Eileen Kuhl

 

Ph.D. Student

Subject: Tree growth variability in Urban Heat Islands & Dendroclimatology
Johann-Joachim-Becher Weg 32
Building 1272, Room 00-122
Phone: + 49 6131 39-24012
E-Mail: eikuhl@uni-mainz.de 

 

 

Consultation hours: upon agreement

Biographical Data

  • Since 12/2020 -- Research Assistant, Climatology Group, Department of Geography, Johannes Gutenberg-University Mainz

Thesis: Towards a millennium length temperature reconstruction from historical buildings in Swiss Alpine valleys.

  • 10/2018 - 11/2020 -- Studies in Climate and Environmental Change (M.Sc.), Johannes Gutenberg-University Mainz
  • 05/2016 – 11/2020 -- Student Assistant, Climatology Group, Department of Geography, Johannes Gutenberg-University Mainz
  • 09/2019 – 12/2019 -- Studies abroad at University of Aberdeen, Scotland, UK
  • 02/2020 – 10/2020 -- Working Student in topographic surveying, Afry Deutschland GmbH

Thesis: Conceptualizing a measurement network to monitor urban tree growth and rural variability in Mainz.

  • 10/2015 – 10/2018 -- Studies in Geography (B.Sc.), Johannes Gutenberg-University Mainz

 

Publications

In review

Kuhl E, Zang C, Esper J, Riechelmann D, Büntgen U, Briesch M, Reinig F, Römer P, Konter O, Schmidhalter M, Hartl C (in press) Using Machine Learning on tree-ring data to determine the geographical provenance of historical construction timbers. Ecosphere.

2022

  1. Hartl C, Schneider L, Riechelmann DFC, Kuhl E, Kochbeck M, Klippel L, Büntgen U, Esper J (2022) The temperature sensitivity along elevational gradients is more stable in maximum latewood density than tree-ring width. Dendrochronologia.

 

Talks

06/2021 "A density provenance model to improve millennium length temperature reconstructions", TRACE2021 (Cutting Edge Dendrochronology), virtual conference.

05/2022 "Machine Learning paves the way for a robust millennium-length Alpine temperature reconstruction ", TRACE2022 Erlangen (Dendroclimatology), conference.

06/2022 "Dendroprovenancing with machine learning – a new approach to reveal the original growth site of historical timber" AmeriDendro2022 Montreal (Historical Timbers and Wooden Artifacts as Archives: New Glimpses On Trees, Ecology, and People), conference.

10/2022 "How Machine Learning helps to improve a millennium-length summer temperature reconstruction for
the European Alps" AK KLIMA 2022 Würzburg (Session 5: Methoden in der Klimatologie), conference.

 

Research Interest

  • Dendroclimatology
  • Dendroecology
  • Paleoclimatology
  • Urban Climate
  • Urban Trees
  • Climate Change
  • Applied Machine Learning

 

Teaching

Winter Term 2022/2023

  • M1/M1-ED Climate Geography

Summer Term 2022

  • M11/M9-ED Regional Geography Seminar and Excursion "Iceland"

Winter Term 2021/2022

  • M1/M1-ED Climate Geography

Summer Term 2021

  • M11/M9-ED Regional Geography Seminar and excursion "Iceland"
  • A Fearful Hope: Imagining a blueprint for a sustainable future (GO Project at COP26, Glasgow)