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Cross-disciplinary information for understanding macroevolution

delete2023-03-01
delete13
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OA
AI
L
Lee Hsiang Liow *
J
Josef C. Uyeda
H
Hunt, Gene
DOI:10.1016/j.tree.2022.10.013delete
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摘要

摘要

En 中文
Many different macroevolutionary models can produce the same observations. Despite efforts in building more complex and realistic models, it may still be difficult to distinguish the processes that have generated the biodiversity we ob-serve. In this opinion we argue that we can make new progress by reaching out across disciplines, relying on independent data and theory to constrain macro -evolutionary inference. Using mainly paleontological insights and data, we illus-trate how we can eliminate less plausible or implausible models, and/or parts of parameter space, while applying comparative phylogenetic approaches. We em-phasize that such cross-disciplinary insights and data can be drawn between many other disciplines relevant to macroevolution. We urge cross-disciplinary training, and collaboration using common-use databases as a platform for increasing our understanding.
Keyword:
PHENOTYPIC EVOLUTION
MORPHOLOGICAL EVOLUTION
RATES
EXTINCTION
SELECTION
HISTORY
EXTANT
LIFE
MICROEVOLUTION
PHYLOGENIES

期刊

T
Trends in Ecology and Evolution
IF:
17.3
论文数:
4.4K
被引数:
4.0W

机构

S
Smithsonian Institution
学者数:
1.2W
论文数: 1.2W
被引数: 4.2K
U
university of oslo
学者数:
4.2W
论文数: 3.5W
被引数: 53
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