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
Russian Forests and Forestry Database
Wildfire climate impacts and adaptation model (FLAM)
Global Forest Model (G4M)
The Environmental Policy Integrated Climate-based global gridded crop model (EPIC-IIASA)
Projects
Land Management for Sustainability (LAMASUS)
Integrated Future Wildfire Hot Spot Mapping for Austria (Austria Fire Futures )
The Human-Tech Nexus - Building a Safe Haven to Cope with Climate Extremes (HuT)
RESTORE+: Addressing Landscape Restoration on Degraded Land in Indonesia and Brazil
Staff
Donghyun Kim
Research Scholar (AFE)
Hyun-Woo Jo
Guest Korea University Postdoctoral Fellow (AFE, CDAT)
Eunbeen Park
Guest Korea Research Foundation Postdoctoral Fellow (AFE, CDAT)
Johanna San Pedro
Researcher (AFE)
News
23 April 2024
FLAM Goes EGU: Exploring Wildfire Research in 2024
The annual European Geosciences Union (EGU) General Assembly took place from April 14-19, 2024, in Vienna. The FLAM Team participated significantly as conveners, oral presenters, and poster exhibitors in various sessions.
22 April 2024
New article on FIRE: Anticipating Future Risks of Climate-Driven Wildfires in Boreal Forests
Wildfires are a growing threat to the boreal north, especially under the rapidly changing climate. IIASA researchers modeled and analyzed how climate change may impact future burned area in boreal forests and highlighted the importance of mitigation and adaptation strategies to reduce climate-fueled impacts on wildfires.
29 March 2024
The future of Ukrainian forests: setting priorities for action
A new report, outlining the key priorities and recommended actions for the Ukrainian forest sector, was launched earlier this week. The report summarizes the key recommendations and takeaways from the Forum on Ukraine Forest Science and Education: Needs and Priorities for Collaboration, organized by IIASA and partners in November 2023.
Events
Gvishiani Room, IIASA, Laxenburg, Austria
Korea University-IIASA symposium: Towards integrated approaches for modeling ecosystem material cycles and climate crisis-related disturbances
Vienna, Austria and online
IIASA at EGU 2024
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
Ukraine’s forest sector is suffering unprecedented challenges. War has impacted both forests and forestry – devastating forest areas, infrastructure and industry, as well as causing ‘brain drain’ and capacity loss due to the disruption of research institutions and the displacement of students and scientists. These impacts are compounded by factors including climate change, unstable forest health dynamics, landscape fires, and an overall decrease in forest productivity.
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.