Research models, tools, and data

Research models, tools, and data of the Integrated Biosphere Futures Research Group.


A global model to assess competition for land use between agriculture, bioenergy, and forestry. More

Probabilistic approach to address temporal verification of changes in global net carbon emissions under the Kyoto Protocol

This study proposes an approach which permits assessing net emission changes under the Kyoto Protocol, in particular with respect to atmospheric CO2 and CO2 emissions from fossil fuel burning, cement manufacture and gas flaring; whereby emission changes are characterized by uncertainty distributions in terms of verification times (VTs).  More

Stochastic Quasigradient (SQG) methods: Applications

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.  More

Consistent algorithm for linking distributed models under asymmetric information

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 More

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Last edited: 07 April 2021


Petr Havlik

Research Group Leader and Principal Research Scholar Integrated Biosphere Futures Research Group - Biodiversity and Natural Resources Program


Sperling, F., Havlik, P. , Denis, M., Valin, H. , Palazzo, A. , Gaupp, F., & Visconti, P. (2022). Toward resilient food systems after COVID-19. Current Research in Environmental Sustainability 4, e100110. 10.1016/j.crsust.2021.100110.

Escobar Lanzuela, N. , Bautista, I., Peña, N., Fenollosa, M.L., Osca, J.M., & Sanjuán, N. (2022). Life Cycle Thinking for the environmental and financial assessment of rice management systems in the Senegal River Valley. Journal of Environmental Management 310, e114722. 10.1016/j.jenvman.2022.114722.

Lesiv, M. , Shchepashchenko, D. , Buchhorn, M., See, L. , Dürauer, M., Georgieva, I., Jung, M., Hofhansl, F. , Schulze, K., Bilous, A., Blyshchyk, V., Mukhortova, L., Brenes, C., Krivobokov, L., Ntie, S., Tsogt, K., Pietsch, S. , Tikhonova, E., Kim, M., Di Fulvio, F. , Su, Y.-F., Zadorozhniuk, R., Sirbu, F., Panging, K., Bilous, S., Kovalevskii, S., Kraxner, F., Rabia, A.H., Vasylyshyn, R., Ahmed, R., Diachuk, P., Kovalevskyi, S., Bungnamei, K., Bordoloi, K., Churilov, A., Vasylyshyn, O., Sahariah, D., Tertyshnyi, A., Saikia, A., Malek, Å., Singha, K., Feshchenko, R., Prestele, R., Akhtar, I., Sharma, K., Domashovets, G., Spawn-Lee, S., Blyshchyk, O., Slyva, O., Ilkiv, M., Melnyk, O., Sliusarchuk, V., Karpuk, A., Terentiev, A., Bilous, V., Blyshchyk, K., Bilous, M., Bogovyk, N., Blyshchyk, I., Bartalev, S., Yatskov, M., Smets, B., Visconti, P., McCallum, I. , Obersteiner, M. , & Fritz, S. (2022). Global forest management data for 2015 at a 100 m resolution. Scientific Data 9 (1), e199. 10.1038/s41597-022-01332-3.

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