The rise and fall of stromatolites in shallow marine environments

Peters, Shanan E.; Husson, Jon M.; Wilcots, Julia

doi:10.1130/g38931.1

Cited by 98 publications

(51 citation statements)

References 35 publications

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“…These types of known relationships can be leveraged during machine reading and learning tasks to help identify entities and improve the quality of machine-driven geological data extraction and inference tasks 30,31 . Here, we describe the motivation for Macrostrat and its general data model.…”

Section: Alexander Ronovmentioning

confidence: 99%

Macrostrat: a platform for geological data integration and deep-time Earth crust research

Peters¹,

Husson²,

Czaplewski³

2018

Preprint

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Characterizing the lithology, age, and physical-chemical properties of rocks and sediments in the Earth's upper crust is necessary to fully assess energy, water, and mineral resources and to address many fundamental questions in the Earth sciences. Although a large number of geological maps, regional geological syntheses, and sample-based measurements have been produced, there is no openly available database that integrates rock record-derived data while facilitating large-scale, quantitative characterization of the volume, age, and material properties of the upper crust. Here we describe Macrostrat, a relational geospatial database and supporting cyberinfrastructure that is designed to enable quantitative spatial and geochronological analyses of the entire assemblage of surface and subsurface sedimentary, igneous and metamorphic rocks. Macrostrat now contains general, comprehensive summaries of the age and properties of 33,903 lithologically and chronologically-defined geological units distributed across 1,474 regions in North and South America, the Caribbean, New Zealand, and the deep sea. Sample-derived data, including fossil occurrences in the Paleobiology Database, more than 180,000 geochemical and outcrop-derived measurements, and more than 2.1 million bedrock geologic map units from over 170 map sources, are linked to specific Macrostrat units and/or lithologies. Macrostrat has generated numerous quantitative results and its data infrastructure is being used in several independently developed mobile applications. However, it is necessary to expand geographic coverage and to refine age models and material properties to arrive at a more precise characterization of the upper crust globally.

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Section: Alexander Ronovmentioning

confidence: 99%

Macrostrat: a platform for geological data integration and deep-time Earth crust research

Peters¹,

Husson²,

Czaplewski³

2018

Preprint

View full text Add to dashboard Cite

show abstract

“…Another solution is to further streamline data input systems that prepare data and metadata in import-ready formats for Neotoma, at the earliest stages of scientific workflows (e.g., building customized import software for data generated from mass spectrometers or for microfossil analysts working at microscopes). A third is to make use of text-mining programs such as GeoDeepDive (Peters et al, 2014(Peters et al, , 2017 for help to discover and bring online dark data (Heidorn, 2008) and automating the discovery of new papers and the particularly routine parts of data entry, such as bibliographic citations. We welcome innovation by others in all of these areas.…”

Section: Adding Data To Neotomamentioning

confidence: 99%

The Neotoma Paleoecology Database, a multiproxy, international, community-curated data resource

et al. 2018

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The Neotoma Paleoecology Database is a community-curated data resource that supports interdisciplinary global change research by enabling broad-scale studies of taxon and community diversity, distributions, and dynamics during the large environmental changes of the past. By consolidating many kinds of data into a common repository, Neotoma lowers costs of paleodata management, makes paleoecological data openly available, and offers a high-quality, curated resource. Neotoma's distributed scientific governance model is flexible and scalable, with many open pathways for participation by new members, data contributors, stewards, and research communities. The Neotoma data model supports, or can be extended to support, any kind of paleoecological or paleoenvironmental data from sedimentary archives. Data additions to Neotoma are growing and now include >3.8 million observations, >17,000 datasets, and >9200 sites. Dataset types currently include fossil pollen, vertebrates, diatoms, ostracodes, macroinvertebrates, plant macrofossils, insects, testate amoebae, geochronological data, and the recently added organic biomarkers, stable isotopes, and specimen-level data. Multiple avenues exist to obtain Neotoma data, including the Explorer map-based interface, an application programming interface, the neotoma R package, and digital object identifiers. As the volume and variety of scientific data grow, community-curated data resources such as Neotoma have become foundational infrastructure for big data science.

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“…Elevated snail mortality implies periods of reduced predation on microbial films, the food source of the aquatic snails 47 . The coexistence of macroinvertebrates and marine stromatolites has recently been reported for a site in South Africa 16 , suggesting that metazoan co-occurrence may play a reduced role in limiting stromatolite growth 48 , 49 . However, we observed that areas with abundant living snails, including Phrantela , the largest of the gastropod species that could potentially cause significant damage by grazing, did not coincide with patches of stromatolite occurrence.…”

Section: Resultsmentioning

confidence: 98%

Stromatolites on the rise in peat-bound karstic wetlands

Proemse

Eberhard

Sharples

et al. 2017

Sci Rep

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Stromatolites are the oldest evidence for life on Earth, but modern living examples are rare and predominantly occur in shallow marine or (hyper-) saline lacustrine environments, subject to exotic physico-chemical conditions. Here we report the discovery of living freshwater stromatolites in cool-temperate karstic wetlands in the Giblin River catchment of the UNESCO-listed Tasmanian Wilderness World Heritage Area, Australia. These stromatolites colonize the slopes of karstic spring mounds which create mildly alkaline (pH of 7.0-7.9) enclaves within an otherwise uniformly acidic organosol terrain. The freshwater emerging from the springs is Ca-HCO3 dominated and water temperatures show no evidence of geothermal heating. Using 16 S rRNA gene clone library analysis we revealed that the bacterial community is dominated by Cyanobacteria, Alphaproteobacteria and an unusually high proportion of Chloroflexi, followed by Armatimonadetes and Planctomycetes, and is therefore unique compared to other living examples. Macroinvertebrates are sparse and snails in particular are disadvantaged by the development of debilitating accumulations of carbonate on their shells, corroborating evidence that stromatolites flourish under conditions where predation by metazoans is suppressed. Our findings constitute a novel habitat for stromatolites because cool-temperate freshwater wetlands are not a conventional stromatolite niche, suggesting that stromatolites may be more common than previously thought.

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The rise and fall of stromatolites in shallow marine environments

Cited by 98 publications

References 35 publications

Macrostrat: a platform for geological data integration and deep-time Earth crust research

Macrostrat: a platform for geological data integration and deep-time Earth crust research

The Neotoma Paleoecology Database, a multiproxy, international, community-curated data resource

Stromatolites on the rise in peat-bound karstic wetlands

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