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7 results for “Lake Constance”
Vegetation changes over the last centuries in the Lower Lake Constance region reconstructed from sediment-core environmental DNA
<p>Many European lake ecosystems, including their respective catchment areas, underwent anthropogenic environmental changes over the last centuries. This has resulted in changes in the aquatic and terrestrial vegetation, but historical records on the composition of the past vegetation on centennial scale are scarce. In this study, we examined changes in the terrestrial and aquatic plant communities in and around Lower Lake Constance using metabarcoding of sedimentary DNA (sedDNA) of three cores from different sub- basins covering the past, up to 300 years. We successfully identified an average of c. 3000 sequence variants (molecular operational taxonomic units - MOTUs) and obtained a taxonomically annotated dataset of 127 species, 104 genera and 72 families. We could detect major changes in the terrestrial and aquatic vegetation of the Lower Lake Constance region by examining the cores. For example, alpha diversity decreased in the last c. 100 years, and this decrease was more pronounced in the terrestrial than in the aquatic plant community. Unlike the terrestrial plant-community, the current aquatic plant- community composition partially resembles the community from before the 20th-century eutrophication phase of the lake. In addition to changes that can be attributed to anthropogenic impacts, we also captured the effect of DNA sedimentation on the terrestrial DNA diversity representation in sediments during periods of extensive flooding and potentially as a consequence of extremely cold winters. With 1sedDNA from Lower Lake Constance, we provide a new local dataset to investigate and extend the historical changes of different shoreline habitats and to identify characteristic and invasive plant species. Such highly-resolved datasets spanning the past centuries can provide detailed information on human environmental history in densely populated regions that have undergone severe changes in the recent past.</p>
Genetic data from: Cryptic persistence and loss of local endemism in Lake Constance charr subject to anthropogenic disturbance
<p>Habitat restoration can help to protect and support endangered species. Following the restoration of Lake Constance to oligotrophic conditions, deep-water charr (originally described as <em>Salvelinus</em> <em>profundus</em> Schillinger, 1901) were rediscovered after more than 40 years of presumed extinction caused by eutrophication. Subsequent targeted surveys lead to the capture of a further 127 deep-water charr and 233 sympatric normal charr, <em>Salvelinus</em> cf. <em>umbla</em>. Given a history of intensive stocking in the lake and the possibility of introgressive hybridization, a discussion arose about the genetic status and future conservation strategies of both forms. The current study gathered life history traits and morphological and population genomic data for both extant forms, for comparison with 60–120 years' worth of historical data and museum specimens. The extant deep-water charr resembled historical specimens in terms of body shape, but significant differences between historical and extant normal charr included a decline in gill raker number over time and distinctly different body shapes and growth patterns. RAD-based population genomic analyses of the contemporary samples support these results, revealing the two extant forms to be highly divergent, albeit with a few putative hybrids. SNPs-based population assignment tests of historical and contemporary samples strongly suggest that deep-water charr persisted unaltered in Lake Constance during the eutrophic phase. Meanwhile, none of the historical genomic samples could be assigned to the extant normal <em>S</em>. cf. <em>umbla</em> population. Functional analyses of gill raker number and stocking intensity pointed to stocking with non-endemic charr as the most likely reason for the disappearance of the endemic normal form. These results show that interplay between different anthropogenic impacts, i.e. eutrophication and stocking can lead to irreversible but hard-to-detect impacts on endemic biodiversity. Understanding these impacts is a prerequisite for effective conservation of endangered populations of cryptic fish.</p>
Genetic data from: Cryptic persistence and loss of local endemism in Lake Constance charr subject to anthropogenic disturbance
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Seasonal (2017-2018) diet of pelagic whitefish and sticklebacks in Upper Lake Constance
<p>From April 2017 to May 2018, fishing with gillnets and trawling, as well as zooplankton sampling was performed on monthly basis in the pelagic zone of Upper Lake Constance, Germany. Datasets contain information about the seasonal density of zooplankton species, as well as whitefish' and sticklebacks' seasonal diet.</p>
Supplementary material 2 from: Dahms C, Roch S, Elmer KR, Ros A, Brinker A, Jacobs A (2024) Intra-lake origin and rapid expansion of invasive pelagic three-spined stickleback in Lake Constance. NeoBiota 92: 259-280. https://doi.org/10.3897/neobiota.92.117430
Sample information
Supplementary material 1 from: Dahms C, Roch S, Elmer KR, Ros A, Brinker A, Jacobs A (2024) Intra-lake origin and rapid expansion of invasive pelagic three-spined stickleback in Lake Constance. NeoBiota 92: 259-280. https://doi.org/10.3897/neobiota.92.117430
Supplementary methods and results
Supplementary material 1 from: Gugele SM, Baer J, Spießl C, Yohannes E, Blumenshine S, Roberts BJ, Mota-Ferreira MR, Brinker A (2023) Stable isotope values and trophic analysis of invasive three-spined stickleback in Upper Lake Constance points to significant piscivory. NeoBiota 87: 73-102. https://doi.org/10.3897/neobiota.87.100355
Supplementary information
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Allen Brain Atlas
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.