Computing marine plankton connectivity under thermal constraints
Manral, Darshika; Iovino, Doroteaciro; Jaillon, Olivier; Masina, Simona; Sarmento, Hugo; Iudicone, Daniele; Amaral-Zettler, Linda; van Sebille, Erik
(2023) Frontiers in marine science, volume 10, pp. 1 - 13
(Article)
Abstract
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.
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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.
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Keywords: adaptation potential, Atlantic Ocean, Lagrangian connectivity, marine plankton, thermal niche, Oceanography, Global and Planetary Change, Aquatic Science, Water Science and Technology, Environmental Science (miscellaneous), Ocean Engineering
ISSN: 2296-7745
Publisher: Frontiers Media S.A.
Note: Funding Information: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 862923. This output reflects only the author’s view, and the European Union cannot be held responsible for any use that may be made of the information contained therein. Funding Information: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 862923. This output reflects only the author’s view, and the European Union cannot be held responsible for any use that may be made of the information contained therein. Acknowledgments Publisher Copyright: Copyright © 2023 Manral, Iovino, Jaillon, Masina, Sarmento, Iudicone, Amaral-Zettler and van Sebille.
(Peer reviewed)
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