Eileen Kuhl

 

Ph.D. Student

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

 

 

 

Biographical Data

  • 12/2020 - 05/2024 -- 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

 

2024

5. Kuhl E, Ziaco E, Esper J, Konter O,Martinez del Castillo, E (in press). A machine learning approach to fill gaps in dendrometer data. Trees.

4. Kuhl E, Esper J, Schneider L, Trouet V, Kunz M, Klippel L, Büntgen U, Hartl C. Revising Alpine summer temperature history since 881 CE. Climate Dynamics. https://doi.org/10.1007/s00382-024-07195-1

 

2023

3. Kunz M, Esper J, Kuhl E, Schneider L, Büntgen U, Hartl C.  Combining Tree-Ring Width and Density to Separate the Effects of Climate Variation and Insect Defoliation. Forests 14(7):1478;
https://doi.org/10.3390/f14071478

2. Kuhl E, Zang C, Esper J, Riechelmann D, Büntgen U, Briesch M, Reinig F, Römer P, Konter O, Schmidhalter M, Hartl C Using Machine Learning on tree-ring data to determine the geographical provenance of historical construction timbers. Ecosphere 14(3) https://doi.org/10.1002/ecs2.4453

 

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

07/2023 "The Future of Urban Trees: Dendroecology of Plane and Maple Trees", Forster Summer School Mainz.

06/2023 "The whisper of trees -What growth rings reveal about the health of the Palatinate Forest", Project Wald, Scotland GO Mainz.

05/2023 "Central Europe summer temperatures over the past Millennium", TRACE2023 Coimbra (Climate Reconstruction session), 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.

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.

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

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

 

Research Interest

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

 

Teaching

Winter Term 2023/2024

  • M1/M1-ED Climate Geography

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)