Global trends of vegetation leaf moisture content and extreme weather since the 1980s

• DOI: 10.5194/egusphere-egu23-11599
• Publication Date: 2023-02-26T01:25:31Z
• Authors: Luisa Schmidt; Wantong Li; Matthias Forkel
• Keywords: Enhanced vegetation index

Climate change leads to a of precipitation frequency and quantity as well increased temperature inducing extreme weather events like floods but also more intensive longer drought periods.The response the vegetation these trends is high interest because regulates interception, transpiration water storage which important for plant productivity, agriculture, carbon cycling danger wild fire occurrence. Reduced in combination with lead stressed might not only behave different regards evapotranspiration are prone wildfires. However, currently we don’t know how status changes long-term. A long-term time series leaf moisture content can help understand consequences changing environmental conditions on layer part cycle.Measurements usually available single test-sites (missing spatial coverage), often measured short span hold missing data. Estimations able provide consistent mostly done regional scale transferability. data large coverage necessary address reliable analyses context climate change.Our trend analysis will focus live-fuel (LFMC) based optical depth (VOD) Leaf Area Index (LAI). LFMC defined mass living dry vegetation, expressed percentage. an variable field it one key predictors risk development fire. be estimated ecosystem level due its independence type. Here use VODCA VOD GLOBMAP LAI create period 1988-2017 global analyse temporal LFMC. Initial results indicate heterogeneous pattern depend land cover type, e.g., decreasing shrublands increasing needle-leaved forests. We compare heat indices. Inter-annual correspond multi-year events.