Neuenfeldt, Cyril Noël, Henn Ojaveer, Hélène Ollivier, Michele Palmisano, Dimitris Politikos, J.J., Ivars Putnis, Gunta Rubene, María Santos, Marie Savina-Rolland, José-Antonio Salmeron-Paullada, Ariana Servili, Victor Simon, Michael Spence, Klaas Sys, Fernando G. Taboada, B. Tanguy-Guillo, Marc Taylor, Robert Thorpe, Morgane Travers-Trolet, Konstantinos Tsagarakis, Andres Uriarte, Celia Vassilopoulou, Woillez, Mathieu, José-Luis Zambonino-Infante, Walter Zupa, Anna Rindorf |
| Publication Year: | 2025 |
| Collection: | Technical University of Denmark (DTU): Fighsare |
| Subject Terms: | Ecological impacts of climate change and ecological adaptation, Growth, Marine fish, Environment, Temperature, Predictive ability |
| Description: | The SEAwise project works to deliver a fully operational tool that will allow fishers, managers, and policy makers to easily apply Ecosystem Based Fisheries Management (EBFM) in their fisheries. Understanding how ecological drivers impact stock productivity through growth, condition and maturity is essential to advance towards ecosystem-based fisheries management. This SEAwise report presents final predictive models of fish growth, condition and maturity in each of our four regional case studies. The biological processes fish growth, condition and maturity were studied in terms of body size, condition factor, otolith increments and size at first maturity, and, in laboratory studies, in terms of physiological, metabolic and microbiota parameters. The data ranged from individual fish, to sampling, haul or stock level. Accordingly, the methods varied according to the specific features of the process under study and the available data. In the Baltic Sea, two regimes were identified in the weight-at-age time series of herring in the Gulf of Riga (1961-1988 and 1989-2020). During the first period the main driver of the individual annual growth of the fish was the abundance of the copepod L. macrurus macrurus , while the pattern was less clear during the second period. Summer temperature was not a significant driver of the individual growth. Mediated length-based growth models and linear mixed models applied to weight-at-age data of six stocks showed forecast potential for only one stock (sol.27.20-24). The most plausible model estimated positive impacts of temperature, salinity and the interaction between weight and salinity. In the Mediterranean Sea, the first group of analyses focused on effects on size at first maturity, condition factor and growth in South Adriatic Sea (GSA 18) and North-West Ionian Sea (GSA 19). In most cases, the most significant environmental driver was bottom temperature, although some relationships with bottom salinity and primary production were also found. Analyses of otolith increments of ... |
| Document Type: | text |
| Language: | unknown |
| Relation: | https://figshare.com/articles/online_resource/SEAwise_Report_on_improved_predictive_models_of_growth_production_and_stock_quality_under_different_habitat_scenarios_and_incorporating_experimental_results/28049597 |
| DOI: | 10.11583/dtu.28049597.v1 |
| Availability: | https://doi.org/10.11583/dtu.28049597.v1 https://figshare.com/articles/online_resource/SEAwise_Report_on_improved_predictive_models_of_growth_production_and_stock_quality_under_different_habitat_scenarios_and_incorporating_experimental_results/28049597 |
| Rights: | CC BY 4.0 |
| Accession Number: | edsbas.CBCB9601 |
| Database: | BASE |
| DOI: | 10.11583/dtu.28049597.v1 |
|---|