Ecosystem service (ES) spatial modelling is a key component of the integrated assessments designed to support policies and management practices aiming at environmental sustainability. ESTIMAP (“Ecosystem Service Mapping Tool”) is a collection of spatially explicit models, originally developed to support policies at a European scale. We based our analysis on 10 case studies, and 3 ES models. Each case study applied at least one model at a local scale. We analyzed the applications with respect to: the adaptation process; the “precision differential” which we define as the variation generated in the model between the degree of spatial variation within the spatial distribution of ES and what the model captures; the stakeholders’ opinions on the usefulness of models. We propose a protocol for adapting ESTIMAP to the local conditions. We present the precision differential as a means of assessing how the type of model and level of model adaptation generate variation among model outputs. We then present the opinion of stakeholders; that in general considered the approach useful for stimulating discussion and supporting communication. Major constraints identified were the lack of spatial data with sufficient level of detail, and the level of expertise needed to set up and compute the models.

生态系统服务（ES）空间建模是旨在支持旨在实现环境可持续性的政策和管理实践的综合评估的关键组成部分。ESTIMAP（“生态系统服务映射工具”）是空间明确模型的集合，最初是为支持欧洲规模的政策而开发的。我们的分析基于10个案例研究和3个ES模型。每个案例研究都至少在本地应用了一个模型。我们针对以下方面分析了应用程序：适应过程；“精密微分”，我们定义为模型在ES的空间分布内的空间变化程度与模型所捕获内容之间的变化；利益相关者对模型有用性的意见。我们提出了一种使ESTIMAP适应当地条件的协议。我们介绍了精度微分，作为评估模型类型和模型适应水平如何在模型输出之间产生差异的一种方法。然后，我们提出利益相关者的意见；通常认为该方法对于激发讨论和支持交流很有用。确定的主要限制因素是缺乏具有足够详细水平的空间数据，以及建立和计算模型所需的专业知识水平。