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

doi:10.1111/geb.13735

	BioDeepTime: A database of biodiversity time series for modern and fossil assemblages
	Smith, Jansen 1,2; Rillo, Marina C. C.3; Kocsis, Adam T.2; Dornelas, Maria 4,5; Fastovich, David 6,7; Huang, Huai-Hsuan M.8; Jonkers, Lukas 9; Kiessling, Wolfgang 2; Li, Qijian 10; Liow, Lee Hsiang 11
刊名	GLOBAL ECOLOGY AND BIOGEOGRAPHY
	2023-07-25
页码	10
关键词	deep-time global palaeobiology species richness temporal timescale turnover
ISSN号	1466-822X
DOI	10.1111/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.
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关键词	CLIMATE ; MARINE ; SCALE ; RATES ; COMPLETENESS ; DEGRADATION ; PACIFIC ; SARDINE ; ECOLOGY ; RECORD
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
内容类型	期刊论文
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.