intSDM

intSDM builds reproducible workflows for integrating different types of biodiversity data into species distribution models.

Key Features:

• Data integration: Integrates presence-absence, counts, and presence-only citizen science data into species distribution models.
• GBIF data compatibility: Accommodates diverse user needs with different data types available on the Global Biodiversity Information Facility (GBIF).
• Reproducible workflow generation: Generates reproducible workflows using open-source tools to increase the power of data inference in species distribution models.
• Climate data integration: Integrates climate data alongside species occurrence data in modeling workflows.

Scientific Applications:

• Species distribution modeling: Estimates current and future ranges of species for ecology and conservation prioritization decisions.
• Large-scale biodiversity threat assessment: Addresses large-scale threats to biodiversity through model-based integration of multiple data types.
• Vascular plant distribution mapping: Demonstrated through case study creating species distribution models for vascular plants in Norway by integrating presence-only and presence-absence species occurrence data with climate data.

Methodology:

Methods for integrating different data types in a model-based framework; reproducible workflow implemented as an R package.