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Title:Exploring the mesoscale connectivity of phytoplankton periodic assemblages' succession in northern Adriatic pelagic habitats
Authors:ID Vascotto, Ivano (Author)
ID Bernardi Aubry, Fabrizio (Author)
ID Bastianini, Mauro (Author)
ID Mozetič, Patricija (Author)
ID Finotto, Stefania (Author)
ID Francé, Janja (Author)
Files:URL URL - Source URL, visit https://doi.org/10.1016/j.scitotenv.2023.169814
 
.pdf PDF - Presentation file, download (6,94 MB)
MD5: FD660520292900F8761BAD458019DF80
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo NIB - National Institute of Biology
Abstract:An appropriate model for phytoplankton distribution patterns is critical for understanding biogeochemical cycles and trophic interactions in the oceans and seas. Because phytoplankton dynamics in coastal waters are more complex due to shallow depth and proximity to land, more accurate models applied to the correct spatial and temporal scales are needed. Our study investigates the role of the atmosphere and hydrosphere in pelagic habitat by modelling phytoplankton assemblages at two Long Term Ecological Research sites in the northern Adriatic Sea using niche-forming environmental variables (wind, temperature, salinity, river discharge, rain, and water column stratification). To study the synchronization between the phytoplankton community and these environmental variables at the two LTER sites, we applied current linear and nonlinear numerical methods for ecological modelling. The aim was to use periodic and/or non-periodic properties of the environmental variables to classify the phytoplankton assemblages at one LTER site (Gulf of Trieste - Slovenia) and then predict them at another LTER site 100 km away (Gulf of Venice - Italy). We found that periodicity played a role in the explanatory and predictive power of the environmental variables and that it was more important than non-periodic events in defining the common structure of the two pelagic habitats. The non-linear classification functions of the neural networks further increased the predictive power of these variables. We observed partial synchronization of communities at the mesoscale and differences between the original and predicted assemblages under similar environmental conditions. We conclude that mesoscale connectivity plays an important role in phytoplankton communities in the northern Adriatic. However, the loss of periodicity of niche-forming variables due to more frequent extreme meteorological and hydrological events could loosen these connections and affect the temporal succession of phytoplankton assemblages.
Keywords:phytoplankton, assemblages, Northern Adriatic, phenology, marine biology, hydrobiology
Publication status:Published
Publication version:Version of Record
Publication date:25.02.2024
Year of publishing:2024
Number of pages:str. [1]-14
Numbering:Vol. 913, art. 169814
PID:20.500.12556/DiRROS-18936 New window
UDC:574
ISSN on article:0048-9697
DOI:10.1016/j.scitotenv.2023.169814 New window
COBISS.SI-ID:181633539 New window
Note:Soavtorji: Fabrizio Bernardi Aubry, Mauro Bastianini, Patricija Mozetič, Stefania Finotto, Janja Francé;
Publication date in DiRROS:16.05.2024
Views:645
Downloads:521
Metadata:XML DC-XML DC-RDF
:
VASCOTTO, Ivano, BERNARDI AUBRY, Fabrizio, BASTIANINI, Mauro, MOZETIČ, Patricija, FINOTTO, Stefania and FRANCÉ, Janja, 2024, Exploring the mesoscale connectivity of phytoplankton periodic assemblages’ succession in northern Adriatic pelagic habitats. Science of the total environment [online]. 2024. Vol. 913, no. 169814, p. 1–14. [Accessed 7 April 2025]. DOI 10.1016/j.scitotenv.2023.169814. Retrieved from: https://dirros.openscience.si/IzpisGradiva.php?lang=eng&id=18936
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Record is a part of a journal

Title:Science of the total environment
Shortened title:Sci. total environ.
Publisher:Elsevier
ISSN:0048-9697
COBISS.SI-ID:26369024 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0237-2020
Name:Raziskave obalnega morja
Funder:EC - European Commission
Funding programme:H2020
Project number:730984
Name:Association of European Marine Biological Laboratories Expanded
Acronym:ASSEMBLE Plus

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:fitoplankton, periodičnost, severni Jadran, fenologija, okoljski dejavniki, biologija morja, hidrobiologija


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