Sheep was one of the first domesticated animals in Neolithic West Eurasia. The zooarchaeological record suggests that domestication first took place in Southwest Asia, although much remains unresolved about the precise location(s) and timing(s) of earliest domestication, or the post-domestication history of sheep. Here, we present 24 new partial sheep paleogenomes, including a 13,000-year-old Epipaleolithic Central Anatolian wild sheep, as well as 14 domestic sheep from Neolithic Anatolia, two from Neolithic Iran, two from Neolithic Iberia, three from Neolithic France, and one each from Late Neolithic/Bronze Age Baltic and South Russia, in addition to five present-day Central Anatolian Mouflons and two present-day Cyprian Mouflons. We find that Neolithic European, as well as domestic sheep breeds, are genetically closer to the Anatolian Epipaleolithic sheep and the present-day Anatolian and Cyprian Mouflon than to the Iranian Mouflon. This supports a Central Anatolian source for domestication, presenting strong evidence for a domestication event in SW Asia outside the Fertile Crescent, although we cannot rule out multiple domestication events also within the Neolithic Fertile Crescent. We further find evidence for multiple admixture and replacement events, including one that parallels the Pontic Steppe-related ancestry expansion in Europe, as well as a post-Bronze Age event that appears to have further spread Asia-related alleles across global sheep breeds. Our findings mark the dynamism of past domestic sheep populations in their potential for dispersal and admixture, sometimes being paralleled by their shepherds and in other cases not.
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RBINS Staff Publications 2023
As the offshore wind energy technology is rapidly progressing and because wind turbines at sea have a relatively short life span, repowering scenarios are already being discussed for the oldest wind farms. Ongoing developments result in larger wind turbines and an increased open airspace between turbines. Despite taller towers having larger rotor swept zones and therefore a higher collision risk area compared to smaller-sized turbines, there is increasing evidence that fewer but larger, more power-efficient turbines may have a lower collision rate per installed megawatt. As such, turbine size can offer an opportunity to mitigate seabird fatalities by increasing the clearance below the lower rotor tip. We assessed the seabird collision risk for a hypothetical repowering scenario of the first offshore wind farm zone in Belgian waters with larger turbines and the effect of an additional increase in hub height on that theoretical collision risk. For all species included in this exercise, the estimated collision risk decreased in a repowering scenario with 15 MW turbines (40.4% reduction on average) because of higher clearance between the lower tip of the turbine rotor and the sea level, and the need for a lower number of turbines per km². Increasing the hub height of those 15 MW turbines with 10 m, further decreases the expected number of seabird collisions with another 37% on average. However, terrestrial birds and bats also migrate at sea and the effect of larger turbines on these taxa is less clear. Possibly even more terrestrial birds and bats are at risk of collision compared to the current turbines. So, while larger turbines and increasing the hub height can be beneficial for seabirds, this likely needs to be applied in combination with curtailment strategies, which stop the turbines during heavy migration events, to reduce the impact on other species groups.
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RBINS Staff Publications 2022
This paper describes the design and build of a pilot Natural Sciences Collections Digitisation Dashboard (CDD). The CDD will become a key service for the Distributed System of Scientific Collections Research Infrastructure (DiSSCo) and aims to improve the discoverability of natural science collections (NSCs) held in European institutions, both digitised and undigitised. Furthermore, it will serve as a dynamic visual assessment tool for strategic decision-making, including the prioritisation of digitisation. The CDD pilot includes high-level information from nine European NSCs, covering the number of objects, taxonomic scope, storage type, chronostratigraphy (Earth Science Collections), geographical region and level of detail in digitisation. This information is structured through a standardised Collection Classification Scheme, which uses high-level categorisation to describe physical natural science collections.
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RBINS Staff Publications 2024 OA
DaRWIN (Data Research Warehouse Information Network) is an in-house solution developed by the Royal Belgian Institute of Natural Sciences (RBINS), as a Natural History collections management system for biological and geological samples in collections. In 2014, the Royal Museum for Central Africa (RMCA) adopted this system for its collections and started to take part in new developments. The DaRWIN database currently manages information on more than 600,000 records (about 4 million specimens) housed at the RBINS and more than 650,000 records (more than 1 million specimens) at the RMCA. DaRWIN is an open source system, consisting of a PostgreSQL database and a customizable web-interface based on the Symfony framework (https://symfony.com). DaRWIN is divided into 2 parts: one public section that gives a “read-only” access to digitised specimens, one section for registered users, with different levels of access rights (user, encoder, conservator and administrator), customizable for each collection and allowing update of specimens and collections, daily management of collections, and the potential for dealing with sensitive information. DaRWIN stores sample data and related information such as place and date of collection, missions and collectors, identifiers, technicians involved, taxonomy, identification information (type, stage, state, etc.), bibliography, related files, storage, etc. Other features that deal with day-to-day curation operations are available: loans, printing of labels for storage, statistics and reporting. DaRWIN features its own JSON (JavaScript Object Notation) webservice for specimens and scientific names and can export data in tab-delimited, Excel, PDF and GeoJSON formats. More recently, a procedure for importing batches of data has been developed, based on tab-delimited files, making integration of data from (old/historical) databases faster and more controlled. Additional improvements of$~$the$~$user interface and database model have been made. For example, parallel taxonomical hierarchies can be created, allowing users to work with temporary taxonomies, old scientific names (basionyms and synonyms) and document the history of type specimens. Finally, quality control and data cleaning on several tables have been implemented, e.g. mapping of locality names with vocabularies like Geonames, adding ISO 3166 two-letter country codes (https://www.iso.org/iso-3166-country-codes.html), cleaning duplicates from people/institutions and taxonomy catalogues. A tool for checking taxonomical names on GBIF (Global Biodiversity Information Facility), WoRMS (World Register of Marine Species) and DaRWIN itself, based on webservices and tab-delimited files, has been developed. Last year, RBINS, RMCA and Meise Botanic Garden (MBG) defined a new framework of collaboration in the NaturalHeritage project (http://www.naturalheritage.be), in order to foster interoperability among their collection data sources. This new framework presents itself as one common research portal$~$for$~$data on natural history collections (from DaRWIN and other existing collection databases) of the three partnered institutions and makes data compliant to a standard agreed by the partners. See Poster "NaturalHeritage: Bridging Belgian Natural History Collections" for more information. DaRWIN is accessible online (http://darwin.naturalsciences.be). A Github repository is also available (https://github.com/naturalsciences/natural\_heritage\_darwin).
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RBINS Staff Publications 2019