Political identity predicts hunting occurrence on private land

Understanding the factors that predict whether hunting occurs on private land is vital for effective wildlife management. In this exploratory study, we surveyed non-industrial landowners (n = 855) along an urban-to-rural gradient in Durham County, North Carolina, to examine how political identity and several socio-demographic and geographic variables predict hunting occurrence on private property. Standardized comparisons (|ln(SOR)|) indicated that road density was the strongest predictor (|ln(SOR)| = 0.994), with hunting less likely in higher road-density areas. Age was the second strongest predictor (|ln(SOR)| = 0.469), with hunting more likely on properties owned by older landowners. Political identity was the third strongest predictor (|ln(SOR)| = 0.393), with hunting less likely on properties owned by landowners with more liberal political identities. These results illustrate that structural landscape features and socio-political factors shape hunting occurrence, and that customizing stakeholder engagement to align with landowner political identity may improve hunting access on private land.