Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

ACER project members; Sanchez Goñi, Maria Fernanda; Desprat, Stéphanie; Daniau, Anne-Laure; Burbridge, Rachel E; Mayle, Francis E; Killeen, Timothy J (2017): CLAM age model and pollen profile of sediment core Laguna_Bella_Vista [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.872881

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX CitationShow MapGoogle Earth

Related to:
Burbridge, Rachel E; Mayle, Francis E; Killeen, Timothy J (2004): Fifty-thousand-year vegetation and climate history of Noel Kempff Mercado National Park, Bolivian Amazon. Quaternary Research, 61(2), 215-230, https://doi.org/10.1016/j.yqres.2003.12.004
Sanchez Goñi, Maria Fernanda; Desprat, Stéphanie; Daniau, Anne-Laure; Bassinot, Franck C; Polanco-Martínez, Josué M; Harrison, Sandy P; Allen, Judy R M; Anderson, R Scott; Behling, Hermann; Bonnefille, Raymonde; Burjachs, Francesc; Carrión, José S; Cheddadi, Rachid; Clark, James S; Combourieu-Nebout, Nathalie; Courtney-Mustaphi, Colin J; DeBusk, Georg H; Dupont, Lydie M; Finch, Jemma M; Fletcher, William J; Giardini, Marco; González, Catalina; Gosling, William D; Grigg, Laurie D; Grimm, Eric C; Hayashi, Ryoma; Helmens, Karin F; Heusser, Linda E; Hill, Trevor R; Hope, Geoffrey; Huntley, Brian; Igarashi, Yaeko; Irino, Tomohisa; Jacobs, Bonnie Fine; Jiménez-Moreno, Gonzalo; Kawai, Sayuri; Kershaw, A Peter; Kumon, Fujio; Lawson, Ian T; Ledru, Marie-Pierre; Lézine, Anne-Marie; Liew, Ping-Mei; Magri, Donatella; Marchant, Robert; Margari, Vasiliki; Mayle, Francis E; McKenzie, G Merna; Moss, Patrick T; Müller, Stefanie; Müller, Ulrich C; Naughton, Filipa; Newnham, Rewi M; Oba, Tadamichi; Pérez-Obiol, Ramon P; Pini, Roberta; Ravazzi, Cesare; Roucoux, Katherine H; Rucina, Stephen M; Scott, Louis; Takahara, Hikaru; Tzedakis, Polychronis C; Urrego, Dunia H; van Geel, Bas; Valencia, Bryan G; Vandergoes, Marcus J; Vincens, Annie; Whitlock, Cathy L; Willard, Debra A; Yamamoto, Masanobu (2017): The ACER pollen and charcoal database: a global resource to document vegetation and fire response to abrupt climate changes during the last glacial period. Earth System Science Data, 9(2), 679-695, https://doi.org/10.5194/essd-9-679-2017
Coverage:
Latitude: -13.616670 * Longitude: -61.550000
Minimum DEPTH, sediment/rock: 0.020 m * Maximum DEPTH, sediment/rock: 2.970 m
Event(s):
Laguna_Bella_Vista * Latitude: -13.616670 * Longitude: -61.550000 * Elevation: 600.0 m
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
DEPTH, sediment/rockDepth sedmGeocode
Calendar age, minimum/youngCal age minka BPSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)CLAM_min95
Calendar age, maximum/oldCal age maxka BPSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)CLAM_max95
Calendar ageCal ageka BPSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)CLAM_best
Accumulation modelAccu modela/cmSanchez Goñi, Maria FernandaClassical age-modeling approach, CLAM (Blaauw, 2010)
Type of age modelAge model typeSanchez Goñi, Maria Fernanda
Sample IDSample IDSanchez Goñi, Maria FernandaACER sample ID
AcalyphaAcalypha#Mayle, Francis ECounting, palynology
AlchorneaAlchornea#Mayle, Francis ECounting, palynology
10 AlnusAln#Mayle, Francis ECounting, palynology
11 AlternantheraAlternant#Mayle, Francis ECounting, palynology
12 AmanoaAmanoa#Mayle, Francis ECounting, palynology
13 AmaranthaceaeAmaceae#Mayle, Francis ECounting, palynology
14 AnadenantheraAnadenanthera#Mayle, Francis ECounting, palynology
15 AnnonaceaeAnnona#Mayle, Francis ECounting, palynology
16 AparisthmiumAparisthmium#Mayle, Francis ECounting, palynology
17 Apeiba tibourbouA. tibourbou#Mayle, Francis ECounting, palynology
18 ApocynaceaeApoceae#Mayle, Francis ECounting, palynology
19 ArecaceaeArecceae#Mayle, Francis ECounting, palynology
20 AsteraceaeAstae#Mayle, Francis ECounting, palynology
21 Astronium fraxinifoliumA. fraxinifolium#Mayle, Francis ECounting, palynology
22 Astronium urundeuvaA. urundeuva#Mayle, Francis ECounting, palynology
23 Byrsonima/Dalbergia/MachaeriumByrsonima/Dalbergia/Machaerium#Mayle, Francis ECounting, palynology
24 CecropiaCecropia#Mayle, Francis ECounting, palynology
25 CeltisCel#Mayle, Francis ECounting, palynology
26 cf. Anacardiaceaecf. Anacardiaceae#Mayle, Francis ECounting, palynology
27 cf. Annonaceae/Rubiaceaecf. Annonaceae/Rubiaceae#Mayle, Francis ECounting, palynology
28 cf. Aspidospermacf. Aspidosperma#Mayle, Francis ECounting, palynology
29 cf. Begoniacf. Begonia#Mayle, Francis ECounting, palynology
30 cf. Elaeolumacf. Elaeoluma#Mayle, Francis ECounting, palynology
31 cf. Farameacf. Faramea#Mayle, Francis ECounting, palynology
32 cf. Flacourtiaceaecf. Flacourtiaceae#Mayle, Francis ECounting, palynology
33 cf. Polygalacf. Polygala#Mayle, Francis ECounting, palynology
34 cf. Pouteriacf. Pouteria#Mayle, Francis ECounting, palynology
35 cf. Psychotriacf. Psychotria#Mayle, Francis ECounting, palynology
36 cf. Sclerolobiumcf. Sclerolobium#Mayle, Francis ECounting, palynology
37 cf. Stachytarphetacf. Stachytarpheta#Mayle, Francis ECounting, palynology
38 cf. Talisiacf. Talisia#Mayle, Francis ECounting, palynology
39 cf. Trichiliacf. Trichilia#Mayle, Francis ECounting, palynology
40 cf. Vernoniacf. Vernonia#Mayle, Francis ECounting, palynology
41 ChamaesyceChamaesyce#Mayle, Francis ECounting, palynology
42 Combretaceae/MelastomataceaeComb/Mela#Mayle, Francis ECounting, palynology
43 CopaiferaCopaifera#Mayle, Francis ECounting, palynology
44 CrotonCroton#Mayle, Francis ECounting, palynology
45 Cupania/MataybaCupania/Matayba#Mayle, Francis ECounting, palynology
46 CupheaCuphea#Mayle, Francis ECounting, palynology
47 Curatella americanaC. americana#Mayle, Francis ECounting, palynology
48 CyperaceaeCypae#Mayle, Francis ECounting, palynology
49 Didymopanax distractiflorus/D. vinosusD. distractiflorus/D. vinosus#Mayle, Francis ECounting, palynology
50 Elaeoluma glabrescensE. glabrescens#Mayle, Francis ECounting, palynology
51 EryngiumEry#Mayle, Francis ECounting, palynology
52 ErythroxylumErythroxylum#Mayle, Francis ECounting, palynology
53 GallesiaGallesia#Mayle, Francis ECounting, palynology
54 GenipaGenipa#Mayle, Francis ECounting, palynology
55 Heliocarpus americanusH. americanus#Mayle, Francis ECounting, palynology
56 HyptisHyptis#Mayle, Francis ECounting, palynology
57 IlexIle#Mayle, Francis ECounting, palynology
58 Pollen indeterminataPollen indet#Mayle, Francis ECounting, palynology
59 IpomoeaIpomoea#Mayle, Francis ECounting, palynology
60 IsoetesIso#Mayle, Francis ECounting, palynology
61 LeguminosaeLeg#Mayle, Francis ECounting, palynology
62 LudwigiaLud#Mayle, Francis ECounting, palynology
63 MacrolobiumMacrolobium#Mayle, Francis ECounting, palynology
64 Magonia pubescensM. pubescens#Mayle, Francis ECounting, palynology
65 MalpighiaceaeMalpceae#Mayle, Francis ECounting, palynology
66 Mauritia/MauritiellaMauritia/Mauritiella#Mayle, Francis ECounting, palynology
67 MeliaceaeMeliaceae#Mayle, Francis ECounting, palynology
68 Meliaceae/SapotaceaeMeliaceae/Sapotaceae#Mayle, Francis ECounting, palynology
69 MimosaMimosa#Mayle, Francis ECounting, palynology
70 Moraceae/UrticaceaeMor/Urt#Mayle, Francis ECounting, palynology
71 MyrsineMyrsine#Mayle, Francis ECounting, palynology
72 MyrtaceaeMytae#Mayle, Francis ECounting, palynology
73 Paullinia/RoupalaPaullinia/Roupala#Mayle, Francis ECounting, palynology
74 PiperPiper#Mayle, Francis ECounting, palynology
75 PoaceaePoac#Mayle, Francis ECounting, palynology
76 PodocarpusPod#Mayle, Francis ECounting, palynology
77 PolygalaceaePgaae#Mayle, Francis ECounting, palynology
78 Polygonum acuminatumP. acuminatum#Mayle, Francis ECounting, palynology
79 PolypodiaceaePocae#Mayle, Francis ECounting, palynology
80 Posoqueria latifoliaP. latifolia#Mayle, Francis ECounting, palynology
81 PsittacanthusPsittacanthus#Mayle, Francis ECounting, palynology
82 PsychotriaPsychotr#Mayle, Francis ECounting, palynology
83 SagittariaSgt#Mayle, Francis ECounting, palynology
84 SapiumSapium#Mayle, Francis ECounting, palynology
85 SapotaceaeSapeae#Mayle, Francis ECounting, palynology
86 SebastianiaSebastiania#Mayle, Francis ECounting, palynology
87 Simarouba amaraS. amara#Mayle, Francis ECounting, palynology
88 SolanumSol#Mayle, Francis ECounting, palynology
89 SpondiasSpondias#Mayle, Francis ECounting, palynology
90 SymphoniaSymphonia#Mayle, Francis ECounting, palynology
91 TapiriraTapirira#Mayle, Francis ECounting, palynology
92 TremaTrema#Mayle, Francis ECounting, palynology
93 TyphaTyp#Mayle, Francis ECounting, palynology
94 UnknownUnknown#Mayle, Francis ECounting, palynology
Size:
3424 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Depth sed [m]

Cal age min [ka BP]

Cal age max [ka BP]

Cal age [ka BP]

Accu model [a/cm]

Age model type

Sample ID

Acalypha [#]

Alchornea [#]
10 
Aln [#]
11 
Alternant [#]
12 
Amanoa [#]
13 
Amaceae [#]
14 
Anadenanthera [#]
15 
Annona [#]
16 
Aparisthmium [#]
17 
A. tibourbou [#]
18 
Apoceae [#]
19 
Arecceae [#]
20 
Astae [#]
21 
A. fraxinifolium [#]
22 
A. urundeuva [#]
23 
Byrsonima/Dalbergia/Machaerium [#]
24 
Cecropia [#]
25 
Cel [#]
26 
cf. Anacardiaceae [#]
27 
cf. Annonaceae/Rubiaceae [#]
28 
cf. Aspidosperma [#]
29 
cf. Begonia [#]
30 
cf. Elaeoluma [#]
31 
cf. Faramea [#]
32 
cf. Flacourtiaceae [#]
33 
cf. Polygala [#]
34 
cf. Pouteria [#]
35 
cf. Psychotria [#]
36 
cf. Sclerolobium [#]
37 
cf. Stachytarpheta [#]
38 
cf. Talisia [#]
39 
cf. Trichilia [#]
40 
cf. Vernonia [#]
41 
Chamaesyce [#]
42 
Comb/Mela [#]
43 
Copaifera [#]
44 
Croton [#]
45 
Cupania/Matayba [#]
46 
Cuphea [#]
47 
C. americana [#]
48 
Cypae [#]
49 
D. distractiflorus/D. vinosus [#]
50 
E. glabrescens [#]
51 
Ery [#]
52 
Erythroxylum [#]
53 
Gallesia [#]
54 
Genipa [#]
55 
H. americanus [#]
56 
Hyptis [#]
57 
Ile [#]
58 
Pollen indet [#]
59 
Ipomoea [#]
60 
Iso [#]
61 
Leg [#]
62 
Lud [#]
63 
Macrolobium [#]
64 
M. pubescens [#]
65 
Malpceae [#]
66 
Mauritia/Mauritiella [#]
67 
Meliaceae [#]
68 
Meliaceae/Sapotaceae [#]
69 
Mimosa [#]
70 
Mor/Urt [#]
71 
Myrsine [#]
72 
Mytae [#]
73 
Paullinia/Roupala [#]
74 
Piper [#]
75 
Poac [#]
76 
Pod [#]
77 
Pgaae [#]
78 
P. acuminatum [#]
79 
Pocae [#]
80 
P. latifolia [#]
81 
Psittacanthus [#]
82 
Psychotr [#]
83 
Sgt [#]
84 
Sapium [#]
85 
Sapeae [#]
86 
Sebastiania [#]
87 
S. amara [#]
88 
Sol [#]
89 
Spondias [#]
90 
Symphonia [#]
91 
Tapirira [#]
92 
Trema [#]
93 
Typ [#]
94 
Unknown [#]
0.020186750500102002041214212000000000001000008000008200430001240660000400016502001800050020000100000013
0.1001867631400303000010205822000000000110200070000016201400000170940000100120521002400020003000200007016
0.1801867710280040200004340214310000000001103003160000017500200001280950000400027242043100020006020310000021
0.260186782180060010002220313900110000020030003000012310160000018092000020001560310480001000500000000009
0.3401867912100106000013206610000000000120200090030326100100002250121000040018853307700020009000100000014
0.40018680615000190000016041860000000000108000600005347003100013602431000290018221107200041007000000011020
0.480186816800207001010907119100000000020400030011525220610403240330100017000862220108000500012000000000017
0.540186824900129000016121153215000000000440700271000937340670112510133101003402083022012400080007010000000027
0.60018683010000120000151204430000000000001002200002916001660000550699000101200024030113900070018010020002029
0.68018684312200020000101704114000000000100100420000312500042400131032420100800121020013300110009000000000024
0.76018685290004010001013013000100000000101002400104430010232000210241000003030200110127110600011010050000025
0.8401868624100110000611912600000000000000003700022532000310000430131001001000270100121120400023000000001024
0.9201868721000012001021707110000100000101103500021344110100000310170201004001280001103000200028000000000029
1.00018688170000100001216074200000000010010000002123410008502201902002000010000280001145002600150000000000029
1.08018689130021000003321151600000000010000025000023411008100001702442110015030180113136100800041000000000029
1.2001869006002000020371507050000000010001201400001454010140011300236101009000330210134011510050000002001028
1.28011.5935011.8788011.70370227.603Linear regression1869143103000000011301119210000000010001012001027121005101001705058100012000054242082000400010000001000026
1.32012.4795012.7540012.61410227.603Linear regression18692630011000000111061840005000001000000300002734010830002310682600100100004804108500050003000000000032
1.39042.1004045.0313043.1635045.080Linear regression1869301010100000002203507000000000000700340000035000120000130017620000101089326010120050013010040010028
1.47042.5752045.1933043.5242045.080Linear regression1869421500210000002302211000000000000050017000103210110000052102371000000007848609300120011010060001021
1.55043.0160045.3709043.8848045.080Linear regression186951600310000002301810000000000000470015001002830060000339011250200000121001516620110000000000000062
1.63043.3880045.5724044.2455045.080Linear regression186960130001000000120344180006000000003500210000003800160000432028260100100035332507921010000000000000063
1.69043.6559045.7386044.5159045.080Linear regression1869742103000000070036060000000000107400530000031010301001134035301000000234102908400020000000000001099
1.77043.9813046.0074044.8766045.080Linear regression186982800100000015101204000000000000400025001003000050000487010390300000115212004230010000000020000055
1.83044.2160046.2225045.1471045.080Linear regression1869901101110000002001416000000000100540043000002610010000271014401400001021381307810040000000020001033
1.87044.3642046.4218045.3274045.080Linear regression1870001100000000010011030000010000017110216000003822400040029800120000000041012402700030123010000000129
1.97044.7211046.9459045.7782045.080Linear regression18701011302010000001800402000101000110570212200001360101000002913250005200010413062010302111610000000015
2.05044.9862047.4202046.1388045.080Linear regression1870201980001200000131010200000000000028000710000300000000101751110000100001262058000203001300000100014
2.13045.2571047.9186046.4995045.080Linear regression1870302070200000000110040000000100000080013000003100000000010700010001001102700470002000040000000009
2.27045.6546048.8480047.1306045.080Linear regression187040103100010002025000210001000000002000100003530000000001340201000510000830840003000720000000003
2.37045.9305049.5162047.5814045.080Linear regression187050150000120021014204040000000000001100020001080000100000112043200020114019106511040112500000100012
2.47046.1946050.1848048.0322045.080Linear regression187061550002104000141083100000000010040006011002901015000099001100140001907205900040000600000000020
2.5701870712300000000009003010000000000001100031020132000100000500001002000050420410004000011000000003
2.65018708630001000001102013513000000000020160003500000380100100001430036010000001703807300030000021000000014
2.73018709180013000001170211150000000000101650004001001723011000094001100000002503207700040001000010000018
2.810187102200230140000027403010000000000000430005000003220000000097001100000001602001090004000100000000007
2.890187112110140110000054306030000000002005110290000121110010010880010001000070100600005000001000100005
2.9701871204050010000025005020000000000003700010000017200020010590001001000040300420000000001000100105