Abstract

There are standard procedures for collecting data on numbers of birds at sites being proposed for wind farm development and evaluating collision risk for each key species. However, methods do not work well for all species. Where a local bird population is depleted, empirical data cannot provide estimates of likely collision mortality numbers if that population returns to satisfactory conservation status. Field survey methods are also inadequate for cryptic bird species. Both these problems can be important for evaluation of impacts of proposed wind farms on bird populations protected by the EU Birds Directive. We present an alternative method, based on energy constrained activity budgets and natural history, which permits assessment of likely collision numbers where empirical data are inadequate. Two case studies are presented where this approach has been successfully used to resolve disputed planning applications, one for a hen harrier population where numbers present are much below the population size at designation, and one for a cryptic species (greenshank). Our novel method helps reduce uncertainty in assessments constrained by difficulties in collecting suitable empirical data.

Highlights

  • The European Union (EU) requires at least 20% of its total energy needs to be produced by renewable sourcesHow to cite this paper: Furness, R.W., Trinder, M., MacArthur, D. and Douse, A. (2016) A Theoretical Approach to Estimating Bird Risk of Collision with Wind Turbines Where Empirical Flight Activity Data Are Lacking

  • Scenario modelling may have a number of useful applications for developers and SNCBs: it could be used as an early screening tool in the assessment of sensitivity of a site to collisions affecting bird populations, it could be used to increase the robustness of Ecological Impact Assessment (EcIA) and Habitats Regulations Assessment (HRA), and an agreed standardised approach could help to reduce uncertainty in impact assessments, and help to reduce delays in planning

  • This approach was helpful to the developers and statutory nature conservation advisors in presenting a range of plausible outcomes despite the short-comings of empirical vantage point data on flight activity budgets

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Summary

Introduction

The European Union (EU) requires at least 20% of its total energy needs to be produced by renewable sources. Our theoretical approach is founded on the metabolic constraint to flight activity in birds which sets a ceiling on flight activity levels, coupled with information on seasonality of activity budgets, and scenario modelling of population densities and home range use This approach led to SNH withdrawing its objections to the Stranochand Kennoxhead wind farms by providing confidence that it would not affect the integrity of the respective SPAs and was presented by SNH to the public enquiry for Strathy South as a key part of their case regarding the adverse impact of that proposed development on the greenshank population of Caithness and Sutherland Peatlands SPA. Scenario modelling may have a number of useful applications for developers and SNCBs: it could be used as an early screening tool in the assessment of sensitivity of a site to collisions affecting bird populations, it could be used to increase the robustness of EcIAs and HRAs, and an agreed standardised approach (such as this) could help to reduce uncertainty in impact assessments, and help to reduce delays in planning

The Concept of a Metabolic Ceiling to Time Spent Flying
Setting the Flight Time Ceiling
Time Budgets Based on Natural History Knowledge
The Requirement for Scenario Modelling
Defining the Breeding Cycle of Breeding Hen Harriers
Defining the Foraging Range of Breeding Hen Harriers
Defining the Flight Seconds of Breeding Male and Female Hen Harriers
Defining the Activity Budget of Greenshanks
Defining Flight-Seconds of Breeding Greenshanks
Findings
Discussion
Full Text
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