Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO
The study of biotic and abiotic factors and their interrelationships is essential in the preservation of sustainable marine ecosystems and for understanding the impact that climate change can have on different species. For instance, phytoplankton are extremely vulnerable to environmental changes and...
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2021
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Online Access: | https://doi.org/10.3390/su13115924 https://doaj.org/article/9e721db9fa5c467c9ac0500c0eb52a26 |
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ftdoajarticles:oai:doaj.org/article:9e721db9fa5c467c9ac0500c0eb52a26 2023-05-15T13:58:47+02:00 Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO Mariela González-Narváez María José Fernández-Gómez Susana Mendes José-Luis Molina Omar Ruiz-Barzola Purificación Galindo-Villardón 2021-05-01T00:00:00Z https://doi.org/10.3390/su13115924 https://doaj.org/article/9e721db9fa5c467c9ac0500c0eb52a26 EN eng MDPI AG https://www.mdpi.com/2071-1050/13/11/5924 https://doaj.org/toc/2071-1050 doi:10.3390/su13115924 2071-1050 https://doaj.org/article/9e721db9fa5c467c9ac0500c0eb52a26 Sustainability, Vol 13, Iss 5924, p 5924 (2021) MixSTATICO mixed data multi-way species–environment sustainability Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 article 2021 ftdoajarticles https://doi.org/10.3390/su13115924 2022-12-30T20:19:58Z The study of biotic and abiotic factors and their interrelationships is essential in the preservation of sustainable marine ecosystems and for understanding the impact that climate change can have on different species. For instance, phytoplankton are extremely vulnerable to environmental changes and thus studying the factors involved is important for the species’ conservation. This work examines the relationship between phytoplankton and environmental parameters of the eastern equatorial Pacific, known as one of the most biologically rich regions in the world. For this purpose, a new multivariate method called MixSTATICO has been developed, allowing mixed-type data structured in two different groups (environment and species) to be related and measured on a space–time scale. The results obtained show how seasons have an impact on species–environment relations, with the most significant association occurring in November and the weakest during the month of May (change of season). The species Lauderia borealis , Chaetoceros didymus and Gyrodinium sp. were not observed in the coastal profiles during the dry season at most stations, while during the rainy season, the species Dactyliosolen antarcticus , Proboscia alata and Skeletonema costatum were not detected. Using MixSTATICO, species vulnerable to specific geographical locations and environmental variations were identified, making it possible to establish biological indicators for this region. Article in Journal/Newspaper Antarc* antarcticus Directory of Open Access Journals: DOAJ Articles Pacific Sustainability 13 11 5924 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
MixSTATICO mixed data multi-way species–environment sustainability Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 |
spellingShingle |
MixSTATICO mixed data multi-way species–environment sustainability Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Mariela González-Narváez María José Fernández-Gómez Susana Mendes José-Luis Molina Omar Ruiz-Barzola Purificación Galindo-Villardón Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO |
topic_facet |
MixSTATICO mixed data multi-way species–environment sustainability Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 |
description |
The study of biotic and abiotic factors and their interrelationships is essential in the preservation of sustainable marine ecosystems and for understanding the impact that climate change can have on different species. For instance, phytoplankton are extremely vulnerable to environmental changes and thus studying the factors involved is important for the species’ conservation. This work examines the relationship between phytoplankton and environmental parameters of the eastern equatorial Pacific, known as one of the most biologically rich regions in the world. For this purpose, a new multivariate method called MixSTATICO has been developed, allowing mixed-type data structured in two different groups (environment and species) to be related and measured on a space–time scale. The results obtained show how seasons have an impact on species–environment relations, with the most significant association occurring in November and the weakest during the month of May (change of season). The species Lauderia borealis , Chaetoceros didymus and Gyrodinium sp. were not observed in the coastal profiles during the dry season at most stations, while during the rainy season, the species Dactyliosolen antarcticus , Proboscia alata and Skeletonema costatum were not detected. Using MixSTATICO, species vulnerable to specific geographical locations and environmental variations were identified, making it possible to establish biological indicators for this region. |
format |
Article in Journal/Newspaper |
author |
Mariela González-Narváez María José Fernández-Gómez Susana Mendes José-Luis Molina Omar Ruiz-Barzola Purificación Galindo-Villardón |
author_facet |
Mariela González-Narváez María José Fernández-Gómez Susana Mendes José-Luis Molina Omar Ruiz-Barzola Purificación Galindo-Villardón |
author_sort |
Mariela González-Narváez |
title |
Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO |
title_short |
Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO |
title_full |
Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO |
title_fullStr |
Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO |
title_full_unstemmed |
Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO |
title_sort |
study of temporal variations in species–environment association through an innovative multivariate method: mixstatico |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/su13115924 https://doaj.org/article/9e721db9fa5c467c9ac0500c0eb52a26 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Antarc* antarcticus |
genre_facet |
Antarc* antarcticus |
op_source |
Sustainability, Vol 13, Iss 5924, p 5924 (2021) |
op_relation |
https://www.mdpi.com/2071-1050/13/11/5924 https://doaj.org/toc/2071-1050 doi:10.3390/su13115924 2071-1050 https://doaj.org/article/9e721db9fa5c467c9ac0500c0eb52a26 |
op_doi |
https://doi.org/10.3390/su13115924 |
container_title |
Sustainability |
container_volume |
13 |
container_issue |
11 |
container_start_page |
5924 |
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1766267151754199040 |