Modelling global livestock diversity : a fuzzy cognitive mapping approach

For modelling global trends in agrobiodiversity better insight in the relationship between drivers (and related pressures) and agrobiodiversity is needed. In a previous study of the authors a number of indicators for genetic diversity were proposed as being suitable for modelling. In this working document it was investigated if a global agrobiodiversity map for livestock could be produced based on one of these earlier suggested indicators. The Global Domestic Animal Diversity Information System (DAD-IS) was interrogated for one livestock species (cattle) to investigate whether sufficient data of good quality is available to produce such a global map. Additionally, a fuzzy cognitive mapping approach was used to make a qualitative description of livestock diversity in relation to drivers of change. In the FCM 21 factors were identified by the workshop participants to describe the livestock diversity system, of which 10 appeared to be most influential. For these most important factors a list of relevant (proxy) indicators with their potential for use was suggested. These suggested indicators could be the basis for further research in which the so-called archetype methodology could be used to get insight in hotspots of livestock diversity.