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© Andreas Bolte
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Institute of

WO Forest Ecosystems

Dr. Marc Scherstjanoi


Institute of Forest Ecosystems

Alfred-Möller-Straße 1, Haus 41/42
16225 Eberswalde
Telephone
+49 3334 3820 335
Fax
+49 3334 3820 354
Telephone
+49 3334 3820 376
Fax
+49 3334 3820 354
Email
marc.scherstjanoi@thuenen.de

scientist


Fields of Expertise

Monitoring of Forests

  • Modelling of soil carbon and nitrogen on basis of BZE forest data
  • Analysis and further development of soil carbon models
  • Analysis of the influence of climate change and forest management on forest soils

 

Curriculum vitae

  • since 08.2020
     Scientific assistant at the Institute of Forest Ecosystems of the Johann Heinrich von Thünen Institute in Eberswalde, Main topic: Soil carbon modelling in forest ecosystems

  • 05.2019 – 07.2020
     Scientific assistant at the Johann Heinrich von Thünen Institute in Braunschweig, Institute of Climate-Smart Agriculture, CarboCheck project, Main topic: Soil carbon modelling in agricultural systems

  • 04.2015 – 12.2018
     Deputy managing director at A+W Wasserschloss AG Untersiggenthal (CH), Main topic: Landscaping

  • 10.2013 – 12.2014
     Postdoc / guest scientist at WSL Birmensdorf (CH), Dynamic Macroecology Group, Main topic: Coupling of a hydrological and a forest landscape model

  • 12.2008 – 07.2013
     Ph.D. student at WSL Birmensdorf (CH), Dynamic Macroecology Group, Main topic: Modelling forest carbon dynamics at regional scale, Title of thesis: "Towards an efficient plant physiology-based modeling of spatial forest dynamics"

  • 11.2006 – 09.2007
     Intern / undergraduate assistant at ETH Zürich, Forest Ecology Group, Main topic: Modelling of windthrow and bark beetle damage

  • 10.2002 – 07.2008
     Master (Dipl.) of Geoecology candidate, Potsdam University, Specialized in "Modelling in Hydrology and Geoecology", Title of thesis: "Importance of the disturbance regime for the carbon and water balance in Alpine valleys - Modelling with LPJ-GUESS"

Publications

  1. 0

    Omuto CT, Scherstjanoi M, Kader MA, Musana B, Barman A, Fantappie M, Jiménez LS, Jimenez WA, Figueredo H, Balta R, Santander K, Malatji A, Nahar A, Kairat A, Ahmadzai H, Morisson J, Stone S, Roopnarine R, Eudoxie G, Khat P, et al (2023) Harmonization service and global library of models to support country-driven global information on salt-affected soils. Sci Rep 13:13157, DOI:10.1038/s41598-023-40078-9

    https://literatur.thuenen.de/digbib_extern/dn067462.pdf

  2. 1

    Scherstjanoi M, Dechow R (2023) sorcering: Soil ORganic Carbon & CN Ratio drIven Nitrogen modellinG framework [Datenpublikation] [online]. 7 Directories, 1 PDF File. CRAN, zu finden in <https://cran.r-project.org/package=sorcering> [zitiert am 08.01.2024], DOI:10.3220/DATA20240105170154-0

  3. 2

    Scherstjanoi M, Grüneberg E, Wellbrock N (2021) pH-Werte deutscher Böden auf Wald- und Agrarflächen. Braunschweig: Johann Heinrich von Thünen-Institut, 6 p, Thünen à la carte 9, DOI:10.3220/CA1632825232000

    https://literatur.thuenen.de/digbib_extern/dn064047.pdf

  4. 3

    Scherstjanoi M, Dechow R (2021) sorcering: Soil ORganic Carbon & CN Ratio drIven Nitrogen modellinG framework [Datenpublikation] [online]. 3 Verzeichnisse, 2 PDF-Dateien. CRAN, zu finden in <https://CRAN.R-project.org/package=sorcering> [zitiert am 08.10.2021]

  5. 4

    Speich MJR, Zappa M, Scherstjanoi M, Lischke H (2020) FORests and HYdrology under Climate Change in Switzerland v1.0: a spatially distributed model combining hydrology and forest dynamics. Geosci Model Dev 13:537-564, DOI:10.5194/gmd-13-537-2020

    https://literatur.thuenen.de/digbib_extern/dn062099.pdf

other Publications

  1. 0

    Scherstjanoi M, Kaplan JO, Lischke H (2014) Application of a computationally efficient method to approximate gap model results with a probabilistic approach. Geosci Model Dev 7:1543-1571, DOI:10.5194/gmd-7-1543-2014

    https://literatur.thuenen.de/digbib_extern/dn062929.pdf

  2. 1

    Scherstjanoi M, Kaplan JO, Poulter B, Lischke H (2014) Challenges in developing a computationally efficient plant physiological height-class-structured forest model. Ecol Complex 19:96-110, DOI:10.1016/j.ecocom.2014.05.009

  3. 2

    Snell RS, Huth A, Nabel JEMS, Bocedi G, Travis JMJ, Gravel D, Bugmann H, Gutierrez AG, Hickler T, Higgins SI, Reineking B, Scherstjanoi M, Zurbriggen N, Lischke H (2014) Using dynamic vegetation models to simulate plant range shifts. Ecography 37(12):1184-1197, DOI:10.1111/ecog.00580

    https://literatur.thuenen.de/digbib_extern/dn062930.pdf

  4. 3

    Scherstjanoi M, Kaplan JO, Thürig E, Lischke H (2013) GAPPARD: a computationally efficient method of approximating gap-scale disturbance in vegetation models. Geosci Model Dev 6:1517-1542, DOI:10.5194/gmd-6-1517-2013

    https://literatur.thuenen.de/digbib_extern/dn062927.pdf

  5. 4

    Scherstjanoi M, Gimmi U, Wolf A, Bugmann H (2010) Windwurf und Borkenkäferepidemien im Alptal nach Vivian und Lothar. Schweiz Z Forstwesen 161(2):36-44, DOI:10.3188/szf.2010.0036

  6. 5

    Gimmi U, Wolf A, Bürgi M, Scherstjanoi M, Bugmann H (2009) Quantifying disturbance effects on vegetation carbon pools in mountain forests based on historical data. Reg Environ Change(9):121-130, DOI:10.1007/s10113-008-0071-7

    Involved in

    ongoing projects

    completed projects

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