The focus of the AFE Group is to generate knowledge and develop state-of-the-art modeling tools to advance the scientific community and support policies that enable better understanding and management of global and regional agriculture, forestry, and natural land ecosystems.
The basis for improved assessment and management of natural resources is a deep understanding of complex and interacting biophysical processes within terrestrial ecosystems. The AFE Group aims to achieve a leading position in addressing research questions requiring integrated analyses of agriculture, forestry, and natural land ecosystems at global and regional levels.
The group’s strategic ambition of biophysical tool integration for, among others, the assessment of nature-based/climate solutions, landscape restoration options, agro-forestry, or future cropland management, is at the core of the IIASA research domain on biodiversity and ecosystem services. With sustainability and biodiversity aspects as cross-cutting environmental safeguards, the group is closely aligned with the strategic direction of its host program on Biodiversity and Natural Resources. This structural and strategic setup will ensure that AFE becomes a valuable research pillar and contributor to the overarching IIASA strategy.
Models, tools, datasets
Projects
Staff
News
23 April 2024
FLAM Goes EGU: Exploring Wildfire Research in 2024
22 April 2024
New article on FIRE: Anticipating Future Risks of Climate-Driven Wildfires in Boreal Forests
29 March 2024
The future of Ukrainian forests: setting priorities for action
Events
Gvishiani Room, IIASA, Laxenburg, Austria
Korea University-IIASA symposium: Towards integrated approaches for modeling ecosystem material cycles and climate crisis-related disturbances
IIASA, Laxenburg, Austria and online
Forum on Ukraine Forest Science and Education: Needs and Priorities for Collaboration
Focus
09 April 2024
Forest science and education in Ukraine: Priorities for action
24 February 2022
The number of tree species on Earth
Since humans have walked this planet, we have loved categorizing things and ecology is no exception. One of the most basic ecological questions has always been the simple question of “how many?”
Publications
Kim, J., Jo, H.-W., Kim, W., Jeong, Y., Park, E., Lee, S., Kim, M., & Lee, W.-K. (2024). Application of the domain adaptation method using a phenological classification framework for the land-cover classification of North Korea. Ecological Informatics 81 e102576. 10.1016/j.ecoinf.2024.102576. Tiwari, S. & Singh, J.G. (2024). A cooperation based transactive energy management for networked energy hubs considering improved payoff allocation mechanism. Sustainable Energy Technologies and Assessments 65 e103777. 10.1016/j.seta.2024.103777. Tiwari, S., Singh, J.G., & Garg, A. (2024). A static robust energy management approach for modelling low emission multi-vectored energy hub including emission markets and power-to-gas units. Energy 294 e130827. 10.1016/j.energy.2024.130827. See, L. , Yashchun, O., Romanchuk, Z., Balkovič, J. , Skalský, R. , Malek, Z. , Shchepashchenko, D. , Deppermann, A., Krisztin, T. , & Havlik, P. (2024). Improving high-resolution spatial information on agricultural land use management in Europe for economic land use modelling and the assessment of policy impacts. DOI:10.5194/egusphere-egu24-5448. In: EGU General Assembly 2024, 14-19 April 2024, Vienna. Corning, S., Krasovskiy, A. , Kiparisov, P., San Pedro, J., Viana, C.M., & Kraxner, F. (2024). Anticipating Future Risks of Climate-Driven Wildfires in Boreal Forests. Fire 7 (4) e144. 10.3390/fire7040144. Huang, Y., Song, X., Wang, Y.-P., Canadell, J.G., Luo, Y., Ciais, P., Chen, A., Hong, S., Wang, Y., Tao, F., Li, W., Xu, Y., Mirzaeitalarposhti, R., Elbasiouny, H., Savin, I., Shchepashchenko, D. , Rossel, R., Goll, D., Chang, J. , Houlton, B., Wu, H., Yang, F., Feng, X., Chen, Y., Liu, Y., Niu, S., & Zhang, G.-L. (2024). Size, distribution, and vulnerability of the global soil inorganic carbon. Science 384 (6692) 233-239. 10.1126/science.adi7918.