Heterogeneous palaeo‐ecogeography of brachiopods during the Late Ordovician mass extinction in South China

古生物学 奥陶纪 生物集群灭绝 地质学 消光(光学矿物学) 中国 地理 考古 生物扩散 社会学 人口学 人口
作者
Bing Huang,Rong Jiayu
出处
期刊:Palaeontology [Wiley]
卷期号:67 (5)
标识
DOI:10.1111/pala.12728
摘要

Abstract Following the first phase of the Late Ordovician mass extinction (LOME), the globally distributed Hirnantia brachiopod fauna exhibited homogeneity both latitudinally and longitudinally. The uniform global palaeobiogeography of the Hirnantia fauna, based solely on occurrence data, might obscure its heterogeneous nature during the glaciation. In this study, leveraging diversity and abundance data from well‐sampled collections in South China, along with non‐metric multidimensional scaling (NMDS) using the Raup–Crick measure, network analysis (NA), and abundance models, we unveil the palaeo‐ecogeography of the Hirnantia fauna for the first time. The distribution of the Hirnantia fauna in South China is categorized into three areas: the deep water area, the shallower water area, and the very shallow water area, based on NMDS and NA. Drastically different benthic assemblages among these areas reveal diverse environmental settings, with an approximate westward shallower trend and a deeper trend extending both northward and southeastward. Analysis of species‐abundance models for eight well‐sampled collections demonstrates different best‐fitted models, suggesting that competitive ecology operated in varied contexts despite common BA3 environmental settings and close geographical proximity. While a substantial global sea level fall and climate cooling around the Katian–Hirnantian boundary played important roles in the LOME, the palaeo‐ecogeography of the Hirnantia fauna in South China was predominantly influenced by the expansion of the Cathaysian oldland and the Qianzhong uplift. The interval between the two LOME phases, marked by kinetic conditions, witnessed the heterogeneous development of the Hirnantia fauna.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
上官若男应助ljw采纳,获得10
1秒前
Yy完成签到 ,获得积分10
1秒前
2秒前
qqqqqqqw发布了新的文献求助10
3秒前
wuhao发布了新的文献求助10
3秒前
zhangyixin发布了新的文献求助10
4秒前
科研通AI6.4应助Faith采纳,获得10
4秒前
liuhua完成签到,获得积分10
4秒前
萨达完成签到,获得积分10
6秒前
6秒前
FashionBoy应助ljw采纳,获得10
7秒前
Eason完成签到,获得积分10
7秒前
小猫嘶嘶发布了新的文献求助10
8秒前
8秒前
lili关注了科研通微信公众号
8秒前
zhaoXIN发布了新的文献求助10
8秒前
华仔应助砚行书采纳,获得10
8秒前
9秒前
10秒前
10秒前
三三发布了新的文献求助10
11秒前
12秒前
12秒前
13秒前
ZZ发布了新的文献求助10
13秒前
小林发布了新的文献求助10
14秒前
14秒前
14秒前
小夜发布了新的文献求助10
14秒前
minhhieuip发布了新的文献求助10
14秒前
15秒前
子子发布了新的文献求助10
15秒前
jj发布了新的文献求助10
16秒前
小二郎应助同瓜不同命采纳,获得10
16秒前
16秒前
17秒前
18秒前
18秒前
如栩发布了新的文献求助10
19秒前
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6370293
求助须知:如何正确求助?哪些是违规求助? 8184235
关于积分的说明 17266401
捐赠科研通 5424858
什么是DOI,文献DOI怎么找? 2870073
邀请新用户注册赠送积分活动 1847049
关于科研通互助平台的介绍 1693826