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...
Published in: | Sustainability |
---|---|
Main Authors: | , , , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2021
|
Subjects: | |
Online Access: | https://doi.org/10.3390/su13115924 |
id |
ftmdpi:oai:mdpi.com:/2071-1050/13/11/5924/ |
---|---|
record_format |
openpolar |
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 |
_version_ |
1774712280079925248 |