2015
DOI: 10.1016/j.biocon.2015.02.027
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Environmental and anthropogenic factors structuring waterbird habitats of tropical coastal lagoons: Implications for management

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Cited by 78 publications
(73 citation statements)
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“…We assessed the appropriate level of each significant variable (obtained from GLMMs) graphically by consolidating smoothing capacities into the generalized additive mixed models (GAMMs) following Tavares et al (2015). Different values of knots (k) were tested to make effective degrees of freedom (edf) not much less than kÀ1 for each model following the guidelines of Wood (2006).…”
Section: Statistical Analysesmentioning
confidence: 99%
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“…We assessed the appropriate level of each significant variable (obtained from GLMMs) graphically by consolidating smoothing capacities into the generalized additive mixed models (GAMMs) following Tavares et al (2015). Different values of knots (k) were tested to make effective degrees of freedom (edf) not much less than kÀ1 for each model following the guidelines of Wood (2006).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Several studies have demonstrated that environmental variables such as wetland hydrology and landscape can alter waterbird abundance in different ways (Alexander & Hepp, 2014;Brandolin & Blendinger, 2016;Tavares, Guadagnin, de Moura, Siciliano, & Merico, 2015;Wen, Rogers, Saintilan, & Ling, 2011). For example, fluctuations in water depth influence the physical condition of waterbird habitats (e.g., the establishment of mudflats), affect food availability, and prey vulnerability (Bellio & Kingsford, 2013;Lantz, Gawlik, & Cook, 2011;Timmermans, Badzinski, & Ingram, 2008;Y.…”
Section: Introductionmentioning
confidence: 99%
“…However, to monitor at-sea densities is expensive and logistically challenging, making this unsuitable for developing countries such as Brazil. However, the seabirds species examined herein are more abundant and forage within 20 km from breeding sites, where they aggregate to reproduce and forage throughout the year [3, 5, 46, 56, 65, 66]. Thus, we used the linear distance between the nearest breeding island and the centre of surveyed transects as a metric for seabird at-sea abundance, i.e., the level of exposure of these organisms to local potential causes of death (i.e.…”
Section: Methodsmentioning
confidence: 99%
“…This technique allowed for the identification of non-normal response variables and spatial dependence of observations [69]. We fitted models to predict stranding events for each of the seabird species studied, with predictor variables set as fixed effects and sampling areas included as random effects, thus accounting for spatial correlations [3]. Since T .…”
Section: Methodsmentioning
confidence: 99%
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