A platform for research: civil engineering, architecture and urbanism
Urban predator–prey association: coyote and deer distributions in the Chicago metropolitan area
Abstract We examined how predator or prey presence, as well as local and landscape factors, influence the distribution of coyotes (Canis latrans) and white-tailed deer (Odocoileus virginianus) in the Chicago metropolitan area. We collected data for 2 years at 93 study sites along 3 transects of urbanization using motion-triggered cameras. Our primary objective was to determine the relationship among coyote and deer spatial and temporal distribution, habitat characteristics, and human activity using multi-season patch occupancy models. Coyote occupancy was most strongly linked to rates of site visitation by humans and dogs, and was more likely farther from the urban center, with coyote colonization of sites inversely related to road density, housing density, and human and dog site visitation. Deer more frequently occupied sites with high canopy cover near water sources and colonized smaller sites with reduced housing density and human and dog presence. Expected predator–prey dynamics were altered in this highly urban system. Though we predicted deer would avoid coyotes on the landscape based on an “ecology of fear” framework, deer and coyote occupancy showed a strong positive association. We suggest that a scarcity of quality habitat in urban areas may cause the species to co-occupy habitat despite potential fawn predation. Modifying human foot traffic in green spaces may represent a useful tool for management and conservation of large urban mammals.
Urban predator–prey association: coyote and deer distributions in the Chicago metropolitan area
Abstract We examined how predator or prey presence, as well as local and landscape factors, influence the distribution of coyotes (Canis latrans) and white-tailed deer (Odocoileus virginianus) in the Chicago metropolitan area. We collected data for 2 years at 93 study sites along 3 transects of urbanization using motion-triggered cameras. Our primary objective was to determine the relationship among coyote and deer spatial and temporal distribution, habitat characteristics, and human activity using multi-season patch occupancy models. Coyote occupancy was most strongly linked to rates of site visitation by humans and dogs, and was more likely farther from the urban center, with coyote colonization of sites inversely related to road density, housing density, and human and dog site visitation. Deer more frequently occupied sites with high canopy cover near water sources and colonized smaller sites with reduced housing density and human and dog presence. Expected predator–prey dynamics were altered in this highly urban system. Though we predicted deer would avoid coyotes on the landscape based on an “ecology of fear” framework, deer and coyote occupancy showed a strong positive association. We suggest that a scarcity of quality habitat in urban areas may cause the species to co-occupy habitat despite potential fawn predation. Modifying human foot traffic in green spaces may represent a useful tool for management and conservation of large urban mammals.
Urban predator–prey association: coyote and deer distributions in the Chicago metropolitan area
Magle, Seth B. (author) / Simoni, Leah S. (author) / Lehrer, Elizabeth W. (author) / Brown, Joel S. (author)
Urban Ecosystems ; 17
2014
Article (Journal)
Electronic Resource
English
BKL:
43.31
Naturschutz
/
42.90$jÖkologie: Allgemeines
/
43.31$jNaturschutz
/
42.90
Ökologie: Allgemeines
/
74.12
Stadtgeographie, Siedlungsgeographie
/
74.12$jStadtgeographie$jSiedlungsgeographie
Optimal Land Use Regulation for Human–Coyote Conflicts in the Denver Metropolitan Area
DOAJ | 2022
|Developments towards urban water sustainability in the Chicago metropolitan area
British Library Conference Proceedings | 2007
|Association between Telecommuting and Household Travel in the Chicago Metropolitan Area
Online Contents | 2016
|Association between Telecommuting and Household Travel in the Chicago Metropolitan Area
Online Contents | 2016
|