  For policymakers wishing to make evidence-based decisions, one of the
challenges is how to combine the relevant information and evidence in a
coherent and defensible manner in order to formulate and evaluate candidate
policies. Policymakers often need to rely on experts with disparate fields of
expertise when making policy choices in complex, multi-faceted, dynamic
environments such as those dealing with ecosystem services. The pressures
affecting the survival and pollination capabilities of honey bees (Apis
mellifera), wild bees and other pollinators is well-documented, but incomplete.
In order to estimate the potential effectiveness of various candidate policies
to support pollination services, there is an urgent need to quantify the effect
of various combinations of variables on the pollination ecosystem service,
utilising available information, models and expert judgement. In this paper, we
present a new application of the integrating decision support system
methodology for combining inputs from multiple panels of experts to evaluate
policies to support an abundant pollinator population.
