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

Alex Laini1,2, Simone Guareschi3,4, Rossano Bolpagni1

  • 1Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.

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Summary

Biomonitoring data analysis is challenging due to limited tools. The new biomonitoR R package simplifies ecological data management and metric calculation, aiding environmental policy assessment and conservation efforts.

Keywords:
BioassessmentDecision-making toolsEcological indicatorsEnvironmental managementFunctional metricsTaxonomic indices

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Area of Science:

  • Ecology
  • Environmental Science
  • Computational Biology

Background:

  • Ecological data is growing, but processing tools are lacking, hindering biomonitoring.
  • Current biomonitoring analysis faces challenges in data preparation, integration, and limited software compatibility.
  • These limitations impede effective ecosystem comparison, policy assessment, and conservation actions.

Purpose of the Study:

  • To introduce biomonitoR, an R package designed to overcome technical challenges in ecological data management and metric calculation.
  • To provide a user-friendly and integrated environment for biomonitoring data analysis across diverse biological groups and ecosystems.
  • To support a comprehensive and transferable biomonitoring workflow for environmental management and conservation.

Main Methods:

  • Development of the biomonitoR package for the R programming language.
  • Implementation of a wide range of biological indices for ecological and water resource management.
  • Integration of customizable functions for taxonomic checking, heterogeneous taxonomic resolution, and data visualization.
  • Inclusion of an interactive web application accessible directly from R.

Main Results:

  • biomonitoR offers a versatile toolbox addressing key biomonitoring challenges.
  • The package facilitates taxonomic information checking and supports variable taxonomic resolutions.
  • It enables the calculation of multiple biological indices and user-friendly data visualization.
  • An interactive web application enhances accessibility and usability for the biomonitoring community.

Conclusions:

  • biomonitoR significantly improves the management and analysis of ecological data for biomonitoring.
  • The package enhances the utility of biomonitoring information for environmental policy assessment and conservation.
  • biomonitoR provides a valuable, user-friendly resource for ecologists, consultants, and resource managers.