We test a deep learning based denoising autoencoder algorithm on regional and teleseismic seismological and hydroacoustic datasets, which we compile from the International Monitoring System of the Comprehensive Nuclear-Test-Ban Treaty Organisation. We focus on stations which can be relevant to investigate North Korean nuclear tests. Denoising of waveform records using autoencoder techniques potentially enables improved signal...

Ongoing shifts in climate and land use have altered interactions between trees and insect herbivores, changing biotic disturbance regimes. However, as these changes are complex and vary across host species, insect taxa, and feeding guilds, they remain poorly understood. We compiled annual records of forest insect disturbance from 15 countries in temperate and boreal Europe, spanning the period from 2000 to 2022. The dataset co...

Many endangered species suffer from the loss of genetic diversity, but some populations may be able to thrive even if genetically depleted. To investigate the underlying genetic processes of population bottlenecks, we apply an innovative approach for assessing genetic diversity in the last known population of the endangered Pale‐headed Brushfinch ( Atlapetes pallidiceps ) in Ecuador. First, we measure genetic diversity at elev...