Method of estimating sea-surface paleotemperatures through biotic proxies: A case study in Upper Paleozoic paleoclimatic, paleogeographic and paleotectonic reconstructions of Siberia

IF 2.3 2区 生物学 Q2 ECOLOGY
Vladimir I. Davydov, Eugeny V. Karasev, Elizaveta V. Popova, Vladislav I. Poletaev
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引用次数: 0

Abstract

This study introduces a novel approach for quantitatively assessing sea-surface paleotemperatures examined in the Upper Paleozoic of Siberia, utilizing the obtained in the region data as a case study of the use of this method. The method relies on evaluating the taxonomic composition and ecological proxies of biota. It utilizes a comprehensive dataset encompassing the geographic distribution and ecology of various biotic groups in Siberia and adjacent regions, leveraging the newly developed by the authors large PaleoSib database and partially the Paleobiology Database (paleobiology.org) The taxonomy has been used according to the database of Global Biodiversity Information Facility (gbif.org). Fossils collected from individual locations often exhibit a wide spectrum of paleotemperatures. To address this variability, we developed an algorithm for calculating average biotic paleotemperatures in each locality/time slice. Our computations of the available data have unveiled a coherent pattern of paleoclimate dynamics, particularly Sea Surface Temperature, across Siberian basins and surrounding areas during the Late Paleozoic era. These findings significantly contribute to a refined comprehension of paleoclimate and paleotectonic dynamics in the region during that specific time. To enhance paleotemperature analyses, we have integrated lithological indices with biotic ones, fortifying the overall methodology and furnishing a more robust framework for interpreting paleoclimate data. The method could be a helpful tool in regional and interregional studies, regardless of the utilized rock's age and fossil groups.

通过生物代用指标估算海表古温度的方法:西伯利亚上古生代古气候、古地理和古构造重建案例研究。
本研究介绍了一种定量评估西伯利亚上古生代海面古温度的新方法,并利用在该地区获得的数据作为使用该方法的案例研究。该方法依赖于评估生物群的分类组成和生态代用指标。该方法利用了一个涵盖西伯利亚及邻近地区各种生物群的地理分布和生态学的综合数据集,充分利用了作者新开发的大型 PaleoSib 数据库和部分古生物学数据库(paleobiology.org),并根据全球生物多样性信息基金(gbif.org)数据库使用了分类法。从各个地点采集的化石通常表现出广泛的古温度范围。针对这种变化,我们开发了一种算法,用于计算每个地点/时间片的平均生物古温度。我们对现有数据的计算揭示了晚古生代西伯利亚盆地及周边地区古气候动态的连贯模式,尤其是海表温度。这些发现极大地促进了对该地区特定时期古气候和古构造动态的深入理解。为了加强古温度分析,我们将岩性指数与生物指数结合起来,强化了整体方法,为解释古气候数据提供了一个更稳健的框架。这种方法可以成为区域和区域间研究的有用工具,无论使用的岩石的年龄和化石类别如何。
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来源期刊
CiteScore
4.40
自引率
3.80%
发文量
1027
审稿时长
3-6 weeks
期刊介绍: Ecology and Evolution is the peer reviewed journal for rapid dissemination of research in all areas of ecology, evolution and conservation science. The journal gives priority to quality research reports, theoretical or empirical, that develop our understanding of organisms and their diversity, interactions between them, and the natural environment. Ecology and Evolution gives prompt and equal consideration to papers reporting theoretical, experimental, applied and descriptive work in terrestrial and aquatic environments. The journal will consider submissions across taxa in areas including but not limited to micro and macro ecological and evolutionary processes, characteristics of and interactions between individuals, populations, communities and the environment, physiological responses to environmental change, population genetics and phylogenetics, relatedness and kin selection, life histories, systematics and taxonomy, conservation genetics, extinction, speciation, adaption, behaviour, biodiversity, species abundance, macroecology, population and ecosystem dynamics, and conservation policy.
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