2020
DOI: 10.1007/978-3-030-31167-4_9
|View full text |Cite
|
Sign up to set email alerts
|

Contrasting Patterns of Temporal Diversification in Neotropical Butterflies: An Overview

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

1
2
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 107 publications
1
2
0
Order By: Relevance
“…Divergence times estimated here support an older diversification history than that of most Eurasian Lepidoptera (Huemer et al, 2014(Huemer et al, , 2018; but see Gaytán et al, 2020), as most splits were estimated to have occurred before the last glacial cycle (~0.1 Ma). This is consistent with previous studies that suggest that around 70% of sister species pairs of Neotropical butterflies diverged along the Pleistocene (Brower & Garzón-Orduña, 2020;Garzón-Orduña et al, 2014;Matos-Maraví, 2016). Since the Andean forests (and the adjacent Amazonia) have been connected with the Atlantic Forest through different and not mutually exclusive spatiotemporal routes throughout the Neogene and Quaternary (Batalha-Filho et al, 2013;Lavinia et al, 2019;Prates, Xue, et al, 2016;Trujillo-Arias et al, 2020), our results do not reject the possibility of older diversification events for the butterfly fauna of these forests, especially considering the fact that here we focused on intraspecific splits instead of dating speciation events or crown group ages (Blandin & Purser, 2013;Elias et al, 2009).…”
Section: Historical Relationship Between South American Forestssupporting
confidence: 93%
See 1 more Smart Citation
“…Divergence times estimated here support an older diversification history than that of most Eurasian Lepidoptera (Huemer et al, 2014(Huemer et al, , 2018; but see Gaytán et al, 2020), as most splits were estimated to have occurred before the last glacial cycle (~0.1 Ma). This is consistent with previous studies that suggest that around 70% of sister species pairs of Neotropical butterflies diverged along the Pleistocene (Brower & Garzón-Orduña, 2020;Garzón-Orduña et al, 2014;Matos-Maraví, 2016). Since the Andean forests (and the adjacent Amazonia) have been connected with the Atlantic Forest through different and not mutually exclusive spatiotemporal routes throughout the Neogene and Quaternary (Batalha-Filho et al, 2013;Lavinia et al, 2019;Prates, Xue, et al, 2016;Trujillo-Arias et al, 2020), our results do not reject the possibility of older diversification events for the butterfly fauna of these forests, especially considering the fact that here we focused on intraspecific splits instead of dating speciation events or crown group ages (Blandin & Purser, 2013;Elias et al, 2009).…”
Section: Historical Relationship Between South American Forestssupporting
confidence: 93%
“…Butterflies are one of the most conspicuous, widespread groups of animals in the Neotropics, with a species richness that accounts for ~40% of the global diversity of the group (~20,000 species; Lamas, 2004). This, in combination with their close association to vegetation and high sensitivity to environmental change, has made them a model group for the study of diversification patterns in the region (Bonebrake et al, 2010; Brower & Garzón‐Orduña, 2020; Ebel et al, 2015; Lamas, 2004). However, most previous studies on Neotropical butterflies have examined Amazonia or the tropical Andes (Blandin & Purser, 2013; Chazot et al, 2016; Elias et al, 2009; Garzón‐Orduña et al, 2014; Penz et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Despite comprising the greatest diversity of any group of organisms, insects are the subject of relatively few biogeographic studies within the neotropics outside of Lepidoptera (e.g. Garzón-Orduña et al, 2014;Chazot et al, 2018;Brower and Garzón-Orduña, 2020) or Hymenoptera (e.g. Branstetter & Longino, 2019;2022;Barrera et al, 2022).…”
Section: Introductionmentioning
confidence: 99%