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Woodland-mediated predator impacts on open ground birds


Funder Natural Environment Research Council
Recipient Organization University of York
Country United Kingdom
Start Date Sep 30, 2022
End Date Sep 29, 2026
Duration 1,460 days
Number of Grantees 2
Roles Student; Supervisor
Data Source UKRI Gateway to Research
Grant ID 2751642
Grant Description

Government policies are driving UK woodland expansion, especially in the uplands. Expanding woodland has benefits, but previous upland afforestation has impacted open ground biodiversity including waders. Policy formulation requires improved understanding of the biodiversity trade-offs associated with

woodland expansion. The student will combine fieldwork and statistical modelling to develop predictive models of avian biodiversity responses to woodland expansion, supplementing fieldwork with analysis of existing long-term biodiversity datasets addressing woodland expansion. Mechanistic understanding requires considering predation-mediated woodland edge effects from

mesopredators like foxes. Breeding failure due to predation is driving wader declines, with some species globally threatened. Reducing predation in upland landscapes often involves culling, which is costly, controversial and of debatable effectiveness. Recovering apex predators might discourage mesopredator use of open upland habitats and potentially reduce wader predation, but the potential for

this to mitigate impacts of woodland expansion remains untested. The student will field-test this concept by tracking predators and quantifying wader predation and productivity in the field. A key test will be quantifying the distance over which predation-mediated woodland edge effects occur. This project is topical and timely, because upland afforestation is accelerating, while waders are

declining. Understanding the mechanisms linking woodland expansion, mesopredators and waders will help target afforestation programmes to maximise the benefits and minimise impacts on waders.

All Grantees

University of York

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