Discover and read the best of Twitter Threads about #paleobiology
Most recents (3)
1/How did #megaherbivores come into existence? How did they evolve into multitonne sizes? Today we present our results @ScienceMagazine
[science.org/doi/10.1126/sc…]
#macroevolution #brontotheres #paleontology #paleobiology
Here is a 🧵 on our new paper 📄 [1 of 18]
[science.org/doi/10.1126/sc…]
#macroevolution #brontotheres #paleontology #paleobiology
Here is a 🧵 on our new paper 📄 [1 of 18]
2/ The emergence of large animals is a recurrent feature in #evolution. Traditionally, this pattern has been understood as the natural outcome of an almost-universal adaptive advantage of being larger. This notion is generally known as ‘Cope’s rule’.
3/ The mechanism is expected to produce definitive and gradual trends towards large sizes by means of natural selection.
Dreadnoughtus!!! 🦕
I like sauropods (long-necked dinosaurs) in general, as these Mesozoic puzzles 🧩 pushed evolutionary innovation to the extreme, & even the simplest aspects of their biology are confounding, oft-debated subjects. A thread 🧵 highlighting few of those.
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I like sauropods (long-necked dinosaurs) in general, as these Mesozoic puzzles 🧩 pushed evolutionary innovation to the extreme, & even the simplest aspects of their biology are confounding, oft-debated subjects. A thread 🧵 highlighting few of those.
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Dreadnoughtus schrani was discovered (2014) in southern Patagonia, Argentina 🇦🇷 and is thought to be the largest 🏆 terrestrial animal to have ever walked the planet (i.e., it possesses the greatest mass of any land animal that can be calculated 🧮 with...
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...reasonable certainty). This colossal sauropod flourished during the Late Cretaceous Epoch (100.5 million to 66 million years ago). It was about 26 m (85 feet) long 📏 and may have weighed about 59 metric tons ⚖️ (image source: Wikimedia Commons) -...
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The first article first-authored by my BSc, MSc (and quickly PhD) student @LDaumantas is out! sciencedirect.com/science/articl…
By combining insights from #archeology, #paleobiology, #GIS , #geostatistics and #Machine_learning we revealed the dynamics of ancient human settlement rules 1/n
By combining insights from #archeology, #paleobiology, #GIS , #geostatistics and #Machine_learning we revealed the dynamics of ancient human settlement rules 1/n
Extending the classical #cliodynamics approach advocated by @Peter_Turchin we tracked the dynamics of evolving spatial interactions of human settlements with geological/geomorphic factors while testing against spatial null models 2/n
Finally, we found that model significance (difference with null models) increased through time while their performance decreased. We explained this pattern as an increase in determinism of settlements, paired with the increase in complexity and specificity of rules 3/n
