Faster, better, smarter ecological niche modeling and species distribution modeling

Simple layers for species distribution modeling and bioclimatic data

Work with species distributions in Julia

📦 🌎 ⛰️ ☀️ ☁️ 🌱 Get climatic and other environmental variables

🌳 🌍 📓 Code and data for Tagliari et al. 2021, Not all species will migrate poleward as the climate warms: the case of the seven baobab species in Madagascar. Global Change Biology.

Generates null models for species occurrence data

ABMI amphibian species models

Rossman R., Yackulic C., Saunders S.P., Reid J., Davis R., and Zipkin E.F. 2016. Dynamic N-occupancy models: estimating demographic rates and local abundances from detection-nondetection data. Ecology. 97: 3300-3307.

All-in-one model based custom predictions

ABMI mammal species density estimation and habitat modeling

Science Centre Development Website

Sipe H, IN Keren, and SJ Converse. 2023. Integrating community science and agency-collected monitoring data to expand monitoring capacity at large spatial scales. Ecology and Evolution.

SDM based on the land facet layer.

Alberta bird models using ABMI+BAM+BBS data

Application of Taylor Diagrams to Ecological Niche Models/Species Distribution Models

A SDM pipeline implemented in R with {targets}

The script provides a guideline to prepare data for the estimation of distribution range, create and download NDVI data, generate environmental variables from Digital Elevation Models, NDVI datasets and Climate-EU model, calculate landscape metrics for a species’ habitat using binary habitat maps, conduct LASSO and Elastic Net and run GLMs.