ScienceShot: Urban Bird Behavior May Divide a Species

Hawk kite as potential bird scare device (the case of pigeons and grain processing factory)

Ukrainian Journal of Ecology ◽

10.15421/2018_350 ◽

2018 ◽

Vol 8 (2) ◽

pp. 334-336

Author(s):

A. V. Matsyura

Keyword(s):

Spatial Patterns ◽

Repellent Effect ◽

Preliminary Results ◽

Temporal And Spatial Patterns ◽

Grain Processing ◽

Feral Pigeons ◽

Temporal And Spatial ◽

Bird Behavior ◽

Hooded Crows

Here we presented the preliminary results of hawk kite usage against the feral pigeons in some grain processing factory. We studied the temporal and spatial patterns of repellent effect and bird behavior. We suggested the feral pigeons gradually increase the level of tolerance towards the hawk kite if no additional repellent measures were undertaken. Moreover, even initially the feral pigeons demonstrate higher tolerance towards the hawk kite compared to the Rooks or Hooded Crows.

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Faculty Opinions recommendation of Do domestic cats impose an unsustainable harvest on urban bird populations?

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.10058956.10802066 ◽

2011 ◽

Author(s):

Fred Adler

Keyword(s):

Domestic Cats ◽

Bird Populations ◽

Urban Bird

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Environmental conditions but not nest composition affect reproductive success in an urban bird

Ecology and Evolution ◽

10.1002/ece3.7234 ◽

2021 ◽

Vol 11 (7) ◽

pp. 3084-3092

Author(s):

Pablo Capilla‐Lasheras ◽

Blanca Bondía ◽

José I. Aguirre

Keyword(s):

Reproductive Success ◽

Environmental Conditions ◽

Urban Bird

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Analysis of Risk-Based Operational Bird Strike Prevention

Aerospace ◽

10.3390/aerospace8020032 ◽

2021 ◽

Vol 8 (2) ◽

pp. 32

Author(s):

Isabel C. Metz ◽

Joost Ellerbroek ◽

Thorsten Mühlhausen ◽

Dirk Kügler ◽

Jacco M. Hoekstra

Keyword(s):

Linear Regression ◽

Civil Aviation ◽

Future Research ◽

Bird Strike ◽

Center Line ◽

Simple Linear Regression ◽

Advisory System ◽

Risk Algorithm ◽

Bird Behavior ◽

Bird Tracks

Bird strike prevention in civil aviation has traditionally focused on the airport perimeter. Since the risk of especially damaging bird strikes outside the airport boundaries is rising, this paper investigates the safety potential of operational bird strike prevention involving pilots and controllers. In such a concept, controllers would be equipped with a bird strike advisory system, allowing them to delay departures which are most vulnerable to the consequences of bird strikes in case of high bird strike risk. An initial study has shown the strong potential of the concept to prevent bird strikes in case of perfect bird movement prediction. This paper takes the research to the next level by taking into account the limited predictability of bird tracks. As such, the collision avoidance algorithm is extended to a bird strike risk algorithm. The risk of bird strikes is calculated for birds expected to cross the extended runway center line and to cause aircraft damage upon impact. By specifically targeting these birds and excluding birds lingering on the runway which are taken care of by the local wildlife control, capacity reductions should be limited, and the implementation remain feasible. The extrapolation of bird tracks is performed by simple linear regression based on the bird positions known at the intended take-off times. To calculate the probability of collision, uncertainties resulting from variability in bird velocity and track are included. The study demonstrates the necessity to limit alerts to potentially damaging strikes with birds crossing the extended runway center line to keep the imposed delays tolerable for airports operating at their capacity limits. It is shown that predicting bird movements based on simple linear regression without considering individual bird behavior is insufficient to achieve a safety-effect. Hence, in-depth studies of multi-year bird data to develop bird behavior models and reliable predictions are recommended for future research. This is expected to facilitate the implementation of a bird strike advisory system satisfying both safety and capacity aspects.

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Urban Bird Feeding: Connecting People with Nature

PLoS ONE ◽

10.1371/journal.pone.0158717 ◽

2016 ◽

Vol 11 (7) ◽

pp. e0158717 ◽

Cited By ~ 54

Author(s):

Daniel T. C. Cox ◽

Kevin J. Gaston

Keyword(s):

Urban Bird

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Urban bird conservation: presenting stakeholder-specific arguments for the development of bird-friendly cities

Urban Ecosystems ◽

10.1007/s11252-015-0442-z ◽

2015 ◽

Vol 19 (4) ◽

pp. 1535-1550 ◽

Cited By ~ 11

Author(s):

Robbert PH Snep ◽

Jip Louwe Kooijmans ◽

Robert GM Kwak ◽

Ruud PB Foppen ◽

Holly Parsons ◽

...

Keyword(s):

Bird Conservation ◽

Urban Bird

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Borrelia burgdorferi Sensu Lato Spirochetes in Wild Birds in Northwestern California: Associations with Ecological Factors, Bird Behavior and Tick Infestation

PLoS ONE ◽

10.1371/journal.pone.0118146 ◽

2015 ◽

Vol 10 (2) ◽

pp. e0118146 ◽

Cited By ~ 29

Author(s):

Erica A. Newman ◽

Lars Eisen ◽

Rebecca J. Eisen ◽

Natalia Fedorova ◽

Jeomhee M. Hasty ◽

...

Keyword(s):

Borrelia Burgdorferi ◽

Tick Infestation ◽

Ecological Factors ◽

Wild Birds ◽

Borrelia Burgdorferi Sensu Lato ◽

Bird Behavior

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Long-term species richness-abundance dynamics in relation to species departures and arrivals in wintering urban bird assemblages

European Journal of Ecology ◽

10.2478/eje-2019-0002 ◽

2019 ◽

Vol 5 (1) ◽

pp. 1-10 ◽

Cited By ~ 1

Author(s):

Jukka Suhonen ◽

Jukka Jokimäki

Keyword(s):

Species Richness ◽

Bird Species ◽

Total Abundance ◽

Bird Species Richness ◽

Abundance Dynamics ◽

Local Species Richness ◽

Local Species ◽

The Mean ◽

Urban Bird ◽

Number Of Individuals

Abstract Temporal dynamics of local assemblages depend on the species richness and the total abundance of individuals as well as local departure and arrival rates of species. We used urban bird survey data collected from the same 31 study plots and methods during three winters (1991–1992; 1999–2000 and 2009–2010) to analyze the temporal relationship between bird species richness and total number of individuals (abundance). We also evaluated local departures and arrivals of species in each assemblage. In total, 13,812 individuals of 35 species were detected. The temporal variation in bird species richness followed the variation in the total number of individuals. The numbers of local departure and arrival events were similar. Also, the mean number of individuals of the recently arrived species (8.6) was almost the same as the mean number of individuals of the departed species (8.2). Risk of species departure was inversely related to number of individuals. Local species richness increased by one species when the total abundance of individuals increased by around 125 individuals and vice versa. Our results highlight the important role of local population departures and arrivals in determining the local species richness-abundance dynamics in human-dominated landscapes. Local species richness patterns depend on the total number of individuals as well as both the departure-arrival dynamics of individual species as well as the dynamics of all the species together. Our results support the more individuals hypothesis, which suggests that individual-rich assemblages have more species.

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Initial observation of human-bird vocal interactions in a zoological setting

10.7287/peerj.preprints.27927 ◽

2019 ◽

Author(s):

Rébecca Kleinberger ◽

Janet Baker ◽

Gabriel Miller

Keyword(s):

Artificial Intelligence ◽

Managed Care ◽

San Diego ◽

Large Datasets ◽

Initial Observation ◽

Bird Behavior ◽

Vocal Interactions

Vocal interactions between humans and non-human animals are pervasive, but studies are often limited to communication within species. Here, we conducted a pilot exploration of vocal interactions between visitors to the San Diego Zoo Safari Park and Sampson, an 18-year-old male Hyacinth Macaw residing near the entrance. Over the course of one hour, 82 vocal and behavioral events were recorded, and various relationships between human and bird behavior were noted. Analyses of this type, applied to large datasets with assistance from artificial intelligence, could be used to better understand the impacts, positive or negative, of human visitors on animals in managed care.

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