Latewood Cell‑Wall Thickness in Alpine Larch: QWA Data and R Code for 250‑Year Summer Temperature Reconstruction

README – Data_paper_JGR This archive contains R code, quantitative wood anatomical (QWA) series,larch budmoth (LBM) outbreak years, and climate data used to analyselatewood cell-wall thickness in Swiss Alpine Larix decidua and toreconstruct May–September air temperature over the past 250 years. STRUCTURE--------- R_Routines/ eps_rbar_chron.R - Builds and evaluates chronologies from tree-level QWA and ring-width series (EPS, rbar, basic QC). qwa_daily_clim_corr.R - Daily climate response analysis between QWA traits and daily temperature. - Reads anatomical chronologies and Meteo_data/GRA files. - Optionally removes LBM outbreak years using LBM_Years/LBM_years.txt. - Uses dendroTools::daily_response() to identify the optimal reconstruction window and exports reconstruction-ready files. qwa_monthly_clim_corr.R - Monthly/seasonal climate response analysis. - Correlates QWA traits with monthly/seasonal temperature and/or precipitation and summarizes best windows. qwa_based_reconstruction.R - Bootstrap scaling reconstruction from latewood cell-wall thickness. - Reads reconstruction-ready files from qwa_daily_clim_corr.R. - Performs split-sample bootstrap calibration/validation (CE, RE, r). - Derives ensemble mean and uncertainty envelopes. - Applies Butterworth low-pass and high-pass filters. - Produces multi-panel PDF figures (raw, smoothed, high-pass, 30-year moving correlations, extremes). LBM_Years/ LBM_years.txt - Historical larch budmoth outbreak years for Grächen. - Used to flag/remove defoliation years in response and reconstruction analyses. Extracted_traits_10trees/50_microns/ Raw_series/ GRA_*_q75_50mu_Raw_series.txt - Raw annual series of QWA traits (e.g. latewood cell-wall thickness, density, lumen dimensions, ring width), summarized at the 75th percentile across 10 trees. Spline_series/ GRA_*_q75_50mu_Spline_series.txt - Spline-smoothed versions of the same traits, used for sensitivity tests and comparison with low-frequency filtering. Meteo_data/GRA/ BRO_GRA_7.84_46.2_daily_tmp.txt, tmp_MET_GRA.txt, etc. - Daily and monthly temperature records for the Grächen site from different datasets (BRO, CRU, local station, Imfeld). - Provide May–September temperature targets for response analysis and reconstruction. HOW TO RUN---------- 1. Build and check chronologies - Open eps_rbar_chron.R and adjust input paths if needed. - Run to compute EPS/rbar and verify QWA chronologies. 2. Daily climate response - Run qwa_daily_clim_corr.R to: * load QWA series and daily climate data, * choose LBM treatment (historical / file / none), * compute daily response and optimal climate window, * export reconstruction-ready files and triangle plots. 3. Monthly climate response (optional) - Run qwa_monthly_clim_corr.R to explore monthly/seasonal trait–climate relationships. 4. Climate reconstruction - Run qwa_based_reconstruction.R to: * load the latest reconstruction-ready file, * perform bootstrap scaling and skill assessment, * generate reconstruction series, filtered components, * create combined PDF figures. CITATION-------- If you use these materials, please cite: Bachelier Courtin et al., "Latewood cell-wall thickness in alpine larch treeas a high-fidelity proxy for air temperature over the last 250 years",Journal of Geophysical Research: Biogeosciences (in review).