University of Tasmania
Browse

File(s) stored somewhere else

Please note: Linked content is NOT stored on University of Tasmania and we can't guarantee its availability, quality, security or accept any liability.

The Global Distribution and Drivers of Grazing Dynamics Estimated from Inverse Modelling

preprint
posted on 2023-07-10, 02:30 authored by Tyler RohrTyler Rohr, Anthony Richardson, Andrew Allan Lenton, Matthew A Chamberlain, Elizabeth H Shadwick
We use inverse modelling to infer the distribution and drivers of community-integrated zooplankton grazing dynamics based on the skill with which different grazing formulations recreate the satellite-observed seasonal cycle in phytoplankton biomass. We find that oligotrophic and eutrophic biomes require more and less efficient grazing dynamics, respectively. This is characteristic of micro- and mesozooplankton, respectively, and leads to a strong sigmoidal relationship between observed mean-annual phytoplankton biomass and the optimal grazing parameterization required to simulate its seasonal cycle. Globally, we find Type III rather than Type II functional response curves consistently exhibit higher skill. These new observationally-based distributions can help constrain, validate and develop next-generation biogeochemical models.

History

Department/School

Oceans and Cryosphere

Preprint server

Authorea

Usage metrics

    Institute for Marine and Antarctic Studies

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC