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美国佛罗里达礁区全新世珊瑚海平面修正数据库。

A revised Holocene coral sea-level database from the Florida reef tract, USA.

作者信息

Stathakopoulos Anastasios, Riegl Bernhard M, Toth Lauren T

机构信息

Halmos College of Natural Sciences and Oceanography, Guy Harvey Oceanographic Center, Nova Southeastern University, Dania, FL, United States of America.

St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, St. Petersburg, FL, United States of America.

出版信息

PeerJ. 2020 Jan 20;8:e8350. doi: 10.7717/peerj.8350. eCollection 2020.

Abstract

The coral reefs and mangrove habitats of the south Florida region have long been used in sea-level studies for the western Atlantic because of their broad geographic extent and composition of sea-level tracking biota. The data from this region have been used to support several very different Holocene sea-level reconstructions (SLRs) over the years. However, many of these SLRs did not incorporate all available coral-based data, in part because detailed characterizations necessary for inclusion into sea-level databases were lacking. Here, we present an updated database comprised of 303 coral samples from published sources that we extensively characterized for the first time. The data were carefully screened by evaluating and ranking the visual taphonomic characteristics of every dated sample within the database, which resulted in the identification of 134 high-quality coral samples for consideration as suitable sea-level indicators. We show that our database largely agrees with the most recent SLR for south Florida over the last ∼7,000 years; however, the early Holocene remains poorly characterized because there are few high-quality data spanning this period. Suggestions to refine future Holocene SLRs in the region are provided including filling spatial and temporal data gaps of coral samples, particularly from the early Holocene, as well as constructing a more robust peat database to better constrain sea-level variability during the middle to late Holocene. Our database and taphonomic-ranking protocol provide a framework for researchers to evaluate data-selection criteria depending on the robustness of their sea-level models.

摘要

由于其广阔的地理范围和海平面追踪生物群的组成,南佛罗里达地区的珊瑚礁和红树林栖息地长期以来一直被用于西大西洋的海平面研究。多年来,该地区的数据被用于支持几种截然不同的全新世海平面重建(SLR)。然而,其中许多海平面重建并未纳入所有可用的珊瑚数据,部分原因是缺乏纳入海平面数据库所需的详细特征描述。在此,我们展示了一个更新的数据库,该数据库包含从已发表资料中选取的303个珊瑚样本,我们首次对其进行了广泛的特征描述。通过评估和排序数据库中每个测年样本的视觉埋藏学特征,对数据进行了仔细筛选,从而确定了134个高质量珊瑚样本,可作为合适的海平面指标。我们表明,我们的数据库在很大程度上与南佛罗里达地区过去约7000年的最新海平面重建结果一致;然而,全新世早期的特征仍然描述不足,因为跨越这一时期的高质量数据很少。我们提供了完善该地区未来全新世海平面重建的建议,包括填补珊瑚样本的空间和时间数据空白,特别是来自全新世早期的样本,以及构建一个更强大的泥炭数据库,以更好地限制全新世中期至晚期的海平面变化。我们的数据库和埋藏学排序方案为研究人员提供了一个框架,以便他们根据海平面模型的稳健性评估数据选择标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce2b/6977503/b87c59269b95/peerj-08-8350-g001.jpg

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