Sunny Armando, Marmolejo Clere, Vidal-López Rodrigo, Falconi-Briones Fredy A, Cuervo-Robayo Ángela P, Bolom-Huet René
Centro de Investigación en Ciencias Biológicas Aplicadas, Facultad de Ciencias, Universidad Autónoma del Estado de México, Toluca, Estado de México, Mexico.
Centro de Innovación Digital "Mandra" Laboratorio Nacional de Enseñanza e Innovación aplicando Cómputo de Alto Rendimiento (EICAR), CONAHCyT, Universidad Autónoma del Estado de México, Toluca, Estado de México, Mexico.
PeerJ. 2025 Mar 28;13:e19136. doi: 10.7717/peerj.19136. eCollection 2025.
EcoNicheS (https://github.com/armandosunny/EcoNicheS) is a comprehensive R package built on a Shiny dashboard that offers an intuitive and streamlined workflow for creating ecological niche models (ENMs) and landscape connectivity models. It incorporates tools for niche modeling, overlap analysis, and connectivity modeling, leveraging robust algorithms from the biomod2 suite. EcoNicheS is designed to simplify the technical complexities of ENMs, bridging the gap between advanced modeling techniques and user accessibility. The package offers an interactive interface for streamlined data input, model parameterization, and result visualization. Its comprehensive toolset includes occurrence data processing, pseudoabsence point generation, urbanization filters, and ecological connectivity modeling, distinguishing it from other platforms. EcoNicheS integrates innovative workflows with dynamic output visualizations while emphasizing reproducibility and comparability across statistical methods. Its practical applications span diverse research fields, including biogeography, epidemiology, evolutionary studies, climate change impacts, landscape connectivity, and biodiversity conservation. This versatility makes EcoNicheS a valuable resource for advancing in ecological and conservation science.