BEFANA is a free and open-source software tool for ecological network analysis and visualisation. It is adapted to ecologists??? needs and allows them to study the topology and dynamics of ecological networks as well as to apply selected machine learning algorithms. BEFANA is implemented in Python, and structured as an ordered collection of interactive computational notebooks. It relies on widely used open-source libraries, and aims to achieve simplicity, interactivity, and extensibility. BEFANA provides methods and implementations for data loading and pre-processing, network analysis and interactive visualisation, modelling with experimental data, and predictive modelling with machine learning. We showcase BEFANA through a concrete example of a detrital soil food web of one agricultural grassland, and demonstrate all of its main components and functionalities.

BEFANA: A tool for biodiversity-ecosystem functioning assessment by network analysis

Conti, E
Data Curation
;
Mulder, C
Ultimo
Supervision
2022-01-01

Abstract

BEFANA is a free and open-source software tool for ecological network analysis and visualisation. It is adapted to ecologists??? needs and allows them to study the topology and dynamics of ecological networks as well as to apply selected machine learning algorithms. BEFANA is implemented in Python, and structured as an ordered collection of interactive computational notebooks. It relies on widely used open-source libraries, and aims to achieve simplicity, interactivity, and extensibility. BEFANA provides methods and implementations for data loading and pre-processing, network analysis and interactive visualisation, modelling with experimental data, and predictive modelling with machine learning. We showcase BEFANA through a concrete example of a detrital soil food web of one agricultural grassland, and demonstrate all of its main components and functionalities.
Biodiversity
Ecology
Ecosystem
Food web
Graph theory
Soil ecology
Machine learning
Open-source software
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/544441
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