Biodiversity patterns of Silurian Radiolaria-Reference-Cited by-同舟云学术

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Biodiversity patterns of Silurian Radiolaria

Published:2017-10 Issue: Volume:173 Page:77-83
ISSN:0012-8252
Container-title:Earth-Science Reviews
language:en
Short-container-title:Earth-Science Reviews

Author:

Tetard Martin^ORCID,Monnet Claude^ORCID,Noble Paula J.,Danelian Taniel

Funder

Région Hauts-de-France

Ministère de l'Enseignement Supérieur et de la Recherche (CPER Climibio)

European Fund for Regional Economic Development

University of Nevada Reno

University of Lille – Sciences and Technologies

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences

Reference73 articles.

1. Ages of Silurian radiolarians from the Kurosegawa Terrane, Southwest Japan constrained by U/Pb SHRIMP data;Aitchison;J. SE Asian Earth Sci.,1996

2. Dynamics of origination and extinction in the marine fossil record;Alroy;Proc. Natl. Acad. Sci. U. S. A.,2008

3. Fair sampling of taxonomic richness and unbiased estimation of origination and extinction rates;Alroy,2010

4. Phanerozoic trends in global diversity of marine invertebrates;Alroy;Science,2008

5. The nature of Ordovician limestone-marl alternations in the Oslo-Asker district (Norway): witnesses of primary glacio-eustasy or diagenetic rhythms?;Amberg;Sci Rep,2016

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Zinc isotopic evidence for enhanced continental weathering and organic carbon burial in the Early Silurian;Chemical Geology;2024-09

2. Nassellarian polycystine radiolarians observed in sediment traps from the southern Ionian Sea (Eastern Mediterranean);Revue de Micropaléontologie;2024-04

3. Morphometrics and machine learning discrimination of the middle Eocene radiolarian species Podocyrtis chalara, Podocyrtis goetheana and their morphological intermediates;Marine Micropaleontology;2023-12

4. Anomalous weathering trends during the Early Silurian warming: Implications for the biotic crisis and recovery;Palaeogeography, Palaeoclimatology, Palaeoecology;2023-12

5. Merging databases for CNN image recognition, increasing bias or improving results?;Marine Micropaleontology;2023-12

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