Building on the research previously undertaken in the Ecosystems Services and Management and Water programs, the BNR Program fully exploits the potential for biodiversity research within integrated system analysis.
The program brings together different elements of land and aquatic ecosystems including agriculture, forests, and fisheries with water and the marine environment to inform global and regional policy assessments and provide robust science-based knowledge and foresight. The program aims to establish IIASA as an international community hub for biosphere research through innovative tool development; to lead the integration of biophysical-economic modeling with governance; to engage with stakeholders; and to facilitate community driven efforts. It provides policymaking support through core program and group research undertaken in the four BNR research groups.
BNR further engages in bilateral collaborations with other research programs and groups at the institute on key cross-cutting themes such as climate change adaptation and mitigation, the green economy, resilient food systems, transboundary governance, resource depletion and migration, and digital transformation.
News
10 May 2022
IIASA recognizes outstanding research contributions
IIASA recently instituted a new system of awards to recognize outstanding contributions towards meeting the strategic priorities and values of the institute. We are proud to announce that five IIASA research activities have been recognized in the inaugural 2022 award cycle.
06 April 2022
New IPCC Report: we can halve emissions by 2030
Between 2010 and 2019, average annual global greenhouse gas emissions were at their highest levels in human history, but the rate of growth has slowed. Without immediate and deep emissions reductions across all sectors, limiting global warming to 1.5°C is beyond reach. However, there is increasing evidence of the success of climate action, said scientists in the latest Intergovernmental Panel on Climate Change (IPCC) report.
Projects
CO-development of Methods to utilize uncertain multi-model based Information on freshwater-related hazards of Climate Change (CO-MICC)
Advancing WFaS East Africa: Scaling out resilient water and agricultural systems (scaleWAYS)
Growth and Fiscal Analysis of Risk Layering Strategies (GFRList)
The World Bank ECA Regional Water Security Initiative: Development of an Assessment and Preparation of Diagnostic Reports
Models
A model estimating forest growth, stock, harvest amount and comparing incomes from forestry and alternative land uses on a global scale.
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.
Focus
26 January 2022
Integrated solutions for biodiversity
Policy Brief #33, January 2022. Action on biodiversity loss can be much more effective if it embraces other global challenges.
29 November 2021
An analysis of forest management in the Republic of Korea
Options Winter 2021: While urbanization is a common cause of biodiversity decline, the Republic of Korea has managed to maintain its biodiversity during its rapid economic development. IIASA researcher Florian Kraxner and colleagues analyzed the persistence of plants in the country and constructed future scenarios to better prepare for the pressures of climate change.
Events
19 May 2022 IIASA
IIASA-PEER workshop on Climate Information Services for Society
24 May 2022 Virtual event -Zoom
IIASA Climate Migration Policy Simulation
05 May 2022 IIASA
Data Visualization Workshop
11 April 2022 Israel
CWAtM Training Workshop in Israel
Publications
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.
Guivarch, C., Le Gallic, T., Bauer, N., Fragkos, P., Huppmann, D. , Jaxa-Rozen, M., Keppo, I., Kriegler, E., Krisztin, T. , Marangoni, G., Pye, S., Riahi, K. , Schaeffer, R., Tavoni, M., Trutnevyte, E., van Vuuren, D., & Wagner, F. (2022). Using large ensembles of climate change mitigation scenarios for robust insights. Nature Climate Change 10.1038/s41558-022-01349-x.
Crespo, D., Albiac Murillo, J., Dinar, A., Esteban, E., & Kahil, T. (2022). Integrating ecosystem benefits for sustainable water allocation in hydroeconomic modeling. PLoS ONE 17 (5) e0267439. 10.1371/journal.pone.0267439.
Liu, X., Liu, W., Tang, Q., Liu, B., Wada, Y. , & Yang, H. (2022). Global Agricultural Water Scarcity Assessment Incorporating Blue and Green Water Availability Under Future Climate Change. Earth's Future 10 (4) 10.1029/2021EF002567.