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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Main Authors: Mariela González-Narváez, María José Fernández-Gómez, Susana Mendes, José-Luis Molina, Omar Ruiz-Barzola, Purificación Galindo-Villardón
Format: Article in Journal/Newspaper
Language:unknown
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Online Access:https://www.mdpi.com/2071-1050/13/11/5924/pdf
https://www.mdpi.com/2071-1050/13/11/5924/
id ftrepec:oai:RePEc:gam:jsusta:v:13:y:2021:i:11:p:5924-:d:561351
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spelling ftrepec:oai:RePEc:gam:jsusta:v:13:y:2021:i:11:p:5924-:d:561351 2024-04-14T08:02:43+00:00 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 https://www.mdpi.com/2071-1050/13/11/5924/pdf https://www.mdpi.com/2071-1050/13/11/5924/ unknown https://www.mdpi.com/2071-1050/13/11/5924/pdf https://www.mdpi.com/2071-1050/13/11/5924/ article ftrepec 2024-03-19T10:41:02Z 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. MixSTATICO; mixed data; multi-way; species–environment; sustainability Article in Journal/Newspaper Antarc* antarcticus RePEc (Research Papers in Economics) Pacific
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
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. MixSTATICO; mixed data; multi-way; species–environment; sustainability
format Article in Journal/Newspaper
author Mariela González-Narváez
María José Fernández-Gómez
Susana Mendes
José-Luis Molina
Omar Ruiz-Barzola
Purificación Galindo-Villardón
spellingShingle 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
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
url https://www.mdpi.com/2071-1050/13/11/5924/pdf
https://www.mdpi.com/2071-1050/13/11/5924/
geographic Pacific
geographic_facet Pacific
genre Antarc*
antarcticus
genre_facet Antarc*
antarcticus
op_relation https://www.mdpi.com/2071-1050/13/11/5924/pdf
https://www.mdpi.com/2071-1050/13/11/5924/
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