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A model for studying the ecology and evolution of plant communities

A tool for exploratory statistical analysis on land use data.

A software tool to to aggregate several probability distributions into a single integrated one.

Assessing management impacts on the BioGeoChemistry of ecosystems

The IIASA/ESM based BGC-MAN model was calibrated and validated with TrEco data for the dominant ecosystems and land use forms of the Congo basin, including virgin forests, managed forests, forest fallows after shifting cultivation and savannahs.

A tool to assess temporal verification of net greenhouse gas emission changes under the Kyoto Protocol.

A dataset to understand near-term emissions mitigation and adaptation efforts

A set of global zoning layers are provided that identify broad homologues of foodscape classes. These are comparable in a minimum set of biophysical and management characteristics and can help to plan for possible interventions and leverage points for more sustainable agriculture.

SHELscape is a spatially-explicit agent-based model for understanding short-run post-natural disasters non-linear adjustment processes in a multi-market framework.

Welcome to the world of PlantFATE, a novel eco-evolutionary vegetation model designed to unravel the intricate dynamics of forests and their response to environmental change. PlantFATE stands as a powerful tool to guide conservation efforts, inform policy decisions, and foster a deeper appreciation for the wonders of nature. Embark on a journey through the intricate tapestry of forest resilience with PlantFATE as your guide.

A system dynamics model of social, economic, and environmental earth systems and their interdependencies.

An open source model to examine how future water demand will evolve in response to socioeconomic change and how water availability will change in response to climate.

The BinD model is a new generation dynamic disaster-macroeconomic modeling framework that captures supply and demand-side constraints on a developing economy facing disaster risk.

A model to reproduce historical wildfire events and to project future burned areas, as well as to assess climate change impacts and adaptation options.

Stochastic Quasi-Gradient (SQG) methods have been developed for solving general optimization problems without exact calculation of objective function and constraints (let alone of their derivatives). SQG methods enable a sequential revision of approximate solutions towards the optimal using newly acquired information on the system, obtained via either direct on-line observations or(and) simulations. 

The framework for eco-genetic modeling offers flexible tools for exploring the course and rates of multi-trait life-history evolution in natural populations.

The Working Group on Fisheries-Induced Evolution (WGEVO) of the International Council for the Exploration of the Sea (ICES) has developed a general framework for investigating eco-evolutionary changes in fish stocks and their utilities in terms of ecosystem services and for assessing the management implications of fisheries-induced evolution through Evolutionary Impact Assessments (EvoIAs).

The complexity and dynamical nature of community interactions make modelling a useful tool for understanding how biodiversity patterns in communities develop over time and how they respond to external perturbations.

Ensuring that common goods and open-access resources—everything from clean air and the global climate to the internet and civil security—are equitably and fairly available to everyone requires incentive mechanisms.

Despite modern medical interventions, infectious diseases continue to generate huge socio-economic losses.