2020
DOI: 10.1016/j.biocon.2019.108323
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Turtle biogeography: Global regionalization and conservation priorities

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Cited by 22 publications
(30 citation statements)
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“…To delineate endemic areas within the study region, we used multivariate clustering methods (Kreft & Jetz, 2010) to identify geographical clusters of river sub‐basins based on assemblages (sensu Fauth et al., 1996) of freshwater fishes. These methods provide a quantitative and objective first step in identification and delineation of biogeographical regions and have been widely used for aquatic ecosystems (Cousseau et al, 2019; Ennen, Agha, Matamoros, Hazzard, & Lovich, 2016; Ennen et al., 2020; Matamoros et al., 2016; Matamoros, Kreiser, & Schaefer, 2012). First, we performed a hierarchical cluster analysis of the river sub‐basins based on an unweighted pair group method analysis with arithmetic means (UPGMA) on a dissimilarity matrix based on Jaccard index from our presence/absence dataset using the hclust function implemented in the R package ‘vegan’.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…To delineate endemic areas within the study region, we used multivariate clustering methods (Kreft & Jetz, 2010) to identify geographical clusters of river sub‐basins based on assemblages (sensu Fauth et al., 1996) of freshwater fishes. These methods provide a quantitative and objective first step in identification and delineation of biogeographical regions and have been widely used for aquatic ecosystems (Cousseau et al, 2019; Ennen, Agha, Matamoros, Hazzard, & Lovich, 2016; Ennen et al., 2020; Matamoros et al., 2016; Matamoros, Kreiser, & Schaefer, 2012). First, we performed a hierarchical cluster analysis of the river sub‐basins based on an unweighted pair group method analysis with arithmetic means (UPGMA) on a dissimilarity matrix based on Jaccard index from our presence/absence dataset using the hclust function implemented in the R package ‘vegan’.…”
Section: Methodsmentioning
confidence: 99%
“…To delineate endemic areas within the study region, we used multivariate clustering methods (Kreft & Jetz, 2010) to identify geographical clusters of river sub-basins based on assemblages (sensu Fauth et al, 1996) of freshwater fishes. These methods provide a quantitative and objective first step in identification and delineation of biogeographical regions and have been widely used for aquatic ecosystems (Cousseau et al, 2019;Ennen, Agha, Matamoros, Hazzard, & Lovich, 2016;Ennen et al, 2020;Matamoros et al, 2016;Matamoros, Kreiser, & Schaefer, 2012).…”
Section: Identification Of Fine-scale Biogeographical Structurementioning
confidence: 99%
“…One of the basic criteria for defining priority geographic areas for protection is the number of species an area harbors, in particular the number of endemic species, as these cannot be found elsewhere if such areas are damaged or lost (Giam et al, 2012;Ennen et al, 2020). An increasing number of studies are also starting to move the focus from species richness to phylogenetic diversity, a proxy that may represent aspects of biodiversity beyond that captured by species richness (Gumbs et al, 2020).…”
Section: Hotspots Of Undescribed or Cryptic Speciesmentioning
confidence: 99%
“…While freshwater turtles represent an obvious and charismatic species occupying freshwaters on many continent (Ennen et al 2020), they are actually facing risk of extinction due to burgeoning landscape changes including fragmentation or habitat loss (Browne and Hecnar 2007, Krull et al 2013), nest predation (Spencer 2002, Doody et al 2006), or changes in hydrology either through direct water extraction or regulation (Micheli‐Campbell et al 2017), and climate change (Fordham et al 2014). These threats are also apparent in northern Australia, because of seasonal wetland complexes (Georges 1992) and will employ terrestrial locomotion to exploit ephemeral food supplies, lay eggs or escape drought.…”
Section: Introductionmentioning
confidence: 99%