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IIASA Postdoctoral Research Scholar Capacity Development and Academic Training
Evolution and Ecology
Ecosystems Services and Management
+43(0) 2236 807 544
Florian Hofhansl joined IIASA in 2018 as a Postdoctoral Research Scholar, contributing to model development within the IIASA Dynamic Vegetation Models project within the Ecosystems Services and Management (ESM) as well as Evolution and Ecology (EEP) programs.
Prior to joining IIASA, Dr. Hofhansl received his academic education from the University of Vienna (PhD) as well as the National Institute of Amazonian Research (Postdoc).
The goal of Dr. Hofhansl’s research is to obtain a better understanding on how plant functional traits vary and influence ecosystem processes in tropical forests, and to use the results to improve models. The project will bridge model-based and empirical research and results generated will be used to improve, test and calibrate forest models applied in the ESM and EEP programs as well as the RESTORE+ project.
Read more about Dr. Hofhansl’s research here.
Last update: 14-JAN-2019
Hofhansl F , Chacón-Madrigal E, Fuchslueger L, Jenking D, Morera-Beita A, Plutzar C, Silla F, Andersen KM, et al. (2020). Climatic and edaphic controls over tropical forest diversity and vegetation carbon storage. Scientific Reports 10: e5066. DOI:10.1038/s41598-020-61868-5.
Hofhansl F , Chacon-Madrigal E, Brännström Å, Dieckmann U , & Franklin O (2019). Partitioning of plant functional trait variation into phenotypic plasticity and neutral components reveals functional differences among neotropical tree species. In: AGU Fall Meeting, 9-13 December 2019, San Francisco, USA.
Krasovskii A , Hu X, Yowargana P, Schepaschenko D , & Hofhansl F (2019). Modeling wildfire dynamics using FLAM coupled with deep learning methods. In: AGU Fall Meeting, 9-13 December 2019, San Francisco, USA.
Schepaschenko D , Chave J, Phillips OL, Lewis SL, Davies SJ, Réjou-Méchain M, Sist P, Scipal K, et al. (2019). The Forest Observation System, building a global reference dataset for remote sensing of forest biomass. Scientific Data 6 (1): e198. DOI:10.1038/s41597-019-0196-1.
Fleischer K, Rammig A, De Kauwe MG, Walker AP, Domingues TF, Fuchslueger L, Garcia S, Goll DS, et al. (2019). Amazon forest response to CO2 fertilization dependent on plant phosphorus acquisition. Nature Geoscience 12: 736-741. DOI:10.1038/s41561-019-0404-9.
Fuchslueger L, Wild B, Mooshammer M, Takriti M, Kienzl S, Knoltsch A, Hofhansl F , Bahn M, et al. (2019). Microbial carbon and nitrogen cycling responses to drought and temperature in differently managed mountain grasslands. Soil Biology and Biochemistry 135: 144-153. DOI:10.1016/j.soilbio.2019.05.002.
Prommer J, Walker T, Wanek W, Braun J, Zezula D, Hu Y, Hofhansl F , & Richter A (2019). Increased microbial growth, biomass and turnover drive soil organic carbon accumulation at higher plant diversity. Global Change Biology DOI:10.1111/gcb.14777. (In Press)
Rabl D, Gottsberger B, Brehm G, Hofhansl F , & Fiedler K (2019). Moth assemblages in Costa Rica rain forest mirror small-scale topographic heterogeneity. Biotropica DOI:10.1111/btp.12677.
Hofhansl F , Chacón-Madrigal E, Brännström Å, Dieckmann U , & Franklin O (2019). The role of phenotypic plasticity for plant functional traits in tropical forests. In: European Geosciences Union (EGU) General Assembly 2019, 7–12 April 2019, Vienna, Austria.
Morera-Beita A, Sánchez D, Wanek W, Hofhansl F , Werner H, Chacón-Madrigal E, Montero-Muñoz JL, & Silla F (2019). Beta diversity and oligarchic dominance in the tropical forests of Southern Costa Rica. Biotropica 51 (2): 117-128. DOI:10.1111/btp.12638.
Pereira I, do Nascimento H, Vicari M, Disney M, DeLucia E, Domingues T, Kruijt B, Lapola D, et al. (2019). Performance of Laser-Based Electronic Devices for Structural Analysis of Amazonian Terra-Firme Forests. Remote Sensing 11 (5): e510. DOI:10.3390/rs11050510.
Hofhansl F , Chacon-Madrigal E, Morera A, Silla F, Huber W, Weissenhofer A, & Wanek W (2019). Diversity and composition of tropical forest plant communities in the Golfo Dulce region. In: Acta ZooBot Austria. pp. 31-46 Vienna, Austria: Zoologisch-Botanische Gesellschaft in Osterreich. ISBN 978-3-901294-19-8
Pereira IS, do Nascimento HEM, Vicari MB, Disney M, DeLucia EH, Domingues T, Kruijt B, Lapola D, et al. (2019). Performance of laser-based electronic devices for structural analysis of Amazonian Terra-Firme forest. In: 56th Annual conference meeting of the Association for Tropical Biology and Conservation, July 30-August 03, 2019.
Rammig A, Heinke J, Hofhansl F , Verbeeck H, Baker TR, Christoffersen B, Ciais P, De Deurwaerder H, et al. (2018). A generic pixel-to-point comparison for simulated large-scale ecosystem properties and ground-based observations: an example from the Amazon region. Geoscientific Model Development 11 (12): 5203-5215. DOI:10.5194/gmd-11-5203-2018.
Moser D, Lezner B, Weigelt P, Dawson W, Kreft H, Pergl J, Pysek P, van Kleunen M, et al. (2018). Remoteness promotes biological invasions on islands worldwide. Proceedings of the National Academy of Sciences 115 (37): 9270- 9275. DOI:10.1073/pnas.1804179115.
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