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  • 1
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Yang, Shixiong; Liu, Kam-biu; Yi, Sangheon; Siyuan, Ye; Li, Jie; Yuan, Hongming; Zhao, Guangming; Pei, Shaofeng; He, Lei; Ding, Xigui; Cho, Tae-Sop (2016): Distribution and provenance of modern pollen and spores in the surface sediments of Liaodong Bay, China. Marine Geology, 376, 1-14, https://doi.org/10.1016/j.margeo.2016.03.004
    Publication Date: 2023-01-13
    Description: To elucidate modern pollen and spore distribution and provenance based on their dispersal patterns, we analyzed 72 surface sediment samples from Liaodong Bay, China and 39 analogous samples from its five inflowing rivers. Our results reveal that most of the pollen and spores in the nearshore marine sediments (water depth 〈 8 m) originated from riverine input and that their assemblages corresponded well to the watershed vegetation. Variation in the pollen assemblages in different parts of the marine area could reflect differences in local vegetation. The content of herbaceous pollen decreased with increasing distance offshore, while arboreal pollen and spores increased. Due to the differences in the sedimentary environments and the source areas of pollen and spores, pollen concentrations in the marine area were higher than those in analog sediments in the modern alluvium of the inflowing rivers. The highest pollen concentrations occurred in the northwestern area of Liaodong Bay, where pollen was derived from multiple inflowing rivers. According to the distribution characteristics of pollen and spores from alluvium to marine sediments, it can be inferred that most pollen grains such as Artemisia, Chenopodiaceae, Gramineae, Cyperaceae, Typha, deciduous Quercus, Betula, and Corylus pollen were primarily transported through the inflowing rivers, whereas Pinus and Carpinus pollen were likely to have been transported by wind. The results of DCA (detrended correspondence analysis) analysis and analog dissimilarity analysis suggested that the pollen-spore distribution in the nearshore area of Liaodong Bay mainly reflects fluvial and marine hydrodynamics or water sorting effects, as well as the vegetation distribution onshore. These findings are of critical importance to the interpretation of Quaternary marine pollen data from Liaodong Bay, China.
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 2
    Publication Date: 2024-03-06
    Keywords: Abies; Alchornea; Alnus; Amaranthaceae; Artemisia; Aster-type; Balsaminaceae; Betula; Bryophytes; Calculated; Caprifoliaceae; Carpinus; Caryophyllaceae; Castanea; Casuarina; Cedrus; Chenopodiaceae; Commelinaceae; Concentricystes; Convolvulaceae; Corylus; Cruciferae; Cupressaceae; Cyperaceae; Dacrydium; Daliaohe_River-Lh11; Daliaohe_River-Lh12; Daliaohe_River-Lh13; Daliaohe_River-Lh14; Daliaohe_River-Lh15; Daliaohe_River-Lh16; Daliaohe_River-Lh17; Daliaohe_River-Lh18; Daliaohe_River-Lh19; Dalinghe_River-Lh31; Dalinghe_River-Lh32; Dalinghe_River-Lh35; Dalinghe_River-Lh36; Dalinghe_River-Lh37; Dalinghe_River-Lh38; Daqinghe_River-Lh1; Daqinghe_River-Lh2; Daqinghe_River-Lh3; Daqinghe_River-Lh4; Daqinghe_River-Lh6; Daqinghe_River-Lh7; Daqinghe_River-Lh8; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dryopteridaceae; Echinops-type; Elaeocarpaceae; Ephedra; Ericaceae; Euphorbiaceae; Eurya; Event label; Fagus; Gentianaceae; Geraniaceae; Gesneriaceae; Ginkgo; Grab; GRAB; Hamamelidaceae; Hicriopteris; Juglans; Lamiaceae; Latitude of event; Leguminosae; Liaodong_Bay-SP1; Liaodong_Bay-SP10; Liaodong_Bay-SP100; Liaodong_Bay-SP12; Liaodong_Bay-SP13; Liaodong_Bay-SP14; Liaodong_Bay-SP15; Liaodong_Bay-SP17; Liaodong_Bay-SP18; Liaodong_Bay-SP19; Liaodong_Bay-SP2; Liaodong_Bay-SP20; Liaodong_Bay-SP22; Liaodong_Bay-SP23; Liaodong_Bay-SP25; Liaodong_Bay-SP27; Liaodong_Bay-SP28; Liaodong_Bay-SP3; Liaodong_Bay-SP30; Liaodong_Bay-SP34; Liaodong_Bay-SP35; Liaodong_Bay-SP36; Liaodong_Bay-SP37; Liaodong_Bay-SP38; Liaodong_Bay-SP39; Liaodong_Bay-SP4; Liaodong_Bay-SP40; Liaodong_Bay-SP42; Liaodong_Bay-SP44; Liaodong_Bay-SP45; Liaodong_Bay-SP47; Liaodong_Bay-SP48; Liaodong_Bay-SP5; Liaodong_Bay-SP52; Liaodong_Bay-SP54; Liaodong_Bay-SP55; Liaodong_Bay-SP56; Liaodong_Bay-SP59; Liaodong_Bay-SP6; Liaodong_Bay-SP60; Liaodong_Bay-SP63; Liaodong_Bay-SP64; Liaodong_Bay-SP65; Liaodong_Bay-SP66; Liaodong_Bay-SP68; Liaodong_Bay-SP7; Liaodong_Bay-SP70; Liaodong_Bay-SP71; Liaodong_Bay-SP73; Liaodong_Bay-SP74; Liaodong_Bay-SP75; Liaodong_Bay-SP76; Liaodong_Bay-SP77; Liaodong_Bay-SP78; Liaodong_Bay-SP79; Liaodong_Bay-SP8; Liaodong_Bay-SP82; Liaodong_Bay-SP83; Liaodong_Bay-SP84; Liaodong_Bay-SP85; Liaodong_Bay-SP89; Liaodong_Bay-SP9; Liaodong_Bay-SP90; Liaodong_Bay-SP91; Liaodong_Bay-SP92; Liaodong_Bay-SP93; Liaodong_Bay-SP94; Liaodong_Bay-SP95; Liaodong_Bay-SP96; Liaodong_Bay-SP97; Liaodong_Bay-SP99; Liaohe_River-Lh21; Liaohe_River-Lh22; Liaohe_River-Lh23; Liaohe_River-Lh24; Liaohe_River-Lh25; Liaohe_River-Lh26; Liaohe_River-Lh28; Liaohe_River-Lh30; Liliaceae; Liquidambar; Lobeliaceae; Longitude of event; Lycopodium-type; Lythraceae; Mallotus; Malvaceae; Melastomataceae; Meliaceae; Mimosaceae; Moraceae; Musaceae; Myriophyllum; Myrtaceae; Nitraria; Oleaceae; Osmunda; Picea; Pinus; Platycarya; Poaceae; Podocarpus; Polygalaceae; Polygonum; Potamogetonaceae; Proteaceae; Quercus; Ranunculaceae; Rhamnaceae; Ricinus; Rosaceae; Rubiaceae; Rumex; Rutaceae; Salix; Sample ID; Sample mass; Sanguisorba; Sapindaceae; Sapotaceae; Saxifragaceae; Scrophulariaceae; Selaginella; Solanaceae; Spores, monolete; Spores, trilete; Sterculiaceae; Symplocaceae; Tamarix; Taraxacum-type; Taxodiaceae; Texture; Thalictrum; Thymelaeaceae; Tilia; Total concentration; Total counts; Tsuga; Typha; Ulmus; Umbelliferae; Valerianaceae; Verbenaceae; Xiaolinghe_River-Lh41; Xiaolinghe_River-Lh42; Xiaolinghe_River-Lh43; Xiaolinghe_River-Lh44; Xiaolinghe_River-Lh45; Xiaolinghe_River-Lh46; Xiaolinghe_River-Lh47; Xiaolinghe_River-Lh48; Xiaolinghe_River-Lh49; Yellow Sea, China; Zygnema
    Type: Dataset
    Format: text/tab-separated-values, 11799 data points
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  • 3
    Publication Date: 2024-03-06
    Keywords: Abies; Alchornea; Alnus; Amaranthaceae; Artemisia; Aster-type; Balsaminaceae; Betula; Bryophytes; Caprifoliaceae; Carpinus; Caryophyllaceae; Castanea; Casuarina; Cedrus; Chenopodiaceae; Commelinaceae; Concentricystes; Convolvulaceae; Corylus; Counting; Cruciferae; Cupressaceae; Cyperaceae; Dacrydium; Daliaohe_River-Lh11; Daliaohe_River-Lh12; Daliaohe_River-Lh13; Daliaohe_River-Lh14; Daliaohe_River-Lh15; Daliaohe_River-Lh16; Daliaohe_River-Lh17; Daliaohe_River-Lh18; Daliaohe_River-Lh19; Dalinghe_River-Lh31; Dalinghe_River-Lh32; Dalinghe_River-Lh35; Dalinghe_River-Lh36; Dalinghe_River-Lh37; Dalinghe_River-Lh38; Daqinghe_River-Lh1; Daqinghe_River-Lh2; Daqinghe_River-Lh3; Daqinghe_River-Lh4; Daqinghe_River-Lh6; Daqinghe_River-Lh7; Daqinghe_River-Lh8; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Dryopteridaceae; Echinops-type; Elaeocarpaceae; Ephedra; Ericaceae; Euphorbiaceae; Eurya; Event label; Fagus; Gentianaceae; Geraniaceae; Gesneriaceae; Ginkgo; Grab; GRAB; Hamamelidaceae; Hicriopteris; Juglans; Lamiaceae; Leguminosae; Liaodong_Bay-SP1; Liaodong_Bay-SP10; Liaodong_Bay-SP100; Liaodong_Bay-SP12; Liaodong_Bay-SP13; Liaodong_Bay-SP14; Liaodong_Bay-SP15; Liaodong_Bay-SP17; Liaodong_Bay-SP18; Liaodong_Bay-SP19; Liaodong_Bay-SP2; Liaodong_Bay-SP20; Liaodong_Bay-SP22; Liaodong_Bay-SP23; Liaodong_Bay-SP25; Liaodong_Bay-SP27; Liaodong_Bay-SP28; Liaodong_Bay-SP3; Liaodong_Bay-SP30; Liaodong_Bay-SP34; Liaodong_Bay-SP35; Liaodong_Bay-SP36; Liaodong_Bay-SP37; Liaodong_Bay-SP38; Liaodong_Bay-SP39; Liaodong_Bay-SP4; Liaodong_Bay-SP40; Liaodong_Bay-SP42; Liaodong_Bay-SP44; Liaodong_Bay-SP45; Liaodong_Bay-SP47; Liaodong_Bay-SP48; Liaodong_Bay-SP5; Liaodong_Bay-SP52; Liaodong_Bay-SP54; Liaodong_Bay-SP55; Liaodong_Bay-SP56; Liaodong_Bay-SP59; Liaodong_Bay-SP6; Liaodong_Bay-SP60; Liaodong_Bay-SP63; Liaodong_Bay-SP64; Liaodong_Bay-SP65; Liaodong_Bay-SP66; Liaodong_Bay-SP68; Liaodong_Bay-SP7; Liaodong_Bay-SP70; Liaodong_Bay-SP71; Liaodong_Bay-SP73; Liaodong_Bay-SP74; Liaodong_Bay-SP75; Liaodong_Bay-SP76; Liaodong_Bay-SP77; Liaodong_Bay-SP78; Liaodong_Bay-SP79; Liaodong_Bay-SP8; Liaodong_Bay-SP82; Liaodong_Bay-SP83; Liaodong_Bay-SP84; Liaodong_Bay-SP85; Liaodong_Bay-SP89; Liaodong_Bay-SP9; Liaodong_Bay-SP90; Liaodong_Bay-SP91; Liaodong_Bay-SP92; Liaodong_Bay-SP93; Liaodong_Bay-SP94; Liaodong_Bay-SP95; Liaodong_Bay-SP96; Liaodong_Bay-SP97; Liaodong_Bay-SP99; Liaohe_River-Lh21; Liaohe_River-Lh22; Liaohe_River-Lh23; Liaohe_River-Lh24; Liaohe_River-Lh25; Liaohe_River-Lh26; Liaohe_River-Lh28; Liaohe_River-Lh30; Liliaceae; Liquidambar; Lobeliaceae; Lycopodium-type; Lythraceae; Mallotus; Malvaceae; Melastomataceae; Meliaceae; Mimosaceae; Moraceae; Musaceae; Myriophyllum; Myrtaceae; Nitraria; Oleaceae; Osmunda; Picea; Pinus; Platycarya; Poaceae; Podocarpus; Polygalaceae; Polygonum; Potamogetonaceae; Proteaceae; Quercus; Ranunculaceae; Rhamnaceae; Ricinus; Rosaceae; Rubiaceae; Rumex; Rutaceae; Salix; Sample ID; Sample mass; Sanguisorba; Sapindaceae; Sapotaceae; Saxifragaceae; Scrophulariaceae; Selaginella; Solanaceae; Spores, monolete; Spores, trilete; Sterculiaceae; Symplocaceae; Tamarix; Taraxacum-type; Taxodiaceae; Texture; Thalictrum; Thymelaeaceae; Tilia; Total concentration; Total counts; Tsuga; Typha; Ulmus; Umbelliferae; Valerianaceae; Verbenaceae; Xiaolinghe_River-Lh41; Xiaolinghe_River-Lh42; Xiaolinghe_River-Lh43; Xiaolinghe_River-Lh44; Xiaolinghe_River-Lh45; Xiaolinghe_River-Lh46; Xiaolinghe_River-Lh47; Xiaolinghe_River-Lh48; Xiaolinghe_River-Lh49; Yellow Sea, China; Zygnema
    Type: Dataset
    Format: text/tab-separated-values, 11799 data points
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  • 4
    Publication Date: 2016-12-30
    Description: The burial efficiency of biogenic silica (BSi) in deltaic sediments is associated both with the nutrient balance in estuarine ecosystems and with the carbon cycle and climate change. To explore these relationships, foraminifera data, physical and chemical parameters, and ages determined by accelerator mass spectrometry 14 C and optically stimulated luminescence from a core drilled at the southwestern edge of the Lower Liaohe Plain in May 2012 were presented. The sedimentary environments since 33,000 cal yr BP were divided into four depositional units, namely, a fluvial deposit (U1), lacustrine deposit (U2), marine-related deposit (U3), and upper delta plain deposit (U4). Environmentally mediated differences in apparent mass accumulation rates (AMARs) of BSi and organic carbon (C org ) were significant. The BSi-AMAR in the later parts of U1 and U2 occurred mainly in the Pleistocene and averaged 11.34 ± 0.22 and 16.69 ± 0.91 g m −2 yr −1 , which is lower than the analogues for U3 (23.59 ± 2.89–41.74 ± 6.37 g m −2 yr −1 ) and U4 (37.25 ± 9.96 g m −2 yr −1 ) that occurred during the Holocene. The BSi record responded more coherently and was more sensitive than C org to Northern Hemisphere paleoclimatic variations on a long timescale and to abrupt/periodic winter monsoon winds or warming forcings on a short timescale. There was a negative correlation between the concentration of bioavailable Fe 2 O 3 and the ratio of BSi/C org , the implication being that Fe availability may have modulated silicic acid uptake on a very short timescale and in turn impacted the dynamics of carbon burial.
    Print ISSN: 0024-3590
    Electronic ISSN: 1939-5590
    Topics: Biology , Geosciences , Physics
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  • 5
    Publication Date: 2019
    Description: Abstract Arbuscular mycorrhizal fungi (AMF) is presumably to be associated with carbon sequestration and nutrient acquisition through mineral weathering in wetland ecosystems. However, information on AMF‐carbon‐weathering interactions is limited. Grain size, concentrations of nutrients, and the major components of 304 surface sediment samples and glomalin‐related soil protein (GRSP) in 133 surface sediment samples were analyzed in various environments, including the upper delta plain wetlands (UDPW) and its adjacent shallow sea wetlands (SSW), to evaluate the relationship among the GRSP, carbon content, nutrients, and chemical index of alteration (CIA) in the wetlands of the Liaohe Delta (LHD). The concentrations of GRSP in surface sediments ranged between ~ 0.11 and 11.31 mg g−1, with an average of 2.30 ± 0.17 mg g−1, and were significantly affected by the vegetation types. The ratios of organic carbon in GRSP (GRSP‐C) to soil organic carbon (SOC) varied from 0.71% to 25.34%, with an average of 10.34% ± 0.52%, indicating that the GRSP was an important carbon pool in sediments, and the carbon dynamics in these wetlands were closely related to human activities. Moreover, the CIA values ranged from ~ 18.97 to 68.75, and were significantly higher in the UDPW than in the SSW (p 〈 0.05), and were significantly correlated with the concentrations of GRSP (r2 = 0.22 [r = 0.43], p 〈 0.01). Meanwhile, both the CIA and GRSP were significantly correlated with SOC, Total Nitrogen, and Fe (r2 〉 0.17 [r 〉 0.41], p 〈 0.01). The results indicate that AMF excursions in wetland ecosystems enhance carbon sequestration and mineral weathering, and in turn they alter retention of at least some nutrients.
    Print ISSN: 0024-3590
    Electronic ISSN: 1939-5590
    Topics: Biology , Geosciences , Physics
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  • 6
    Publication Date: 2004-04-01
    Print ISSN: 1365-1609
    Electronic ISSN: 1873-4545
    Topics: Architecture, Civil Engineering, Surveying , Geosciences
    Published by Elsevier
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  • 7
    Publication Date: 2004-05-01
    Print ISSN: 1365-1609
    Electronic ISSN: 1873-4545
    Topics: Architecture, Civil Engineering, Surveying , Geosciences
    Published by Elsevier
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