A Lagrangian approach to model movement of migratory species

Abstract

Abstract:We introduce a Lagrangian movement model that can be used to characterize cyclic migrations of iteroparous fish populations. We demonstrate how movement parameters can be estimated using conventionally available catch-at-age data and provide a description of the potential bias that may arise from model misspecification, data aggregation, and nonstandardized sampling effort. The model can be extended to incorporate covariates representing biological and environmental forces that alter the distribution and migration range of exploited populations. We expect that this movement model will be a useful tool to model fish migration, to illustrate how fisheries dynamics are affected by fish migration, and to be used as an operating model in closed loop simulations to test the robustness of management frameworks to spatial structure and connectivity.Résumé : Nous présentons un modèle de déplacement lagrangien qui peut être utilisé pour caractériser les migrations cycliques de populations de poissons itéropares. Nous montrons comment des paramètres de déplacement peuvent être estimés en utilisant des données généralement disponibles de capture selon l'âge et présentons une description du biais potentiel qui peut découler de la mauvaise définition de paramètres du modèle, du regroupement de données et d'un effort d'échantillonnage non normalisé. Le modèle peut être élargi pour y inclure des covariables représentant des forces biologiques et environnementales qui modifient la répartition et l'aire de migration de populations exploitées. Nous nous attendons à ce que ce modèle de déplacement soit utile pour modéliser la migration de poissons et illustrer l'incidence de cette migration sur la dynamique des pêches et qu'il pourrait être utilisé comme modèle opératoire dans des simulations en boucle fermée pour évaluer la robustesse de cadres de gestion quand il y a présence de structure ou de connectivité spatiale. [Traduit par la Rédaction]

Hydrodynamic connectivity and dispersal patterns of a transboundary species (Pagellus bogaraveo) in the Strait of Gibraltar and adjacent basins

“…Larval dispersal studies rely on the dependence of numerous biological and physical key factors, which must be considered to determine broad-scale ecological connectivity. Egg buoyancy, vertical migrations, and the possible influences on the ELS fate of other biogeochemical features (Wor et al, 2017) are sensible information that…”

“…Larval dispersal studies rely on the dependence of numerous biological and physical key factors, which must be considered to determine broad‐scale ecological connectivity. Egg buoyancy, vertical migrations, and the possible influences on the ELS fate of other biogeochemical features (Wor et al, 2017) are sensible information that is not yet well determined for the studied species (Gil, 2006), nor incorporated to the model. The 150 m depth case study addressed in this study illustrates how drastically different the results of connectivity can be.…”

Collaborative fisheries research: the Canadian Fisheries Research Network experience

“…The project described MSE as being both a set of techniques and a collaborative process for evaluating management options. While a 5-year research project is an insufficient context and time frame within which to implement a full MSE, the research contributed to an improved understanding of the techniques and requirements of MSE (see, for example, Wor et al 2018). Importantly, the project promoted MSE as more than just a reformulation of ecological assessment into management terms, but rather a broader approach that also integrates economic and social considerations, thereby improving understanding of how well different management procedures meet the various objectives of each of the case study fisheries.…”