SAIFR:2810

Behavioral signatures in phytoplankton blooms

APA

(2022). Behavioral signatures in phytoplankton blooms. ICTP South American Institute for Fundamental Research. https://scivideos.org/index.php/ictp-saifr/2810

MLA

Behavioral signatures in phytoplankton blooms. ICTP South American Institute for Fundamental Research, Apr. 05, 2022, https://scivideos.org/index.php/ictp-saifr/2810

BibTex

          @misc{ scivideos_SAIFR:2810,
            doi = {},
            url = {https://scivideos.org/index.php/ictp-saifr/2810},
            author = {},
            keywords = {ICTP-SAIFR, IFT, UNESP},
            language = {en},
            title = {Behavioral signatures in phytoplankton blooms},
            publisher = { ICTP South American Institute for Fundamental Research},
            year = {2022},
            month = {apr},
            note = {SAIFR:2810 see, \url{https://scivideos.org/index.php/ictp-saifr/2810}}
          }
          
Eduardo Colombo
Talk numberSAIFR:2810
Source RepositoryICTP – SAIFR
Talk Type Conference
Subject

Abstract

A fundamental problem in ecology is how individual-level behavior produces macroecological outcomes. The challenges involved in addressing this issue are not only related to the complexity that nature exhibits across scales but also to the fact that theoretical approaches are inevitably scale-constrained, focusing either on the small or large scales. In this seminar, I will present how we applied the multiscale framework that collaborators and I have developed to address the kilometer-scale patterns produced by plankton communities. To further our understanding regarding their bottom-up regulation, we performed a coarse-graining procedure of an agent-based model for a phytoplankton-zooplankton community. The coarse-graining procedure provides a scalable density-field description that maps large-scale features of spatial patterns to individual-level behavior. This powerful connection can guide remote-sensing applications: revealing species' traits and behavior and helping to anticipate regime shifts in the ocean.