Research
Ongoing projects
Plant temperature-regulated Arctic responses and feedbacks to the changing climate (5-yr Villum Young Investigate project, 2023-2028)
The Arctic experiences amplified warming and increased heatwaves. Understanding how plants cope with these fast-changing thermal conditions and alter their climate impacts is essential. This project will integrate in-situ and satellite observations, laboratory experiments, and mathematical modelling to elucidate the fundamental role of plant thermal temperature in influencing several plant processes and regional climate.
(1) What are the key factors determining plant temperature dynamics?
(2) How will growth temperature influence plant phenology, traits and heatwave responses?
(3) How plants respond to future climate after accounting for plant temperature?
(4) What are the climatic feedbacks after correcting plant temperature responses?
If you want to know more, please reach out to Jing Tang (Jing.Tang@bio.ku.dk)
Coupling lake biogeochemical model into LPJ-GUESS
A PhD project is dedicated to adding lake tile into the dynamic ecosystem model, LPJ-GUESS, to assess how lake and lake-land interactions contribute to regional carbon budget. The work begins to assess lake impacts on greenhouse gas emissions in the high latitudes.
Contact: Ida Roos Friis (irf@bio.ku.dk) or Jing Tang (Jing.Tang@bio.ku.dk) ;
(modified from Sporre et al., 2019)
Coupling LPJ-GUESS modelled BVOCs with chemistry module in EC-Earth3&4:
My development stays at the LPJ-GUESS side by extending LPJ-GUESS to model more than 100 compound species and also group these compounds species based on the targeted chemical scheme. These grouped compound groups will be dynamically coupled into the EC-Earth 3 & EC-Earth 4 by Dr. Twan van Noije.
This extension will open up many research opportunities to quantify the impacts of vegetation dynamics and plant physiological responses on changing BVOC emissions and atmospheric chemical and physical variables.
Photo credits Tao Li ; Per-Ola Olsson
Modelling the impacts of herbivory-induced BVOC emissions on atmospheric chemistry
We scaled up site-level measured relationships between herbivory defoliation and induced BVOC emissions over the Fennoscandian birch forest region. Regional daily defoliation data were extracted from satellite LAI. The defoliation data and BVOC herbivory responses have been used in MEGAN model to simulate regional changes in BVOC emissions. We further supply different emission outputs (with or without herbivory-induced emissions) to the land-meteorological-atmosphere fully-coupled models to assess herbivore-induced emissions on regional aerosol, cloud and radiation.
Greenhouse and BVOC flux samplings across three stages of subarctic lakes:
In late July/early August 2024, PhD student Ida Roos Friis and an assistant went to Abisko to gather data on greenhouse gas and BVOC fluxes on a lake and two thermokarst ponds using two kinds of floating chambers on water surface.
The plan is that she will continue this measurement in summer 2025, and we are currently looking for 2 Master students in this project for a longer summer fieldwork.
Belda et al., (2022) Figure 2
Canopy energy balance:
Together with a team of LPJ-GUESS developers, we are extending LPJ-GUESS to consider land surface energy balance, and radiative transfers (see Belda et al., 2022). This "land surface" version of LPJ-GUESS runs at a subdaily time scale and enables direct integration into an ESM.
I am currently working with Dr. David Belda to develop a "simplifier" version of the model considering canopy energy balance at a daily timescale.
Tang et al., 2019, Figure 2.
Soil BVOC dynamics:
We have collected published soil BVOC measurement data and derived a few emissions dependencies on environmental variables.
The exchange student Jason Chen from Hokkaido Universitym, Japan is currently modelling soil BVOC emissions from one of the Swedish forest sites.
Feel free to contact me if you have new measurement data or want to know more about the modelling :)
Preliminary results made by PhD student Shouzhi Chen
New plant phenology module in LPJ-GUESS:
Together with Prof. Fu's team from Beijing Normal University. we are currently adding a new phenology module to LPJ-GUESS. The whole development is divided into two stages: firstly, we have selected phenological equations to be used to simulate spring and autumn phenology, and are currently obtaining equation parameters for different PFTs based on remote-sensing phenological indices, environmental variables and PFT distribution; then, we will add these equations into the LPJ-GUESS to calibrate at site levels and simulate at the regional and global scales.
Upcoming projects