Patterns of early post-disturbance reorganization in Central European forests

Article: Patterns of early post-disturbance reorganization in Central European forestsDOI: 10.1098/rspb.XXXXXXJournal: Proceedings BThe dataset contains input files as a partly proceesed raw material. The naming convention of the iput data follows the naming in the R code.Raw data:Data_Week_XX<br>Processed files:auxData.RDatadat_restr.RDatadataToPlot.RDataeco_traits.RDatavegData.RDataOutput file:out_reorg_full.RdataQuantifying reorganization:process to calculate the changes in structure and cmposition between reference and disturbed conditions.<br><br><br>Process:1. identify mortality hotspots based on European forest mortality map (Senf &amp; Seidl, 2021), need for localization of the field work sites (triplets)2. collect forest characteristics data in disturbed and reference sites3. evaluate resilience of sites: along the two axes:-&gt; forest reassembly (change in composition)-&gt; forest restructuring (change in structure)<br>1. Hotspots of tree mortality in Franconia 2018-2019<br>identify input data:get disturbance anomalies form forest disturbance mapget forest cover Europe - for final mapBavaria shp - to overlay the raster data<br>Process:<br>create hexagonal grid over Bavaria at different grid sizes to identify the changing spatial patternoverlap with disturbance map (Cornelius Senf), keep only years 2018,2019,2020intersect with individual grids and forest cover to understand how much forest have been disturbed by yearsidentify the &gt; %% quantile as hotspotsget basic characteristics of disturbances: shape, area, perimeterGoal: identify mortality hotspots to lead field sampling in summer 2022hexagons with &gt;100% of disturbance anomaly over 2018-2020 will be used to select affected forest owners, and localize field work<br>2. Identify resilience of Bavarian forestscompare teh vegetation characteristics with the reference conditionsinput data: vegetations data collected in summer 2022, on plot level, and capturing the plot surrounding: up to 15 m radiustriplet = 3 sites:<br>MAN = Managed (clear cut trees died during 2018-2020 drought)UNM = Unmanaged (left standing dead trees, died during 2018-2020 drought)REF = Reference (living standing trees, unaffected by drought)<br>Process:clean data from the raw datasets (from ArcGIS Survey123: 600 columns.. ) to extract the regeneration, advanced regeneration and mature trees for plot level, ENV data for mature trees and advanced regeneration in surroundingsrecalculate data on the plot level: but counts are on hectares!apply slope correction to calculate stem density on 1 ha3. Identify forest reorganization:<br>follow by the 'Quantifying reorganization.docx' protocol to identify the changes in vegetation patterns<br>Reassembly (RA)- Dominant tree species- Tree species richness- Competition (shade tolerance)<br>Restructure (RS)- Stem density- Vertical structure- Horizontal structure<br>