Rupert Seidl

Technische Universität München (TUM)

Arcisstrasse 21

Munich, DE 80333

Germany

  • Technische Universität München (TUM)

SCHOLARLY PAPERS

2

DOWNLOADS

295

TOTAL CITATIONS

6

Scholarly Papers (2)

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1.

Assessing the Economic Resilience of Different Management Systems to Severe Forest Disturbance

Journal of Environmental and Resource Economics
Number of pages: 54 Posted: 14 May 2021 Last Revised: 07 Sep 2022
Thomas Knoke, Carola Paul, Elizabeth Gosling, Isabelle Jarisch, Johannes Mohr and Rupert Seidl
Technische Universität München (TUM), University of Göttingen, Technische Universität München (TUM), Technische Universität München (TUM), Technische Universität München (TUM) and Technische Universität München (TUM)
Downloads 207 (317,986)
Citation 4

Abstract:

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Disturbance economics, engineering resilience, present value, willingness to pay for forestland, forest value, continuous cover forestry, close to nature forestry, tree mortality

2.

Parameters of 150 Temperate and Boreal Tree Species for an Individual-Based Forest Landscape and Disturbance Model

Number of pages: 22 Posted: 18 May 2024
Dominik Thom, Werner Rammer, Katharina Albrich, Kristin H. Braziunas, Laura Dobor, Christina Dollinger, Winslow D. Hansen, Brian J. Harvey, Tomas Hlásny, Tyler J. Hoecker, Juha Honkaniemi, William S. Keeton, Yuta Kobayashi, Sofia Saenz Kruszka, Akira S. Mori, Jenna E. Morris, Stephen Peters-Collaer, Zak Ratajczak, Trond Simensen, Ilié Storms, Kureha F. Suzuki, Anthony Taylor, Monica G. Turner, Susan Willis and Rupert Seidl
affiliation not provided to SSRN, affiliation not provided to SSRN, Natural Resources Institute Finland, affiliation not provided to SSRN, Czech University of Life Sciences Prague (CULS), affiliation not provided to SSRN, Cary Institute of Ecosystem Studies, University of Washington, Czech University of Life Sciences Prague (CULS), affiliation not provided to SSRN, Natural Resources Institute Finland, University of Vermont - Rubenstein School of Environment and Natural Resources, Tokyo University of Agriculture and Technology, University of Washington, Tokyo University of Agriculture and Technology, University of Washington, University of Vermont, Kansas State University, Norwegian Institute for Nature Research, KU Leuven, Tokyo University of Agriculture and Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Technische Universität München (TUM)
Downloads 88 (628,310)
Citation 2

Abstract:

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iLand, simulation modeling, species parameters, wind parameters