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How to prioritize measures to reduce the electrocutions of birds in distribution power line networks

delete2026-07-01
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M
Miguel Ferrer *
C
Carlos Florencio
R
Roberto Muriel
V
Virginia Morandini
J
Jorge García-Macía
DOI:10.1016/j.gecco.2026.e04318delete
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Abstract

Abstract

En 中文
The electrocution of birds on overhead distribution power lines is a well-known and widespread global conservation problem. Electrocution of birds never has a homogeneous distribution throughout the electrical grid, but a left-skewed distribution with a right tail of death concentrations. Here, we develop a predictive model for the distribution of electrical currents in a network of distribution power lines in northwest Spain, composed of 33,546 pylons. Our aim was to produce a model that predicts the occurrence of mortality on unsampled poles. We used technical or environmental predictors in our model. To determine which pylon and in what order to be retrofitted to optimize global mortality reduction in the network, we used a retrofit optimization model. The results demonstrated that with an intervention on 20% of the poles with the highest risk (6712 of 33,546 poles), we would achieve a reduction in the expected mortality for the entire network of more than 70%. To test the strength of the model in the field, we selected 1424 power poles classified by the predictive model as high- or low-risk poles to verify the precision of the predictions and conducted a fatality count. The results demonstrated that the a priori estimated order of priorization by the model and the mortality found after in the surveys were highly correlated. The risk classification and optimization model provides us with a procedure that will allow any power company anywhere to act with maximum efficiency, minimizing the risk of electrocution of birds in its facilities in the fastest way.
Keywords:
Accidents
Bird mortality
Optimization model
Electric grid
Priorization model
Raptor conservation
Retrofit mitigation
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Journal

Global Ecology and Conservation cover
Global Ecology and Conservation
IF:
3.4
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4.3K
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csic
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CIMA
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