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2022
DOI: 10.1016/j.scitotenv.2022.156939
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Flight initiation distance and refuge in urban birds

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Cited by 25 publications
(18 citation statements)
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References 61 publications
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“…We were thus able to sample during (2020) and after (2021) the Covid-19 lockdown the same areas we sampled before lockdown (2018) in previous studies (Díaz et al, 2013(Díaz et al, , 2021(Díaz et al, , 2022. Paired comparisons according to study sites (see below) control for among-sites (cities and surrounding rural areas) variation in other factors potentially influencing FIDs, such as vegetation structure, human population density or the level of governmental restrictions (Díaz et al, 2022;Mikula et al, 2022;Morelli et al, 2022).…”
Section: Methodsmentioning
confidence: 99%
“…We were thus able to sample during (2020) and after (2021) the Covid-19 lockdown the same areas we sampled before lockdown (2018) in previous studies (Díaz et al, 2013(Díaz et al, , 2021(Díaz et al, , 2022. Paired comparisons according to study sites (see below) control for among-sites (cities and surrounding rural areas) variation in other factors potentially influencing FIDs, such as vegetation structure, human population density or the level of governmental restrictions (Díaz et al, 2022;Mikula et al, 2022;Morelli et al, 2022).…”
Section: Methodsmentioning
confidence: 99%
“…We fitted a Gaussian model structure and ran four Markov Chain Monte Carlo chains with default priors (i.e. uninformative priors) (following [ 48 ]). Also, to minimize divergent transitions, we set the target average proposal acceptance probability to 0.999 and the maximum tree depth to 20 (modified from [ 48 ]).…”
Section: Methodsmentioning
confidence: 99%
“…uninformative priors) (following [ 48 ]). Also, to minimize divergent transitions, we set the target average proposal acceptance probability to 0.999 and the maximum tree depth to 20 (modified from [ 48 ]). Lastly, we calculated the conditional R 2 and marginal R 2 to determine how much of the variance was explained by both fixed and random effects (conditional R 2 ) and only by the fixed factors (marginal R 2 ) using the b2_bayes function from the ‘performance’ package v. 0.9.1 [ 49 ].…”
Section: Methodsmentioning
confidence: 99%
“…Various aspects of the economy of escape have been studied, e.g., the effect of life history traits (Blumstein, 2006;Møller, 2014), human disturbance (Fernández-Juricic et al, 2005;Burger et al, 2010;Li et al, 2011), habitat type (Stankowich & Coss, 2007;Davey et al, 2019;Uchida et al, 2020), distance to refuge (Cooper & Samia, 2018;Morelli et al, 2022), or group size (Braimoh et al, 2018;Morelli et al, 2019). However, not many studies assessed how behaviours of individuals prior to and during approach affect escape decisions.…”
Section: Introductionmentioning
confidence: 99%