Wildlife–livestock disease interfaces are often managed as geographically stable boundaries between wildlife populations and production systems, yet the epidemiological conditions that generate cross-species risk are mobile, seasonal, environmentally mediated, and institutionally fragmented. This article develops an original non-empirical cross-sector governance architecture for interpreting the wildlife–livestock boundary as a moving epidemiological system. Evidence from wildlife ecology, livestock production, host movement, landscape epidemiology, environmental persistence, farm biosecurity, conservation, intervention science, surveillance, and One Health governance is integrated without assuming that contact establishes transmission, environmental detection establishes infectious persistence, or modelled intervention performance establishes field effectiveness. The analysis distinguishes biological interface conditions from observation processes and administrative responsibility, emphasizing that host distribution, farm permeability, resource sharing, carcass ecology, surveillance intensity, and management activity can shift the practical location and meaning of the boundary. The proposed architecture subsequently links heterogeneous signals to cross-sector interpretation, responsibility allocation, intervention choice, and adaptive reassessment while preserving conservation and social constraints. Its contribution is therefore organizational rather than predictive: it structures how evidence of different strength and origin could be translated into coordinated veterinary decisions. Applicability remains conditional on pathogen biology, species assemblage, production system, landscape, surveillance capacity, legal authority, and stakeholder objectives. Prospective multisite evaluation and external validation would be required before the architecture could be considered operationally effective.
