2021
DOI: 10.1002/ece3.7235
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Roost sites of chimney swift (Chaetura pelagica) form large‐scale spatial networks

Abstract: Habitat loss is a primary driver of species population declines (Brown & Paxton, 2009;Schmiegelow & Mönkkönen, 2002;Stuart et al., 2004), and many conservation efforts are focused on the identification, restoration, and protection of important habitats or landscape features to combat the impacts of these losses. Despite these efforts, landscapes continue to change, and important wildlife habitats continue to be lost. Not only has space become a limiting factor for some species' survival, but resources for effo… Show more

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Cited by 8 publications
(7 citation statements)
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“…In this case, a stochastic network was characterized as a graph consisting of breeding locations (nodes) connected via immigration (directional edges) and fidelity (self‐loops). Using network analysis can improve our understanding of the characteristics of breeding locations and connectivity of spatially distinct breeding areas at a fine scale, allowing for empirical tests of habitat selection and identifying key areas to conserve (e.g., le Roux & Nocera, 2021). Management actions to improve habitat quality, such as vegetation removal or predator control, could be targeted to specific areas by identifying nodes with high connectivity values from the network graphs (Swift et al, 2023).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In this case, a stochastic network was characterized as a graph consisting of breeding locations (nodes) connected via immigration (directional edges) and fidelity (self‐loops). Using network analysis can improve our understanding of the characteristics of breeding locations and connectivity of spatially distinct breeding areas at a fine scale, allowing for empirical tests of habitat selection and identifying key areas to conserve (e.g., le Roux & Nocera, 2021). Management actions to improve habitat quality, such as vegetation removal or predator control, could be targeted to specific areas by identifying nodes with high connectivity values from the network graphs (Swift et al, 2023).…”
Section: Discussionmentioning
confidence: 99%
“…Habitat fragmentation and loss can influence connectivity among habitat patches by changing the spatial structure of the habitat network, such as through the removal of highly connected patches (i.e., hubs; Masier & Bonte, 2020). Habitat loss has been implicated in population declines for numerous species (Fahrig, 2001; Johnson, 2007; le Roux & Nocera, 2021), so an improved understanding of how individuals select habitats over both space and time, and differences between individuals immigrating to new areas and those with site fidelity is critical to effectively manage habitats.…”
Section: Introductionmentioning
confidence: 99%
“…Understanding sleep behavioural decisions is important to fully comprehend their impact on ecological dynamics, including resource acquisition [15], mating [16] and mechanisms reducing predation risk [17]. Moreover, integrating social network analysis (SNA), which elucidates the spatial structure and implications for behaviour [18,19], allows for a more comprehensive evaluation of the consequences of spatial behaviours on social dynamics and network connectivity [20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…Wildlife use a variety of anthropogenic structures as habitat including roofs, [25][26][27][28][29] crawl spaces and under floorboards, 25,30 chimneys, 31,32 bridges, [33][34][35] road culverts, 33,34 dumpsters, 36 and power line pylons. 37,38 Some species live in these structures occasionally while others rely on them as primary habitation.…”
Section: Introductionmentioning
confidence: 99%