A data set including information on macroinvertebrates identified to genus/species group/species level was created within the monitoring activities of several European and national projects. The data set includes 2111 macroinvertebrate records on temporal fragmentary data from lakes Paione (upper, middle, and lower lakes Paione), and 530 records on spatial data relative to eight other high-altitude lakes from the Ossola Valley (North-western Italy, Piedmont, Central Alps). The study area is included within the Lake Maggiore watershed. All records are georeferenced because, since the beginning of the studies, temporal data were taken in the same sampling sites over years. The temporal data span the period 1989-2020, the spatial data refer to the 2019-2020 sampling activity. The dataset is available for download in .csv format at the Global Biodiversity Information Facility (GBIF) data infrastructure.

Geotargeting spatial and temporal data of Italian freshwater high-altitude macroinvertebrates

Angela Boggero;
2023

Abstract

A data set including information on macroinvertebrates identified to genus/species group/species level was created within the monitoring activities of several European and national projects. The data set includes 2111 macroinvertebrate records on temporal fragmentary data from lakes Paione (upper, middle, and lower lakes Paione), and 530 records on spatial data relative to eight other high-altitude lakes from the Ossola Valley (North-western Italy, Piedmont, Central Alps). The study area is included within the Lake Maggiore watershed. All records are georeferenced because, since the beginning of the studies, temporal data were taken in the same sampling sites over years. The temporal data span the period 1989-2020, the spatial data refer to the 2019-2020 sampling activity. The dataset is available for download in .csv format at the Global Biodiversity Information Facility (GBIF) data infrastructure.
2023
Istituto di Ricerca Sulle Acque - IRSA
aquatic habitat;
zoobentho
occurrence
mountain area
geographic distribution
long-term data
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/458953
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