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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.

Geo-Wiki provides anyone with the means to engage in monitoring of the earth's surface by classifying satellite, drone or ground-level imagery. Data can be input via desktop or mobile devices, with campaigns and games used to incentivize input. These innovative techniques have been used to successfully integrate citizen-derived data sources with expert and authoritative data to address pressing policy-related questions (e.g. European environmental policy, SDG indicators and more).

In the IIASA Strategic Initiative fairSTREAM, we created 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. The TRUST Strategic Initiative, will expand this toolkit, highlighting its evolving nature.

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.

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.

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

The ibis.iSDM package provides a series of convenience functions to fit integrated Species Distribution Models (iSDMs). With integrated models we generally refer to SDMs that incorporate information from different biodiversity datasets, external parameters such as priors or offsets with respect to certain variables and regions.

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

A regional to global model designed to simulate and predict the dynamics of water quantity and quality under the influence of various drivers including; climate change, land-use transitions, socio-economic developments, and policy interventions. 

The SIIA framework combines principles from technology assessment ("Technikfolgenabschätzung") with process and systems engineering across all life cycle stages. Its core focus is on the integration of processes, systems, and sectors; the role of storages, batteries, and securities in temporal integration; and the interaction of networks, grids, infrastructure and trade routes for spatial integration.

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.

While the full model is under review and development, this is an abbreviated description of its main purpose, components, assumptions, and variables, but without some details and equations.

We provide a global spatially explicit characterization of terrestrial and marine habitat types, as defined in the International Union for Conservation of Nature (IUCN) habitat classification scheme, which is widely used in ecological analyses, including for assessing species’ Area of Habitat. The maps broaden our understanding of habitats globally, assist in constructing area of habitat (AOH) refinements and are relevant for broad-scale ecological studies and future IUCN Red List assessments.

Guidebook for designing and running in-person workshops.

The Alpine Resilience Atlas combines IIASA’s FLAM wildfire projections with Alpine forest data and other hazard information to identify areas of compound climate and forest vulnerability.

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 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.