Detalle Publicación

ART��CULO

biomonitoR: an R package for managing ecological data and calculating biomonitoring indices

Autores: Laini, A.; Guareschi, S. (Autor de correspondencia); Bolpagni, R.; Burgazzi, G.; Bruno, D.; Gutiérrez-Cánovas, C.; Miranda Ferreiro, Rafael; Mondy, C.; Várbíró, G.; Cancellario, Tommaso
Título de la revista: PEERJ
ISSN: 2167-8359
Volumen: 10
Páginas: e14183
Fecha de publicación: 2022
Resumen:
The monitoring of biological indicators is required to assess the impacts of environmental policies, compare ecosystems and guide management and conservation actions. However, the growing availability of ecological data has not been accompanied by concomitant processing tools able to facilitate data handling and analysis. Multiple common challenges limit the usefulness of biomonitoring information across ecosystems and biological groups. Biomonitoring data analysis is currently constrained by time-consuming steps for data preparation and a data processing environment with limited integration in terms of software, biological groups, and protocols. We introduce biomonitoR, a package for the R programming language that addresses technical challenges for the management of ecological data and metrics calculation. biomonitoR implements most of the biological indices currently used or proposed in different fields of ecology and water resource management. Its combination of customizable functions aims to support a transferable and comprehensive biomonitoring workflow in a user-friendly environment.