The effects of radar on avian behavior: Implications for wildlife management at airports

Sheridan, Eleanor; Randolet, Jacquelyn; DeVault, Travis L.; Seamans, Thomas W.; Blackwell, Bradley F.; Fernández‐Juricic, Esteban

doi:10.1016/j.applanim.2015.08.001

Cited by 11 publications

(10 citation statements)

References 63 publications

(55 reference statements)

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“…Previous studies investigating the effects of onboard vehicle lighting on bird avoidance behaviours also have shown differential alert responses across lighting treatments, with little effect on flight responses (Blackwell et al , 2012Doppler et al 2015; but see Sheridan et al 2015). Furthermore, our current results are inconsistent with findings from a recent study involving simulated vehicle approaches towards Rock Pigeons (Columba livia Gmelin, 1789).…”

Section: Discussioncontrasting

confidence: 57%

Individual variation in avian avoidance behaviours in response to repeated, simulated vehicle approach

DeVault¹,

Seamans²,

Blackwell³

et al. 2018

Can. J. Zool.

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Birds exhibit variation in alert and flight behaviours in response to vehicles within and between species, but it is unclear how properties inherent to individuals influence variation in avoidance responses over time. We examined individual variation in avoidance behaviours of Brown-headed Cowbirds (Molothrus ater (Boddaert, 1783)) in response to repeated presentation of a simulated vehicle approach in a video playback scenario. We modeled temporal alert and flight behaviours to determine whether overall behavioural variation resulted primarily from variation within individuals (i.e., intraindividual variation) or between individuals (i.e., interindividual variation). We examined reaction norms (individual × treatment day) and whether birds showed plasticity in responses via habituation or sensitization. Repeatability in the response metrics for individuals was low (ϳ0.22 for alert and flight), indicating that model variation was due primarily to within-individual variation rather than between-individual variation. We observed sensitization in alert responses over time, but no sensitization or habituation in flight responses. Our results indicate that individuals learned to anticipate the vehicle approach but did not vary their escape behaviour, suggesting that alert and flight behaviours might be affected differently by cues associated with oncoming objects or experience with them. We consider our findings in light of the ongoing development of strategies to reduce animal-vehicle collisions.Key words: behaviour, bird strike, Brown-headed Cowbird, collision, Molothrus ater, repeatability, sensitization. (Boddaert, 1783)) en réponse à la présentation répétée d'une approche de véhicule simulée dans un scénario de reprise vidéo. Nous avons modélisé les comportements d'alerte et de fuite dans le temps afin de déterminer si les variations comportementales globales résultaient principalement de variations intraindividuelles ou interindividuelles. Nous avons examiné les normes de réaction (individu × jour du traitement) et si les réactions des oiseaux présentaient une plasticité sous forme d'accoutumance ou de sensibilisation. La répétabilité des mesures de réaction pour les individus était faible (ϳ0,22 pour l'alerte et la fuite), ce qui indique que les variations modélisées étaient principalement dues à des variations intraindividuelles plutôt qu'interindividuelles. Nous avons noté une sensibilisation dans les réactions d'alerte avec le temps, mais aucune sensibilisation ou accoutumance dans les réactions de fuite. Nos résultats indiquent que les individus ont appris à anticiper l'approche d'un véhicule, mais n'ont pas modifié leur comportement d'échappement, ce qui porte à croire que les comportements d'alerte et de fuite des oiseaux pourraient être influencés différemment par des signaux associés à des objets se dirigeant vers eux ou par leur expérience individuelle de tels signaux. Nous discutons de nos constatations dans le contexte de l'élaboration de stratégies pour réduire les collisions entre animau...

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Section: Discussioncontrasting

confidence: 57%

Individual variation in avian avoidance behaviours in response to repeated, simulated vehicle approach

DeVault¹,

Seamans²,

Blackwell³

et al. 2018

Can. J. Zool.

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“…e French company ales has successfully developed an advanced surface navigation guidance and control system, which has been put into use in many airports [11]. After the system receives information from multiple monitoring devices and performs data fusion, the positioning accuracy can reach within 10 m. It exchanges information with other devices through related interfaces so that multiple systems in the scene can coordinate operation.…”

Section: Related Workmentioning

confidence: 99%

Research on Channel Optimization of Ads‐B Aviation Target Surveillance Radar Based on Improved Filtering Algorithm

Zheng¹,

Tang²,

2021

Complexity

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In order to improve the surveillance effect of the aviation target surveillance radar, this paper improves the traditional filtering algorithm and builds the channel optimization system of the ADS-B aviation target surveillance radar based on the improved filtering algorithm. Moreover, this paper uses algorithm improvement to ensure the positive definite or semipositive definiteness of the state covariance and uses the root mean square volume Kalman filter to avoid the filter divergence or tracking interruption caused by the nonpositive definiteness of the matrix; the filtering principle of the interactive multimodel is to use multiple filters for parallel processing and achieve the adaptive adjustment algorithm residual error by adjusting the one-step prediction covariance in the adjustment algorithm. In addition, this paper combines the actual needs to construct a system functional structure to optimize the channel of the ADS-B aviation target surveillance radar and uses software engineering methods to model and analyze the requirements. Finally, this paper designs experiments to verify system performance. The research results show that the performance of the system constructed in this paper meets actual needs.

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“…Various studies on bird reactions to approaching aircraft have been performed to study the options of reducing strikes by enhancing the perceivability of the aircraft (e.g., [72][73][74][75][76][77]). They commonly concluded that many bird species try to avoid collisions with aircraft.…”

Section: Aircraft-related Mitigation Measuresmentioning

confidence: 99%

The Bird Strike Challenge

et al. 2020

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Collisions between birds and aircraft pose a severe threat to aviation and avian safety. To understand and prevent these bird strikes, knowledge about the factors leading to these bird strikes is vital. However, even though it is a global issue, data availability strongly varies and is difficult to put into a global picture. This paper aims to close this gap by providing an in-depth review of studies and statistics to obtain a concise overview of the bird strike problem in commercial aviation on an international level. The paper illustrates the factors contributing to the occurrence and the potential consequences in terms of effect on flight and damage. This is followed by a presentation of the risk-reducing measures currently in place as well as their limitations. The paper closes with an insight into current research investigating novel methods to prevent bird strikes.

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The effects of radar on avian behavior: Implications for wildlife management at airports

Cited by 11 publications

References 63 publications

Individual variation in avian avoidance behaviours in response to repeated, simulated vehicle approach

Individual variation in avian avoidance behaviours in response to repeated, simulated vehicle approach

Research on Channel Optimization of Ads‐B Aviation Target Surveillance Radar Based on Improved Filtering Algorithm

The Bird Strike Challenge

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