2012
DOI: 10.1017/s0959270912000184
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Population responses of the Endangered White-breasted ThrasherRamphocinclus brachyurusto a tourist development in Saint Lucia – conservation implications from a spatial modelling approach

Abstract: SummaryTourism development is one of the main contemporary drivers of habitat loss and fragmentation within the Caribbean Islands biodiversity hotspot. In Saint Lucia, construction of a hotel and golf course within coastal dry forest is directly threatening the largest known subpopulation of the Endangered White-breasted Thrasher Ramphocinclus brachyurus. Understanding how the species is responding to ongoing landscape change and identifying priority sites for conservation are imperative for planning its long-… Show more

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Cited by 9 publications
(23 citation statements)
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“…Due to the presence of tall trees in the study area, visibility was poor (Reuleaux et al 2013, Buckland et al 2016) beyond 480 m. We used three models in the ''Distance'' package of R software: (1) half normal with cosine adjustments, (2) uniform with cosine adjustments and (3) hazard-rate with simple polynomial adjustments (Buckland et al 2001, Thomas et al 2010, Reuleaux et al 2013). We used Akaike information criterion (AIC) and visual evaluation of quantil-quantil plots to select the model that best fit our data as these are widely used and simple approaches to determine the most suitable model (Buckland et al 2001, 2016, Thomas et al 2010, White et al 2012. We used linear regression to quantify the relationship between the number of nests recorded on a transect and the number and area of waterbodies.…”
Section: Methodsmentioning
confidence: 99%
“…Due to the presence of tall trees in the study area, visibility was poor (Reuleaux et al 2013, Buckland et al 2016) beyond 480 m. We used three models in the ''Distance'' package of R software: (1) half normal with cosine adjustments, (2) uniform with cosine adjustments and (3) hazard-rate with simple polynomial adjustments (Buckland et al 2001, Thomas et al 2010, Reuleaux et al 2013). We used Akaike information criterion (AIC) and visual evaluation of quantil-quantil plots to select the model that best fit our data as these are widely used and simple approaches to determine the most suitable model (Buckland et al 2001, 2016, Thomas et al 2010, White et al 2012. We used linear regression to quantify the relationship between the number of nests recorded on a transect and the number and area of waterbodies.…”
Section: Methodsmentioning
confidence: 99%
“…We used published Saint Lucia White-breasted Thrasher presence data in our habitat suitability models. We combined data that had been collected across several studies: data from the Iyanola range were collected in 2003 (Temple 2005) and 2006 (Young et al 2010) ( n = 45 presence points total), and data from the Mandelé range were collected in 2006–2009 (White et al 2012; n = 67 presence points). We counted a sighting in any year as a presence point.…”
Section: Methodsmentioning
confidence: 99%
“…We chose environmental predictor variables expected to influence White-breasted Thrasher distribution (Temple 2005, White et al 2012) and that also could be acquired for all of Saint Lucia. The predictors we used included temperature and precipitation metrics, measures of topography, human density as an estimate of development extent, and land cover data (see Table 1 for data sources).…”
Section: Methodsmentioning
confidence: 99%
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