AI Summary & Key Takeaways
AI InsightThe CCA results indicated that 8 environmental variables including longitude, distance to sea, maximum temperature, mean temperature, minimum temperature, potential evapotranspiration, elevation, and precipitation are the most effective in explaining the spatial distribution of the 18 Acantholimon taxa in Turkey.
📌 3 Key Takeaways
Abstract
We describe the spatial distribution of the genus Acantholimon Boiss. (Plumbaginaceae) taxa in Turkey, and assess the role that environmental variables may be playing on this distribution. We collected a large number of specimens from 418 geo-referenced sampling sites between 2000 and 2004, and established a point database using geographic information systems (GIS) software. As a result, we identified and mapped 67 taxa; 43 of the determined taxa appear to be endemic. We re-evaluated the current conservation status of the taxa at a national level using recent IUCN Red List categories. In addition, we extracted the corresponding environmental variables of each determined point from the updated and available environmental raster map layers of Turkey and analysed the obtained taxa and environmental data by Hierarchical Clustering and Canonical Correspondence Analysis (CCA). Hierarchical Clustering delineated the subgroups, which have similarities at various levels in respect to environmental variables. The CCA results indicated that 8 environmental variables including longitude, distance to sea, maximum temperature, mean temperature, minimum temperature, potential evapotranspiration, elevation, and precipitation are the most effective in explaining the spatial distribution of the 18 Acantholimon taxa in Turkey.
Özet
We describe the spatial distribution of the genus Acantholimon Boiss. (Plumbaginaceae) taxa in Turkey, and assess the role that environmental variables may be playing on this distribution. We collected a large number of specimens from 418 geo-referenced sampling sites between 2000 and 2004, and established a point database using geographic information systems (GIS) software. As a result, we identified and mapped 67 taxa; 43 of the determined taxa appear to be endemic. We re-evaluated the current conservation status of the taxa at a national level using recent IUCN Red List categories. In addition, we extracted the corresponding environmental variables of each determined point from the updated and available environmental raster map layers of Turkey and analysed the obtained taxa and environmental data by Hierarchical Clustering and Canonical Correspondence Analysis (CCA). Hierarchical Clustering delineated the subgroups, which have similarities at various levels in respect to environmental variables. The CCA results indicated that 8 environmental variables including longitude, distance to sea, maximum temperature, mean temperature, minimum temperature, potential evapotranspiration, elevation, and precipitation are the most effective in explaining the spatial distribution of the 18 Acantholimon taxa in Turkey.