Data derived state probabilities for Z. noltei monitoring study. Observed variables were shoot density at four sites in this study

1. In general, it is not feasible to collect enough empirical data to capture the entire range of processes that define a complex system, either intrinsically or when viewing the system from a different geographical or temporal perspective. In this context, an alternative approach is to consider model transferability, which is the act of translating a model built for one environment to another less well-known situation. Model transferability and adaptability may be extremely beneficial - approaches that aid in the reuse and adaption of models, particularly for sites with limited data, would benefit from widespread model uptake. Besides the reduced effort required to develop a model, data collection can be simplified when transferring a model to a different application context.
2. The research presented in this paper focused on a case study to identify and implement guidelines for model adaptation. Our study adapted a general Dynamic Bayesian Networks (DBN) of a seagrass ecosystem to a n...

1. 一般而言，无论是从复杂系统的内在属性出发，还是从不同地理或时间维度对其进行观测时，想要收集足够的实证数据以覆盖定义该复杂系统的全部过程，通常是不可行的。在此背景下，模型可迁移性 (model transferability) 便是一种可行的替代方案，其指的是将针对某一环境构建的模型适配至另一尚不熟悉的场景的过程。模型可迁移性与适应性具备极高的应用价值——能够助力模型复用与适配的方法，尤其是针对数据匮乏场景的相关方法，将可通过模型的大规模推广而获得广泛应用。此外，相较于从零开发模型所需的工作量，将模型迁移至新的应用场景还可简化数据收集流程。
2. 本文所呈现的研究聚焦于通过案例研究梳理并落地模型适配的相关指南。本研究将一套适用于海草生态系统的通用动态贝叶斯网络 (Dynamic Bayesian Networks, DBN) 模型适配至……