Anthropogenic Microhabitat Feature

Anthropogenic microhabitat features, human-modified environments used by organisms, are a growing focus in ecological research, particularly concerning the impact of urbanization and climate change on biodiversity. Current studies utilize machine learning, including artificial neural networks and computer vision techniques, to analyze remotely sensed imagery (e.g., satellite and insect photographs) and identify these features, assessing their use by various species. This research is crucial for understanding species responses to environmental change, informing conservation strategies (e.g., protecting vulnerable sites like the Nasca geoglyphs), and managing invasive species by targeting their reliance on human-provided resources.