Outdoor recreation is considered a cultural ecosystem service with well-documented benefits to human health and well-being. Some outdoor recreation activities are regulated and require participants to have a permit or license (e.g., hunting and fishing). However, wildlife watching—and especially birdwatching, a well-established pastime—is a non-consumptive activity that requires no permit or license and thus leaves few formal data trails. Fortunately, crowd-sourced data with associated volunteered geographic information (VGI), gathered by a variety of citizen/community science (CS) projects and social media platforms, can complement the information about non-consumptive activities provided by standard (typically survey-based) administrative datasets. The widespread spatial and temporal availability of ecosystem-related VGI data make these data potentially very useful for studies of how ecological changes affect nonmarket or recreational ecosystem services enjoyed by humans. These effects can be estimated using either formal recreation demand models or visitation models. CS projects, where members of the public report nature sightings, are novel sources of data about where and how participants engage with nature, such as wild birds. Here, we focus on eBird, a large-scale CS project hosted by Cornell University’s Laboratory of Ornithology. Researchers have analyzed eBird member reports to study eBird members’ visits to public lands for birdwatching.