Nine Bayesian Belief Networks (BBNs) were developed within the OpenNESS project specifically for modelling ecosystem services for case study applications. The novelty of the method, its ability to explore problems, to address uncertainty, and to facilitate stakeholder interaction in the process were all reasons for choosing BBNs. Most case studies had some local expertise on BBNs to assist them, and all used expert opinion as well as data to help develop the dependences in the BBNs. In terms of the decision scope of the work, all case studies were moving from explorative and informative uses towards decisive, but none were yet being used for decision-making. Three applications incorporated BBNs with GIS where the spatial component of the management was critical, but several concerns about estimating uncertainty with spatial modelling approaches are discussed. The tool proved to be very flexible and, particularly with its web interface, was an asset when working with stakeholders to facilitate exploration of outcomes, knowledge elicitation and social learning. BBNs were rated as very useful and widely applicable by the case studies that used them, but further improvements in software and more training were also deemed necessary.

在OpenNESS项目中开发了九个贝叶斯信念网络（BBN），专门用于为案例研究应用程序建模生态系统服务。该方法的新颖性，发现问题的能力，解决不确定性以及在流程中促进利益相关者互动的能力都是选择BBN的所有原因。大多数案例研究在BBN方面都有一些本地专业知识，可以为他们提供帮助，并且所有案例研究都使用专家意见和数据来帮助发展BBN的依赖性。就工作的决策范围而言，所有案例研究都从探索性和信息性用途转变为决定性用途，但尚未用于决策。三个应用程序将BBN与GIS结合在一起，其中管理的空间组成至关重要，但是讨论了一些有关使用空间建模方法估计不确定性的问题。该工具被证明是非常灵活的，尤其是它的Web界面，在与利益相关者合作以促进成果探索，知识启发和社会学习时成为一种资产。BBN被使用它们的案例研究评为非常有用且广泛适用，但也认为有必要对软件进行进一步改进并进行更多培训。