Open AccessUSING SDM FOR MODELING THE POTENTIAL RANGE OF <i>COCHLODINA LAMINATA</i> (GASTROPODA, PULMONATA, CLAUSILIIDAE) IN EUROPE
Author(s) -
Valeria V. Adamova
Publication year - 2021
Publication title -
èkologiâ. èkonomika. informatika. tom 1: sistemnyj analiz i modelirovanie èkonomičeskih i èkologičeskih sistem
Language(s) - English
Resource type - Journals
ISSN - 2500-395X
DOI - 10.23885/2500-395x-2021-1-6-66-69
Subject(s) - pulmonata , gastropoda , range (aeronautics) , biology , zoology , materials science , composite material
The study presents a model of the potential distribution of the land snail Cochlodina laminata (Clausiliidae), created using the SDM (species distribution modeling) methods. The forecast was made on the basis C. laminata records from GBIF repository. This species has the wide distribution in of this and wide ecological valence in comparison with the most of the european clausilids. Climatic parameters and altitude from the open database WorldClim.org were selected as predictors. For the forecast, the models with the best statistical indicators were selected, and the ensemble forecast procedure was carried out to optimize the results. The result of the ensemble forecast showed that the most suitable for habitat of C. laminata was the territory of Western and Southern Europe. Obviously, the influence of the GBIF records on the result obtained. In addition to the main territory, the potential range also included a number of the British Isles and part of the Jutland Peninsula. To the east of the main part of the potential range, the southern and eastern Black Sea regions were found in the zone with a high suitability for the species. In addition to the main territory of the potential range, which is located in Europe, local areas have been identified in the territory of North and South America, as well as Australia and New Zealand. The points with a high probability of finding the species on other continents are confined to the sea coasts and are extremely few in number. The forecast results are determined not only by the optimal combination of the values of climatic predictors, but also by spatial reference of the initial data. Thus, due to the absence of finds from Eastern Europe in the initial data, the territory of Eastern Europe did not fall into a potentially suitable zone. Thus, the forecast results are determined not only by the optimal combination of the climatic predictors, but also by the initial data. In particular, due to the absence of records on the territory of Eastern Europe in the initial data, this territory was not included in a potentially suitable zone.