Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and harmful algae – Code and Dataset

This repository contains both R code and a dataset associated with the article "Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and harmful algae". The R code and data are provided for data processing, analysis,...

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Main Authors: Schiffrine, Nicolas, Dhifallah, Fatma, Dionne, Kaven, Poulin, Michel, Lessard, Sylvie, Rochon, André, Gosselin, Michel
Format: Report
Language:English
Published: Zenodo 2024
Subjects:
Online Access:https://doi.org/10.5281/zenodo.10557176
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record_format openpolar
spelling ftzenodo:oai:zenodo.org:10557176 2024-09-15T17:54:14+00:00 Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and harmful algae – Code and Dataset Schiffrine, Nicolas Dhifallah, Fatma Dionne, Kaven Poulin, Michel Lessard, Sylvie Rochon, André Gosselin, Michel 2024-01-23 https://doi.org/10.5281/zenodo.10557176 eng eng Zenodo https://doi.org/10.5281/zenodo.10498858 https://doi.org/10.5281/zenodo.10557176 oai:zenodo.org:10557176 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode phytoplankton Arctic occurrence database harmful algal species biodiversity info:eu-repo/semantics/workingPaper 2024 ftzenodo https://doi.org/10.5281/zenodo.1055717610.5281/zenodo.10498858 2024-07-25T14:33:23Z This repository contains both R code and a dataset associated with the article "Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and harmful algae". The R code and data are provided for data processing, analysis, and visualization. The Arctic Ocean is currently undergoing significant transformations due to climate change, leading to profound changes in its microbial planktonic communities. These communities consist of a wide range of organisms, including photoautotrophic prokaryotes and eukaryotes, as well as heterotrophic, phagotrophic, and mixotrophic protistan species. Here, for simplicity, we refer to these single-celled species as phytoplankton. Within this diversity, potentially toxic and/or harmful algal species (hereafter abbreviated as “HA”) are of particular concern. These organisms have the potential to spread into Arctic waters, posing threats to both human and ecosystem health. Despite their importance, the spatial and temporal distribution of phytoplankton communities, including HA species, in the North American Arctic, remains poorly understood. To address this gap, we compiled and synthesized the largest possible body of data from different databases, individual published and unpublished datasets, and partitioned it into nine regions based on the Large Marine Ecosystem classification. Our dataset contains 385800 individual georeferenced data points and 18268 unique sampling events, revealing greater diversity than previously thought, with 1445 unique taxa. Heterokontophyta (which notably included diatoms) and Dinoflagellata were the most dominant phyla. Our results indicate distinct spatial patterns of diversity, with the highest diversity observed in Atlantic-influenced regions of the North American Arctic. For most of the HA species recorded in our database, no evidence was found for an increase in the northernmost latitude where HA species are observed over the years, meaning that there is no substantial spread of ... Report Arctic Ocean Climate change Phytoplankton Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic phytoplankton
Arctic
occurrence
database
harmful algal species
biodiversity
spellingShingle phytoplankton
Arctic
occurrence
database
harmful algal species
biodiversity
Schiffrine, Nicolas
Dhifallah, Fatma
Dionne, Kaven
Poulin, Michel
Lessard, Sylvie
Rochon, André
Gosselin, Michel
Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and harmful algae – Code and Dataset
topic_facet phytoplankton
Arctic
occurrence
database
harmful algal species
biodiversity
description This repository contains both R code and a dataset associated with the article "Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and harmful algae". The R code and data are provided for data processing, analysis, and visualization. The Arctic Ocean is currently undergoing significant transformations due to climate change, leading to profound changes in its microbial planktonic communities. These communities consist of a wide range of organisms, including photoautotrophic prokaryotes and eukaryotes, as well as heterotrophic, phagotrophic, and mixotrophic protistan species. Here, for simplicity, we refer to these single-celled species as phytoplankton. Within this diversity, potentially toxic and/or harmful algal species (hereafter abbreviated as “HA”) are of particular concern. These organisms have the potential to spread into Arctic waters, posing threats to both human and ecosystem health. Despite their importance, the spatial and temporal distribution of phytoplankton communities, including HA species, in the North American Arctic, remains poorly understood. To address this gap, we compiled and synthesized the largest possible body of data from different databases, individual published and unpublished datasets, and partitioned it into nine regions based on the Large Marine Ecosystem classification. Our dataset contains 385800 individual georeferenced data points and 18268 unique sampling events, revealing greater diversity than previously thought, with 1445 unique taxa. Heterokontophyta (which notably included diatoms) and Dinoflagellata were the most dominant phyla. Our results indicate distinct spatial patterns of diversity, with the highest diversity observed in Atlantic-influenced regions of the North American Arctic. For most of the HA species recorded in our database, no evidence was found for an increase in the northernmost latitude where HA species are observed over the years, meaning that there is no substantial spread of ...
format Report
author Schiffrine, Nicolas
Dhifallah, Fatma
Dionne, Kaven
Poulin, Michel
Lessard, Sylvie
Rochon, André
Gosselin, Michel
author_facet Schiffrine, Nicolas
Dhifallah, Fatma
Dionne, Kaven
Poulin, Michel
Lessard, Sylvie
Rochon, André
Gosselin, Michel
author_sort Schiffrine, Nicolas
title Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and harmful algae – Code and Dataset
title_short Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and harmful algae – Code and Dataset
title_full Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and harmful algae – Code and Dataset
title_fullStr Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and harmful algae – Code and Dataset
title_full_unstemmed Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and harmful algae – Code and Dataset
title_sort microbial plankton occurrence database in the north american arctic region: synthesis of recent diversity of potentially toxic and harmful algae – code and dataset
publisher Zenodo
publishDate 2024
url https://doi.org/10.5281/zenodo.10557176
genre Arctic Ocean
Climate change
Phytoplankton
genre_facet Arctic Ocean
Climate change
Phytoplankton
op_relation https://doi.org/10.5281/zenodo.10498858
https://doi.org/10.5281/zenodo.10557176
oai:zenodo.org:10557176
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.1055717610.5281/zenodo.10498858
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