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Several data collection activities related to forest cover, forest biomass and forest management have been coordinated by IIASA’s NoDES group in the past

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.

In the IIASA Strategic Initiative fairSTREAM, we create a toolkit of participatory methods that can be adapted to facilitate co-production of knowledge. Co-produced knowledge integrates diverse scientific and social discourses to create relevant and legitimate opportunities in the context of complex problems.  

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

Spatial layers of global importance highlighting the upper potential value of conserving biodiversity, carbon and water assets under different area-based conservation targets.

Scenarios as a decision-making tool help us to better understand the implications of a wide range of future possibilities considering existing development, strategies, and global interdependencies. Scenarios should be co-produced with their users, most often planner and decision makers.

New tool to inform the design of cost-effective and sustainable water policy decisions

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.

A general equilibrium model to assess China’s agricultural prospects and challenges up to 2030, covering national, regional and county level.

Water quality modeling for water availability/scarcity assessment, water-energy-land-environment nexus analysis and identification of cost-effective solutions under long-term changes.

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.

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 linkage algorithms solve the problem of linking models, e.g. sectorial and/or regional, into an inter-sectorial inter-regional integrated model. Linkage enables to avoid “hard linking” of models in a single code, which saves the programming time and enables parallel distributed computations of individual models instead of a large scale integrated model. Models linkage preserves the structure of the original models taking into account critically important details, which are usually missing in aggregate models.

The GROW Observatory app is a service stemming from the GROW Observatory project, a European Citizen Science project on growing food, soil moisture sensing and land monitoring that ran from 2016-2019.

The Land Cover Validation Platform (LACO-Wiki) is an online land cover and land use validation tool that simplifies the process of validating remotely sensed map products

A system integration of ground and remote sensing data that parametrizes Russian territory at a 1km spatial resolution for forests and includes tree species, age, and biomass distribution.

A model that optimizes the allocation of renewable energy systems from the local, regional, national or European level.

A model estimating forest growth, stock, harvest amount and comparing incomes from forestry and alternative land uses on a global scale.