EGU24-10168, updated on 08 Mar 2024
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Monday, 15 Apr, 16:15–18:00 (CEST), Display time Monday, 15 Apr, 14:00–18:00
Hall X1, X1.11

Assessing vegetation dynamics in global high-mountain ecotones

Linqing Zou1,2, Gabriela Schaepman-Strub2, Feng Tian1, and Tianchen Liang1,3
Linqing Zou et al.
  • 1Wuhan University, School of Remote Sensing Information Engineering, Wuhan, China
  • 2University of Zurich, Department of Evolutionary Biology and Environmental Studies, Zurich, Switzerland
  • 3University of Basel, Department of Environmental Sciences, Basel, Switzerland

As the climate warms, vegetation within treeline ecotones is responding. The high-mountain ecotones, which are less affected by anthropogenic disturbances, present an optimal environment for investigating the effects of climate change on terrestrial ecosystems. Accurately delineating the trends of vegetation in high-mountain ecotones is pivotal for a comprehensive understanding how climate change affects these ecosystems. Remote sensing technology has a significant potential in detecting and quantifying vegetation variation. While previous studies have identified greening trends within certain mountainous regions, there remain a gap in global-scale analysis concerning vegetation dynamics in high-mountain ecotones.

In this study, we utilize long time-series Landsat imagery to monitor and analyze vegetation dynamics in high-mountain ecotones. Our approach includes assessing changes in the physiological properties of the vegetation and analyzing temporal patterns in spatial distribution changes. The results reveal a consistent trend of increased vegetation density and enhanced greening of vegetation in global high-mountain ecotones under the influence of climate change.

How to cite: Zou, L., Schaepman-Strub, G., Tian, F., and Liang, T.: Assessing vegetation dynamics in global high-mountain ecotones, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10168,, 2024.

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