BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time SeriesABSTRACTMotivationMain Types of Variables IncludedSpatial Location and GrainTime Period and GrainMajor Taxa and Level of MeasurementSoftware Format

TitreBioTIME 2.0: Expanding and Improving a Database of Biodiversity Time SeriesABSTRACTMotivationMain Types of Variables IncludedSpatial Location and GrainTime Period and GrainMajor Taxa and Level of MeasurementSoftware Format
Type de publicationJournal Article
Year of Publication2025
AuteursDornelas, M, Antão, LH, Bates, AE, Brambilla, V, Chase, JM, Chow, CFY, Fontrodona‐Eslava, A, Magurran, AE, Martins, IS, Moyes, F, Sagouis, A, Adu‐Acheampong, S, Acquah‐Lamptey, D, Adam, D, Ajani, PA, Albaina, A, Almaraz, P, An, J, Anderson, RSigismund, Anderson, MJean Rober, Antunes, AZ, Arismendi, I, Armbrecht, L, Aros‐Mardones, P, Ashtamoorthy, SKalpuzha, Ayyappan, N, Badihi, G, Bailey, JJ, Baird, AH, Baird, MEdward, Balakrishnan, SVadakkethi, Barão‐Nóbrega, JAntónio L, Barash, A, Barbosa, M, Barlow, J, Bässler, C, Beaumont, M, Beenaerts, N, Begot, TOctavio, Beiroz, W, Beldade, R, Bell, DM, Bellgrove, A, Belmaker, J, Benedetti‐Cecchi, L, Benkwitt, CE, van Berkum, PMedina‐, Bestelmeyer, BT, Betts, MG, Billah, MKelvin, Bjorkman, AD, Błażewicz, M, Bloch, CP, Blowes, SA, Bode, A, Bogoni, JA, Bolger, T, Bonebrake, TC, Bonsdorff, E, Bottarin, R, Brokensha, LN, Brooker, RW, Brooks, AJ, Bruelheide, H, Bueno, TAlmeida, Laguionie, C, Campagnoli, MLopes, Cant, J, Caramaschi, EPellegrini, Caron, A, Carroll, T, Caruso, T, Carvajal‐Quintero, J, Castaldelli, G, Castañeda‐Moya, E, Castilho, PV, Cechin, SZanini, Chaikin, S, Chandrashekara, UManjunatha, Chase, TJ, Chen, CAllen, Cherem, JJosé, Choi, S‐W, Christensen, EM, Christianini, AV, Chu, JWing Four, Coad, P, Van Colen, C, Comte, L, Cooper, EJ, J. Cornelissen, HC, Cosson, E, Cotano, U, Crevecoeur, L, Crow, SKyle, Cumming, GS, Daga, VS, Damasceno, G, Daskalova, GN, Davies, CH, Davis, RA, Day, FP, De‐La‐Zerda, S, Deacon, AElizabeth, de Castro‐Arrazola, I, Degraer, S, Deonarinesingh, K, Diaz‐Ricaurte, JC, Dickman, CR, Dirilgen, T, Dolan, CJohn, J. Duffy, E, Dunn, TE, Durigan, G, Dwyer, C, Earl, S, Edelist, D, Edgar, GJohn, Edmondson, S, Elgin, AK, Ellingsen, KElsa, Elmendorf, SC, Eriksen, RS, Ernest, SKMorgan, Escribano, R, Eterovick, PCabral, Evans, BS, Everett, JD, Evtimova, V, Exton, DA, Fairbairn, AJ, Fantacini, FMoreli, Farah, FTurini, Farneda, FZanella, Favila, ME, Fernandez‐Fournier, P, Fernández‐Zapata, B, Ferreira, DF, Ferronato, C, Feu, CR du, Fidelis, A, Fifield, DA, Filho, VPicinatto, Filho, WMesquita, Fitt, RNL, Flechtmann, CAH, Fraser, WR, Fraser, DL, Freixas, L, Fryxell, J, Fundakowski, GJ, Gabara, SStanley, Gallois, E, Criado, MGarcía, García‐Berthou, E, Garrabou, J, Gates, AR, Gatti, RCazzolla, Gavioli, A, Gavriel, T, Gendreau‐Berthiaume, B, Giam, X, Gjerdrum, C, Glemnitz, M, Godbold, JAnnica, Gómez‐Gras, D, Gonçalves, RBarbosa, Goold, A, Gordon, RR, Goren, M, Goulart, FVilas Boas, Gould, WA, Grabowski, MM, Graham, NAJ, Graipel, MEduardo, Grange, LJ, Greenville, AC, Grossman, GD, Guinder, VA, Haase, P, Haskins, GN, Havstad, K, Hermanutz, L, Hickford, MJulian Ham, Hidalgo, P, Higuchi, P, Hoey, AS, Van Hoey, G, Hofgaard, A, Holeck, KT, Hollister, RD, Holmes, RT, Hoogenboom, MOdell, Hortal, J, Horton, T, Hsieh, C‐hao, Huffard, CL, Huikkonen, I‐M, Hurlbert, AH, Hynes, J, Irz, P, Ivanauskas, NMacedo, Iwayama, A, James, DK, Jandt, U, Jażdżewska, AM, Jocque, M, Johnston, ST, Jones, SEI, Jones, FAM, Jones, JA, Jucevica, E, Kagainis, U, Kagami, M, Kang, J, Ke, X, Keeley, EColleen, Kinnear, R, Klanderud, K, Klinck, U, van Klink, R, Klotz, S, Knockaert, C, Knutsen, H, Koivula, M, Kortz, A, Kriegel, P, Kuo, C‐Y, Kushner, DJ, Kyerematen, R, Lagarde, R, Lancaster, LT, Landau, OFrid, Van Landuyt, W, Larson, ER, Lazarus, M, Lee, CMin, Lefcheck, JS, Lembrechts, JJ, de Lima, RAFerreir, Lima, RGuimarães, Lima, NGS, Linares, C, Lindstrom, SC, Lloret, F, Lloyd, JDavid, Lobato, CMaria Card, Lodge, DM, Long, PRichard, López‐Abbate, C, López‐Baucells, A, Louzada, J, Louzao, M, Lugliè, A, Luiz, MRibeiro, S. Macdonald, E, Madin, JS, Magalhães, ALincoln Ba, Mahabir, R, Maphisa, D, Martin, TEdward, Martins, M, Martone, PT, Matesanz, S, Matsuzaki, S‐ichiroS, Matthews, TJ, Matthews, IMcCombe, Maxwell, CJ, McFarland, KP, McGill, BJ, McKnight, DMarie, McWilliam, MJ, Meador, J, Meesenburg, H, Meier, K, Melecis, V, Meserve, PL, Meyer, CFJ, Michelsen, A, Miiller, NOliva Roma, Milardi, M, Milchakova, N, Miller, RJ, Millett, J, Moens, T, Montag, LFA, Moore, J, Müller, J, Murali, A, Murray, SAnn, Myers‐Smith, IH, Myster, RW, Nakamura, M, Nayar, S, Neat, F, Nelson, JA, Nelson, MPaul, Nikolov, BP, Nouioua, R, Nsor, CAyine, O'Connor, M, Obodai, EAdzesiwor, Offland, AMarie, Ogaya, R, Ogura, H, Okey, TA, Olden, JD, Oliveira‐Santos, LGustavo Ro, Oliver, JC, Olsen, EMoland, Onipchenko, VG, Oro, D, Ozolins, D, Pabis, K, Padedda, BMario, Palacio, FX, Paquette, A, Pardede, STrilestari, Paterson, DM, Pausina, S, Pélissier, R, Pennings, SC, Penuelas, J, Pereira, FWalter, Peroni, N, Picó, S, Pilotto, F, Pinheiro, HTercio, Pizarro, O, Pizzolotto, R, Pomati, F, Pompeu, PSantos, Ponton, D, Post, E, Poulet, N, Pöyry, J, Presley, SJ, Prins, HHT, Provoost, P, Prudic, KL, Punjayil, V, Pyšek, P, Querner, P, Quimbayo, JPablo, Ramnarine, IW, Reed, DC, Reich, PBernard, Remillard, SM, Richards, C, Richardson, AJames, van Rijn, I, Rivera‐Monroy, VH, Rixen, C, Robinson, KPeter, Rocha, R, Rodrigues, RR, Rodrigues, C, de Roos, B, de Rossa‐Feres, Dde C, Rosselli, L, Rothlisberg, PCharles, Rubio, A, Rudstam, LG, Ruz, CS, Rybicki, NB, Van Ryckegem, G, Rypel, AL, Sadler, JP, Saito, VSatoru, Sal, S, Salomão, RPortela, Sanders, NJ, Santos, FAM, Santos, TGomes dos, Sarker, SKumar, Scanga, SE, Schaub, M, Schmidt, J, Schmidt, IKappel, Schooley, RL, Schultz, A, Scotti, A, Serpell‐Stevens, A, Serrano, FC, Shadwick, EH, Shaft, M, Sherry, TW, Shimabukuro, EMayumi, Siciński, J, Sievers, C, da Silva, FRodrigues, da Silva, ACarolina, Silveira, JM, Siqueira, T, Sivadasan, AKavidapadi, Sivan, PTheruvil P, Skuja, A, Slaughter, AL, Slingsby, JA, Smith, JR, Soares, BEleres, Solan, M, Souza, FMaluf, Souza, GBG, Sprague, JL, Stachow, U, J. Stadt, J, Stallings, CD, Stanchev, RHristov, Stanley, EH, Starzomski, BM, Sterza, JMauro, Stevens, M, F. Stiles, G, Stoll, S, Stuart‐Smith, RD, Súarez, YRondon, Super, L, Supp, SR, Sutela, T, Suthers, IM, Suuronen, A, Swadling, KM, Szydlowski, DK, Taki, H, Taylor, SJeanne Sne, Tedesco, PA, Teichert, N, Terui, A, Thiede, GP, Thimonier, A, Thomas, O, Thompson, PAllan, Thorn, S, Tiemann, JS, Toledo, LFelipe, Tolvanen, A, Toniato, MTeresa Zug, Torre, I, Tortato, MAdriano, Totsu, K, Trant, A, Twilley, RR, Urabe, H, Valade, P, Valdivia, N, Vallejo, MIsabel, Valone, TJ, Vanaverbeke, J, Vasconcelos, TSilveira, Vehanen, T, Venturoli, F, Verheye, HM, Vermeulen, HJannes Wie, Verstraeten, A, Vianna, M, Vieira, R, Vieira‐Alencar, JPaulo Sant, Vilella, M, Vitule, JRicardo Si, Van Vu, L, Waide, RB, Warren, PS, Wayman, JPaul, Webb, SL, Weigel, B, Welti, EAR, West, F, Westermann, F, Whalen, MA, White, EP, Widdicombe, CE, Williams, R, Williamson, M, Willig, MR, Wipf, S, Woehler, EJ, Woldering, A, Woods, KD, Xu, W‐B, Yahel, R, Yang, Z, Zawada, KJA, Zornosa‐Torres, C, Zvuloni, A
JournalGlobal Ecology and Biogeography
Volume34
Ticket5
Date PublishedJan-05-2025
ISSN1466-822X
Résumé

Motivation

Here, we make available a second version of the BioTIME database, which compiles records of abundance estimates for species in sample events of ecological assemblages through time. The updated version expands version 1.0 of the database by doubling the number of studies and includes substantial additional curation to the taxonomic accuracy of the records, as well as the metadata. Moreover, we now provide an R package (BioTIMEr) to facilitate use of the database.

Main Types of Variables Included

The database is composed of one main data table containing the abundance records and 11 metadata tables. The data are organised in a hierarchy of scales where 11,989,233 records are nested in 1,603,067 sample events, from 553,253 sampling locations, which are nested in 708 studies. A study is defined as a sampling methodology applied to an assemblage for a minimum of 2 years.

Spatial Location and Grain

Sampling locations in BioTIME are distributed across the planet, including marine, terrestrial and freshwater realms. Spatial grain size and extent vary across studies depending on sampling methodology. We recommend gridding of sampling locations into areas of consistent size.

Time Period and Grain

The earliest time series in BioTIME start in 1874, and the most recent records are from 2023. Temporal grain and duration vary across studies. We recommend doing sample-level rarefaction to ensure consistent sampling effort through time before calculating any diversity metric.

Major Taxa and Level of Measurement

The database includes any eukaryotic taxa, with a combined total of 56,400 taxa.

Software Format

csv and. SQL.

URLhttps://onlinelibrary.wiley.com/doi/10.1111/geb.70003
DOI10.1111/geb.v34.510.1111/geb.70003
Short TitleGlobal Ecol Biogeogr
Catégorie HCERES
ACL - Articles dans des revues à comité de lecture
Publication coopération et recherche SUD
Non