Species Distribution Modelling using MaxEnt

Open-source Tools & Real-world Data Applications

Batch II has been launched exclusively due to overwhelming demand from Batch I.

Dates: 22-23 Aug 2026 & 29-30 Aug 2026

Time: 7:30 PM - 9:30 PM (IST) | Saturday and Sunday

Mode: Online (via Zoom)

Instructor: Dr. SK Vazeed Pasha, Research Scientist | BRICS Young Scientist, National Institute of Advanced Studies (NIAS), IISc Campus, Bengaluru

Limited seats available – Register before 20th Aug 2026

Learn to build species distribution models using Maxent, GBIF, CHELSA, and QGIS with real-world data

Batch II

Master Species Distribution Modelling using MaxEnt

Using Open-source Tools & Real-world Data Applications

Software & Data Sources You Will Learn

MaxEnt (Open-source Species Distribution Modelling Software)
QGIS (Spatial analysis and visualization)
GBIF (Global Biodiversity Information Facility) – Species occurrence records
CHELSA Climate Database – High-resolution environmental and climatic variables

Course Highlights

Introduction to Species Distribution Modelling
Species Occurrence Data Acquisition & Preparation
Environmental Variables for SDM
MaxEnt Species Distribution Modelling
Model Evaluation & Ecological Interpretation
Habitat Suitability Mapping & GIS Visualization

FAQs

Is coding required?

No coding skills are needed; the workshop is beginner-friendly.

How is the workshop delivered?

The sessions are fully online, live, with recordings available afterward.

What prerequisites do I need?

Basic understanding of ecology or GIS helps but is not mandatory for joining.

Will I get a certificate?

Yes, all participants receive a certificate upon completing the workshop.

Are real datasets used?

Absolutely, hands-on training uses real-world species and climate data.

Is post-workshop support available?

Yes, participants get ongoing support to apply skills after the workshop.

Learning Outcome

Independently perform Species Distribution Modelling using MaxEnt
Acquire and prepare biodiversity datasets from global repositories
Process environmental variables for ecological modelling
Build, calibrate, and evaluate MaxEnt models
Assess model performance using AUC, ROC curves, and Jackknife analysis
Generate professional-quality habitat suitability maps
Interpret ecological modelling outputs for biodiversity conservation and climate change studies
Apply Species Distribution Modelling techniques in research, dissertations, environmental consulting, and conservation planning