Bristlecone Pine Maximum Latewood Density from the California White Mountains and April-to-September Temperature Reconstruction for American Southwest

Bristlecone pine (Pinus longaeva) (PILO) trees have an exceptional longevity. Their tree-ring width (TRW) series offer valuable insights into climatic variability. Maximum latewood density (MXD) typically correlates better with temperature variations than TRW, yet PILO MXD records are non-existent due to methodological challenges related to their tree-ring structure. Here, we used an X-ray Computed Tomography (X-ray CT) toolchain on 51 PILO cores from the California White Mountains to build a chronology that correlates significantly (r=0.66, p&lt;0.01) with warm-season (April-September) temperature over a large spatial extent. This led to the first X-ray CT-based temperature reconstruction (1625 – 2005 CE). Good reconstruction skill (RE=0.51, CE=0.32) shows that extending MXD records across the full length of the PILO archive could yield a robust warm-season temperature proxy for the American Southwest over millennia. This breakthrough opens avenues for measuring MXD in other challenging conifers, increasing our understanding of past climate further, particularly into the lower latitudes.<br>AMJJAS_Tmean_reconstruction.txt - March-to-September mean temperature reconstruction for American Southwest (35° - 38° N; 119° - 115° W) based on the maximum latewood density of bristlecone pines from the California White MountainsPILO_MXD_RAW.rwl - raw measurements of the maximum latewood density of bristlecone pines from the California White Mountains derived from X-ray Computed TomographyPILO_MXD_chronology.txt - standardized chronology for maximum latewood density of bristlecone pines from the California White Mountains derived from X-ray Computed TomographyMatlab scripts folder contains scripts and related files to generate figures 2a,b,c, 3, 4 of the paper