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

文献类型：期刊论文

作者Smith, Jansen1,2; Rillo, Marina C. C.3; Kocsis, Adam T.2; Dornelas, Maria4,5; Fastovich, David6,7; Huang, Huai-Hsuan M.8; Jonkers, Lukas9; Kiessling, Wolfgang2; Li, Qijian10; Liow, Lee Hsiang11
刊名GLOBAL ECOLOGY AND BIOGEOGRAPHY
出版日期2023-07-25
页码10
ISSN号1466-822X
关键词deep-time global palaeobiology species richness temporal timescale turnover
DOI10.1111/geb.13735
通讯作者Smith, Jansen(jansen.smith@fau.de)
英文摘要Motivation: We have little understanding of how communities respond to varying magnitudes and rates of environmental perturbations across temporal scales. BioDeepTime harmonizes assemblage time series of presence and abundance data to help facilitate investigations of community dynamics across timescales and the response of communities to natural and anthropogenic stressors. BioDeepTime includes time series of terrestrial and aquatic assemblages of varying spatial and temporal grain and extent from the present-day to millions of years ago. Main Types of Variables Included: BioDeepTime currently contains 7,437,847 taxon records from 10,062 assemblage time series, each with a minimum of 10 time steps. Age constraints, sampling method, environment and taxonomic scope are provided for each time series. Spatial Location and Grain: The database includes 8752 unique sampling locations from freshwater, marine and terrestrial ecosystems. Spatial grain represented by individual samples varies from quadrats on the order of several cm(2) to grid cells of similar to 100 km(2). Time Period and Grain: BioDeepTime in aggregate currently spans the last 451 million years, with the 10,062 modern and fossil assemblage time series ranging in extent from years to millions of years. The median extent of modern time series is 18.7 years and for fossil series is 54,872 years. Temporal grain, the time encompassed by individual samples, ranges from days to tens of thousands of years. Major Taxa and Level of Measurement: The database contains information on 28,777 unique taxa with 4,769,789 records at the species level and another 271,218 records known to the genus level, including time series of benthic and planktonic foraminifera, coccolithophores, diatoms, ostracods, plants (pollen), radiolarians and other invertebrates and vertebrates. There are to date 7012 modern and 3050 fossil time series in BioDeepTime. Software Format: SQLite, Comma-separated values.
WOS关键词CLIMATE ; MARINE ; SCALE ; RATES ; COMPLETENESS ; DEGRADATION ; PACIFIC ; SARDINE ; ECOLOGY ; RECORD
资助项目Chinese Academy of Sciences ; Deutsche Forschungsgemeinschaft ; Leverhulme Centre for Anthropocene Biodiversity ; Leverhulme Trust ; National Science Foundation ; National Science Research Council ; Volkswagen Foundation ; Youth Innovation Promotion Association[CAS-WX2021SF-0205] ; Leverhulme Prize[390741603] ; Leverhulme Prize[101044975] ; European Research Council[RC-2018- 021] ; Peter Buck Postdoc Fellowship[RPG- 201170] ; Peter Buck Postdoc Fellowship[RPG-2019- 402] ; Smithsonian Institution[DGE-2139841] ; Slovak Research and Development Agency[NE/V011405/1] ; Slovak Scientific Grant Agency[Az 96 796] ; [2019310] ; [724324] ; [APVV22-0523] ; [VEGA02/0106/23]
WOS研究方向Environmental Sciences & Ecology ; Physical Geography
语种英语
出版者WILEY
WOS记录号WOS:001036422500001
资助机构Chinese Academy of Sciences ; Deutsche Forschungsgemeinschaft ; Leverhulme Centre for Anthropocene Biodiversity ; Leverhulme Trust ; National Science Foundation ; National Science Research Council ; Volkswagen Foundation ; Youth Innovation Promotion Association ; Leverhulme Prize ; European Research Council ; Peter Buck Postdoc Fellowship ; Smithsonian Institution ; Slovak Research and Development Agency ; Slovak Scientific Grant Agency
源URL[http://ir.nigpas.ac.cn/handle/332004/42566]  
专题中国科学院南京地质古生物研究所
通讯作者Smith, Jansen
作者单位1.Paleontol Res Inst, Ithaca, NY USA
2.Friedrich Alexander Univ Erlangen Nurnberg FAU, Geozent Nordbayern, Loewenichstr 28, D-91054 Erlangen, Germany
3.Carl von Ossietzky Univ Oldenburg, ICBM Inst Chem & Biol Marine Environm, Wilhelmshaven, Germany
4.Univ St Andrews, St Andrews, Scotland
5.Fac Sci Univ Lisbon, MARE, Guia Marine Lab, Cascais, Portugal
6.Univ Wisconsin, Dept Geog, Madison, WI USA
7.Syracuse Univ, Dept Earth & Environm Sci, Syracuse, NY USA
8.Smithsonian Inst, Natl Museum Nat Hist, Dept Paleobiol, Washington, DC USA
9.Univ Bremen, MARUM Ctr Marine Environm Sci, Bremen, Germany
10.Chinese Acad Sci, Nanjing Inst Geol & Palaeontol, Ctr Excellence Life & Paleoenvironm, State Key Lab Palaeobiol & Stratig, Nanjing, Peoples R China
推荐引用方式
GB/T 7714		 Smith, Jansen,Rillo, Marina C. C.,Kocsis, Adam T.,et al. BioDeepTime: A database of biodiversity time series for modern and fossil assemblages[J]. GLOBAL ECOLOGY AND BIOGEOGRAPHY,2023:10.
APA Smith, Jansen.,Rillo, Marina C. C..,Kocsis, Adam T..,Dornelas, Maria.,Fastovich, David.,...&Hull, Pincelli M. M..(2023).BioDeepTime: A database of biodiversity time series for modern and fossil assemblages.GLOBAL ECOLOGY AND BIOGEOGRAPHY,10.
MLA Smith, Jansen,et al."BioDeepTime: A database of biodiversity time series for modern and fossil assemblages".GLOBAL ECOLOGY AND BIOGEOGRAPHY (2023):10.

入库方式： OAI收割

来源：南京地质古生物研究所

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