Factors affecting the permeability of transportation and riparian corridors to the movements of songbirds in an urban landscape

被引:77
作者
Tremblay, Marie A. [1 ]
St Clair, Colleen C. [1 ]
机构
[1] Univ Alberta, Dept Biol Sci, Edmonton, AB T6G 2E9, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
cities; fragmentation; landscape connectivity; linear features; mixed effects models; mobbing behaviour; railways; rivers; roads; seasons; GAP-CROSSING DECISIONS; RAIN-FOREST BIRDS; MOBBING CALLS; UNDERSTORY BIRDS; TRAFFIC VOLUME; PREDATION RISK; ROADS; CONNECTIVITY; POPULATIONS; MORTALITY;
D O I
10.1111/j.1365-2664.2009.01717.x
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
P>1. Linear features associated with transportation and riparian corridors are known to inhibit the mobility of birds and other wildlife, yet the factors contributing to their barrier effects are poorly understood. The diversity of roads in urban landscapes provides an opportunity for elucidating the relative importance of factors such as noise, traffic volume, gap width and adjacent vegetation on animal movement. 2. Using an avian mobbing call as a lure, we tested the willingness of forest songbirds to cross four types of linear features in the urban landscape of Calgary, Alberta, Canada: (1) roads of varying widths and traffic volumes, (2) conventional railways and light transit lines, (3) transportation bridges across riparian corridors, and (4) rivers. 3. Using mixed effects logistic regression, we found that the size of the gap in vegetation was the most important determinant of movement (P < 0 center dot 001). As the gap in vegetation exceeded 30 m, the likelihood of movement decreased dramatically and by 45 m, birds were only half as likely to move across gaps as they were to move an equivalent distance in continuous tree cover. Traffic volume also had a significant dampening effect on movement (odds ratio = 0 center dot 952 per 1000 vehicle per day increase; P < 0 center dot 001) and generally explained more variation in the data than noise levels. 4. Railroads proved to be the most permeable of the features we tested, probably owing to their relatively narrow width, which never exceeded 30 m. Surprisingly, rivers were less permeable than the anthropogenic linear features we tested, with a significant barrier effect evident even at widths < 50 m. 5. The birds in our study showed a marked preference for flying over, rather than under, transportation bridges, particularly when adjacent vegetation was available. 6.Synthesis and applications. Our results suggest that linear features, both anthropogenic and natural, can significantly impede the movements of forest songbirds and that managing adjacent vegetation is a potentially effective way to mitigate these barrier effects in cities and other fragmented landscapes.
引用
收藏
页码:1314 / 1322
页数:9
相关论文
共 51 条
[1]   Traffic volume and highway permeability for a mammalian community in the Canadian Rocky Mountains [J].
Alexander, SM ;
Waters, NM ;
Paquet, PC .
CANADIAN GEOGRAPHER-GEOGRAPHE CANADIEN, 2005, 49 (04) :321-331
[2]  
[Anonymous], 2008, Multilevel and longitudinal modeling using Stata, DOI DOI 10.1093/GERONI/IGZ038.1816
[3]   Using gap-crossing capacity to evaluate functional connectivity of two Atlantic rainforest birds and their response to fragmentation [J].
Awade, Marcelo ;
Metzger, Jean Paul .
AUSTRAL ECOLOGY, 2008, 33 (07) :863-871
[4]   Measuring landscape connectivity:: The challenge of behavioral landscape ecology [J].
Bélisle, M .
ECOLOGY, 2005, 86 (08) :1988-1995
[5]   Gap-crossing decisions by forest birds:: an empirical basis for parameterizing spatially-explicit, individual-based models [J].
Bélisle, M ;
Desrochers, A .
LANDSCAPE ECOLOGY, 2002, 17 (03) :219-231
[6]  
Benn B, 2002, URSUS, V13, P213
[7]   Importance of interhabitat gaps and stepping-stones for lesser woodcreepers (Xiphorhynchus fuscus) in the Atlantic forest, Brazil [J].
Boscolo, Danilo ;
Candia-Gallardo, Carlos ;
Awade, Marcelo ;
Metzger, Jean Paul .
BIOTROPICA, 2008, 40 (03) :273-276
[8]   Evaluating resource selection functions [J].
Boyce, MS ;
Vernier, PR ;
Nielsen, SE ;
Schmiegelow, FKA .
ECOLOGICAL MODELLING, 2002, 157 (2-3) :281-300
[9]  
Burnham K. P., 2002, Model selection and multimodel inference
[10]  
CALLAGHAN CJ, 2002, THESIS U GUELPH ONTA