Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO
[EN]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...
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ftunivsalamanca:oai:gredos.usal.es:10366/154340 2024-02-11T09:57:18+01:00 Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO González Narváez, Mariela Alexandra Fernández Gómez, María José Mendes, Susana Luisa da Custodia Machado Molina, José Luis Ruiz Barzola, Omar Galindo Villardón, Purificación 2021 http://hdl.handle.net/10366/154340 eng eng MDPI https://doi.org/10.3390/su13115924 http://hdl.handle.net/10366/154340 2071-1050 CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ info:eu-repo/semantics/openAccess MixSTATICO Mixed data multi-way species–environment sustainability 1209 Estadística info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2021 ftunivsalamanca https://doi.org/10.3390/su13115924 2024-01-24T00:17:23Z [EN]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 Universidad de Salamanca: Gredos (Gestión del Repositorio Documental de la Universidad de Salamanca) Pacific Sustainability 13 11 5924 |
institution |
Open Polar |
collection |
Universidad de Salamanca: Gredos (Gestión del Repositorio Documental de la Universidad de Salamanca) |
op_collection_id |
ftunivsalamanca |
language |
English |
topic |
MixSTATICO Mixed data multi-way species–environment sustainability 1209 Estadística |
spellingShingle |
MixSTATICO Mixed data multi-way species–environment sustainability 1209 Estadística González Narváez, Mariela Alexandra Fernández Gómez, María José Mendes, Susana Luisa da Custodia Machado Molina, José Luis Ruiz Barzola, Omar Galindo Villardón, Purificación Study of Temporal Variations in Species–Environment Association through an Innovative Multivariate Method: MixSTATICO |
topic_facet |
MixSTATICO Mixed data multi-way species–environment sustainability 1209 Estadística |
description |
[EN]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 |
González Narváez, Mariela Alexandra Fernández Gómez, María José Mendes, Susana Luisa da Custodia Machado Molina, José Luis Ruiz Barzola, Omar Galindo Villardón, Purificación |
author_facet |
González Narváez, Mariela Alexandra Fernández Gómez, María José Mendes, Susana Luisa da Custodia Machado Molina, José Luis Ruiz Barzola, Omar Galindo Villardón, Purificación |
author_sort |
González Narváez, Mariela Alexandra |
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 |
publishDate |
2021 |
url |
http://hdl.handle.net/10366/154340 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Antarc* antarcticus |
genre_facet |
Antarc* antarcticus |
op_relation |
https://doi.org/10.3390/su13115924 http://hdl.handle.net/10366/154340 2071-1050 |
op_rights |
CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/su13115924 |
container_title |
Sustainability |
container_volume |
13 |
container_issue |
11 |
container_start_page |
5924 |
_version_ |
1790609582452637696 |