地层古生物学

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Steven M. Holland, Mark E. Patzkowsky, Katharine M. Loughney
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引用次数: 0

摘要

地层古生物学利用对地层记录构造的现代理解--从海床到沉积序列再到沉积盆地--来解释化石记录的模式并指导取样策略。在过去的 25 年中,其原理主要是通过前向数值建模建立起来的,最初是在浅海系统中,最近则是在非海洋系统中。这些模型的预测结果通过露头尺度和盆地尺度的实地研究得到了验证,同时也揭示了新的见解。在多海盆和全球尺度上,对生物记录和沉积记录共同发展的理解主要来自宏观地层学,即对沉积岩间隙包的分析。在此,我们将介绍地层古生物学六个主要领域的最新进展,包括意大利波河平原的关键测试、大规模灭绝与恢复、浅海与非海洋系统的对比、栖息地与地层结构的相互关系、大尺度地层结构以及区域生态系统的组合。我们强调了未来将地层古生物学概念应用于气候变化、地球化学、系统发生学和化石记录大尺度结构研究的潜力。最后,我们认为古生物学需要更多的地层学思考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stratigraphic paleobiology

Stratigraphic paleobiology uses a modern understanding of the construction of the stratigraphic record—from beds to depositional sequences to sedimentary basins—to interpret patterns and guide sampling strategies in the fossil record. Over the past 25 years, its principles have been established primarily through forward numerical modeling, originally in shallow-marine systems and more recently in nonmarine systems. Predictions of these models have been tested through outcrop-scale and basin-scale field studies, which have also revealed new insights. At multi-basin and global scales, understanding the joint development of the biotic and sedimentary records has come largely from macrostratigraphy, the analysis of gap-bound packages of sedimentary rock. Here, we present recent advances in six major areas of stratigraphic paleobiology, including critical tests in the Po Plain of Italy, mass extinctions and recoveries, contrasts of shallow-marine and nonmarine systems, the interrelationships of habitats and stratigraphic architecture, large-scale stratigraphic architecture, and the assembly of regional ecosystems. We highlight the potential for future research that applies stratigraphic paleobiological concepts to studies of climate change, geochemistry, phylogenetics, and the large-scale structure of the fossil record. We conclude with the need for more stratigraphic thinking in paleobiology.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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