Spatial and temporal patterns of macroinvertebrate assemblages in the River Po catchment (Northern Italy)

Date published

2020-08-31

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MDPI

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Article

ISSN

2073-4441

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Citation

Fornaroli R, White JC, Boggero A, Laini A. (2020) Spatial and temporal patterns of macroinvertebrate assemblages in the River Po catchment (Northern Italy). Water (Switzerland), Volume 12, Issue 9, Article number 2452

Abstract

In the last decade, large scale biomonitoring programs have been implemented to obtain a robust understanding of freshwater in the name of helping to inform and develop effective restoration and management plans. A comprehensive biomonitoring dataset on the macroinvertebrate assemblages inhabiting the rivers of the Po Valley (northern Italy), comprised a total of 6762 sampling events (period 2007–2018), was analyzed in this study in order to examine coarse spatial and temporal trends displayed by biotic communities. Our results showed that macroinvertebrate compositions and derived structural and functional metrics were controlled by multiple environmental drivers, including altitude and climate (large scale), as well as habitat characteristics (local scale). Altitude proved to be the primary geographic driver, likely due to its association with thermal and precipitation regimes, thus explaining its overriding influence on macroinvertebrate assemblages. Significant temporal variations were observed across the study period, but notably in 2017, the overall taxonomic richness and diversity increased at the expense of Ephemeroptera, Plectoptera and Trichoptera taxa during an unprecedented heatwave that occurred across southern Europe. The detail of this study dataset allowed for important environmental attributes (e.g., altitude, habitat characteristics) shaping biotic communities to be identified, along with ecologically vulnerable regions and time periods (e.g., extreme climatic events). Such research is required globally to help inform large-scale management and restoration efforts that are sustainable over long-term periods.

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Github

Keywords

bioassessment, temporal trend, altitude, climate, insects

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Attribution 4.0 International

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