@article{article_1384960, title={Prediction of potential geographic distribution of Capparis spinosa}, journal={Biological Diversity and Conservation}, volume={17}, pages={206–215}, year={2024}, DOI={10.46309/biodicon.2024.1384960}, author={Çıvğa, Alican and Özdemir, Serkan and Gülsoy, Serkan}, keywords={Caper, habitat suitability, MaxEnt, species distribution modeling}, abstract={Capparis spinosa is a medicinal plant with economic (e.g., food, animal breeding, medicine) and ecological (e.g., erosion control, fighting wildfires) importance that is distributed in the western and southern coastal regions of Turkey. The MaxEnt model was used to simulate potential distribution areas of C. spinosa with the effect of environmental conditions. The results showed that the potential suitable area of C. spinosa is 6109 hectares, mainly distributed below 1000 meters in Babadağ Region. It was determined that the variables contributing to the model were bedrock, elevation, topographic position index and hillshade index, respectively. The acquired model presented excellent performance according to its AUC values (Training AUC: 0.909 and test AUC: 0.906). It is thought that the results revealed in the study will provide an insight for future investigations to be carried out for the species.}, number={3}, publisher={Ersin YÜCEL}