An earth observation- and integrated assessment (EOIA) approach
to the governance of Lake Naivasha, Kenya
|Starting date||01 January 2009|
|Completion date||31 December 2013|
|Project leader||A. van der Veen|
|Project officer||Paul Schoonackers|
|Project type||Contract research|
The horticultural industry around Naivasha in Kenya is seen as an example of a successful economic growth path to be copied by other African countries. Export of flowers sustains an economy that previously suffered from low employment and low income. However, the environmental price of fast economic growth is hefty: the rapidly growing population, large water abstractions for irrigation, changing land use, and inflow from agrochemicals, put the ecosystem under pressure.
After the past elections tribal fights, especially in Naivasha and Nakuru, were heavy. They are reflected in upstream and downstream social conflicts as employment in Naivasha is created with Western Kenya people. As is well known women play a major role. This tribal and gender issue is an important issue in this proposal.
We focus on how Earth Observation (EO) and derivative geo-information may help to overcome societal clashes in a collaborative stakeholder setting within Kenyan society. The innovation we apply is to couple EA via Integrated Assessment. EO provides such detailed data that, in connection with standard secondary data, we are able to perform the physical and social analyses necessary to allow stakeholders to deliberate about their common future. For urban areas socio-economic information estimation now covers population estimation, employment estimation, and GDP estimation. The consequent social analyses now deal with migration patterns, land use and land cover change, and the establishment of quality-of-life indicators (Wu 2007). The benefit for developing countries is a cost-effective way of data collection and processing, because in comparison with census data, EO data are available on an almost daily basis.
The scientific tool we apply is a system description based on an Integrated Assessment (IA). IA aims to integrate knowledge over a range of relevant disciplines, and to provide new information how complex real-world systems might behave, thus enabling decision-making. Cross-sectoral implications that might be missed in more traditional assessments can be explicitly explored in ways that are meaningful to stakeholders. Key decision variables as output of this system analysis are livelihood and employment as description of efficiency and equity characteristics of the socio-economic structure upstream and downstream; a differentiation is made in order to reckon with gender. Secondly, water quality and water quantity are assessed as a characterisation of Lake Naivasha. Finally, habitat and minimum viable population are determined as portrayal of the ecosystem. These final decision variables feed into a stakeholder process as has been already in the pre-proposal phase.
For more information go to the EOIA Naivasha project website.