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Granse, Dirk; Wanner, Antonia; Stock, Martin; Jensen, Kai (2024): Inorganic and organic carbon survey in surface soils of a Wadden Sea mainland salt marsh 17 years after land-use change [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.963765

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Abstract:
Vegetated coastal ecosystems have been increasingly recognized for their capacity to sequester organic carbon in their soils and sediments under the term blue carbon. The vegetation of these habitats shows specific adaptations to severe abiotic soil conditions, particularly, waterlogging and salinity, and supports therefore ecosystem functioning and services. Wadden Sea salt marshes in Schleswig-Holstein (Germany) have been utilized for high density sheep grazing over centuries. At the beginning of the 1990s, in many parts of salt marshes livestock densities were reduced and the maintenance of the anthropogenic drainage system was ceased. In 2012, 17 years after the change of land utilization, the contents, densities, and accumulation rates of surface soil carbon were investigated at 50 sampling positions with different elevations along eight transects in Wadden Sea mainland salt marshes at Hamburger Hallig, Schleswig-Holstein, Germany, under different livestock grazing regimes (ungrazed, moderately grazed, intensively grazed). Surface soil was collected in 150 permanent plots (2 m * 2 m) at 50 sampling positions, covering a salt marsh area of 1050 ha. The carbon contents, pH, and bulk density were determined from dried soil. The elevations of the 150 permanent plots were measured and annual vertical accretion rates were calculated from 17 years sedimentation monitoring. This study was supported by the BASSIA project (Biodiversity, management, and ecosystem functions of salt marshes in the Wadden Sea National Park of Schleswig-Holstein), funded by the Bauer-Hollmann Foundation and Universität Hamburg.
Keyword(s):
blue carbon; Climate change; inorganic and organic carbon stock; Sea level rise; tidal wetland
Supplement to:
Granse, Dirk; Wanner, Antonia; Stock, Martin; Jensen, Kai; Mueller, Peter (2024): Plant‐sediment interactions decouple inorganic from organic carbon stock development in salt marsh soils. Limnology and Oceanography Letters, 9(4), 469-477, https://doi.org/10.1002/lol2.10382
Related to:
Schröder, Henning K; Kiehl, Kathrin; Stock, Martin (2002): Directional and non‐directional vegetation changes in a temperate salt marsh in relation to biotic and abiotic factors. Applied Vegetation Science, 5(1), 33-44, https://doi.org/10.1111/j.1654-109X.2002.tb00533.x
Stock, Martin (2012): TMAP Wadden Sea Vegetation Database. In: Global Index of Vegetation-Plot Databases, http://www.givd.info/ID/EU-DE-033
Stock, Martin; Kiehl, Kathrin (2000): Das Projekt Hamburger Hallig im Überblick. In: Die Salzwiesen der Hamburger Hallig (Stock, M. and K. Kiehl, ed.). Schriftenreihe des Nationalparks Schleswig-Holsteinisches Wattenmeer 11, 3–7.
References:
Wisskirchen, R; Haeupler, H (1998): Standardliste der Farn- und Blütenpflanzen Deutschlands: Mit Chromosomenatlas von Focke Albers. Stuttgart: Verlag Eugen Ulmer, 765
Coverage:
Latitude: 54.609852 * Longitude: 8.852268
Date/Time Start: 2012-08-03T00:00:00 * Date/Time End: 2012-09-28T00:00:00
Minimum ELEVATION: 0.32 m a.s.l. * Maximum ELEVATION: 0.82 m a.s.l.
Event(s):
SSC_2012_HH-SH-G * Latitude: 54.609852 * Longitude: 8.852268 * Date/Time Start: 2012-08-01T09:00:00 * Date/Time End: 2012-09-29T18:00:00 * Elevation: 0.6 m * Location: Wadden Sea, Germany * Method/Device: Soil corer * Comment: Soil cores (0-5 cm), volumetric ring (100 cm⁻³)
Comment:
The vegetation data, originally included in the raw data published in the Global Index of Vegetation Databases (http://www.givd.info/ID/EU-DE-033) by Stock (2012), has been transformed into percentage values through the normalization of Londo scale values (0.1, 0.2, 0.4, 1, 2, ..., 10) using plot cover (representing the percentage of plot area covered by vegetation); Species names nomenclature according to Wisskirchen et al. (1998), Standard List of Ferns and Flowering Plants of Germany, Eugen Ulmer Gmbh.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Plot of landPlotGranse, DirkPermanent, ID of the plot
2Sample positionSamp posGranse, DirkID of the sampling position
3Livestock densityLivestock dens#/haGranse, DirkGrazing by adult female sheep: ungrazed = 0, moderately grazed = 0.3, intensively grazed = 3.9
4DistanceDistancemGranse, DirkCalculatedThe distance to marsh edge of plots was determined from GPS coordinates of the plots in relation to the nearest marsh edge.
5DATE/TIMEDate/TimeGranse, DirkGeocode – Date of elevation measurement
6ELEVATIONElevationm a.s.l.Granse, DirkOptical levelling instrumentGeocode – The elevations of the permanent plots were determined using an optical levelling-instrument in reference to the German ordnance datum NHN. The elevation is reported as the mean of nine measurements per plot in relation to mean high tide (MHT) by subtracting the local MHT of 155 cm above NHN in the year 2011.
7DATE/TIMEDate/TimeGranse, DirkGeocode – Date of soil core sampling
8Depth, soil, maximumDepth soil maxmGranse, DirkDepth of soil core sampling
9Density, dry bulkDBDg/cm3Granse, DirkCalculatedSoil bulk density: Surface soil samples (0-5 cm) were collected from three positions along the edges of each of the 150 permanent plots using volumetric rings (100 cm⁻³). The samples were dried at 105 °C to constant weight, weighed and pooled to one sample per plot. Bulk density was calculated as sample dry weight divided by sample volume and is reported as mean of the three samples.
10Inorganic carbon, soilSIC%Granse, DirkTotal organic carbon (TOC) analyzer, Elementar, Liqui-TOC; coupled with extension module, Elementar, soliTICSurface soil inorganic carbon content was measured in bulk soil (three soil cores were pooled into one sample per plot): The SIC analysis was carried using a Liqui-TOC carbon analyzer (Elementar Analysensysteme GmbH, Langenselbold, Germany) equipped with a semi-automated soliTIC extension module according to the following principle: 500 mg of a homogenized soil sample was incubated at 50 °C for 8 min in a 5% hydrochloric acid solution. The released CO₂ was quantified using a CaCO₃ calibration standard (12% total inorganic carbon content).
11Organic carbon, soilSOC%Granse, DirkCalculatedSurface soil organic carbon content was measured in bulk soil (three soil cores were pooled into one sample per plot): Total soil carbon contents (TC) were determined using an elemental analyzer (EURO-EA 3000, Euro Vector, Italy) and by means of a standard containing 9.15% carbon. SOC(%) was calculated by subtracting SIC(%) from TC(%).
12pHpHGranse, DirkMulti parameter analyser, Eijkelkamp, 18.28Surface soil pH was measured in bulk soil (three soil cores were pooled into one sample per plot): The pH value was determined in a filtered solution with a glass electrode (Eijkelkamp 18.28, ecoTech Umwelt-Messsysteme GmbH, Bonn, Germany) by incubating 10 g of air-dry soil in 25 ml 0.01 M CaCl₂ and shaking for 60 min.
13Vertical accretion rate, annual meanVert accret rate annual meanmm/aGranse, DirkCalculatedMean annual vertical accretion rate was calculated from total surface elevation change from 1995 to 2012. Annual vertical accretion rates are reported per sampling position for one of the permanent plots with continuous vegetation assessments from 1995 to 2012 (N = 50). Surface elevation change of plots A400, A1300, and E1000 were determined by the difference in elevation between 1995 (Schröder et al., 2002) and 2012 (own data) measured by levelling-instrument.
14DATE/TIMEDate/TimeGranse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Geocode – Date of vegetation assessment
15Vegetation typeVegetation typeGranse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Spartina, Atriplex, Puccinellia, Festuca, or Elymus; determined by species dominance (highest cover) of: Spartina anglica, Atriplex portulacoides, Puccinellia maritima, Festuca rubra, or species from the Elymus genus (Elymus athericus or Elymus repens).
16Vegetation, coverVeg cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Plot area covered by vegetation
17Agrostis stolonifera, coverA. stolonifera cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
18Armeria maritima, coverA. maritima cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
19Artemisia maritima, coverA. maritima cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
20Aster tripolium, coverA. tripolium cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
21Atriplex littoralis, coverA. littoralis cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
22Atriplex portulacoides, coverA. portulacoides cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
23Atriplex prostrata, coverA. prostrata cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
24Elymus athericus, coverE. athericus cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
25Elymus repens, coverE. repens cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
26Festuca rubra, coverF. rubra cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
27Glaux maritima, coverG. maritima cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
28Juncus gerardii, coverJ. gerardii cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
29Limonium vulgare, coverL. vulgare cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
30Plantago coronopus, coverP. coronopus cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
31Plantago maritima, coverP. maritima cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
32Potentilla anserina, coverP. anserina cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
33Puccinellia maritima, coverP. maritima cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
34Salicornia europaea, coverS. europaea cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
35Sonchus asper, coverS. asper cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
36Sonchus sp., coverSonchus sp. cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
37Spartina anglica, coverS.anglica cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
38Spergularia maritima, coverS. maritima cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
39Suaeda maritima, coverS. maritima cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
40Triglochin maritima, coverT. maritima cov%Granse, DirkTMAP Wadden Sea Vegetation Database (Stock 2012)Londo scale converted to percent of plot vegetation cover
Change history:
2024-03-05T09:01:09 – The last sentence of the parameter comment of "Vertical accretion rate, annual mean" was updated.
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
5300 data points

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