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  • 1
    Publication Date: 2023-01-27
    Description: River estuaries are characterized by mixing processes between freshwater discharge and marine water masses. Since the first are depleted in heavier stable isotopes compared with the marine realm, estuaries often show a linear correlation between salinity and water stable isotopes (δ18O and δ2H values). In this study, we evaluated spatial and seasonal isotope dynamics along three estuarine lagoon transects, located at the northern German Baltic Sea coast. The data show strong seasonality of isotope values, even at locations located furthest from the river mouths. They further reveal a positive and linear salinity‐isotope correlation in spring, but ‐in two of the three studied transects‐ hyperbolic and partially reverse correlations in summers. We conclude that additional hydrological processes partially overprint the two‐phase mixing correlation during summers: aside from the isotope seasonality of the riverine inflows, the shallow inner lagoons in the studied estuaries are influenced by evaporation processes. In contrast the estuarine outflow regions are under impact of significant salinity and isotope fluctuations of the Baltic Sea. Deciphering those processes is crucial for the understanding of water isotope and salinity dynamics. This is also of relevance in context of ecological studies, for example, when interpreting oxygen and hydrogen isotope data in aquatic organisms that depend on ambient estuarine waters.
    Description: Spatial and seasonal water isotope dynamics were evaluated along three estuarine lagoon transects at the German Baltic Sea coast. Data reveal a positive and linear salinity‐isotope correlation in spring, but partially reverse correlations in summers. The results show that evaporation processes in the shallow inner lagoons and varying Baltic Sea influence in the outer estuary regions are able to overprint the two‐phase mixing correlation between riverine and marine water masses.
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: https://doi.org/10.1594/PANGAEA.937990
    Keywords: ddc:551 ; δ2H ; δ18O ; Baltic Sea ; bodden ; Rügen ; salinity ; Schlei ; Zingst
    Language: English
    Type: doc-type:article
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  • 2
    Publication Date: 2023-12-19
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉We monitored stable water isotopes in liquid precipitation and atmospheric water vapour (δ〈sub〉v〈/sub〉) using in situ cavity ring‐down spectroscopy (CRDS) over a 2 month period in an urban green space area in Berlin, Germany. Our aim was to better understand the origins of atmospheric moisture and its link to water partitioning under contrasting urban vegetation. δ〈sub〉v〈/sub〉 was monitored at multiple heights (0.15, 2 and 10 m) in grassland and forest plots. The isotopic composition of δ〈sub〉v〈/sub〉 above both land uses was highly dynamic and positively correlated with that of rainfall indicating the changing sources of atmospheric moisture. Further, the isotopic composition of δ〈sub〉v〈/sub〉 was similar across most heights of the 10 m profiles and between the two plots indicating high aerodynamic mixing. Only at the surface at ~0.15 m height above the grassland δ〈sub〉v〈/sub〉 showed significant differences, with more enrichment in heavy isotopes indicative of evaporative fractionation especially after rainfall events. Further, disequilibrium between δ〈sub〉v〈/sub〉 and precipitation composition was evident during and right after rainfall events with more positive values (i.e., values of vapour higher than precipitation) in summer and negative values in winter, which probably results from higher evapotranspiration and more convective precipitation events in summer. Our work showed that it is technically feasible to produce continuous, longer‐term data on δ〈sub〉v〈/sub〉 isotope composition in urban areas from in situ monitoring using CRDS, providing new insights into water cycling and partitioning across the critical zone of an urban green space in Central Europe. Such data have the potential to better constrain the isotopic interface between the atmosphere and the land surface and to thus, improve ecohydrological models that can resolve evapotranspiration fluxes.〈/p〉
    Description: 〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉In situ measurements of urban atmospheric water isotopes (δ〈sub〉v〈/sub〉) at different heights produce reliable and stable high‐resolution data. Urban atmospheric vapour is influenced by varying drivers depending on the type of green space. δ〈sub〉v〈/sub〉 above grassland and tree stands was similar at 10 m height, but near‐surface δ〈sub〉v〈/sub〉 indicated higher evaporation and vapour enrichment over grass. We detected occasional dis‐equilibrium between vapour and precipitation isotopes.〈boxed-text position="anchor" content-type="graphic" id="hyp14989-blkfxd-0001" xml:lang="en"〉 〈graphic position="anchor" id="jats-graphic-1" xlink:href="urn:x-wiley:08856087:media:hyp14989:hyp14989-toc-0001"〉 〈/graphic〉 〈/boxed-text〉〈/p〉
    Description: Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: Einstein Stiftung Berlin http://dx.doi.org/10.13039/501100006188
    Description: Leverhulme Trust http://dx.doi.org/10.13039/501100000275
    Description: German Research Foundation http://dx.doi.org/10.13039/501100001659
    Description: Einstein Research Unit
    Description: Einstein Foundation Berlin and Berlin University Alliance
    Description: BiNatur
    Description: BMBF http://dx.doi.org/10.13039/501100002347
    Description: Leverhulme Trust through the ISO‐LAND project
    Keywords: ddc:551.6 ; atmospheric vapour isotopes ; cities ; ecohydrology ; equilibrium assumption ; in situ monitoring ; urban green spaces
    Language: English
    Type: doc-type:article
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  • 3
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  • 5
  • 6
    Publication Date: 2024-03-06
    Description: Stable isotopes (δ²H and δ¹⁸O) were analyzed in water samples collected at the German Baltic Sea Coast. Transect samples were taken in June 2019, March 2020, and July 2021 at 68 spots along the Schlei, the Zingster Bodden chain, and the Rügener and Greifswalder Boddens. Additionally, at selected spots time series were sampled in biweekly to monthly intervals between March 2020 and March 2021. At shores, water was sampled with a pipette from 0.3 to 0.6 m below water surface and directly transferred into a measurement vial. In deeper parts of the boddens a Limnos sampler was used to obtain water from 0.5 to 1 m below surface. Isotope analysis was conducted at IGB Berlin, using a Picarro L2130-i cavity ring-down spectrometer. The measurement uncertainty was quantified by error propagation, including the parameters a) uncertainties of lab standards; b) errors of standard calibration; c) average standard deviation of replicate measurements. Based on this, measurement uncertainty was estimated to account 0.16 ‰ for δ¹⁸O and 0.57 ‰ for δ²H. Water chemical parameters were measured with WTW measurement devices. The data give information about a) the seasonal isotope amplitude at the sampled locations; b) spatial variability along the transects, and c) the correlation between isotopes and water chemical parameters.
    Keywords: bodden; GEPRIS_418096356; Influence of environmental factors onto the hydrogen isotopic signature of aquatic plants; Rügen; Salinity; Schlei; Zingst; δ18O; δ2H
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 7
    Publication Date: 2024-03-06
    Description: Stable isotopes (δ2H and δ18O) were analyzed in water samples collected at 68 spots along the Schlei, the Zingster Bodden chain, and the Rügener and Greifswalder Boddens in June 2019, March 2020, and July 2021. Transect samples were taken at shores from 0.3 to 0.6 m below water surface, using a pipette, and directly transferred into measurement vials. Isotope analysis was conducted at IGB Berlin, using a Picarro L2130-i cavity ring-down spectrometer. Water chemical parameters were measured in-situ with a WTW multiparameter device (Multi 3630 IDS), equipped with a WTW TetraCon 925 electrical conductivity measuring cell. The data give information about the spatial isotope variability along the transects.
    Keywords: Arnis_NE; Arnis_SW; Baltic_Sea_Breege; Baltic_Sea_Eckernförde; Baltic_Sea_Hiddensee; Baltic_Sea_Thiessow; Baltic_Sea_Zingst; Baltic Sea; Barthe_Barth; Barther_Bodden; Barther_Bodden_Barth; bodden; Bodstedter_Bodden; Breeger_Bodden; Bültsee; Burgsee; Cavity ring-down spectroscopy (CRDS), L2130-i, Picarro Inc.; Conductivity; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Fährdorf; Füsinger_Au; GEPRIS_418096356; Golthoft; Gr_Breite_Burg; Gr_Breite_Stexwig; Gr_Breite_Weseby; Grabow_Dabitz; GW_Bodden_Beek; GW_Bodden_Fresendorf; GW_Bodden_Greifswald; GW_Bodden_Lubmin; GW_Bodden_Zicker; Haddebyer_Bridge; Haddebyer_Noor; Hasselberg_Beach; Identification; Influence of environmental factors onto the hydrogen isotopic signature of aquatic plants; Kappeln; Kl_Breite_Füsing; Klausdorf; Lassen_Achterwasser; LATITUDE; Lietzow_Gr_Jasm_Bodden; Lietzow_Kl_Jasm_Bodden; Lindauniser_Noor; Location; LONGITUDE; Maasholm; Misunder_Ferry; Mönkehude; Neeberg_Krumminer_Viek; Ornumer_Noor; Padegou; Peene_Anklam; Peene_Stream_Freest; Pipette; Recknitz_Ribnitz-Damgarten; Rügen; Ryck_Wackerow; Saaler_Bodden; Salinity; Schaproder_Bodden; Schlei; Schleswig; Schnaaper_See; Selker_Noor; Sieseby; Stahlbrode_Ferry; Stralsund_Harbour; Stralsund_Nautineum; Temperature, water; Templer_Bach; Ucker_Torgelow; Ulsnis; Ulsnis_Beach; Ummanz; Ummanz_Lieschow; Warthe_Achterwasser; Wieker_Bodden; Windebyer_Noor; Wittower_Ferry; Wolgast_Beach; Wormshöfter_Noor; WTW probe, hand-held; Zicker_See; Zingst; δ18O; δ18O, water; δ18O, water, standard deviation; δ2H; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1377 data points
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  • 8
    Publication Date: 2024-03-06
    Description: Time series of stable isotopes (δ2H and δ18O) were analyzed in water samples collected at the Zingster Bodden chain in biweekly to monthly intervals between March 2020 and March 2021. Herefore, a Limnos sampler was used to obtain water from 0.5 to 1 m below surface. In the laboratory, a WTW 1970i conductivity meter and TetraCon 325 measuring cell were used to analyse electrical conductivity. Sub-samples were transferred into measurement vials before isotope analysis was conducted at IGB Berlin, using a Picarro L2130-i cavity ring-down spectrometer. Water chemical parameters were measured with regularly calibrated WTW multiparameter devices. The data give information about the seasonal isotope amplitude at the sampled locations and about spatial variability along the transects.
    Keywords: Baltic Sea; bodden; Cavity ring-down spectroscopy (CRDS), L2130-i, Picarro Inc.; DATE/TIME; Depth, bottom/max; Depth, top/min; DEPTH, water; Depth of Secchi Disk; Event label; GEPRIS_418096356; Identification; Influence of environmental factors onto the hydrogen isotopic signature of aquatic plants; LATITUDE; LIMNOS water sampler; LIMNOSWS; Location; LONGITUDE; pH; Rügen; Salinity; Schlei; Temperature, water; WTW probe, hand-held; ZB_DB10-Time_Series; ZB_DB16-Time_Series; ZB_DB19-Time_Series; ZB_DB1-Time_Series; ZB_DB2-Time_Series; ZB_DB6-Time_Series; ZB_ZS-Time_Series; Zingst; δ18O; δ18O, water; δ18O, water, standard deviation; δ2H; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1250 data points
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  • 9
    Publication Date: 2024-03-06
    Description: Time series of stable isotopes (δ2H and δ18O) were analyzed in water samples collected near the A. P. Møller Skolen, Schleswig (Kleine Breite, Schlei), in biweekly to monthly intervals between March 2020 and March 2021. Water was sampled with a pipette from ca. 0.5 m below water surface and directly transferred into a measurement vial. Isotope analysis was conducted at IGB Berlin, using a Picarro L2130-i cavity ring-down spectrometer. Water chemical parameters were measured in-situ with a modular WTW 3440 multiparameter devices and regularly calibrated conductivity cells (MPP 930 IDS, TetraCon® 925-P). The data give information about the seasonal isotope amplitude at the sampled locations and about spatial variability along the transects.
    Keywords: Baltic Sea; bodden; Cavity ring-down spectroscopy (CRDS), L2130-i, Picarro Inc.; DATE/TIME; DEPTH, water; GEPRIS_418096356; Identification; Influence of environmental factors onto the hydrogen isotopic signature of aquatic plants; LATITUDE; LIMNOS water sampler; LIMNOSWS; LONGITUDE; Oxygen; pH; Rügen; Salinity; Schlei; Schlei-Time_Series; Temperature, water; Visibility; WTW probe, hand-held; Zingst; δ18O; δ18O, water; δ18O, water, standard deviation; δ2H; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 220 data points
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  • 10
    Publication Date: 2024-03-06
    Description: Time series of stable isotopes (δ2H and δ18O) were analyzed in water samples taken near the harbour of Kloster (Hiddensee), in biweekly to monthly intervals between March 2020 and March 2021. Water was sampled with a pipette from ca. 0.5 m below water surface and directly transferred into a measurement vial. Isotope analysis was conducted at IGB Berlin, using a Picarro L2130-i cavity ring-down spectrometer. Water chemical parameters were measured in-situ with WTW multiparameter measurement devices. The data give information about the seasonal isotope amplitude at the sampled locations and about spatial variability along the transects.
    Keywords: Baltic Sea; bodden; Cavity ring-down spectroscopy (CRDS), L2130-i, Picarro Inc.; DATE/TIME; DEPTH, water; Event label; GEPRIS_418096356; Hiddensee_Baltic_Sea-Time_Series; Hiddensee_Kloster-Time_Series; Identification; Influence of environmental factors onto the hydrogen isotopic signature of aquatic plants; LATITUDE; LIMNOS water sampler; LIMNOSWS; LONGITUDE; Rügen; Salinity; Schlei; Temperature, water; WTW probe, hand-held; Zingst; δ18O; δ18O, water; δ18O, water, standard deviation; δ2H; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 198 data points
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