A hierarchical framework for mapping pollination ecosystem service potential at the local scale
Creators: name: Perennes, Marie
name: Diekötter, Tim
name: Groß, Jens
name: Burkhard, Benjamin
Publisher: name: Amsterdam [u.a.] : Elsevier Science
Year: 2021
Subjects: subject: Ecosystem service providers
subject: Ensemble species distribution models
subject: Species richness
subject: Species-specific habitat filter
subject: Wild bee species
subject: Agricultural robots
subject: Biodiversity
subject: Cell proliferation
subject: Conservation
subject: Crops
subject: Cultivation
subject: Land use
subject: Plants (botany)
subject: Population distribution
subject: Conservation measures
subject: Ecosystem services
subject: Environmental requirement
subject: Hierarchical approach
subject: Land use/land cover
subject: Life-history traits
subject: Species distributions
subject: Species specifics
subject: Ecosystems
subject: bee
subject: biodiversity
subject: conservation
subject: cultivation
subject: ecosystem service
subject: habitat management
subject: hierarchical system
subject: human activity
subject: plant community
subject: pollination
subject: spatial distribution
subject: Germany
subject: Andrena (genus)
subject: Brassica napus
subject: Hexapoda
subject: Dewey Decimal Classification::500 | Naturwissenschaften::570 | Biowissenschaften, Biologie

description: Wild bees play a major role in the cultivation of crops for human use, in the reproduction of many wild plants and are a key component of biodiversity. Mainly due to human activities, wild bees, like other insects, face a rapid decline in Europe. Understanding species distribution can help to design efficient conservation measures. Species distribution can also be used to estimate pollination ecosystem service potential, which can benefit the production of crops relying on pollination and the reproduction of wild plant communities. The presence of pollinators depends on a combination of environmental and biotic factors, each playing a determining role at different spatial scales. We therefore developed a model composed as a hierarchical framework for environmental predictors: climatic data and Land Use/Land Cover (LULC) variables at the European scale and species-specific habitat information at the local scale. The model combines the advantages of two different existing approaches: pollinator species distribution predictions based on their environmental requirements and knowledge on bee species life-history traits and habitats. This paper presents the predicted distribution of twenty-five wild bee species of the Andrena genus in an agricultural region in Northern Germany. We used oilseed rape pollinators as a case study and compared the potential pollination services to the potential demand in the Case Study Area. The developed framework allows to determine the capacity of landscapes to support pollination ecosystem services from wild bees at the local scale, which can support the identification of vulnerable areas and the design of local scale measures for habitat improvement and for conservation. The hierarchical approach leaves potential for further adaptations in order to improve the prediction of wild bee species dynamics and factors influencing their spatial distribution. © 2021