BioDeepTime: A database of biodiversity time series for modern and fossil assemblages

Smith, Julian F.; Rillo, Marina C.; Kocsis, Ádám T.; Dornelas, María; Fastovich, David; Huang, Huai-Hsuan May; Jonkers, Lukas; Kiessling, Wolfgang; Li, Qijian; Liow, Lee Hsiang; Margulis-Ohnuma, Miranda; Meyers, Stephen R.; Na, Lin; Penny, Amelia; Pippenger, Kate; Renaudie, Johan; Saupe, Erin E.; Steinbauer, Manuel J.; Sugawara, Mauro; Tomášových, Adam; Williams, John W.; Yasuhara, Moriaki; Finnegan, Seth; Hull, Pincelli M.

doi:10.1111/geb.13735

Cited by 10 publications

(2 citation statements)

References 62 publications

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“…Drilling depths, local SARs, hiatus frequencies and durations for model sections are all taken from the NSB database (Renaudie et al, 2020(Renaudie et al, , 2023. Age models are generally accurate to ca 0.5 Myr, although some poor models are significantly less precise (> 1 Myr errors) and others (orbitally tuned sections) are much more precise (ca 40 kyr) (Renaudie et al, 2020;Smith et al, 2023).…”

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Cenozoic pelagic accumulation rates and biased sampling of the deep sea record

Renaudie,

Lazarus

2024

Preprint

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Abstract. Global weathering is a primary control of the earth's climate over geologic time scales: converting atmospheric pCO2 into dissolved bicarbonate; with carbon sequestration by marine plankton as carbonate and organic carbon on the ocean floor. The accumulation rate of pelagic marine biogenic sediments are thus a measure of weathering history. Previous studies of Cenozoic pelagic sedimentation have yielded contrasting results, though most show a dramatic rise (up to 6 times) in rates over the Cenozoic. This contrasts with model expectations for approximate steady state in weathering, pCO2, and sequestration over time. Here we show that the Cenozoic record of sedimentation recovered by deep sea drilling has a strong, systematic bias towards lower rates of sedimentation with increasing age. When this bias is removed accumulation rates are shown to actually decline by ca 2 times over the Cenozoic. When accumulation area however is adjusted for changes in available deposition area, global weathering is shown to have nearly doubled at the Eocene-Oligocene boundary, but was otherwise essentially constant. Compilations of other metrics correlated to sedimentation rate (e.g. productivity, biotic composition) also must have a strong age bias, which will need to be considered in future paleoceanographic studies.

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“…The code for the model, as well as its ouput and the data presented here are all available in the Supplementary Materials. Age models are also given in the Supplementary materials while the underlying stratigraphic data are available from the Neptune (NSB) database (Renaudie et al, 2020(Renaudie et al, , 2023.…”

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confidence: 99%

Cenozoic pelagic accumulation rates and biased sampling of the deep sea record

Renaudie,

Lazarus

2024

Preprint

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The Micropaleoecology Framework: Evaluating Biotic Responses to Global Change Through Paleoproxy, Microfossil, and Ecological Data Integration

Woodhouse,

Swain,

Smith

et al. 2024

Ecology and Evolution

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The microfossil record contains abundant, diverse, and well‐preserved fossils spanning multiple trophic levels from primary producers to apex predators. In addition, microfossils often constitute and are preserved in high abundances alongside continuous high‐resolution geochemical proxy records. These characteristics mean that microfossils can provide valuable context for understanding the modern climate and biodiversity crises by allowing for the interrogation of spatiotemporal scales well beyond what is available in neo‐ecological research. Here, we formalize a research framework of “micropaleoecology,” which builds on a holistic understanding of global change from the environment to ecosystem level. Location: Global. Time period: Neoproterozoic‐Phanerozoic. Taxa studied: Fossilizing organisms/molecules. Our framework seeks to integrate geochemical proxy records with microfossil records and metrics, and draws on mechanistic models and systems‐level statistical analyses to integrate disparate records. Using multiple proxies and mechanistic mathematical frameworks extends analysis beyond traditional correlation‐based studies of paleoecological associations and builds a greater understanding of past ecosystem dynamics. The goal of micropaleoecology is to investigate how environmental changes impact the component and emergent properties of ecosystems through the integration of multi‐trophic level body fossil records (primarily using microfossils, and incorporating additional macrofossil data where possible) with contemporaneous environmental (biogeochemical, geochemical, and sedimentological) records. Micropaleoecology, with its focus on integrating ecological metrics within the context of paleontological records, facilitates a deeper understanding of the response of ecosystems across time and space to better prepare for a future Earth under threat from anthropogenic climate change.

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Increasing the equitability of data citation in paleontology: capacity building for the big data future

Smith,

Raja,

Clements

et al. 2023

Paleobiology

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Data compilations expand the scope of research; however, data citation practice lags behind advances in data use. It remains uncommon for data users to credit data producers in professionally meaningful ways. In paleontology, databases like the Paleobiology Database (PBDB) enable assessment of patterns and processes spanning millions of years, up to global scale. The status quo for data citation creates an imbalance wherein publications drawing data from the PBDB receive significantly more citations (median: 4.3 ± 3.5 citations/year) than the publications producing the data (1.4 ± 1.3 citations/year). By accounting for data reuse where citations were neglected, the projected citation rate for data-provisioning publications approached parity (4.2 ± 2.2 citations/year) and the impact factor of paleontological journals (n = 55) increased by an average of 13.4% (maximum increase = 57.8%) in 2019. Without rebalancing the distribution of scientific credit, emerging “big data” research in paleontology—and science in general—is at risk of undercutting itself through a systematic devaluation of the work that is foundational to the discipline.

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BioDeepTime: A database of biodiversity time series for modern and fossil assemblages

Cited by 10 publications

References 62 publications

Cenozoic pelagic accumulation rates and biased sampling of the deep sea record

Cenozoic pelagic accumulation rates and biased sampling of the deep sea record

The Micropaleoecology Framework: Evaluating Biotic Responses to Global Change Through Paleoproxy, Microfossil, and Ecological Data Integration

Increasing the equitability of data citation in paleontology: capacity building for the big data future

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