Items where IIASA Author is "Malek, Ziga"

Article

Malek, Z., Boerboom, L. & Glade, T. (2015). Future forest cover change scenarios with implications for landslide risk: an example from Buzau Sucarpathians, Romania. Environmental Management 56 (5), 1228-1243. 10.1007/s00267-015-0577-y.

Malek, Z. & Boerboom, L. (2015). Participatory scenario development to address potential impacts of land use change: an example from the Italian Alps. Mountain Research and Development 35 (2), 126-138. 10.1659/MRD-JOURNAL-D-14-00082.1.

Malek, Z., Scolobig, A. & Schroeter, D. (2014). Understanding land cover changes in the Italian Alps and Romanian Carpathians combining remote sensing and stakeholder interviews. Land 3 (1), 52-73. 10.3390/land3010052.

Book Section

Malek, Z. (2017). Fuzzy-Logic Cognitive Mapping: Introduction and Overview of the Method. In: Environmental Modeling with Stakeholders. Eds. Gray, S., Paolisso, M., Jordan, R. & Gray, S., pp. 127-143 Cham, Switzerland: Springer International Publishing. ISBN 978-3-319-25053-3 10.1007/978-3-319-25053-3_7.

Malek, Z., Zumpano, V., Schroeter, D., Glade, T., Balteanu, D. & Micu, M. (2015). Scenarios of land cover change and landslide susceptibility: an example from Buzau Subcarpathians, Romania. In: Engineering Geology for Society and Territory - Volume 5. Eds. (Eds.), G. Lollino et.al., Cham: Springer International Publishing. ISBN 978-3-319-09047-4 10.1007/978-3-319-09048-1_144.

Conference or Workshop Item

Malek, Z. (2012). Effects of global changes on mountain land use patterns and ecosystem services in a comparative case study: Italian Alps and Romanian Carpathians. In: Worlds Within Reach: From Science To Policy - IIASA 40th Anniversary Conference, 24-26 October 2012, Hofburg Congress Center, Vienna and IIASA, Laxenburg, Austria.

Data

Lesiv, M. ORCID: https://orcid.org/0000-0001-9846-3342, Bayas, J.C.L., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Duerauer, M., Dahlia, D., Durando, N., Hazarika, R., Sahariah, P.K., Vakolyuk, M., Blyshchyk, V. et al. (2018). Estimating the Global Distribution of Field Size using Crowdsourcing.