oa Identifying Plant Wax Inputs in Lake Sediments Using Machine Learning

We trained models to identify plant type based upon modern leaf wax chain length distributions. We then applied these models to ancient waxes extracted from a core collected from Searles Lake, California, USA, to reconstruct paleovegetation. We validated our models by comparing our vegetation results to the ACE index, a proxy for lake salinity also measured from lake core samples.