Cultural ecosystem services (CES) are some of the most valuable contributions of ecosystems to human well-being. Nevertheless, these services are often underrepresented in ecosystem service assessments. Defining CES for the purposes of spatial quantification has been challenging because it has been difficult to spatially model CES. However, rapid increases in mobile network connectivity and the use of social media have generated huge amounts of crowdsourced data. This offers an opportunity to define and spatially quantify CES. We inventoried established CES conceptualisations and sources of crowdsourced data to propose a CES definition and typology for spatial quantification. Furthermore, we present the results of three spatial models employing crowdsourced data to measure CES on Texel, a coastal island in the Netherlands. Defining CES as information-flows best enables service quantification. A general typology of eight services is proposed. The spatial models produced distributions consistent with known areas of cultural importance on Texel. However, user representativeness and measurement uncertainties affect our results. Ethical considerations must also be taken into account. Still, crowdsourced data is a valuable source of information to define and model CES due to the level of detail available. This can encourage the representation of CES in ecosystem service assessments.

文化生态系统服务（CES）是生态系统对人类福祉最有价值的贡献。然而，这些服务在生态系统服务评估中往往不足。由于很难对CES进行空间建模，因此为空间量化目的定义CES一直是一项挑战。但是，移动网络连接的迅速增加和社交媒体的使用产生了大量的众包数据。这为定义和空间量化CES提供了机会。我们盘点了已建立的CES概念和众包数据源，以提出CES定义和空间量化类型。此外，我们介绍了使用众包数据来测量荷兰沿海岛屿特塞尔的CES的三个空间模型的结果。将CES定义为信息流最好地实现了服务量化。提出了八个服务的一般类型。空间模型产生的分布与特塞尔上具有文化重要性的已知区域一致。但是，用户的代表性和测量的不确定性会影响我们的结果。还必须考虑到道德因素。尽管如此，由于可用的详细程度，众包数据仍然是定义和建模CES的宝贵信息来源。这可以鼓励CES在生态系统服务评估中的代表性。还必须考虑到道德因素。尽管如此，由于可用的详细程度，众包数据仍然是定义和建模CES的宝贵信息来源。这可以鼓励CES在生态系统服务评估中的代表性。还必须考虑到道德因素。尽管如此，由于可用的详细程度，众包数据仍然是定义和建模CES的宝贵信息来源。这可以鼓励CES在生态系统服务评估中的代表性。