Biophysical modeling is the simulation of biological systems using mathematical formalizations of the physical properties of the systems. Such models are used to predict and project the influence of biological and physical factors on complex systems and form the basis for any detailed spatially explicit and integrated land use modeling at all scales. Forest and agricultural ecosystems represent a large majority of global land use and hence need particular attention by science which traditionally has been addressed by IIASA’s Ecosystem Services and Management Program (ESM). Over more than a decade, three back-bone models have been developed: a biophysical Global Forestry Model (G4M), a process-based global agricultural model (EPIC), and a techno-economic engineering model for the assessment of renewable energy systems (BeWhere) which is relying to a large extent on information provided by the other two models. ESM’s Center of Landscape Resilience & Management (CLR) is developing and applying this suit of models in a stand-alone or linked cluster to improve risk-resilient and sustainable management of land-based ecosystems by generating impact through policy-relevant research at multiple geographic scales. The center focuses on land-use by forestry, agriculture, the renewable energy sector and the management of other natural ecosystems at landscape level while expanding the
Researchers, scientists and experts from both sides will participate in the joint research project. IIASA will contribute its expertise on modelling while ITB makes their research Indonesia-specific. More
A new report from researchers from IIASA, Luleå University of Technology (LTU), and RISE Research Institutes of Sweden has shown that more biorefineries, which produce biobased fuels and chemicals, will have only a small effect on the availability and pricing of wood products and feedstocks. More
The Association for Forest Spatial Analysis Technologies (ForestSAT) is holding its eighth meeting to provide a forum fo... More
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Last edited: 16 October 2018
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