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:7c84e06d-bb1a-4aac-b1d7-33c11310d8a0
dcterms:title "Non-native plant species GIS data from Cyprus Sovereign Base Areas, October 2015 and March 2017" ;
dcterms:identifier <https://catalogue.ceh.ac.uk/id/7c84e06d-bb1a-4aac-b1d7-33c11310d8a0> ;
adms:identifier <https://doi.org/10.5285/7c84e06d-bb1a-4aac-b1d7-33c11310d8a0> ;
dcterms:bibliographicCitation "Pescott, O.L., Peyton, J., Mountford, J., Onete, M., Martinou, A. (2017). Non-native plant species GIS data from Cyprus Sovereign Base Areas, October 2015 and March 2017. NERC Environmental Information Data Centre. https://doi.org/10.5285/7c84e06d-bb1a-4aac-b1d7-33c11310d8a0" ;
dcterms:description "This dataset comprises forest stand and species occurrence data for a selection of non-native species collected in the UK Sovereign Base Areas (SBA) of Cyprus in October 2015 and March 2017, with a particular focus on the area surrounding Lake Akrotiri in the Western SBA. The main focus for mapping was stands of Acacia saligna, Casuarina cunninghamiana, the eucalypts Eucalyptus camaldulensis and E. gomphocephala, and the forb Symphyotrichum squamatum. The typical accuracy of data capture was around 10-15 m precision, varying according to the presence of forest canopy." ;
dcterms:provenance [
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rdfs:label "The data were captured in the field on GPS-enabled ruggedised tablet computers. The typical accuracy of data capture was around 10-15 m precision, varying according to the presence of forest canopy. Plant species determinations were checked against standard Floras and other guides, both in the field and using specimens, with the authors working together to unify determinations across the project."
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