Train neural networks based on geographic species occurrences, environmental data and existing IUCN Red List assessments to predict the conservation status of "Not Evaluated" species, for any taxon or geographic region of interest. https://iucnn.github.io/IUCNN/

A repository with the data preparation and prioritzation code for the NatureMap analysis

Prioritize conservation projects for funding

Working towards a rapid version of the IUCN extinction risk assessment process

📦 R code and data associated with the paper of Leclerc et al. (2022) [https://doi.org/10.1111/ddi.13441]

This repository houses scripts to accompany Crawford et al. 2021 (Ecological Applications), in which we apply a range of biodiversity indices to an agricultural land-use prioritization model, using Zambia as a case study to investigate how variation in how biodiversity is represented affects the results of land-use prioritization analyses.

A standardized reporting protocol for systematic conservation planning applications

Biodiversity_based_EFHs contains R scripts to model, map, and analyze community-based Essential Fish Habitat (EFH) patterns in the western Mediterranean Sea. It includes workflows for HMSC-derived abundance trends, hotspot/coldspot detection, and overlap with marine protected areas, with reproducible figure-generation scripts for manuscript outputs

This repository contains a GIS-based decision support tool and related resources. The tool was developed in ArcGIS Pro and is designed to model Open Space Preservation opportunities to be implemented in FEMA's Community Rating System.

EDGE Score Simulations

Moving beyond species-based conservation planning by simulating the effect of diverse local conservation measures on the global preservation of biotic interaction networks.

Evaluating different approaches to integrate genome-wide genetic diversity in spatial conservation prioritization