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Migratory Crossroads (MxR)

January 2024 – December 2027

Predicting the dynamics of a great vertical migration in a changing habitat

  1. Forskningsrådet logo

Project lead: Kanchana Bandara, Akvaplan-niva

Partners: Akvaplan niva (project lead), UiT–The Arctic University of Norway, The Norwegian Institute for Water Research (NIVA), Norwegian Institute of Nature Research (NINA), Scripps Institution of Oceanography and The Technical University of Denmark (DTU-Aqua).

Funding: The Research Council of Norway (researcher project for young talents, Thematic Priority Call - OCEANS).

Main objective: Developing a comprehensive understanding of the vertical migratory responses of keystone herbivorous copepod, C. finmarchicus to the cumulative impacts of climate-change-related light, temperature, food availability and visual predation risk environmental shifts expected in future high-latitude marine habitats.

Secondary objectives:

  • Developing a high-resolution mechanistic simulation model that allows an unconstrained representation of C. finmarchicus diel and seasonal vertical migrations.
  • Improving predictive potential of the above mechanistic model using empirical data with comparable spatial, temporal, and biological resolution.
  • Using the improved model to predict future diel & seasonal vertical migrations and the resultant ecological consequences of C. finmarchicus under the cumulative impact of light, temperature, food, and predation environmental shifts expected in future high-latitude habitats.

Summary: Vertical migration of zooplankton is known as the greatest synchronized animal movement of our planet. In the coastal and offshore waters of northern Norway, a tiny herbivorous copepod named Calanus finmarchicus performs two different vertical migrations. These include daily vertical movements of tens-to-hundreds of meters (diel vertical migration) and seasonal movements of hundreds-to-thousands of meters (seasonal vertical migration) in response to corresponding variations of irradiance, temperature, food availability and visual predation risk. These migrations play a paramount ecological and economic role because vertical behaviour, abundance and phenology of many commercially harvested fish species are linked to these, and vertical migrations contribute to the export of atmospheric carbon into the ocean's deep interior – a key process in the buffering of climate change. However, due to rapid rate of climate change, routine diel & seasonal environmental variability under which these migrations occur keep shifting unprecedentedly, and little is known about how vertical migrations of C. finmarchicus would respond to these environmental shifts. While the current understanding of the subject matter is rooted in studying the impacts of single environmental variables on vertical migrations, in the proposed project, Migratory Crossroads, we aim to study the cumulative impacts of irradiance, temperature, food and predation environmental shifts expected in future high-latitude marine habitats on C. finmarchicus diel and seasonal vertical migrations. This will be done using a hybrid mechanistic-empirical approach, where predictions of a simulation model with an unconstrained representation of vertical migrations will be validated with cutting-edge high-resolution field data. Through Migratory Crossroads, we aim to accurately predict future dynamics of C. finmarchicus vertical migrations and their impacts on the ecological and economic benefits reaped from these migrations.

See video: UN Ocean Decade endorsing project Migratory Crossroads

  • Working paper
    1. Migratory Crossroads project proposal

      Kanchana Bandara, Sünnje Linnéa Basedow [+13]

      Zenodo 2025-06-12

    Conference presentation
    Dataset
    Popular science article
    1. Den største forflytningen av dyr på planeten - Framsenteret

      Trude Kristin Borch & Kanchana Bandara

      Fram Forum 2025

    2. Zooplankton simulated reality - Framforum

      Kanchana Bandara

      Fram Forum 2025

    MediaBlogPost
    1. Stakeholder meeting investigating new methodologies for zooplankton mapping

      Lionel Camus & Trude Kristin Borch

      Mynewsdesk 2025

    2. Winterly kick-off for two Akvaplan-niva research projects / Akvaplan-niva

      Trude Kristin Borch, Qin Zhou [+1]

      Mynewsdesk 2024

    3. Hi-tech havforskning / Akvaplan-niva

      Trude Kristin Borch

      Mynewsdesk 2024

    Master thesis
    1. Optimizing Deep Learning in Marine Entities Classification

      Katja Sivertsen

      Norges teknisk-naturvitenskapelige universitet 2025

    2. Overwintering Calanus finmarchicus in Ullsfjord

      Anni Joamets

      UiT Norges arktiske universitet 2025

    3. Optimize Plankton Image Classification

      Katrina Lie

      Universitetet i Agder 2024

    Research report
    1. Migratory Crossroads Cruise Report (June 2024)

      Pierre Priou, Kanchana Bandara [+7]

      Zenodo 2025

    2. Migratory Crossroads Cruise Report (October 2024)

      Sünnje Linnéa Basedow, Pierre Priou [+2]

      Zenodo 2024

    Lecture

    Publisert 2023-11-22, oppdatert 2025-11-20. Registered in Norwegian Research Information Repository.