The rise of passive acoustic monitoring and the rapid growth in large audio datasets is
driving the development of analysis methods that allow ecological inferences to be drawn …

Measuring and tracking biodiversity from local to global scales is challenging due to its
multifaceted nature and the range of metrics used to describe spatial and temporal patterns …

Many ecologists increasingly advocate for research frameworks centered on the use of 'big
data'to address anthropogenic impacts on ecosystems. Yet, experiments are often …

Scientific fields operate within paradigms that define problems and solutions for a
community of researchers. The dominant paradigm in polling centers on random sampling …

Importance Marked elevation in levels of depressive symptoms compared with historical
norms have been described during the COVID-19 pandemic, and understanding the extent …

Biodiversity monitoring usually involves drawing inferences about some variable of interest
across a defined landscape from observations made at a sample of locations within that …

Designing a large-scale multispecies survey presents significant challenges due to its
multivariate, multiscale, and often multiobjective nature. Because it is impractical to measure …

Assessments of the status and trends of abiotic and biotic indicators are two central
objectives in many ecological studies and monitoring programs. Given the impracticality of …

Biodiversity faces unprecedented threats from rapid global change. Signals of biodiversity
change come from time-series abundance datasets for thousands of species over large …

Global environmental challenges require comprehensive data to manage and protect
biodiversity. Currently, vision-based biodiversity monitoring efforts are mixed, incomplete …