Yike Li

Yike Li MSc


Droevendaalsesteeg 10
6708 PB Wageningen

+31 (0) 317 47 34 00

The Netherlands



Inland surface waters are vulnerable to climate change, however, they are natural sources of greenhouse gas emissions. Understanding the contribution of surface water ecosystems in global greenhouse gas emissions can provide information for mitigation measures and future policy making. As a PhD student, I currently focus on modelling of greenhouse gas emissions from surface water with PCLake+ and PCDitch.


Aquatic ecosystems provide diverse ecosystem services, but now are under the pressure of human socioeconomic development and climate change. During my master's experience at Wageningen University, I started to work on lake ecological modelling to simulate the critical nutrient load for shifting lakes from a clear state to a turbid state or vice versa under different scenarios using PCLake+. After that,  I continued to work on PCLake+ in my internship at NIOO. I assessed the lake ecosystem resilience related to macrophytes biodiversity by increasing vegetation functional groups in the PCLake+. Now, with the interest of aquatic ecological modelling, my main focus is developing a greenhouse gas emission model for connected ditch systems by incorparting the carbon cycle with an ecosystem model PCDitch.     


Projecten & samenwerkingen


  • Decreasing greenhouse gas emissions from surface waters by climate‐smart water management (DIGS)

    Project 2021–2025
    Though shallow surface waters are known GHG emission hotspots, the quantification of its GHG emission levels is hampered by the lack of accurate measurements and sound spatial extrapolation methods. As a consequence, climate-smart decision-support tools for surface water management cannot be developed. This is an important caveat, because there is a large potential to reduce GHG emissions from shallow surface waters. The project will tackle this problem by providing a first evidence-based estimate of GHG emissions of shallow inland waters in the Netherlands, and by identifying measures to reduce GHG emission and increase carbon storage in surface waters. These data will be used to develop and validate climate-smart management tools that can be applied by the water management stakeholders involved in the project. DIGS will provide means that will directly contribute to the principal priority of the Dutch government to combat climate change: reduction of Netherlands’ GHG emissions by 49% in 2030, compared to 1990 levels. DIGS is funded by the Open Technology Program of NWO and has a term of four years starting in 2021.
    Greenhouse gas emissions from surface waters