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Nigamatzyanova, Gulnara R; Frolova, Larisa A (2021): Pollen and spore record of lake sediments, the southern part of the Yamal peninsula, Russia [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.939401

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Abstract:
Palynological data have been obtained from the lake sediments, the southern part of the Yamal peninsula. For the spore-pollen analysis we used a 30 cm core of bottom sediments from one of the water bodies of the Yerkuta river basin with the code name K1 (68°15.320' N, 69°07.675' E), collected during the expedition in 2014. The study object is a small lake with a surface area of 0.43 km2 and maximum depth of 6.5 m. The water temperature of the lake averaged 9.2°C. Based on the hydrogen index value (pH= 6.93), the lake water was characterized as close to neutral. Based on the palynological analysis of the lake sediments we received a preliminary information on climatic changes, as well as on changes in vegetation character in the area around the water body. Reconstruction of vegetation around the lake has identified the development of a brush-grass-moss tundra. Shrubs are represented by Betula, Alnaster, Salix, Ericaceae. Herbaceous taxa are composed mainly by Cyperaceae, Poaceae with a small admixture of forbs. Mosses are represented by Sphagnum, Lycopodiaceae. It has been found that the lower part of the core from 29 cm to 18 cm formed in a cold and humid climate. The middle part of the column from 18 to 8 cm laid under more favorable conditions - an increase in the total concentration of pollen in the sediments was noticeable. The top of the column from 8 to 0 cm points to cold and humid climate. The vegetation, which produced the pollen at this period, was same to the modern type.
Keyword(s):
Paleolimnology; spore-pollen analysis; Yamal
Related to:
Nigamatzyanova, Gulnara R; Nigmatullin, Niyaz; Gareev, B I; Frolova, Larisa A (2021): Preliminary reconstruction of climate changes and vegetation cover inferred from pollen study of the arctic lake bottom sediments from the southwestern part of the Yamal Peninsula. 21st International Multidisciplinary Scientific GeoConference SGEM. 4, 415-421, https://doi.org/10.5593/sgem2021/4.1/s19.53
Nigamatzyanova, Gulnara R; Nigmatullin, Niyaz; Tumanov, Oleg; Gareev, Bulat; Frolova, Larisa A (2022): Pollen data from bottom sediments of a tundra lake in the Yerkuta River basin on the Yamal Peninsula. Data in Brief, 44, 108539, https://doi.org/10.1016/j.dib.2022.108539
Coverage:
Latitude: 68.255330 * Longitude: 69.127920
Date/Time Start: 2014-07-30T00:00:00 * Date/Time End: 2014-07-30T00:00:00
Minimum DEPTH, sediment/rock: 0.015 m * Maximum DEPTH, sediment/rock: 0.295 m
Event(s):
14-Ya-K1 * Latitude: 68.255330 * Longitude: 69.127920 * Date/Time: 2014-07-30T00:00:00 * Elevation: -6.0 m * Location: Erkuta * Campaign: Yamal2014 (Yamal2014) * Method/Device: Core (CORE) * Comment: Unnamed Lake
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Depth, top/minDepth topmNigamatzyanova, Gulnara R
Depth, bottom/maxDepth botmNigamatzyanova, Gulnara R
DEPTH, sediment/rockDepth sedmNigamatzyanova, Gulnara RGeocode
Sample IDSample IDNigamatzyanova, Gulnara R
PinusPinus%Nigamatzyanova, Gulnara RCounting
PiceaPicea%Nigamatzyanova, Gulnara RCounting
PinaceaePinae%Nigamatzyanova, Gulnara RCounting
LarixLar%Nigamatzyanova, Gulnara RCounting
AbiesAbies%Nigamatzyanova, Gulnara RCounting
10 EphedraEphedra%Nigamatzyanova, Gulnara RCounting
11 Betula spp.Betula spp.%Nigamatzyanova, Gulnara RCounting
12 TiliaTilia%Nigamatzyanova, Gulnara RCounting
13 CorylusCorylus%Nigamatzyanova, Gulnara RCounting
14 UlmusUlmus%Nigamatzyanova, Gulnara RCounting
15 AlnasterAlt%Nigamatzyanova, Gulnara RCounting
16 SalixSalix%Nigamatzyanova, Gulnara RCounting
17 EricaceaeEricac%Nigamatzyanova, Gulnara RCounting
18 ArtemisiaArtemisia%Nigamatzyanova, Gulnara RCounting
19 AmaranthaceaeAmaranthaceae%Nigamatzyanova, Gulnara RCounting
20 CyperaceaeCyperac%Nigamatzyanova, Gulnara RCounting
21 PoaceaePoac%Nigamatzyanova, Gulnara RCounting
22 CaryophyllaceaeCphae%Nigamatzyanova, Gulnara RCounting
23 AsteraceaeAsterac%Nigamatzyanova, Gulnara RCounting
24 BrassicaceaeBrassicac%Nigamatzyanova, Gulnara RCounting
25 Rubus chamaemorusRub.c%Nigamatzyanova, Gulnara RCounting
26 RanunculaceaeRanae%Nigamatzyanova, Gulnara RCounting
27 RosaceaeRosae%Nigamatzyanova, Gulnara RCounting
28 FabaceaeFabaceae%Nigamatzyanova, Gulnara RCounting
29 EpilobiumEpl%Nigamatzyanova, Gulnara RCounting
30 Herbae indeterminataHerbae indet%Nigamatzyanova, Gulnara RCounting
31 PotamogetonaceaePotamogetonaceae%Nigamatzyanova, Gulnara RCounting
32 TyphaceaeTyphaceae%Nigamatzyanova, Gulnara RCounting
33 EquisetaceaeEquisetaceae%Nigamatzyanova, Gulnara RCounting
34 PolypodiophytaPolypodiophyta%Nigamatzyanova, Gulnara RCounting
35 PolytrichumPoy%Nigamatzyanova, Gulnara RCounting
36 LycopodiaceaeLycopodiaceae%Nigamatzyanova, Gulnara RCounting
37 SphagnumSph%Nigamatzyanova, Gulnara RCounting
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
684 data points

Data

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


Depth top [m]

Depth bot [m]

Depth sed [m]

Sample ID

Pinus [%]

Picea [%]

Pinae [%]

Lar [%]

Abies [%]
10 
Ephedra [%]
11 
Betula spp. [%]
12 
Tilia [%]
13 
Corylus [%]
14 
Ulmus [%]
15 
Alt [%]
16 
Salix [%]
17 
Ericac [%]
18 
Artemisia [%]
19 
Amaranthaceae [%]
20 
Cyperac [%]
21 
Poac [%]
22 
Cphae [%]
23 
Asterac [%]
24 
Brassicac [%]
25 
Rub.c [%]
26 
Ranae [%]
27 
Rosae [%]
28 
Fabaceae [%]
29 
Epl [%]
30 
Herbae indet [%]
31 
Potamogetonaceae [%]
32 
Typhaceae [%]
33 
Equisetaceae [%]
34 
Polypodiophyta [%]
35 
Poy [%]
36 
Lycopodiaceae [%]
37 
Sph [%]
0.010.020.01519.516.890.660.660.000.0053.110.000.000.004.260.000.984.591.315.900.660.000.000.662.300.000.000.000.000.330.000.000.660.000.002.954.59
0.020.030.02527.553.774.090.000.000.0047.800.310.310.006.600.943.462.200.0010.690.000.310.001.570.630.310.000.310.310.000.000.000.310.630.002.205.66
0.030.040.03533.808.230.000.000.000.0050.320.000.000.003.480.631.902.851.2710.760.000.000.000.321.581.900.000.320.000.000.000.000.320.320.000.3211.71
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0.170.180.175178.033.680.000.000.000.0045.820.000.000.003.340.001.003.341.3419.060.330.000.000.330.330.000.000.670.000.001.670.000.330.332.011.007.36
0.190.200.195197.943.170.630.000.000.0051.750.000.000.005.710.320.320.950.9512.700.320.000.950.630.630.000.000.320.000.000.320.000.000.630.632.868.25
0.210.220.2152110.193.180.320.000.000.0042.680.000.000.004.460.000.643.180.9613.380.960.000.640.320.000.000.000.320.000.321.590.320.960.320.001.2714.01
0.230.240.235237.642.230.000.000.000.0050.000.000.000.004.140.002.552.550.6412.100.642.870.320.000.000.000.000.320.000.321.270.000.000.960.002.558.92
0.250.260.255259.813.480.000.000.000.0044.940.000.000.004.750.001.272.532.2218.990.000.000.000.000.950.000.000.320.000.630.630.000.000.630.000.957.91
0.270.280.275278.780.940.000.000.000.0049.530.000.000.003.130.000.634.080.3115.990.000.000.310.941.250.000.000.310.000.312.190.000.310.630.001.578.78
0.290.300.2952912.663.160.000.000.000.0048.100.320.000.004.750.631.271.900.639.180.321.270.630.000.950.000.630.630.000.000.630.000.000.000.001.5810.76