Profile

Dr. Nadja Rüger

Dr. Nadja Rüger

Research Fellow

Biodiversitätsökonomik
iDiv BioDivForschg Lpz
Puschstraße 4, Room B.03.17
04103 Leipzig

Phone: +49 341 97 - 33168

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Dr. Nadja Rüger

Dr. Nadja Rüger

Research Fellow

iDiv Senior Scientist Programm
iDiv BioDivForschg Lpz
Puschstraße 4
04103 Leipzig

Abstract

Nadja Rüger is a Senior Scientist at the German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig. She studied and received her doctorate in Applied Systems Science at the University of Osnabrück before working as a scientist at the UFZ, TU Dresden and the University of Leipzig. From 2017 to 2020, she led the Computational Forest Ecology research group at iDiv.


She uses forest models to develop a better understanding of the dynamics, climate sensitivity and optimal use of species-rich mixed forests, often in collaboration with economists, forest scientists and ecologists.

Professional career

  • since 10/2020
    Senior Scientist, German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
  • 12/2006 - 09/2008
    PostDoc, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Department Ecological Modelling
  • 10/2008 - 03/2010
    PostDoc, TU Dresden, Department of Forest Biometrics and Systems Analysis
  • 09/2010 - 09/2020
    Scientist, "DFG Own position", Universität Leipzig and German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig
  • 09/2017 - 09/2020
    Junior Research Group Leader, “Computational Forest Ecology”, German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig

Education

  • 01/2003 - 11/2006
    PhD in Applied Systems Science, UFZ and Universität Osnabrück

  • Joswig, J. S.; Kattge, J.; Kraemer, G. F. S.; Mahecha, M. D.; Rüger, N.; Schaepman, M. E.; Schrodt, F.; Schuman, M.
    Imputing missing data in plant traits: A guide to improve gap-filling
    Global Ecology and Biogeography. 2023.
    DOI: doi.org/10.1111/geb.13695
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  • Diaz, S.; Kattge, J.; Cornelissen, J. H. C. et al.
    The global spectrum of plant form and function: enhanced species-level trait dataset
    Scientific Data. 2022.
    DOI: 10.1038/s41597-022-01774-9
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  • Kambach, S.; Condit, R.; Aguilar, S. et al.
    Consistency of demographic trade-offs across 13 (sub)tropical forests
    The journal of ecology. 2022. 110 (7). pp. 1485–1496.
    DOI: 10.1111/1365-2745.13901
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  • Joswig, J. S.; Wirth, C.; Schuman, M. et al.
    Climatic and soil factors explain the two-dimensional spectrum of global plant trait variation
    Nature Ecology & Evolution . 2022. pp. 36–50.
    DOI: https://doi.org/10.1038/s41559-021-01616-8
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  • Compagnoni, A.; Levin, S.; Childs, D. Z.; Harpole, S.; Paniw, M.; Romer, G.; Burns, J. H.; Che-Castaldo, J.; Rüger, N.; Kunstler, G.; Bennett, J. M.; Archer, C. R.; Jones, O. R.; Salguero-Gomez, R.; Knight, T. M.
    Herbaceous perennial plants with short generation time have stronger responses to climate anomalies than those with longer generation time
    Nature Communications. 2021. 12 (1).
    DOI: 10.1038/s41467-021-21977-9
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