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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Published in:Sustainability
Main Authors: Mariela González-Narváez, María José Fernández-Gómez, Susana Mendes, José-Luis Molina, Omar Ruiz-Barzola, Purificación Galindo-Villardón
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2021
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Online Access:https://doi.org/10.3390/su13115924
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spelling ftmdpi:oai:mdpi.com:/2071-1050/13/11/5924/ 2023-08-20T04:01:54+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 agris 2021-05-24 application/pdf https://doi.org/10.3390/su13115924 EN eng Multidisciplinary Digital Publishing Institute Sustainability in Geographic Science https://dx.doi.org/10.3390/su13115924 https://creativecommons.org/licenses/by/4.0/ Sustainability; Volume 13; Issue 11; Pages: 5924 MixSTATICO mixed data multi-way species–environment sustainability Text 2021 ftmdpi https://doi.org/10.3390/su13115924 2023-08-01T01:47:40Z 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. Text Antarc* antarcticus MDPI Open Access Publishing Pacific Sustainability 13 11 5924
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic MixSTATICO
mixed data
multi-way
species–environment
sustainability
spellingShingle MixSTATICO
mixed data
multi-way
species–environment
sustainability
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
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 Text
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 Multidisciplinary Digital Publishing Institute
publishDate 2021
url https://doi.org/10.3390/su13115924
op_coverage agris
geographic Pacific
geographic_facet Pacific
genre Antarc*
antarcticus
genre_facet Antarc*
antarcticus
op_source Sustainability; Volume 13; Issue 11; Pages: 5924
op_relation Sustainability in Geographic Science
https://dx.doi.org/10.3390/su13115924
op_rights https://creativecommons.org/licenses/by/4.0/
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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