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  • 1
    Publication Date: 2022-09-22
    Description: Arctic and alpine aquatic ecosystems are changing rapidly under recent global warming, threatening water resources by diminishing trophic status and changing biotic composition. Macrophytes play a key role in the ecology of freshwaters and we need to improve our understanding of long‐term macrophytes diversity and environmental change so far limited by the sporadic presence of macrofossils in sediments. In our study, we applied metabarcoding using the trnL P6 loop marker to retrieve macrophyte richness and composition from 179 surface‐sediment samples from arctic Siberian and alpine Chinese lakes and three representative lake cores. The surface‐sediment dataset suggests that macrophyte richness and composition are mostly affected by temperature and conductivity, with highest richness when mean July temperatures are higher than 12°C and conductivity ranges between 40 and 400 μS cm−1. Compositional turnover during the Late Pleistocene/Holocene is minor in Siberian cores and characterized by a less rich, but stable emergent macrophyte community. Richness decreases during the Last Glacial Maximum and rises during wetter and warmer climate in the Late‐glacial and Mid‐Holocene. In contrast, we detect a pronounced change from emergent to submerged taxa at 14 ka in the Tibetan alpine core, which can be explained by increasing temperature and conductivity due to glacial runoff and evaporation. Our study provides evidence for the suitability of the trnL marker to recover modern and past macrophyte diversity and its applicability for the response of macrophyte diversity to lake‐hydrochemical and climate variability predicting contrasting macrophyte changes in arctic and alpine lakes under intensified warming and human impact.
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: National Natural Science Foundation of China http://dx.doi.org/10.13039/501100001809
    Description: Second Tibetan Plateau Scientific Expedition and Research Program
    Description: https://doi.pangaea.de/10.1594/PANGAEA.920866
    Description: https://doi.org/10.5061/dryad.k6djh9w4r
    Keywords: ddc:577.63
    Language: English
    Type: doc-type:article
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  • 2
    Publication Date: 2023-11-03
    Description: Lakes cover large parts of the climatically sensitive Arctic landscape and respond rapidly to environmental change. Freshwater diatoms dominate the primary producer community in these lakes and can be used to detect biotic responses to climate and environmental change. We used specific diatom metabarcoding on sedimentary DNA, combined with next-generation sequencing and diatom morphology, to assess diatom diversity in five glacial and 15 thermokarst lakes within the easternmost expanse of the Siberian treeline ecotone in Chukotka, Russia. We obtained 163 verified diatom sequence types and identified 176 diatom species morphologically. Raw and resampled read counts of diatom DNA sequences retrieved from our approach are and its taxonomic classifications are listed in the spread sheet: Huang_16KP_diat_JOPL.xlsx. The retrieved diatom sequences are listed in the fasta file: 16KP_diat_sequences.fasta. Raw and resampled valve counts of morphologically identified diatom taxa are summarized in the spreadsheet Huang_16KP_diat_JOPL.xlsx.
    Keywords: 16-KP-01-L01; 16-KP-01-L02; 16-KP-01-L03; 16-KP-01-L04; 16-KP-01-L05; 16-KP-02-L07; 16-KP-02-L08; 16-KP-02-L09; 16-KP-03-L10; 16-KP-03-L11; 16-KP-03-L13; 16-KP-03-L14; 16-KP-03-L15; 16-KP-03-L16; 16-KP-03-L17; 16-KP-03-L18; 16-KP-04-L19; 16-KP-04-L20; 16-KP-04-L21; 16-KP-04-L22; Achnanthes spp.; Achnanthidium minutissimum; Actinella punctata; Acutodesmus obliquus; Amphora fogediana; Amphora ovalis; Amphora pediculus; Amphora spp.; Amphora staurosiroides; Anomoeoneis spp.; Arctic; Asterionella formosa; Aulacoseira alpigena; Aulacoseira ambigua; Aulacoseira distans; Aulacoseira lirata; Aulacoseira muzzanensis; Aulacoseira perglabra; Aulacoseira spp.; Aulacoseira subarctica; Aulacoseira tethera; Aulacoseira valida; AWI_Envi; AWI Arctic Land Expedition; Brachysira brebissonii; Brachysira vitrea; Brachysira zellensis; Caloneis baccilum; Caloneis silicula; Camphilodiscus spp.; Campylodiscus hibernicus; Cancris inaequalis; Caracomia arctica; Cavinula cocconeiformis; Cavinula jaernefeltii; Cavinula pseudoscutiformis; Cocconeis placentula; Counting, diatoms; Cyclotella iris; Cyclotella spp.; Cyclotella tripartita; Cymbella cesattii; Cymbella naviculiformis; Cymbella spp.; Diatomella balfouriana; diatoms; Diploneis elliptica; Diploneis finnica; Diploneis marginestriata; Diploneis modica; Diploneis oblongella; Diploneis ovalis; Drymyomma elegans; Elevation of event; Encyonema alpinum; Encyonema cespitosum; Encyonema hebridicum; Encyonema mesianum; Encyonema minutum; Encyonema muelleri; Encyonema paucistriatum; Encyonema silesiacum; Epithemia sorex; Eriophorum gracile; Eucocconeis flexella; Eunotia arculus; Eunotia arcus; Eunotia bilunaris; Eunotia diadema; Eunotia diodon; Eunotia faba; Eunotia fallax; Eunotia incisa; Eunotia monodon; Eunotia mucophila; Eunotia nymanniana; Eunotia paludosa; Eunotia parallela; Eunotia pectinalis; Eunotia praerupta; Eunotia septentrionalis; Eunotia spp.; Eunotia sudetica; Eunotia tetraodon; Eunotia triodon; Event label; Fragilaria acus; Fragilaria capucina; Fragilaria constricta; Fragilaria lata; Fragilaria spp.; Fragilaria tenera; Fragilariforma virescens var. subsalina; Frustulia rhomboides; Geissleria ignota var. palustris; Geissleria schoenfeldii; Gomphonema acuminatum; Gomphonema affine; Gomphonema angustum; Gomphonema clavatum; Gomphonema gracile; Gomphonema insigne; Gomphonema lagerheimii; Gomphonema olivaceum var. fonticola; Gomphonema parvulum; Gomphonema spp.; Gyrosigma attenuatum; Gyrosigma spp.; Hannaea inaequidentata; Hantzschia amphioxys; Hippodonta costulata; Humidophola contenta; Karayevia laterostrata; Karayevia suchlandtii; Keperveem_2016; lakes; Latitude of event; Lindavia bodanica; Lindavia ocellata; Longitude of event; Luticola mutica; Martyana schulzii; Melosira moniliformis; Meridion circulare; Navicula libonensis; Navicula radiosa; Navicula spp.; Navicula vulpina; Neidium bisulcatum; Neidium hitchcockii; Neidium iridis et forma vernales; Neidium spp.; Nitzschia acicularis; Nitzschia alpina; Nitzschia amphibia; Nitzschia spp.; Peronia fibula; Peroniopsis heribaudii; Pinnularia balfouriana; Pinnularia borealis; Pinnularia braunii; Pinnularia brevicostata; Pinnularia dactylus; Pinnularia gentilis; Pinnularia gibba; Pinnularia hemiptera; Pinnularia interrupta; Pinnularia microstauron; Pinnularia nodosa; Pinnularia obscura; Pinnularia schwabei; Pinnularia stomatophora; Pinnularia viridis; Placoneis elginensis; Planothidium calcar; Planothidium lanceolatum; Planothidium oestrupii; Pliocaenicus spp.; Polar Terrestrial Environmental Systems @ AWI; Psammothidium chlidanos; Psammothidium rossii; Pseudostaurosira brevistriata; Pseudostaurosira parasitica; Pseudostaurosira pseudoconstruens; Rhoicosphenia abbreviata; Rossithidium pusillum; RU-Land_2016_Keperveem; Sedimentary DNA; Sellaphora bacillum; Sellaphora pupula; Siberia; Sosane gracilis; Station label; Stauroneis anceps; Stauroneis phoenicenteron; Stauroneis smithii; Staurosira construens; Staurosira construens var. exigua; Staurosira venter; Staurosirella pinnata; Stephanodiscus spp.; Stephanodiskus rotula; Surirella amphioxys; Surirella angusta; Surirella linearis var. helvetica; Surirella robusta; Synedra cyclopum; Tabellaria fenestrata; Tabellaria flocculosa; Tetracyclus glans; Tryblionella angustata; Tschukotka, Sibiria, Russia; Ulnaria ulna; Water sampler, UWITEC; WSUWI
    Type: Dataset
    Format: text/tab-separated-values, 3540 data points
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  • 3
    Publication Date: 2024-02-06
    Description: In this dataset, we provide the age-depth model of a lake sediment core covering the last 28 thousand years from the Siberian forest-tundra ecotone. The age model provides temporal information for a project that applies sedimentary ancient DNA metabarcoding using the plant-specific g and h primers of the trnL gene to track the compositional and diversity changes of terrestrial plants. Lake Ilirney is bounded by the Anadyr Mountains (up to 1790 m a.s.l.) to the north. According to the meteorological station at Ilirney, mean annual temperature is -13.5°C, and mean January and July temperatures are -33.4 and 12.1°C, respectively. Core “16-KP-01-L02 Long 3” was obtained from Lake Ilirney (67.34148, 168.30443) in summer 2016 as part of a joint Russian-German Expedition. The coring was accomplished using a UWITEC gravity corer equipped with a hammer action (Vyse et al. 2020; doi:10.1016/j.quascirev.2020.106607). The core has a total length of 235 cm. The age-depth model is based on Accelerator Mass Spectrometry (AMS) radiocarbon dating of seven bulk total organic carbon samples from this core (Andreev et al. 2020 in review) and correlation to a nearby 1040 cm sediment core with 25 dates (Vyse et al. 2020). 14C ages were calibrated using the IntCal13 calibration curve and modelled according to Andreev et al. (in review).
    Keywords: 16-KP-01-L02_Long_3; Age, 14C calibrated, IntCal13 (Reimer et al., 2013); Age, dated; Arctic Russia; AWI_Envi; AWI Arctic Land Expedition; Chukotka; DEPTH, sediment/rock; GCUWI; Glacial; Gravity corer, UWITEC; Holocene; Keperveem_2016; Polar Terrestrial Environmental Systems @ AWI; RU-Land_2016_Keperveem; Siberia; Treeline; Tschukotka, Sibiria, Russia; Tundra
    Type: Dataset
    Format: text/tab-separated-values, 58 data points
    Location Call Number Limitation Availability
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