Methodological Issues in Resolving Deer, Wolf, and People Avoidance from Camera Records: from One Home Ground to County and then a Statewide Volunteer Network

Damian Anthony Vraniak

Camera records are increasingly used to measure how wildlife respond to people and to predators, but the measures are sensitive to choices that are rarely stated: these include what counts as one event, what the delay is divided by, to which species a return-time measure can justifiably be applied, and against what null a directional test is compared. This paper reports those choices as informed by one dataset. The dataset was extended outward in four nested steps — a family’s home ground (ten cameras, 2024–2026), one county (71 cameras), five counties (525 cameras) and the statewide wolf range (5,371 cameras) of the Snapshot Wisconsin volunteer network, 2018–2025. The numbers from each wider extract were required to reproduce the narrower one’s published values before any new question was asked. Seventeen issues are reported with the result each one changed; eight of them appear in no deposited paper. A checklist for volunteer-network camera analyses closes the paper.