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Spatial variability of the Po River food web and its comparison with the Danube River food web.
Patonai, Katalin; Jordán, Ferenc; Castaldelli, Giuseppe; Congiu, Leonardo; Gavioli, Anna.
Afiliación
  • Patonai K; Department of Environmental and Prevention Sciences, University of Ferrara, Ferrara, Italy.
  • Jordán F; Department of Plant Systematics, Ecology and Theoretical Biology, Eötvös Loránd University, Budapest, Hungary.
  • Castaldelli G; Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.
  • Congiu L; Department of Environmental and Prevention Sciences, University of Ferrara, Ferrara, Italy.
  • Gavioli A; Department of Biology, University of Padua, Padova, Italy.
PLoS One ; 18(7): e0288652, 2023.
Article en En | MEDLINE | ID: mdl-37450464
ABSTRACT
Freshwater ecosystems are experiencing unprecedented pressure globally. To address environmental challenges, systematic and comparative studies on ecosystems are needed, though mostly lacking, especially for rivers. Here, we describe the food web of the Po River (as integrated from the white literature and monitoring data), describe the three river sections using network analysis, and compare our results with the previously compiled Danube River food web. The Po River food web was taxonomically aggregated in five consecutive steps (T1-T5) and it was also analyzed using the regular equivalence (REGE) algorithm to identify structurally similar nodes in the most aggregated T5 model. In total, the two river food webs shared 30 nodes. Two network metrics (normalized degree centrality [nDC]) and normalized betweenness centrality [nBC]) were compared using Mann-Whitney tests in the two rivers. On average, the Po River nodes have larger nDC values than in the Danube, meaning that neighboring connections are better mapped. Regarding nBC, there were no significant differences between the two rivers. Finally, based on both centrality indices, Carassius auratus is the most important node in the Po River food web, whereas phytoplankton and detritus are most important in the Danube River. Using network analysis and comparative methods, it is possible to draw attention to important trophic groups and knowledge gaps, which can guide future research. These simple models for the Po River food web can pave the way for more advanced models, supporting quantitative and predictive-as well as more functional-descriptions of ecosystems.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ecosistema / Cadena Alimentaria Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ecosistema / Cadena Alimentaria Tipo de estudio: Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2023 Tipo del documento: Article País de afiliación: Italia