Community (or citizen) science, the involvement of volunteers in scientific endeavors, has a
long history. Over the past few centuries, the contributions of volunteers to our …

There is increasing availability and use of unstructured and semi‐structured citizen science
data in biodiversity research and conservation. This expansion of a rich source of 'big …

This chapter discusses the broad and complex topic of data quality in citizen science–a
contested arena because different projects and stakeholders aspire to different levels of data …

Coral reefs are an essential source of marine biodiversity, but they are declining at an
alarming rate under the combined effects of global change and human pressure. A precise …

Deep learning (DL) algorithms are the state of the art in automated classification of wildlife
camera trap images. The challenge is that the ecologist cannot know in advance how many …

Pollinators are undergoing a global decline. Although vital to pollinator conservation and
ecological research, species-level identification is expensive, time consuming, and requires …

Human disturbance may fundamentally alter the way that species interact, a prospect that
remains poorly understood. We investigated whether anthropogenic landscape modification …

Emerging technologies make it increasingly straightforward for scientists to collect data that
are fine in scale, broad in scope, and transparent with open access. However, the resulting …

As anthropogenic degradation of biodiversity and ecosystems increases, so does the
potential threat to the supply of ecosystem services, a key contribution of nature to people …

Camera traps have become a popular sampling tool in ecological studies. This is especially
true for studies that estimate population densities through spatial capture-recapture models …