An ecological connectivity dataset for Black Sea obtained from sea currentsZenodo
Incorporating ecological connectivity into spatial conservation planning is increasingly recognized as a key strategy to facilitate species movements, especially under changing environmental conditions. However, obtaining connectivity data is challenging, especially in the marine realm. Sea currents...
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| Language: | English |
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Elsevier
2025-02-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924012307 |
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| author | Nikolaos Nagkoulis Christos Adam Ioannis Mamoutos Stelios Katsanevakis Antonios D. Mazaris |
| author_facet | Nikolaos Nagkoulis Christos Adam Ioannis Mamoutos Stelios Katsanevakis Antonios D. Mazaris |
| author_sort | Nikolaos Nagkoulis |
| collection | DOAJ |
| description | Incorporating ecological connectivity into spatial conservation planning is increasingly recognized as a key strategy to facilitate species movements, especially under changing environmental conditions. However, obtaining connectivity data is challenging, especially in the marine realm. Sea currents are essential for exploring marine structural connectivity, but transforming sea current data into spatial connectivity matrices involves complex and resource-intensive processing steps to ensure accuracy and usability. Here, an applied a graph-based methodology has been developed to transform current data into formats suitable for delineating ecological corridors and applied to Black Sea. The dataset produced can be integrated to spatial conservation prioritization tools to incorporate connectivity in the analysis. This approach involved converting current centroids into points and projecting current directions and magnitudes onto a nearest-neighbour graph connecting these points. Using open-source data from the Copernicus Black Sea Physics Reanalysis dataset from 1993 to 2023, a high-resolution dataset of graph objects (edge lists) and shapefiles (points and edges) for the Black Sea has been created. Analyses were conducted in R, and the algorithm developed to produce the data is accessible on Zenodo. The resulting datasets are compatible with multiple software platforms (e.g., R, Python, and QGIS). A total of 17 datasets are provided from 1993 to 2023: twelve for monthly, four for seasonal, and one for yearly aggregation, supporting diverse spatial and temporal analysis needs. Overall, the datasets can be used to analyse connectivity patterns across the entire Black Sea or focus on specific regions, particularly useful for ecological modelling, and environmental protection purposes. |
| format | Article |
| id | doaj-art-1428a3698dcc4a62bbee40dcce3d39e4 |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-1428a3698dcc4a62bbee40dcce3d39e42025-01-31T05:11:45ZengElsevierData in Brief2352-34092025-02-0158111268An ecological connectivity dataset for Black Sea obtained from sea currentsZenodoNikolaos Nagkoulis0Christos Adam1Ioannis Mamoutos2Stelios Katsanevakis3Antonios D. Mazaris4Department of Ecology, School of Biology, Aristotle University of Thessaloniki, Thessaloniki, Greece; Department of Marine Sciences, University of the Aegean, 81100 Mytilene, Greece; Corresponding author at: Department of Marine Sciences, University of the Aegean, 81100 Mytilene, Greece.Department of Marine Sciences, University of the Aegean, 81100 Mytilene, GreeceDepartment of Marine Sciences, University of the Aegean, 81100 Mytilene, GreeceDepartment of Marine Sciences, University of the Aegean, 81100 Mytilene, GreeceDepartment of Ecology, School of Biology, Aristotle University of Thessaloniki, Thessaloniki, GreeceIncorporating ecological connectivity into spatial conservation planning is increasingly recognized as a key strategy to facilitate species movements, especially under changing environmental conditions. However, obtaining connectivity data is challenging, especially in the marine realm. Sea currents are essential for exploring marine structural connectivity, but transforming sea current data into spatial connectivity matrices involves complex and resource-intensive processing steps to ensure accuracy and usability. Here, an applied a graph-based methodology has been developed to transform current data into formats suitable for delineating ecological corridors and applied to Black Sea. The dataset produced can be integrated to spatial conservation prioritization tools to incorporate connectivity in the analysis. This approach involved converting current centroids into points and projecting current directions and magnitudes onto a nearest-neighbour graph connecting these points. Using open-source data from the Copernicus Black Sea Physics Reanalysis dataset from 1993 to 2023, a high-resolution dataset of graph objects (edge lists) and shapefiles (points and edges) for the Black Sea has been created. Analyses were conducted in R, and the algorithm developed to produce the data is accessible on Zenodo. The resulting datasets are compatible with multiple software platforms (e.g., R, Python, and QGIS). A total of 17 datasets are provided from 1993 to 2023: twelve for monthly, four for seasonal, and one for yearly aggregation, supporting diverse spatial and temporal analysis needs. Overall, the datasets can be used to analyse connectivity patterns across the entire Black Sea or focus on specific regions, particularly useful for ecological modelling, and environmental protection purposes.http://www.sciencedirect.com/science/article/pii/S2352340924012307Graph theorySpeciesDistributionMarineConservation |
| spellingShingle | Nikolaos Nagkoulis Christos Adam Ioannis Mamoutos Stelios Katsanevakis Antonios D. Mazaris An ecological connectivity dataset for Black Sea obtained from sea currentsZenodo Data in Brief Graph theory Species Distribution Marine Conservation |
| title | An ecological connectivity dataset for Black Sea obtained from sea currentsZenodo |
| title_full | An ecological connectivity dataset for Black Sea obtained from sea currentsZenodo |
| title_fullStr | An ecological connectivity dataset for Black Sea obtained from sea currentsZenodo |
| title_full_unstemmed | An ecological connectivity dataset for Black Sea obtained from sea currentsZenodo |
| title_short | An ecological connectivity dataset for Black Sea obtained from sea currentsZenodo |
| title_sort | ecological connectivity dataset for black sea obtained from sea currentszenodo |
| topic | Graph theory Species Distribution Marine Conservation |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924012307 |
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