We use trait-based to design resilient grasslands that can mitigate greenhouse gas emissions in the face of extreme weather events.
It is an age of extremes. The climate is rapidly changing due to emissions of greenhouse gases from human activities. And as the climate changes, extreme weather events droughts and floods are becoming more frequent and severe, threatening natural and agriculural ecosystems. Intensively managed grasslands are ecologicaly and economically important agroecosystems that account for nearly half of all agricultural land. These grasslands provide many ecosystem services (carbon storage in their soils, primary productivity, water filtration, habitat for biodiversity), but are also a large source the potent greenhouse gas nitrous oxide due to imputs of nitrogen fertilizer or manure. Flooding threatens to exacerbate greenhouse gas emissions from these grasslands by dramatically increasing nitrous oxide emissions when water availability increases and oxigen is still available, and could switch grasslands from a methane sink to a methane source when saturated. This is alarming, and calls management practices that mitigate greenhouse gas emissions instigated by flooding. One way to mitigate these emissions is by creating smart mixtures of plant species based on their traits related to flood tolerance and resource acquisition.
The main aim of our research is to understand how intensively managed grasslands can be designed to mitigate greenhouse gas emissions during variable climatic conditions. A second key aim is to identify the factors underlying plant community resilience to climate extremes: how grasslands resist and recover from a flood disturbance. To meet these aims, we will link plant trait-based approaches and plant-soil interactions to nitrogen cycling and plant community resilience. We will determine how trait-based combinations of plant species can mitigate greenhouse gas emissions and increase plant community resilience.