A high-resolution summary of Cambrian to Early Triassic marine invertebrate biodiversity

Author:

Fan Jun-xuan12ORCID,Shen Shu-zhong123ORCID,Erwin Douglas H.45ORCID,Sadler Peter M.6ORCID,MacLeod Norman1,Cheng Qiu-ming7,Hou Xu-dong1,Yang Jiao1,Wang Xiang-dong1,Wang Yue2ORCID,Zhang Hua2,Chen Xu2,Li Guo-xiang2,Zhang Yi-chun2ORCID,Shi Yu-kun1,Yuan Dong-xun2ORCID,Chen Qing2ORCID,Zhang Lin-na2ORCID,Li Chao2,Zhao Ying-ying1ORCID

Affiliation:

1. School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China.

2. LPS, Nanjing Institute of Geology and Palaeontology and Center for Excellence in Life and Paleoenvironment, Chinese Academy of Sciences, Nanjing 210008, China.

3. Key Laboratory of Continental Collision and Plateau Uplift, Institute of Tibetan Plateau Research and Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China.

4. Department of Paleobiology, National Museum of Natural History, Washington, DC 20013, USA.

5. Santa Fe Institute, Santa Fe, NM 87501, USA.

6. Department of Earth Sciences, University of California, Riverside, CA 92521, USA.

7. School of the Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China.

Abstract

A finer record of biodiversity We have pressing, human-generated reasons to explore the influence of environmental change on biodiversity. Looking into the past can not only inform our understanding of this relationship but also help us to understand current change. Paleontological records depend on fossil availability and predictive modeling, however, and thus tend to give us a picture with large temporal jumps, millions of years wide. Such a scale makes it difficult to truly understand the action of environmental forces on ecological processes. Enabled by a supercomputer, Fan et al. used machine learning to analyze a large marine Paleozoic dataset, creating a record with time intervals of only ∼26,000 years (see the Perspective by Wagner). This fine-scale resolution revealed new events and important details of previously described patterns. Science , this issue p. 272 ; see also p. 249

Funder

National Natural Science Foundation of China

National key R&D program of China

Strategic Priority Research Programs of the Chinese Academy of Sciences

Second Tibetan Plateau Scientific Expedition and Research

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference75 articles.

1. J. J. Sepkoski Jr. A Compendium of Fossil Marine Animal Families (Milwaukee Public Museum ed. 2 1992)

2. J. J. Sepkoski Jr. A Compendium of Fossil Marine Animal Genera (Paleontological Research Institution 2002).

3. Effects of sampling standardization on estimates of Phanerozoic marine diversification

4. Phanerozoic Trends in the Global Diversity of Marine Invertebrates

5. PHANEROZOIC BIODIVERSITY MASS EXTINCTIONS

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