Inadequacies in the indication of cultural ecosystem services (CES) are a hindrance in assessing their comprehensive impacts on human wellbeing. Similarly, uncertainties about the quantity and quality of CES, in real time and space, have hampered the ability of resource managers to precisely take responsive management actions. The aim of the study is to demonstrate, how CES indicators can be identified and qualified in order to link CES to human wellbeing, and to integrate them into the 'ecosystem services cascade' and the Driver-Pressure-State-Impact-Response (DPSIR) models. A case study methodology is applied at the Nairobi-Kiambu (Kenya) peri-urban area. Primary data on CES was collected in the case study through survey, field observations and matrix tables. Secondary data originates from literature analysis. Results show that the participatory identification of CES and human wellbeing indicators could improve their transparency and comprehensibility. The environmental policy formulation and implementation processes have been demonstrated. The tripartite framework of CES-human wellbeing-DPSIR has demonstrated more linkages and feedbacks than initially indicated in the cascade model. For policy formulation and implementation, appropriate communication of results is mandatory. This is illustrated by a terminology that enables the transfer of scientific messages to stakeholders, especially for the local people. The conclusion indicates the importance of consistency in qualifying CES and human wellbeing indicators even at this time of urgency to bridge the gaps existing in CES and human wellbeing research.
Keywords:Indicator selection, Interviews, Kenya, DPSIR-framework, Human wellbeing Contributing to the cultural ecosystem services and human wellbeing debate: a case study application on indicators and linkages LANDSCAPE ONLINE 50:1-27(2017)
Highlights• Identifying and qualifying indicators of cultural ecosystem services and human wellbeing.• Integrating cultural ecosystem services and human wellbeing into the ecosystem services cascade and DPSIR models.• Closing loops and links between human wellbeing, policy formulation and policy implementation.• Simplifying inter-stakeholder communication without distorting the scientific message.• Case study application in Kenya.