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ACER project members; Sanchez Goñi, Maria Fernanda; Desprat, Stéphanie; Daniau, Anne-Laure; DeBusk, Georg H (2017): CLAM age model and pollen profile of sediment core Lake_Malawi [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.872886

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

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Related to:
DeBusk, Georg H (1998): A 37,500-year pollen record from Lake Malawi and implications for the biogeography of afromontane forests. Journal of Biogeography, 25(3), 479-500, https://doi.org/10.1046/j.1365-2699.1998.2530479.x
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: -11.220000 * Longitude: 34.420000
Minimum DEPTH, sediment/rock: 0.000 m * Maximum DEPTH, sediment/rock: 10.910 m
Event(s):
Lake_Malawi * Latitude: -11.220000 * Longitude: 34.420000 * Elevation: 470.0 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
Acacia-typeAcacia-T#DeBusk, Georg HCounting, palynology
AcalyphaAcalypha#DeBusk, Georg HCounting, palynology
10 AeschynomeneAeschynom#DeBusk, Georg HCounting, palynology
11 AlchorneaAlchornea#DeBusk, Georg HCounting, palynology
12 Amaranthaceae/ChenopodiaceaeChen/Amar#DeBusk, Georg HCounting, palynology
13 Ascolepis-typeAscolepis-T#DeBusk, Georg HCounting, palynology
14 AsteraceaeAstae#DeBusk, Georg HCounting, palynology
15 Blighia-typeBlighi-T#DeBusk, Georg HCounting, palynology
16 BrachystegiaBrachyst#DeBusk, Georg HCounting, palynology
17 BrideliaBridelia#DeBusk, Georg HCounting, palynology
18 CanthiumCanthium#DeBusk, Georg HCounting, palynology
19 CassiaCia#DeBusk, Georg HCounting, palynology
20 CeltisCel#DeBusk, Georg HCounting, palynology
21 CliffortiaCliffortia#DeBusk, Georg HCounting, palynology
22 Combretaceae/MelastomataceaeComb/Mela#DeBusk, Georg HCounting, palynology
23 CommiphoraCommipho#DeBusk, Georg HCounting, palynology
24 Craterispermum-typeCraterispermum-T#DeBusk, Georg HCounting, palynology
25 CrotonCroton#DeBusk, Georg HCounting, palynology
26 CyperaceaeCypae#DeBusk, Georg HCounting, palynology
27 Dennstaedtia-typeDennstaedtia-T#DeBusk, Georg HCounting, palynology
28 DombeyaDombeya#DeBusk, Georg HCounting, palynology
29 Elaeis guineensisElaeguin#DeBusk, Georg HCounting, palynology
30 ElephantopusElephantopus#DeBusk, Georg HCounting, palynology
31 EricaceaeEriae#DeBusk, Georg HCounting, palynology
32 EuphorbiaceaeEupae#DeBusk, Georg HCounting, palynology
33 Faurea-typeFaurea-T#DeBusk, Georg HCounting, palynology
34 FicusFic#DeBusk, Georg HCounting, palynology
35 HymenocardiaHymenoca#DeBusk, Georg HCounting, palynology
36 HyphaeneHyph#DeBusk, Georg HCounting, palynology
37 IlexIle#DeBusk, Georg HCounting, palynology
38 Pollen indeterminataPollen indet#DeBusk, Georg HCounting, palynology
39 Ixora-typeIxora-T#DeBusk, Georg HCounting, palynology
40 Lannea-typeLannea-T#DeBusk, Georg HCounting, palynology
41 Laportea-typeLaportea-T#DeBusk, Georg HCounting, palynology
42 Loranthus-typeLoranthus-T#DeBusk, Georg HCounting, palynology
43 Lycopodium strictum-typeL. strictum-T#DeBusk, Georg HCounting, palynology
44 Lycopodium-typeLyc-T#DeBusk, Georg HCounting, palynology
45 MacarangaMacaranga#DeBusk, Georg HCounting, palynology
46 Maclura-typeMaclura-T#DeBusk, Georg HCounting, palynology
47 Mimusops-typeMimusops-T#DeBusk, Georg HCounting, palynology
48 MyricaMyr#DeBusk, Georg HCounting, palynology
49 Olea africana-typeO. africana-T#DeBusk, Georg HCounting, palynology
50 Olea capensis-typeO. capensis-T#DeBusk, Georg HCounting, palynology
51 PhoenixPhoenix#DeBusk, Georg HCounting, palynology
52 PhyllanthusPhyllanthus#DeBusk, Georg HCounting, palynology
53 Piper-typePiper-T#DeBusk, Georg HCounting, palynology
54 PoaceaePoac#DeBusk, Georg HCounting, palynology
55 PodocarpusPod#DeBusk, Georg HCounting, palynology
56 Polypodiaceae-typePolae-T#DeBusk, Georg HCounting, palynology
57 PolypodialesPoles#DeBusk, Georg HCounting, palynology
58 PteridophytaPteridophyta#DeBusk, Georg HCounting, palynology
59 PterisPes#DeBusk, Georg HCounting, palynology
60 RubiaceaeRubae#DeBusk, Georg HCounting, palynology
61 Selaginella-typeSelaginella-T#DeBusk, Georg HCounting, palynology
62 Syzygium-typeSyz-T#DeBusk, Georg HCounting, palynology
63 TremaTrema#DeBusk, Georg HCounting, palynology
64 TyphaTyp#DeBusk, Georg HCounting, palynology
65 UapacaUapaca#DeBusk, Georg HCounting, palynology
66 UnknownUnknown#DeBusk, Georg HCounting, palynology
67 Urtica-typeUrt-T#DeBusk, Georg HCounting, palynology
68 UrticaceaeUrtae#DeBusk, Georg HCounting, palynology
Size:
3702 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

Acacia-T [#]

Acalypha [#]
10 
Aeschynom [#]
11 
Alchornea [#]
12 
Chen/Amar [#]
13 
Ascolepis-T [#]
14 
Astae [#]
15 
Blighi-T [#]
16 
Brachyst [#]
17 
Bridelia [#]
18 
Canthium [#]
19 
Cia [#]
20 
Cel [#]
21 
Cliffortia [#]
22 
Comb/Mela [#]
23 
Commipho [#]
24 
Craterispermum-T [#]
25 
Croton [#]
26 
Cypae [#]
27 
Dennstaedtia-T [#]
28 
Dombeya [#]
29 
Elaeguin [#]
30 
Elephantopus [#]
31 
Eriae [#]
32 
Eupae [#]
33 
Faurea-T [#]
34 
Fic [#]
35 
Hymenoca [#]
36 
Hyph [#]
37 
Ile [#]
38 
Pollen indet [#]
39 
Ixora-T [#]
40 
Lannea-T [#]
41 
Laportea-T [#]
42 
Loranthus-T [#]
43 
L. strictum-T [#]
44 
Lyc-T [#]
45 
Macaranga [#]
46 
Maclura-T [#]
47 
Mimusops-T [#]
48 
Myr [#]
49 
O. africana-T [#]
50 
O. capensis-T [#]
51 
Phoenix [#]
52 
Phyllanthus [#]
53 
Piper-T [#]
54 
Poac [#]
55 
Pod [#]
56 
Polae-T [#]
57 
Poles [#]
58 
Pteridophyta [#]
59 
Pes [#]
60 
Rubae [#]
61 
Selaginella-T [#]
62 
Syz-T [#]
63 
Trema [#]
64 
Typ [#]
65 
Uapaca [#]
66 
Unknown [#]
67 
Urt-T [#]
68 
Urtae [#]
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0.9102807116020007201000813054000007317003627001105200405000147181111100221219017
1.11011.0033011.9208011.3983056.134Polynomial regression-order 2280801401100680000071204910004630200511810000242108111161120150010302718017
1.30012.0238012.9694012.4561055.163Polynomial regression-order 22809014010104630040808046000018313003714001006131501000017050103110201821013
1.51013.1058014.1457013.6038054.090Polynomial regression-order 22810020020005310010804091000034114005881110053060603121170110100103726020
1.71014.0962015.2611014.6759053.069Polynomial regression-order 2281112700102841004040106420001121150035143011059031601016030111000110525015
1.91015.0524016.3772015.7275052.047Polynomial regression-order 2281203700010400010012040753010282230053151210041101040112134080110011431021
2.11015.9847017.4894016.7588051.025Polynomial regression-order 2281302903000330012018100401000242010039261011062213204017720900001211024015
2.31016.9037018.5764017.7696050.003Polynomial regression-order 228140480200042002305030490000170211057210200065061600122500130010220924119
2.50017.7622019.5937018.7109049.032Polynomial regression-order 2281502001000322001010001561000310201104410500101070301601015510093000021528119
2.71018.6907020.6948019.7298047.959Polynomial regression-order 22816018010421700100802059800097403006316002008504542001151121162220212934232
2.91019.5614021.7177020.6793046.937Polynomial regression-order 22817010001112010120300239500013112010150120001010004952110100292225010220633110
3.11020.4135022.7126021.6083045.915Polynomial regression-order 228181810124100100020208631211735120165100032170241429152140411251000020040018
3.30021.2086023.6414022.4720044.945Polynomial regression-order 2281905020001110000301165000015510000431300010223472800014426116312030002716
3.51022.0721024.6368023.4051043.872Polynomial regression-order 228200124005012001010307931101752000052801030301142811111624025023010013809
3.71022.8741025.5577024.2728042.850Polynomial regression-order 228210210022020000010109231001341110150401130200352901011838139102010002338
3.91023.6637026.4616025.1201041.828Polynomial regression-order 22822070022211100021002690100933010047531000211311410109856023101020002207
4.10024.4046027.3006025.9061040.857Polynomial regression-order 2282303031211020012001165100015810000496000116001114520086730181300300120216
4.31025.2067028.1867026.7534039.784Polynomial regression-order 22824060211102000003010520000134110034615000027227114302089610211100000430010
4.52025.9891029.0546027.5781038.711Polynomial regression-order 228250001113020010120009270001911110361120100151161045000142440322010201225023
4.71026.6810029.8153028.3049037.741Polynomial regression-order 22826120210212210513150582000136100013911100103102129020148320141111002227014
4.91027.4015030.5923029.0500036.719Polynomial regression-order 22827030210312000014000631000105321043821010103216437020125361131000200226115
5.10028.0750031.3027029.7389035.748Polynomial regression-order 228280702201210020050005510007201201586120101010512100143332100000400222120
5.31028.7982032.0698030.4789034.675Polynomial regression-order 2282905031022200100800045000023210004715002000404290101595715110000012207
5.51029.4694032.7691031.1627033.653Polynomial regression-order 2283011206000000000030113620003331310422002000000480501694107000002004946
5.71030.1413033.4418031.8260032.631Polynomial regression-order 2283101903101211008011000330000141010053101000041012200016226081000300026033
5.91030.7897034.0867032.4690031.609Polynomial regression-order 228320270600121100433000300000511010048300100121171400116633070000100036012
6.08031.3262034.6190032.9994030.741Polynomial regression-order 22833014060011120050700031000034100217211100013012470001392406000000012909
6.31032.0242035.3150033.6935029.566Polynomial regression-order 2283401214201222101031412901001531101761010002711234000135290100100203027127
6.51032.6291035.8917034.2751028.544Polynomial regression-order 2283508020002120070100013600000530010704020002700333000133272120000010127017
6.72033.2350036.4690034.8638027.471Polynomial regression-order 2283612401120122000410100492100362100164120000412073200017242281010000743123
6.92033.7901036.9891035.4035026.449Polynomial regression-order 2283703306000220001009010261100152000250330002180062501012037050200202435015
7.12034.3269037.4892035.9227025.427Polynomial regression-order 22838013012000320114040202600003411001413110002100012112015354091010100522213
7.30034.7957037.9250036.3726024.507Polynomial regression-order 228391110501342100600012242000810300103410111105201763120838108001001133109
7.51035.3365038.4115036.8765023.434Polynomial regression-order 228400305002101000001005620007211000613101007212257410010195123022120024208
7.72035.8440038.8610037.3579022.361Polynomial regression-order 2284101106001000008110122710001087000040602010301512680107368111010011003309
7.91036.3013039.2500037.7741021.391Polynomial regression-order 2284201006000100031040014240101800000399200003103866010769408000001012607
8.10036.7322039.6130038.1717020.420Polynomial regression-order 228430401100010000204000342000870001240500000522210660008882180101203028014
8.31037.1994039.9933038.5898019.347Polynomial regression-order 2284407040003010000102056100083203035514000202045125500013681222020012134148
8.50037.5831040.3304038.9487018.376Polynomial regression-order 2284508030000100014060005620101092000242500010320244611084592100210100330116
8.71037.9900040.6775039.3238017.303Polynomial regression-order 228460501000122100203011452010107210004381000052041154110115590130001201115010
8.91038.3510041.0062039.6602016.281Polynomial regression-order 22847050410023000304000712001102110024414001004303448120116281140000301427215
9.12038.6970041.3412039.9914015.208Polynomial regression-order 22848060501202000214130701100744011159121011051151128000176392150000000244112
9.30038.9487041.6017040.2573014.289Polynomial regression-order 22849030500241000308010551000344101144801000310013703015518090111101024013
9.51039.2305041.9273040.5466013.216Polynomial regression-order 22850112012101230000010001501000132111037821001101301211018517070000200318210
9.79039.5397042.3318040.8974011.785Polynomial regression-order 22851030110101300303001480000040005014410023010000501013771141000002116016
10.10039.7963042.7591041.2389010.201Polynomial regression-order 2285212021000130010500037000004000101880002200000010201312012001000206015
10.50040.0114043.3342041.607108.157Polynomial regression-order 22853090900012000109101330100162010012220100011001701020617050000100223013
10.71028540110111011300000903439210110103304830000002041501020910013010100132118
10.910285550113012010000000077100006201140620000021001103100272251160100001001007