Alice Valentini

This study compares eDNA sampling and camera trapping for detecting coypu populations, finding eDNA more effective for presence confirmation while camera traps provide complementary behavioral insights.

The paper compares the efficiency of eDNA, camera traps, and scat surveys for detecting Eurasian otters across four catchments in southern France, finding scat surveys most effective and highlighting method complementarity.

NeMO is an R package that models multi-species occupancy from eDNA data, estimates detectability, and optimizes survey design by calculating minimal sampling effort.

The paper investigates ecological factors driving nontuberculous mycobacteria in aquatic systems, finding habitat type, abiotic factors, and microbial interactions influence their distribution and disease transmission.

This paper uses convolutional neural networks to process eDNA metabarcoding data, achieving faster speeds than OBITools while maintaining comparable accuracy.