A hierarchical framework for mapping pollination ecosystem service potential at the local scale

摘要: Abstract Wild bees play a major role in the cultivation of crops for human use, reproduction many wild plants and are key component biodiversity. Mainly due to activities, bees, like other insects, face rapid decline Europe. Understanding species distribution can help design efficient conservation measures. Species also be used estimate pollination ecosystem service potential, which benefit production relying on plant communities. The presence pollinators depends combination environmental biotic factors, each playing determining at different spatial scales. We therefore developed model composed as hierarchical framework predictors: climatic data Land Use/Land Cover (LULC) variables European scale species-specific habitat information local scale. combines advantages two existing approaches: pollinator predictions based their requirements knowledge bee life-history traits habitats. This paper presents predicted twenty-five Andrena genus an agricultural region Northern Germany. oilseed rape case study compared potential services demand Case Study Area. allows determine capacity landscapes support from scale, identification vulnerable areas measures improvement conservation. approach leaves further adaptations order improve prediction dynamics factors influencing distribution.