Predicting when animal populations are at risk from roads: an interactive model of road avoidance behavior

Jochen Jaeger, Jeff Bowmann, Julie Brennan, Lenore Fahrig, Dan Bert, Julie Bouchard, Neil Charbonneau, Karin Frank, Bernd Gruber, Katharina Tluk von Toschanowitz

Research output: Contribution to journalArticle

240 Citations (Scopus)

Abstract

Roads and traffic affect animal populations detrimentally in four ways: they decrease habitat amount and quality, enhance mortality due to collisions with vehicles, prevent access to resources on the other side of the road, and subdivide animal populations into smaller and more vulnerable fractions. Roads will affect persistence of animal populations differently depending on (1) road avoidance behavior of the animals (i.e., noise avoidance, road surface avoidance, and car avoidance); (2) population sensitivity to the four road effects; (3) road size; and (4) traffic volume. We have created a model based on these population and road characteristics to study the questions: (1) what types of road avoidance behaviors make populations more vulnerable to roads?; (2) what types of roads have the greatest impact on population persistence?; and (3) how much does the impact of roads vary with the relative population sensitivity to the four road effects?

Our results suggest that, in general, the most vulnerable populations are those with high noise and high road surface avoidance, and secondly, those with high noise avoidance only. Conversely, the least vulnerable populations are those with high car avoidance only, and secondly, high road surface and high car avoidance. Populations with low overall road avoidance and those with high overall road avoidance tend to respond in opposite ways when the sensitivity to the four road effects is varied. The same is true of populations with high road surface avoidance when compared to those with high car and high noise avoidance. The model further predicted that traffic volume has a larger effect than road size on the impact of roads on population persistence. One potential application of our model (to run the model on the web or to download it go to www.glel.carleton.ca/ or www.nls.ethz.ch/roadmodel/index.htm or contact the first author) is to generate predictions for more structured field studies of road avoidance behavior and its influence on persistence of wildlife populations
Original languageEnglish
Pages (from-to)329-348
Number of pages20
JournalEcological Modelling
Volume185
Issue number2
DOIs
Publication statusPublished - 2005
Externally publishedYes

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animal population
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Jaeger, J., Bowmann, J., Brennan, J., Fahrig, L., Bert, D., Bouchard, J., ... Tluk von Toschanowitz, K. (2005). Predicting when animal populations are at risk from roads: an interactive model of road avoidance behavior. Ecological Modelling, 185(2), 329-348. https://doi.org/10.1016/j.ecolmodel.2004.12.015
Jaeger, Jochen ; Bowmann, Jeff ; Brennan, Julie ; Fahrig, Lenore ; Bert, Dan ; Bouchard, Julie ; Charbonneau, Neil ; Frank, Karin ; Gruber, Bernd ; Tluk von Toschanowitz, Katharina. / Predicting when animal populations are at risk from roads: an interactive model of road avoidance behavior. In: Ecological Modelling. 2005 ; Vol. 185, No. 2. pp. 329-348.
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abstract = "Roads and traffic affect animal populations detrimentally in four ways: they decrease habitat amount and quality, enhance mortality due to collisions with vehicles, prevent access to resources on the other side of the road, and subdivide animal populations into smaller and more vulnerable fractions. Roads will affect persistence of animal populations differently depending on (1) road avoidance behavior of the animals (i.e., noise avoidance, road surface avoidance, and car avoidance); (2) population sensitivity to the four road effects; (3) road size; and (4) traffic volume. We have created a model based on these population and road characteristics to study the questions: (1) what types of road avoidance behaviors make populations more vulnerable to roads?; (2) what types of roads have the greatest impact on population persistence?; and (3) how much does the impact of roads vary with the relative population sensitivity to the four road effects?Our results suggest that, in general, the most vulnerable populations are those with high noise and high road surface avoidance, and secondly, those with high noise avoidance only. Conversely, the least vulnerable populations are those with high car avoidance only, and secondly, high road surface and high car avoidance. Populations with low overall road avoidance and those with high overall road avoidance tend to respond in opposite ways when the sensitivity to the four road effects is varied. The same is true of populations with high road surface avoidance when compared to those with high car and high noise avoidance. The model further predicted that traffic volume has a larger effect than road size on the impact of roads on population persistence. One potential application of our model (to run the model on the web or to download it go to www.glel.carleton.ca/ or www.nls.ethz.ch/roadmodel/index.htm or contact the first author) is to generate predictions for more structured field studies of road avoidance behavior and its influence on persistence of wildlife populations",
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Jaeger, J, Bowmann, J, Brennan, J, Fahrig, L, Bert, D, Bouchard, J, Charbonneau, N, Frank, K, Gruber, B & Tluk von Toschanowitz, K 2005, 'Predicting when animal populations are at risk from roads: an interactive model of road avoidance behavior', Ecological Modelling, vol. 185, no. 2, pp. 329-348. https://doi.org/10.1016/j.ecolmodel.2004.12.015

Predicting when animal populations are at risk from roads: an interactive model of road avoidance behavior. / Jaeger, Jochen; Bowmann, Jeff; Brennan, Julie; Fahrig, Lenore; Bert, Dan; Bouchard, Julie; Charbonneau, Neil; Frank, Karin; Gruber, Bernd; Tluk von Toschanowitz, Katharina.

In: Ecological Modelling, Vol. 185, No. 2, 2005, p. 329-348.

Research output: Contribution to journalArticle

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T1 - Predicting when animal populations are at risk from roads: an interactive model of road avoidance behavior

AU - Jaeger, Jochen

AU - Bowmann, Jeff

AU - Brennan, Julie

AU - Fahrig, Lenore

AU - Bert, Dan

AU - Bouchard, Julie

AU - Charbonneau, Neil

AU - Frank, Karin

AU - Gruber, Bernd

AU - Tluk von Toschanowitz, Katharina

PY - 2005

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N2 - Roads and traffic affect animal populations detrimentally in four ways: they decrease habitat amount and quality, enhance mortality due to collisions with vehicles, prevent access to resources on the other side of the road, and subdivide animal populations into smaller and more vulnerable fractions. Roads will affect persistence of animal populations differently depending on (1) road avoidance behavior of the animals (i.e., noise avoidance, road surface avoidance, and car avoidance); (2) population sensitivity to the four road effects; (3) road size; and (4) traffic volume. We have created a model based on these population and road characteristics to study the questions: (1) what types of road avoidance behaviors make populations more vulnerable to roads?; (2) what types of roads have the greatest impact on population persistence?; and (3) how much does the impact of roads vary with the relative population sensitivity to the four road effects?Our results suggest that, in general, the most vulnerable populations are those with high noise and high road surface avoidance, and secondly, those with high noise avoidance only. Conversely, the least vulnerable populations are those with high car avoidance only, and secondly, high road surface and high car avoidance. Populations with low overall road avoidance and those with high overall road avoidance tend to respond in opposite ways when the sensitivity to the four road effects is varied. The same is true of populations with high road surface avoidance when compared to those with high car and high noise avoidance. The model further predicted that traffic volume has a larger effect than road size on the impact of roads on population persistence. One potential application of our model (to run the model on the web or to download it go to www.glel.carleton.ca/ or www.nls.ethz.ch/roadmodel/index.htm or contact the first author) is to generate predictions for more structured field studies of road avoidance behavior and its influence on persistence of wildlife populations

AB - Roads and traffic affect animal populations detrimentally in four ways: they decrease habitat amount and quality, enhance mortality due to collisions with vehicles, prevent access to resources on the other side of the road, and subdivide animal populations into smaller and more vulnerable fractions. Roads will affect persistence of animal populations differently depending on (1) road avoidance behavior of the animals (i.e., noise avoidance, road surface avoidance, and car avoidance); (2) population sensitivity to the four road effects; (3) road size; and (4) traffic volume. We have created a model based on these population and road characteristics to study the questions: (1) what types of road avoidance behaviors make populations more vulnerable to roads?; (2) what types of roads have the greatest impact on population persistence?; and (3) how much does the impact of roads vary with the relative population sensitivity to the four road effects?Our results suggest that, in general, the most vulnerable populations are those with high noise and high road surface avoidance, and secondly, those with high noise avoidance only. Conversely, the least vulnerable populations are those with high car avoidance only, and secondly, high road surface and high car avoidance. Populations with low overall road avoidance and those with high overall road avoidance tend to respond in opposite ways when the sensitivity to the four road effects is varied. The same is true of populations with high road surface avoidance when compared to those with high car and high noise avoidance. The model further predicted that traffic volume has a larger effect than road size on the impact of roads on population persistence. One potential application of our model (to run the model on the web or to download it go to www.glel.carleton.ca/ or www.nls.ethz.ch/roadmodel/index.htm or contact the first author) is to generate predictions for more structured field studies of road avoidance behavior and its influence on persistence of wildlife populations

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