B010
Advancing Our Understanding of Global Vegetation Stress and Its Feedbacks With Our Climate System
Session ID#: 159772
Session Description:
Advances in remote sensing, experimental studies, and the growing number of in situ measurements and ecosystem trait databases, can now be combined with machine learning, statistical approaches and mechanistic models, to understand how plants respond to climate extremes. Combining these data in innovative ways will help to validate and improve models of plant-stress, and in-turn climate predictions.
We encourage contributions that advance understanding of vegetation-stress and its climate feedbacks. This includes studies using new techniques for monitoring plant-stress, evaluating and calibrating plant-stress representation in models, improving our understanding of how plant-stress impacts surface fluxes and boundary layer processes, using ecosystem trait data to improve understanding of plant-stress, and investigating plant-stress with changing climate through manipulation experiments.
Index Terms:
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0476 Plant ecology [BIOGEOSCIENCES]
1813 Eco-hydrology [HYDROLOGY]
1843 Land/atmosphere interactions [HYDROLOGY]
