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- Dornelas, M., et al.
(author)
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BioTIME: A database of biodiversity time series for the Anthropocene
- 2018
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In: Global Ecology and Biogeography. - : Wiley. - 1466-822X .- 1466-8238. ; 27:7, s. 760-786
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Journal article (peer-reviewed)abstract
- Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene. Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record. Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km(2) (158 cm(2)) to 100 km(2) (1,000,000,000,000 cm(2)). Time period and grainBio: TIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year. Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates.
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- Star, B., et al.
(author)
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Ancient DNA reveals the Arctic origin of Viking Age cod from Haithabu, Germany
- 2017
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In: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences. - 0027-8424. ; 114:34, s. 9152-9157
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Journal article (peer-reviewed)abstract
- Knowledge of the range and chronology of historic trade and long-distance transport of natural resources is essential for determining the impacts of past human activities on marine environments. However, the specific biological sources of imported fauna are often difficult to identify, in particular if species have a wide spatial distribution and lack clear osteological or isotopic differentiation between populations. Here, we report that ancient fish-bone remains, despite being porous, brittle, and light, provide an excellent source of endogenous DNA (15-46%) of sufficient quality for whole-genome reconstruction. By comparing ancient sequence data to that of modern specimens, we determine the biological origin of 15 Viking Age (800-1066 CE) and subsequent medieval (1066-1280 CE) Atlantic cod (Gadus morhua) specimens from excavation sites in Germany, Norway, and the United Kingdom. Archaeological context indicates that one of these sites was a fishing settlement for the procurement of local catches, whereas the other localities were centers of trade. Fish from the trade sites show a mixed ancestry and are statistically differentiated from local fish populations. Moreover, Viking Age samples from Haithabu, Germany, are traced back to the North East Arctic Atlantic cod population that has supported the Lofoten fisheries of Norway for centuries. Our results resolve a long-standing controversial hypothesis and indicate that the marine resources of the North Atlantic Ocean were used to sustain an international demand for protein as far back as the Viking Age.
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- Boese, Vanessa Alexandra, et al.
(author)
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Patterns of Democracy over Space and Time
- 2022
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In: International Studies Quarterly. - : Oxford University Press (OUP). - 0020-8833 .- 1468-2478. ; 66:3
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Journal article (peer-reviewed)abstract
- Unidimensional measures of democracy fail to account for the complex and varied nature of political systems. This article disaggregates the concept of democracy and proposes a multidimensional conceptualization to account for this variation in institutional configurations. Three theoretically informed dimensions are featured: participation, electoral contestation, and constraints on the executive. The three dimensions constitute a cube covering all regime types, in which we place countries using V-Dem data from 1789 to 2019. This cube of democracy patterns reveals several interesting observations. We trace historical patterns of democratization and discuss how countries across the world have taken different paths at different times. Our conceptualization shows that political systems with a similar score along a unidimensional scale are often quite distinct. In addition, across the globe for 200 years, certain configurations of political institutions rarely occur. Furthermore, our approach reveals interesting patterns of regime convergence and divergence over time. Finally, we show that the typical pathways to democracy have changed since 1789. This multidimensional conceptualization ultimately opens up new avenues for research in which institutional variation and change can be studied in greater detail.
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