2016
DOI: 10.1111/jbi.12766
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Dinosaur biogeographical structure and Mesozoic continental fragmentation: a network‐based approach

Abstract: Aim To reconstruct dinosaur macro‐biogeographical patterns through the Mesozoic Era using a network‐based approach. We test how continental fragmentation affected dinosaur macro‐biogeographical structure and evolutionary rates. Location A global occurrence database of dinosaur families from the Late Triassic to the end‐Cretaceous was used for this study. Methods Biogeographical and geographical network models were constructed. Continental landmasses were linked by direct continental contact and sea level (SL)‐… Show more

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Cited by 35 publications
(28 citation statements)
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References 61 publications
(100 reference statements)
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“…The sensitivity of dinosaur populations to changes in altitudinal (distance from palaeoshoreline) and latitudinal environmental gradients has been the subject of considerable debate for over 30 years [19, 11, 15, 23, 26, 27, 4246, 55, 62, 70], and though it has been questioned [17, 18, 22, 28, 74], it remains one of the primary explanations for patterns observed in the evolution and distribution of dinosaurs throughout the Late Cretaceous of western North America. A focused sub-sampling of the time-equivalent interval of the Oldman and Dinosaur Park formations within the larger Belly River Group microsite abundance dataset facilitates a controlled and direct test of dinosaur assemblage changes across differing palaeoenvironments (Figs.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The sensitivity of dinosaur populations to changes in altitudinal (distance from palaeoshoreline) and latitudinal environmental gradients has been the subject of considerable debate for over 30 years [19, 11, 15, 23, 26, 27, 4246, 55, 62, 70], and though it has been questioned [17, 18, 22, 28, 74], it remains one of the primary explanations for patterns observed in the evolution and distribution of dinosaurs throughout the Late Cretaceous of western North America. A focused sub-sampling of the time-equivalent interval of the Oldman and Dinosaur Park formations within the larger Belly River Group microsite abundance dataset facilitates a controlled and direct test of dinosaur assemblage changes across differing palaeoenvironments (Figs.…”
Section: Discussionmentioning
confidence: 99%
“…Environmental changes caused by transgression-regression cycles of the Western Interior Sea have been suggested to drive the high diversity and high faunal turnover rates of non-avian dinosaurs [4, 5, 8–11], along with changes in the vertebrate community structure more generally [1216]. However, global-scale analyses of dinosaurs, as a whole [17] and at the family level [18], indicate that large-scale changes in sea level may not have had a significant influence on broad patterns of diversity, evolution, or migration. This suggests that putative patterns in dinosaur ecology and evolution related to sea level, such as those described from Western North America, may be either the result of other factors, such as sampling biases, or may be occurring on a scale that is too small to be readily detected in such coarse-scale analyses [4].…”
Section: Introductionmentioning
confidence: 99%
“…Accordingly, giant theropod tracks may have some significance for dinosaur biogeographic structure and continental fragmentation (see also Dunhill et al 2016).…”
Section: Palaeoecological Inferencesmentioning
confidence: 99%
“…Unfortunately, the definition of bioregions in palaeontological studies of historical biogeography, beta diversity and regional species richness has been inconsistent and often extremely arbitrary. A wide range of scales has been employed, ranging from individual localities (Sahney et al, 2010;Vavrek and Larsson, 2010), to formations/basins (Sidor et al, 2013) to environmental/climatic zones (Sepkoski, 1988;Tougard, 2001;Qian and Ricklefs, 2007;Brocklehurst et al, 2017) to continents (Murray, 2001;Upchurch et al, 2002;Allwood et al, 2010;Benson et al, , 2016Upchurch P. et al, 2015;Dunhill et al, 2016;Silvestro et al, 2016). More recently, Button et al (2017) attempted to remove the subjectivity, grouping localities based on their palaeocoordinates using k-means clustering.…”
Section: Introductionmentioning
confidence: 99%