DOAJ Open Access 2023

Computing marine plankton connectivity under thermal constraints

Darshika Manral Doroteaciro Iovino Olivier Jaillon Olivier Jaillon Simona Masina +5 lainnya

Abstrak

Ocean currents are a key driver of plankton dispersal across the oceanic basins. However, species specific temperature constraints may limit the plankton dispersal. We propose a methodology to estimate the connectivity pathways and timescales for plankton species with given constraints on temperature tolerances, by combining Lagrangian modeling with network theory. We demonstrate application of two types of temperature constraints: thermal niche and adaptation potential and compare it to the surface water connectivity between sample stations in the Atlantic Ocean. We find that non-constrained passive particles representative of a plankton species can connect all the stations within three years at the surface with pathways mostly along the major ocean currents. However, under thermal constraints, only a subset of stations can establish connectivity. Connectivity time increases marginally under these constraints, suggesting that plankton can keep within their favorable thermal conditions by advecting via slightly longer paths. Effect of advection depth on connectivity is observed to be sensitive to the width of the thermal constraints, along with decreasing flow speeds with depth and possible changes in pathways.

Penulis (10)

D

Darshika Manral

D

Doroteaciro Iovino

O

Olivier Jaillon

O

Olivier Jaillon

S

Simona Masina

H

Hugo Sarmento

D

Daniele Iudicone

L

Linda Amaral-Zettler

L

Linda Amaral-Zettler

E

Erik van Sebille

Format Sitasi

Manral, D., Iovino, D., Jaillon, O., Jaillon, O., Masina, S., Sarmento, H. et al. (2023). Computing marine plankton connectivity under thermal constraints. https://doi.org/10.3389/fmars.2023.1066050

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Informasi Jurnal
Tahun Terbit
2023
Sumber Database
DOAJ
DOI
10.3389/fmars.2023.1066050
Akses
Open Access ✓