Contribution of Citizen Science Data on the Evaluation of Local Biodiversity of Benthic Macroinvertebrate Communities

Citizen science is increasingly utilized for environmental monitoring and educational purposes. For lotic ecosystems, this approach could be used to implement traditional methods and gain more data on local biodiversity, particularly in areas where professional monitoring is limited. This study, conducted in Italy, aimed to complement data on river macroinvertebrates collected by the Regional Environmental Protection Agency (ARPA) with additional data gained by volunteers. Our results revealed taxonomic differences between the macroinvertebrate communities of ARPA and citizen science sites. ARPA sites host 34.4% of the total biodiversity, with 22 exclusive taxa, while citizen science sites, with 6 exclusive taxa, represent 9.4% of the total gamma diversity. Compositional differences are mainly explained by taxa turnover between sites. ARPA sites, located along the main river stretches, are richer in alpha and gamma diversity, while volunteer-monitored sites, mostly in agricultural ditches, show lower richness at the local and regional scales but host some unique taxa, increasing the total biodiversity. This study supports the implementation of volunteer programs to increase the number of monitored rivers, enhancing information on macroinvertebrate diversity and distribution and generating relevant data to support decision-making and develop strategies for river conservation and ecosystem restoration at a local scale.

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Publication Details

Journal
Ecologies
Published
2025-04-02
DOI
https://doi.org/10.3390/ecologies6020031
Citations
2
Primary Topic
Marine Biology and Ecology Research
Type
article
Field-Weighted Citation Impact
3.59

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article

Contribution of Citizen Science Data on the Evaluation of Local Biodiversity of Benthic Macroinvertebrate Communities

Alessandro Lagrotteria, Alberto Doretto, Samuele Roccatello
2 citations
Ecologies
Marine Biology and Ecology Research
3.59
article

Contribution of Citizen Science Data on the Evaluation of Local Biodiversity of Benthic Macroinvertebrate Communities

Alessandro Lagrotteria, Alberto Doretto, Samuele Roccatello
article en
2 citations

Abstract

Citizen science is increasingly utilized for environmental monitoring and educational purposes. For lotic ecosystems, this approach could be used to implement traditional methods and gain more data on local biodiversity, particularly in areas where professional monitoring is limited. This study, conducted in Italy, aimed to complement data on river macroinvertebrates collected by the Regional Environmental Protection Agency (ARPA) with additional data gained by volunteers. Our results revealed taxonomic differences between the macroinvertebrate communities of ARPA and citizen science sites. ARPA sites host 34.4% of the total biodiversity, with 22 exclusive taxa, while citizen science sites, with 6 exclusive taxa, represent 9.4% of the total gamma diversity. Compositional differences are mainly explained by taxa turnover between sites. ARPA sites, located along the main river stretches, are richer in alpha and gamma diversity, while volunteer-monitored sites, mostly in agricultural ditches, show lower richness at the local and regional scales but host some unique taxa, increasing the total biodiversity. This study supports the implementation of volunteer programs to increase the number of monitored rivers, enhancing information on macroinvertebrate diversity and distribution and generating relevant data to support decision-making and develop strategies for river conservation and ecosystem restoration at a local scale.

EcologiesVol. 6(2)
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT), National Research Council (IT)
Compagnia di San Paolo, European Commission, Advanced Research Projects Agency
Openalex Percentile: Top 9%
Marine Biology and Ecology Research
3.59
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Contribution of Citizen Science Data on the Evaluation of Local Biodiversity of Benthic Macroinvertebrate Communities — Alessandro Lagrotteria, Alberto Doretto, et al. · Ecologies (2025) | TGRS Research Map | TGRS