基于巴西微量化石组合的早古生代地层新模式

Sara C. Memória , Renata G. Netto , Daniel Sedorko
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摘要

由于微量化石的地层范围较长,一般不用作生物地层指示物。尽管在没有其他指标的情况下使用了复杂的行为痕迹,但由于关键数据缺口和区域限制,现有模型(如前寒武纪-寒武纪边界和Cruziana地层学)遇到了局限性。为了克服这些挑战,在本文中,我们对已建立的模型进行了批判性评估,并利用巴西克拉通内盆地的痕迹化石,提出了早古生代地层的新框架。我们的技术地层模型使用Parnaíba、paranas 和Amazonas盆地的技术数据(包括新数据)进行校准。分析的重点是利用几丁质动物、小孢子动物和水蛭生物区带独立测定年代的地层中痕量化石。节肢类和Cruziana是巴西陆地发育阶段的重要标志。在天关组中出现的海马目和肌肉足目也可以用来说明一个陆交期。值得注意的是,在巴西盆地广泛发现的双辉石,作为早古生代至中古生代区间的潜在标志,在全球范围内存在于寒武纪至密西西比沉积。虽然目前的海洋地层模型缺乏与年代地层或生物地层数据的可靠校准,但我们提出的新模型整合了关键的海洋类群,包括biungites, Climactichnites, Heimdallia, Oldhamia和Musculopodus,超越了先前基于Cruziana和节肢动物的分区。这些鱼分类群表现出独特的特征和狭窄的时间范围,符合基本的生物地层标准。虽然它们的空间分布有些有限,但我们的新模型随着新数据的不断发展,有望增强全球地层相关性,特别是在有独立年龄信息的情况下。
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A new model for Early Paleozoic ichnostratigraphy based on trace fossil assemblages from Brazil

Trace fossils are not generally utilized as biostratigraphic indicators due to their long stratigraphic ranges. Despite the use of intricate behavioral traces in the absence of other indicators, existing models like the Precambrian–Cambrian boundary and Cruziana stratigraphy encounter limitations due to crucial data gaps and regional constraints. To surmount these challenges, in this paper, we critically assess established models and present a new framework for Early Paleozoic strata, drawing on trace fossils from the intracratonic basins of Brazil. Our ichnostratigraphic model is calibrated using ichnological data from the Parnaíba, Paraná, and Amazonas basins, including new data. The analysis focuses on trace fossils in strata that are independently dated using chitinozoan, miospore, and acritarch biozonation. Key ichnotaxa, such as Arthrophycus and Cruziana, are identified as prominent indicators of the Llandovery Stage in Brazil. Occurrences of Heimdallia and Musculopodus in the Tianguá Formation also may be used to suggest a Llandovery interval. Notably, Bifungites, found widely across Brazilian basins, emerges as a potential ichnomarker for the Early to mid-Paleozoic interval, with a global presence throughout Cambrian to Mississippian deposits. While current ichnostratigraphic models lack robust calibration with chronostratigraphic or biostratigraphic data, our new proposed model integrates key ichnotaxa, including Bifungites, Climactichnites, Heimdallia, Oldhamia, and Musculopodus, surpassing those pre-existing zonations based on Cruziana and arthrophycids. These ichnotaxa exhibit unique features and narrow temporal ranges, meeting essential biostratigraphic criteria. Although their spatial distribution is somewhat limited, our new model, which is continually evolving with new data, holds promise for enhancing global stratigraphic correlations, particularly where independent age information is available.

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