Andrew Olaf Shelton

The paper uses eDNA metabarcoding and generalized additive models to model cetacean distribution along the Washington coast, finding spatial patterns consistent with historical records.

The paper combines qPCR and metabarcoding to estimate eDNA quantities for multiple fish species, creating spatial maps that align with known ecological niches and identify biodiversity hotspots.

This study investigates non-detections in metabarcoding data to improve quantitative accuracy by modeling amplification biases and stochastic sampling effects.

This study uses simulations to understand how PCR processes affect species detection in eDNA studies and finds that proportional read indices accurately reflect taxon biomass when amplification efficiency is high.