2010
DOI: 10.1016/j.biocon.2010.05.025
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Matrix mediates avian movements in tropical forested landscapes: Inference from experimental translocations

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Cited by 51 publications
(46 citation statements)
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“…Our observation that the behavioral latency of translocated Northern Cardinal is affected by urban intensity is comparable to those of previous translocation experiments. For example, Kennedy et al (2010) found the return time and success of translocated American Redstart (Setophaga ruticilla) and Jamaican Todies (Todus todus) was dependent on human land use practices, with the days-to-return for individuals increasing with the intensity of anthropogenic habitat modification. In our study, Northern Cardinals were observed to have the shortest return time when moved across suburban habitats, habitats which likely represent high suitability for this species (see Evans, 2015).…”
Section: All Models Include Observer (Obs) As a Predictor Variable Fomentioning
confidence: 99%
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“…Our observation that the behavioral latency of translocated Northern Cardinal is affected by urban intensity is comparable to those of previous translocation experiments. For example, Kennedy et al (2010) found the return time and success of translocated American Redstart (Setophaga ruticilla) and Jamaican Todies (Todus todus) was dependent on human land use practices, with the days-to-return for individuals increasing with the intensity of anthropogenic habitat modification. In our study, Northern Cardinals were observed to have the shortest return time when moved across suburban habitats, habitats which likely represent high suitability for this species (see Evans, 2015).…”
Section: All Models Include Observer (Obs) As a Predictor Variable Fomentioning
confidence: 99%
“…For example, previous research using simulated territorial intrusion (Awade and Metzger, 2008), simulated predation threat (Bélisle and Desrochers, 2002), and radio-telemetry (Bayne and Hobson, 2001) have shown that forest bird species exhibit behavioral avoidance when crossing open habitats (i.e., gap-crossing decisions). At larger spatial scales, patterns of seed dispersal and translocation experiments have provided proximate evidence that birds utilize corridors of habitat when moving across fragmented landscapes (e.g., Haddad et al, 2003;Carlo et al, 2013) and that avian movement is impacted by the degree of human land use intensity (e.g., Kennedy et al, 2010). At still larger scales, graph models, which are network models in which landscapes are delineated into interconnected habitat patches, have provided a link between bird dispersal behavior and the structure and composition of landscapes (Bunn et al, 2000;Urban and Keitt, 2001;Minor and Urban, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…In addition, patches of forest habitat within atlas blocks with low forest cover might be less isolated in Vermont than in New York because surrounding atlas blocks offer patches within dispersal distance [17]. Finally, we might reason that forest composition and structure (forest quality) [16], [35], the quality of the matrix [66], [67] and the level of fragmentation [19], [68] differ between the two study regions and contribute to differences in threshold responses in New York and Vermont. Although fragmentation might play a role in species-habitat relationships it is becoming widely accepted that habitat amount per se is a better predictor of species distributions and responses than fragmentation [10], [27], [46].…”
Section: Discussionmentioning
confidence: 99%
“…Within the next decade seven large factories were set up in the elaka, thereby driving an exponential increase in the limestone demand which triggered large-scale mining ( Figure 5). Such mining activities which destroy forests 16 , and pollute the environment 36 not only affect species diversity and abundances 37 but are also known to impact biological processes such as dispersal, migration 38 and predation 39 by creating inhospitable habitat matrix within the remaining forest patches 40 .…”
Section: Meta-drivers Of Forest Lossmentioning
confidence: 99%