Surveillant Science: Challenges for the Management of Rural Environments Emerging from the New Generation Diffuse Pollution Models
研究了新一代面源污染模型因依赖遥感数据和连通性概念而面临的问题，提出跨学科方法（包括承认模型框架、强调情境、方法多元和促进管理者与建模者互动）能帮助解决这些挑战。
Abstract Current models of diffuse pollution are characterised by a progressive engagement with remotely‐sensed data coupled with more elegant modelling approaches. Central to these new models is the concept of connectivity, which leads to the identification and prioritisation of those landscape units (e.g., fields) where the consequences of land management activities are most readily transmitted to watercourses. The practice of diffuse pollution modelling using such models encounters certain problems. Following Brewer (1999) we argue that interdisciplinarity offers the opportunity to overcome these problems through: (1) its explicit recognition of the framing implicit in model development; (2) an emphasis on context in problem‐solving; (3) methodological pluralism; and (4) following from these other factors, the possibility of a different sort of engagement between land managers and modellers. Hence, the case for developing interdisciplinary approaches goes beyond the conventional dictates of problem‐led research and points to very different ways of conducting diffuse pollution research, taking on board the full dimensions of interdisciplinarity, with its emphasis on reflexivity, contextuality, substance and engagement.