CA_lidar_tree_mortality

Data for: Tree height explains mortality risk during an intense drought<br>https://rdcu.be/bU8go<br><b>Tree-level Information</b>Zone: tree ID number Zmax: tree height (m)Count: integer value (1) <b>Yearly Pixel-based Mortality Estimates</b>mort2009: % of “dead” pixels in 2009mort2010: as above for 2010mort2012: as above for 2012mort2014: as above for 2014mort2016: as above for 2016<br><b>Tree-level Mortality Estimates</b>x: x coordinate (UTM Zone 11N)y: y coordinate (UTM Zone 11N)dead: 0 = Live; 1 = Dead, based on 37.5% crown mortality thresholdmort_year: Estimated year of mortality <b>Environmental Variables</b>tmax: PRISM mean of maximum temperature (degrees C) over the study period.ppt: PRISM mean of maximum temperature (mm) over the study period.pptn: WorldClim annual precipitation normals (mm) from 1981-2010.tmaxn: WorldClim maximum temperature normals (degrees C) from 1981-2010.aws: SURGGO available soil water (mm) elevation: LiDAR 1 m elevation (m) slope: LiDAR slope 1 m (degrees)aspect: LiDAR 1 m aspect (degrees)cover: LiDAR 1 ha forest cover (%)vpdmax: PRISM mean VPDmax (hectopascals)<br><br>