Citation:

PANGAEA.975109

Name: Loss-on-ignition (LOI) measurements of Holocene sediment sequence retrieved from Lake Loitsana, Finland
Published: 2025-02-13
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Chironomids; C/N; diatoms; Finland; Holocene; Itrax; LOI; Macro-remains; Pollen; Sokli; Stable isotopes

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Published: 2025-02-13 • DOI registered: 2025-03-14

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Abstract:

This dataset provides Loss-on-ignition (LOI) data for the Holocene sediment sequence retrieved from Lake Loitsana (Finland) in 2008. LOI values (%) are presented against both depth (m) and age (cal ka BP). Two age/depths models are presented: the first model represents the original age/depth model applied to the records (Shala et al., 2014; 2017) and the second age/depth model, which is the author-preferred version, presents updated age-estimates derived using the r package 'Bacon' (Blaauw and Christensen, 2011). The LOI dataset was used to provide information on Holocene landscape dynamics at lake Loitsana. A total of 153 samples were analyzed for LOI. Subsamples of 1 cm³ were dried in a 105 °C oven for 24 hrs before being placed in a furnace at 550 °C for 4 hrs and at 950 °C for 5 hours. Loss-on-ignition was calculated by comparing the dry weight of the samples before and after combustion at 550 °C following Heiri et al. (2001) and results are expressed as a percentage. The analyses were performed in the laboratories of Stockholm University, Sweden.

Keyword(s):

Chironomids; C/N; diatoms; Finland; Holocene; Itrax; LOI; Macro-remains; Pollen; Sokli; Stable isotopes

References:

Blaauw, Maarten; Christen, Andrés (2011): Flexible paleoclimate age-depth models using an autoregressive gamma process. Bayesian Analysis, 6(3), 457-474, https://doi.org/10.1214/11-BA618

Heiri, Oliver; Lotter, André F; Lemcke, G (2001): Loss on ignition as a method for estimating organic and carbonate content in sediments: reproducibility and comparability of results. Journal of Paleolimnology, 25(1), 101-110, https://doi.org/10.1023/A:1008119611481

Shala, Shyhrete; Helmens, Karin F; Luoto, Tomi P; Salonen, J Sakari; Väliranta, Minna; Weckström, Jan (2017): Comparison of quantitative Holocene temperature reconstructions using multiple proxies from a northern boreal lake. The Holocene, 27(11), 1745-1755, https://doi.org/10.1177/0959683617708442

Shala, Shyhrete; Helmens, Karin F; Luoto, Tomi P; Väliranta, Minna; Weckström, Jan; Salonen, J Sakari; Kuhry, Peter (2014): Evaluating environmental drivers of Holocene changes in water chemistry and aquatic biota composition at Lake Loitsana, NE Finland. Journal of Paleolimnology, https://doi.org/10.1007/s10933-014-9795-1

Funding:

Academy of Finland, grant/award no. 1278692

Academy of Finland, grant/award no. 1310649

Coverage:

Latitude: 67.804722 * Longitude: 29.282222

Date/Time Start: 2008-04-05T10:00:00 * Date/Time End: 2008-04-06T18:00:00

Minimum DEPTH, sediment/rock: 0.070 m * Maximum DEPTH, sediment/rock: 8.930 m

Event(s):

Loitsana_Lake (LL) * Latitude: 67.804722 * Longitude: 29.282222 * Date/Time Start: 2008-04-05T10:00:00 * Date/Time End: 2008-04-06T18:00:00 * Elevation: 214.0 m * Lake water depth: 1-2 m * Method/Device: Russian peat corer (RPC)

Comment:

Further funding was provided by SKB (Swedish Nuclear Fuel and Waste Management Company) and the Bolin Centre for Climate Research.

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator	Method/Device	Comment
1	DEPTH, sediment/rock	Depth sed	m	Engels, Stefan		Geocode
2	Age model	Age model	ka	Engels, Stefan	Calculated, according to Shala et al. (2017)
3	Age model	Age model	ka	Engels, Stefan	Calculated according to Blaauw and Christen (2011)
4	Loss on ignition	LOI	%	Engels, Stefan	Muffel furnace	LOI550
5	Loss on ignition	LOI	%	Engels, Stefan	Muffel furnace	LOI950

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0)

Size:

583 data points

Data

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

1 Depth sed [m]	2 Age model [ka] (Calculated, according to Shal...)	3 Age model [ka] (Calculated according to Blaau...)	4 LOI [%] (LOI550, Muffel furnace)	5 LOI [%] (LOI950, Muffel furnace)
0.070	0.31700000	0.276	55.246494800	2.532790592
0.280	1.37900000	1.424	58.226221080	1.992287918
0.370	1.79000000	1.676	42.362982930	2.425876011
0.480	2.24800000	1.945	30.387638930	1.192735159
0.580	2.62600000	2.185	32.369402990	2.798507463
0.680	2.97000000	2.430	33.093154920	2.624806999
0.780	3.28300000	2.671	41.105015670	1.841692790
0.880	3.56500000	2.910	38.015683600	1.977497443
0.980	3.82000000	3.156	38.342541440	1.933701657
1.080	4.05100000	3.409	43.039937960	2.481582009
1.180	4.25800000	3.645	43.547787280	2.305689848
1.280	4.44600000	3.876	23.643670460	3.215003349
1.380	4.61600000	4.105	23.327787020	2.861896839
1.480	4.77000000	4.323	17.799130630	3.111416152
1.580	4.91200000	4.544	18.172588830	2.199661591
1.680	5.04200000	4.773	18.029176990	3.770988164
1.780	5.16400000	4.995	18.845456900	2.718094745
1.880	5.28000000	5.131	18.198815830	2.555313182
1.980	5.39100000	5.237	17.445972500	4.754420432
2.030	5.44500000	5.291	18.910771700	2.733118971
2.080	5.49800000	5.345	16.846169480	3.515545621
2.130	5.55000000	5.400	18.914776210	2.299202943
2.180	5.60100000	5.455	20.682926830	2.902439024
2.230	5.65100000	5.511	19.772528430	3.280839895
2.280	5.70100000	5.565	18.968192400	3.297129558
2.330	5.75000000	5.621	19.596145020	3.189536485
2.380	5.79800000	5.675	19.625695500	3.388973192
2.430	5.84600000	5.730	21.014672970	3.481720965
2.480	5.89300000	5.787	19.743723850	3.922594142
2.530	5.94000000	5.840	23.127987250	3.372278279
2.580	5.98700000	5.896	23.942186850	2.932551320
2.630	6.03400000	5.950	25.626859330	3.251168721
2.680	6.08100000	6.006	23.727764890	2.784222738
2.730	6.12700000	6.061	24.773525610	2.736180440
2.780	6.17400000	6.118	28.431180050	2.670331828
2.830	6.22100000	6.174	29.742304940	3.221188261
2.880	6.26800000	6.229	29.555895870	3.412819952
2.930	6.31600000	6.284	48.742138360	5.889079474
2.980	6.36400000	6.340	60.333935020	3.700361011
3.030	6.41200000	6.393	70.004450380	2.269692924
3.080	6.46100000	6.448	65.350184310	1.527119537
3.130	6.51100000	6.505	67.016552280	1.493742430
3.180	6.56100000	6.559	58.228571430	2.685714286
3.230	6.61200000	6.614	51.061366270	3.473562331
3.280	6.66400000	6.669	61.869799310	1.664219285
3.330	6.71700000	6.723	63.166736670	2.141957161
3.380	6.77100000	6.778	40.609892150	6.582372629
3.430	6.82600000	6.831	28.199233720	4.827586207
3.480	6.88200000	6.886	27.998493690	2.428921107
3.530	6.93900000	6.941	28.967741940	3.225806452
3.580	6.99800000	6.997	27.905991950	3.048909591
3.630	7.05800000	7.055	27.286624200	2.955414013
3.680	7.11800000	7.110	25.231116120	2.593010147
3.730	7.17900000	7.168	23.790180150	3.761921582
3.780	7.24200000	7.224	24.575896150	3.746865319
3.830	7.30400000	7.282	28.417702330	2.955441043
3.880	7.36800000	7.343	26.257739940	2.263931889
3.930	7.43200000	7.403	31.752797020	6.020245072
3.980	7.49600000	7.457	29.612034840	3.840063341
4.030	7.56000000	7.515	29.252782190	3.751987281
4.080	7.62500000	7.574	28.310502280	3.424657534
4.130	7.69000000	7.628	31.714043280	3.033517183
4.180	7.75400000	7.687	28.400646200	3.618739903
4.230	7.81900000	7.746	28.667601680	4.039270687
4.280	7.88400000	7.805	25.679475160	3.327085286
4.330	7.94800000	7.861	26.119787200	3.346490475
4.380	8.01200000	7.916	22.187500000	3.468750000
4.430	8.07500000	7.973	23.603603600	3.980343980
4.480	8.13800000	8.029	25.019485580	3.065731359
4.530	8.20000000	8.085	25.155052900	4.432688800
4.580	8.26100000	8.143	24.932614560	3.350019253
4.630	8.32100000	8.198	24.661469020	4.657365613
4.680	8.38100000	8.255	26.193467340	3.988693467
4.730	8.43900000	8.311	22.941822170	2.854006586
4.780	8.49700000	8.367	22.466960350	2.985805188
4.830	8.55300000	8.423	21.960414700	2.639019793
4.880	8.60700000	8.480	26.384207990	5.729417429
4.930	8.66100000	8.536	29.607931500	3.424966201
4.980	8.71200000	8.590	36.514886160	2.758318739
5.030	8.76200000	8.642	37.264150940	2.924528302
5.080	8.81100000	8.693	32.567432570	5.744255744
5.130	8.85700000	8.740	30.727272730	3.545454545
5.180	8.90200000	8.784	38.081936690	3.119180633
5.230	8.94500000	8.827	27.289896130	6.043437205
5.280	8.98700000	8.872	26.970141950	3.377386197
5.330	9.02700000	8.916	30.270270270	3.693693694
5.380	9.06500000	8.959	51.863782790	2.208927750
5.390	9.07300000	8.968	33.447600390	3.281096964
5.430	9.10200000	9.003	30.022321430	1.283482143
5.480	9.13700000	9.048	31.942740290	3.517382413
5.530	9.17200000	9.090	31.863067810	2.304147465
5.580	9.20400000	9.133	27.930535460	2.653159672
5.630	9.23600000	9.176	32.762645910	3.579766537
5.680	9.26600000	9.218	32.489669420	5.836776860
5.730	9.29500000	9.261	27.639542700	3.765971755
5.780	9.32300000	9.305	27.863777090	2.565236621
5.830	9.35000000	9.349	30.340724720	2.595997837
5.850	9.36000000	9.366	26.821983270	4.778972521
5.880	9.37500000	9.390	26.155717760	3.649635036
5.930	9.40000000	9.432	27.035330260	3.635432668
5.980	9.42400000	9.474	25.684333140	4.309842749
6.030	9.44700000	9.521	27.553310890	4.264870932
6.080	9.47000000	9.570	26.081960930	3.829950211
6.130	9.49200000	9.621	24.261339990	5.617977528
6.180	9.51400000	9.673	21.144389810	4.783191775
6.200	9.52400000	9.694	24.917309810	4.630650496
6.230	9.53700000	9.728	22.699573430	5.484460695
6.280	9.56100000	9.781	25.681818180	5.590909091
6.330	9.58700000	9.835	25.483870970	6.209677419
6.380	9.61400000	9.887	28.520041110	2.672147996
6.430	9.64300000	9.939	25.205716760	2.771762668
6.480	9.67500000	9.990	28.114153490	3.895102198
6.580	9.74900000	10.090	25.434439180	5.292259084
6.620	9.78300000	10.132	26.149092310	4.210119737
6.630	9.79200000	10.144	9.065765212	4.640442532
6.640	9.80100000	10.155	19.021090330	6.565857541
6.680	9.83800000	10.208	21.852189780	2.737226277
6.730	9.88800000	10.279	17.549325030	5.919003115
6.780	9.94200000	10.349	20.108522180	2.968400894
6.820	9.98600000	10.406	18.589321030	5.537244562
6.840	10.00900000	10.434	21.392405060	3.443037975
6.870	10.04300000	10.475	20.871794870	3.461538462
6.900	10.07800000	10.519	19.801707520	5.866152575
6.980	10.17300000	10.623	16.447368420	2.163461538
7.030	10.23200000		17.464522230	3.349101230
7.060	10.26700000		13.327475100	2.973052138
7.090	10.30200000		13.013196480	3.189149560
7.110	10.32500000		12.245596030	3.796818881
7.150	10.37000000		13.624220840	2.730780647
7.170	10.39200000		14.351762670	3.833558081
7.210	10.43500000		7.527091672	2.069706141
7.240	10.46600000		9.764942915	2.565480188
7.270	10.49600000		10.674944920	3.084318045
7.300	10.52400000		8.025422816	1.895938813
7.320	10.54200000		7.262680087	2.348529702
7.380	10.59300000		4.765163829	1.454358799
7.430	10.63100000		4.829474732	1.344286781
7.480	10.66500000		4.458801946	1.491584909
7.530	10.69800000		3.857930190	0.711879976
7.580	10.73100000		6.346662393	1.995352192
7.630	10.73452113		5.624006359	1.569952305
7.680	10.73804225		5.548110426	1.259715894
7.730	10.74156338		3.229636666	1.092377108
7.830	10.74860563		3.761821366	1.218914186
7.930	10.75564789		2.441431956	1.000263227
8.005	10.76100000		2.222561674	0.908882609
8.280	10.78029577		2.729787888	1.334153089
8.480	10.79438028		3.439131516	1.823154057
8.630	10.80494366		2.987588652	1.276595745
8.680	10.80846479		3.404473549	1.585861375
8.730	10.81198592		5.202678248	1.682953312
8.830	10.81902817		2.957448949	1.378130973
8.930	10.82607042		2.580709446	1.315265046