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Long-Term Phytoplankton Dynamics in a Complex Temporal Realm
Faced with an environment of accelerated change, the long-term dynamics of biotic communities can be approached to build a consistent and causal picture of the communities’ life. We have undertaken a 25-year monthly-sampling study on the phytoplankton of a meso-oligotrophic lake, paying attention to...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6828802/ https://www.ncbi.nlm.nih.gov/pubmed/31685884 http://dx.doi.org/10.1038/s41598-019-52333-z |
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author | Alvarez-Cobelas, M. Rojo, C. Benavent-Corai, J. |
author_facet | Alvarez-Cobelas, M. Rojo, C. Benavent-Corai, J. |
author_sort | Alvarez-Cobelas, M. |
collection | PubMed |
description | Faced with an environment of accelerated change, the long-term dynamics of biotic communities can be approached to build a consistent and causal picture of the communities’ life. We have undertaken a 25-year monthly-sampling study on the phytoplankton of a meso-oligotrophic lake, paying attention to controlling factors of overall biomass (TB) and taxonomical group biomass (TGBs). Long-term series included decreased trends of TB and TGBs, and multi-scale periodicity. A decadal TB periodicity emerged related to nitrogen concentration and Cryptophytes. Annual periodicities were mainly related to air and water temperature controlling the abundance of Chlorophytes or Dinoflagellates. Intra-annual cycles could arise from autogenic processes. The analysis by periods revealed relevant dynamics (for example, Diatom periodicities), hidden in the analysis of the complete series. These results allow us to establish that: i) two organizational levels of phytoplankton change differently in time scales from months to decades; ii) controlling factors (climate, water physics and chemistry) act at different time scales and on different TGBs, and iii) different combinations of the “taxonomical group-control factor-trend and periodicity” set throughout the studied time explain total biomass dynamics. A holistic approach (multiple complementary analyses) is necessary to disentangle the different actors and relationships that explain non-stationary long-term phytoplankton dynamics. |
format | Online Article Text |
id | pubmed-6828802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68288022019-11-12 Long-Term Phytoplankton Dynamics in a Complex Temporal Realm Alvarez-Cobelas, M. Rojo, C. Benavent-Corai, J. Sci Rep Article Faced with an environment of accelerated change, the long-term dynamics of biotic communities can be approached to build a consistent and causal picture of the communities’ life. We have undertaken a 25-year monthly-sampling study on the phytoplankton of a meso-oligotrophic lake, paying attention to controlling factors of overall biomass (TB) and taxonomical group biomass (TGBs). Long-term series included decreased trends of TB and TGBs, and multi-scale periodicity. A decadal TB periodicity emerged related to nitrogen concentration and Cryptophytes. Annual periodicities were mainly related to air and water temperature controlling the abundance of Chlorophytes or Dinoflagellates. Intra-annual cycles could arise from autogenic processes. The analysis by periods revealed relevant dynamics (for example, Diatom periodicities), hidden in the analysis of the complete series. These results allow us to establish that: i) two organizational levels of phytoplankton change differently in time scales from months to decades; ii) controlling factors (climate, water physics and chemistry) act at different time scales and on different TGBs, and iii) different combinations of the “taxonomical group-control factor-trend and periodicity” set throughout the studied time explain total biomass dynamics. A holistic approach (multiple complementary analyses) is necessary to disentangle the different actors and relationships that explain non-stationary long-term phytoplankton dynamics. Nature Publishing Group UK 2019-11-04 /pmc/articles/PMC6828802/ /pubmed/31685884 http://dx.doi.org/10.1038/s41598-019-52333-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Alvarez-Cobelas, M. Rojo, C. Benavent-Corai, J. Long-Term Phytoplankton Dynamics in a Complex Temporal Realm |
title | Long-Term Phytoplankton Dynamics in a Complex Temporal Realm |
title_full | Long-Term Phytoplankton Dynamics in a Complex Temporal Realm |
title_fullStr | Long-Term Phytoplankton Dynamics in a Complex Temporal Realm |
title_full_unstemmed | Long-Term Phytoplankton Dynamics in a Complex Temporal Realm |
title_short | Long-Term Phytoplankton Dynamics in a Complex Temporal Realm |
title_sort | long-term phytoplankton dynamics in a complex temporal realm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6828802/ https://www.ncbi.nlm.nih.gov/pubmed/31685884 http://dx.doi.org/10.1038/s41598-019-52333-z |
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