InVEST®: models that map and value the goods and services from nature that sustain and fulfill human life.

A suite of geospatial software tools and apps for socioeconomic and environmental analysis on coupled human-natural systems (CHANS) from local to global scales

Object-Oriented distance-independent Individual Tree Simulator (TreeSim)

A 3D hydrodynamical model of Lake Michigan for simulating the time-varying release of a tracer

Evaluation of urban greening for heat mitigation in Lausanne

🌿This is a repository for mapping Cultural Ecosystem Service flows from social media imagery with the Vision–Language Model CLIP.

Green National Accounts for Denmark: Pollution of water ecosystem services

Rise coin Payment platform with backoffice software.

Planning Nature-based Solutions (Plans2) is a modelling framework for planning the expansion of nature-based solutions in watersheds.

Open and reproducible R workflow for collecting, organizing and classifying geolocated images related to cultural ecosystem services.

Test the benefits and costs of proactively preparing for climate change-driven species shifts.

An ecosystem housing different applications and services under Quickly.

Code, data, and results for Dade et al. (2024) Testing a rapid assessment approach for estimating ecosystem service capacity in urban green alleys. Manuscript published at Urban Forestry & Urban Greening.

Data and code of Teixeira, Bauer et al. (2023) Basic Appl Ecol

Code, data and resources for "Trade-Offs and Management Strategies for Ecosystem Services in Mixed Scots Pine and Maritime Pine Forests"

An R package that turns dung beetle activity into dollars, estimating the annual economic benefit of dung beetles to cattle ranchers from empirical pat-decay data. It also rescales decay rates to any location's climate using WorldClim bioclim variables, so the economics reflect local conditions rather than just Central Florida.

MOOC project from the University of Geneva

This study analyzes park cooling in Berlin using modeled land surface temperature data and buffer-based cooling indices. A Random Forest model is trained on 152 urban green spaces to identify key structural, vegetative, and land-use drivers of cooling. Model interpretability is assessed using PFI, SHAP, and PDP.

Replication data for the manuscript 'Conserving the Cerrado and Amazon biomes of Brazil protects the soy economy from damaging warming'

Workflow for i-Tree Eco data preparation and extrapolation of i-Tree Eco results to the complete tree extent in the study area.