Mesocarnivores play important ecological roles and are valued by diverse stakeholders. These species are often the focus of conservation efforts or are managed for sustainable harvest. Management actions require accurate population monitoring, but such monitoring is challenging because mesocarnivores are elusive and persist at low densities. We addressed this challenge by evaluating 2 monitoring methods (scent stations and motion-sensitive cameras) using multi-method modeling.We estimated occurrence probabilities and habitat relationships for 8 mesocarnivore species by fitting occupancy models to data collected at 75 sites from October to December 2021 across a 3,200-km 2 system in New Hampshire, USA. We assessed the relative estimated precision of the methodological approaches and their costs. We also evaluated tradeoffs in occurrence estimation and uncertainty among study designs by analyzing simulations run across various numbers of study sites and 2 study durations. Cameras cost roughly 10 times more than scent stations but strongly outperformed them in terms of species' detectability and parameter estimate precision. Multi-method models yielded the most precise estimates of occurrence probability and habitat relationships. Parameter estimates were on average twice as precise for camera and multi-method models compared to scent stations. Additionally, the estimated precision and direction (positive or negative) of habitat relationships varied with the method employed. Longer camera deployments, additional study sites, and multi-method approaches nearly always reduced uncertainty, but these

Urbanization and habitat fragmentation can disrupt wildlife behavior and cause declines in biodiversity and ecosystem function. Most urban wildlife research has compared highly urbanized regions with rural areas. However, human development is also rapidly occurring in exurban areas, which consist of a matrix of lower-density housing and natural patches. Thus, although such “exurbanization” is intensifying, little research has examined how mammals respond to exurban development. To address this knowledge gap, we evaluated the activity of 12 species using 104 camera traps in exurban and rural areas across southeastern New Hampshire, USA, during summer 2021 and winter 2021–2. We quantified species’ activity levels (overall portion of daily activity) and patterns (variation of diel activity period) to test hypotheses regarding how species’ space requirements and nocturnality modulated their responses to exurban development. We found mixed support for our hypotheses. Two species with large space requirements (bobcats Lynx rufus and white-tailed deer Odocoileus virginianus) reduced activity levels in exurban areas, following hypothesized predictions, while other species (e.g., coyote Canis latrans) did not. As predicted, nocturnal species were less likely to shift activity patterns, but this varied across species and seasons. We also found evidence for a coupled predator–prey response among bobcats and lagomorphs in summer, with similarly altered activity in exurban areas. These results suggest that wildlife modify activity in response to exurban development with substantial species and season-specific variation within the mammal community, highlighting the complex ways wildlife adapt to urbanization and the potential consequences thereof for mammal communities.