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Modeling local spatial patterns of wild bee diversity in Pennsylvania apple orchards
Authors:Melanie A Kammerer  David J Biddinger  Neelendra K Joshi  Edwin G Rajotte  David A Mortensen
Institution:1.Intercollege Graduate Degree Program in Ecology,The Pennsylvania State University,University Park,USA;2.Department of Plant Science,The Pennsylvania State University,University Park,USA;3.Fruit Research and Extension Center,The Pennsylvania State University,Biglerville,USA;4.Department of Entomology,The Pennsylvania State University,University Park,USA;5.Department of Entomology,University of Arkansas,Fayetteville,USA
Abstract:

Context

The positive correlation between landscape area of semi-natural habitat and wild pollinator richness and abundance in agroecosystems has been well studied. However, we lack a deep understanding of local scale floral resource and nest provisioning for wild bees necessary to optimize implementation of pollinator conservation practices.

Objectives

The primary objective of this study was to use a spatially interactive landscape pollination model (hereafter, the Lonsdorf model) to represent field scale spatial patterns of wild bee abundance and richness within a heterogeneous landscape in the mid-Atlantic USA.

Methods

We parameterized the Lonsdorf model with high resolution aerial imagery and insight from a previously published floristic study. To test the Lonsdorf model predictions, field studies were conducted to measure wild bee abundance and species richness in apple orchards as a function of distance from a forest edge.

Results

Field measurements indicated apple pollinator abundance and species richness significantly decreased with increasing distance from the forest edge. The Lonsdorf model pollination service score was highly sensitive to changes in resource provisioning in orchard and non-crop areas, and including resource rich forest and forest edge habitats in the model significantly improved pollination service estimates.

Conclusions

We demonstrated a novel application of the Lonsdorf model at a field scale to predict trends in pollination service provisioning as a factor of local habitat features. With sufficiently detailed inputs, the Lonsdorf model is a promising tool to quantify field scale pollination service deficits, guiding more cost effective habitat supplementation and other conservation efforts.
Keywords:
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