Civil airports from a landscape perspective: A multi-scale approach with implications for reducing bird strikes

Collisions between birds and aircraft are a global problem that jeopardizes human safety and causes economic losses. Although landscape features have been suggested as one of a number of factors contributing to bird strikes, no evidence exists to support this suggestion. We investigated the effects of landscape structure on the adverse effect (AE) bird strike rate at 98 civil airports in the United States. The number of reported AE bird strikes was standardized by air carrier movements between 2009 and 2015. Land use structure and composition were quantified within 3, 8, and 13 km radii extents from airports. We predicted large amounts and close arrangements of aquatic habitat, open space, and high landscape diversity would positively influence the AE strike rate based on the habitat requirements of many species hazardous to aviation. The rate of AE bird strikes was positively influenced by large areas and close proximity of wetlands, water, and cultivated crops at the 8- and 13- km extents. Within 3 km of an airport, increasing landscape diversity and the amount of crop area increased the strike rate. We conclude that landscape structure and composition are predictors of the AE bird strike rate at multiple spatial scales. Our results can be used to promote collaborative management among wildlife professionals, airport planners, and landowners near airports to create an environment with a lower probability of an AE bird strike. Specific priorities are to minimize the area of crops, especially corn, and increase the distances between patches of open water

Estimating Interspecific Economic Risk of Bird Strikes With Aircraft

The International Civil Aviation Organization promotes prioritization of wildlife management on airports, among other safety issues, by emphasizing the risk of wildlife–aircraft collisions (strikes). In its basic form, strike risk comprises a frequency component (i.e., how often strikes occur) and a severity component reflecting the cost of the incident. However, there is no widely accepted formula for estimating strike risk. Our goal was to develop a probabilistic risk metric that is adaptable for airports to use. Our specific objectives were to 1) update species-specific, relative hazard scores (i.e., the likelihood of aircraft damage or effect on flight when strikes occur) using recent U.S. Federal Aviation Administration (FAA) wildlife strike data (2010–2015); 2) develop 4 a priori risk models, reflecting species-specific strike data and updated relative hazard scores; 3) test these models against independent data (monetary costs associated with strikes); and 4) apply our best model to strike data from 4 large, FAA-certificated airports to illustrate its application at the local level. Our best-fitting risk model included an independent variable that was an interaction of quadratic transformed relative hazard score and number of wildlife strikes (r2=0.74). Top species in terms of estimated risk nationally were red-tailed hawk (Buteo jamaicensis), Canada goose (Branta canadensis), turkey vulture (Cathartes aura), rock pigeon (Columba livia), and mourning dove (Zenaida macroura). We found substantial overlap among the top 5 riskiest species locally across 3 of 4 airports considered, illustrating the degree of site specific differences that affect risk. Strike risk is dynamic; therefore, future work on risk estimation should allow for model adjustment to reflect ongoing wildlife management actions at airports that could influence future strike risk. Published 2018. This article is a U.S. Government work and is in the public domain in the USA

Civil airports from a landscape perspective: A multi-scale approach with implications for reducing bird strikes

Collisions between birds and aircraft are a global problem that jeopardizes human safety and causes economic losses. Although landscape features have been suggested as one of a number of factors contributing to bird strikes, no evidence exists to support this suggestion. We investigated the effects of landscape structure on the adverse effect (AE) bird strike rate at 98 civil airports in the United States. The number of reported AE bird strikes was standardized by air carrier movements between 2009 and 2015. Land use structure and composition were quantified within 3, 8, and 13 km radii extents from airports. We predicted large amounts and close arrangements of aquatic habitat, open space, and high landscape diversity would positively influence the AE strike rate based on the habitat requirements of many species hazardous to aviation. The rate of AE bird strikes was positively influenced by large areas and close proximity of wetlands, water, and cultivated crops at the 8- and 13- km extents. Within 3 km of an airport, increasing landscape diversity and the amount of crop area increased the strike rate. We conclude that landscape structure and composition are predictors of the AE bird strike rate at multiple spatial scales. Our results can be used to promote collaborative management among wildlife professionals, airport planners, and landowners near airports to create an environment with a lower probability of an AE bird strike. Specific priorities are to minimize the area of crops, especially corn, and increase the distances between patches of open water

The impact of the COVID‑19 pandemic on wildlife–aircraft collisions at US airports

Exploiting unprecedented reductions in aircraft movements caused by the COVID-19 pandemic, we investigated the relationship between air traffic volume and the frequency of wildlife-aircraft collisions, or wildlife strikes, at the 50 largest airports in the United States. During the COVID- 19 months of 2020 (March–December), both air traffic volume and the absolute number of wildlife strikes were reduced. The net effect of these two movements, however, was an increase in the wildlife strike rate from May 2020–September 2020. This increase was found to be most pronounced at airports with larger relative declines in air traffic volume. We concluded that the observed increase in the wildlife strike rate was, at least in part, generated by risk-enhancing changes in wildlife abundance and behavior within the airport environment. That is, wildlife became more abundant and active at airports in response to declines in air traffic volume

Estimating Interspecific Economic Risk of Bird Strikes With Aircraft

The International Civil Aviation Organization promotes prioritization of wildlife management on airports, among other safety issues, by emphasizing the risk of wildlife–aircraft collisions (strikes). In its basic form, strike risk comprises a frequency component (i.e., how often strikes occur) and a severity component reflecting the cost of the incident. However, there is no widely accepted formula for estimating strike risk. Our goal was to develop a probabilistic risk metric that is adaptable for airports to use. Our specific objectives were to 1) update species-specific, relative hazard scores (i.e., the likelihood of aircraft damage or effect on flight when strikes occur) using recent U.S. Federal Aviation Administration (FAA) wildlife strike data (2010–2015); 2) develop 4 a priori risk models, reflecting species-specific strike data and updated relative hazard scores; 3) test these models against independent data (monetary costs associated with strikes); and 4) apply our best model to strike data from 4 large, FAA-certificated airports to illustrate its application at the local level. Our best-fitting risk model included an independent variable that was an interaction of quadratic transformed relative hazard score and number of wildlife strikes (r2=0.74). Top species in terms of estimated risk nationally were red-tailed hawk (Buteo jamaicensis), Canada goose (Branta canadensis), turkey vulture (Cathartes aura), rock pigeon (Columba livia), and mourning dove (Zenaida macroura). We found substantial overlap among the top 5 riskiest species locally across 3 of 4 airports considered, illustrating the degree of site specific differences that affect risk. Strike risk is dynamic; therefore, future work on risk estimation should allow for model adjustment to reflect ongoing wildlife management actions at airports that could influence future strike risk. Published 2018. This article is a U.S. Government work and is in the public domain in the USA