Šumarski list, Vol. 146 No. 7-8, 2022.
Izvorni znanstveni članak
https://doi.org/10.31298/sl.146.7-8.6
Maximum Entropy Niche-Based Predicting of Potential Habitat for the Anatolian Leopard (Panthera pardus tulliana Valenciennes, 1856) in Türkiye
Alptuğ Sarı
; Karadeniz Teknikal University, Trabzon, Türkiye
Sažetak
The Anatolian leopard (Panthera pardus tulliana Valenciennes, 1856) is the largest surviving cat species in Türkiye. Despite the adversity they face, leopards still exist in Türkiye. In this study, using the maximum entropy model (MaxEnt), potentially suitable habitats for the Anatolian leopard in Türkiye was surveyed. When evaluating leopard habitat preference, the fact that the species can easily adapt to its habitat and live anywhere with sufficient vegetation and sufficient prey animals was taken into account; only data on climate which affects the geographic distribution patterns and population structures of flora and fauna were examined before. When the climatic variables affecting leopard’ distribution were examined, the following had the highest values: isothermally, seasonal temperature, average temperature of the coldest season, minimum temperature of the coldest month, and annual precipitation. Except for the Central Anatolia Region and coastal areas, almost every region in Türkiye contains habitats suitable for the leopard. There are scarce data on leopards’ populations and habitats in Türkiye. Therefore, even though ecological niche modelling (ENM) may generate important results when determining potentially suitable habitats, it is clear that this model cannot yield accurate results without considering the areas that the species is known to inhabit but in which no studies were previously conducted. The results that were obtained in the present study can also provide background information related to the long-term conservation of this species.
Ključne riječi
Bioclimatic data; Conservation; Habitat suitability; Leopard; MaxEnt; Türkiye
Hrčak ID:
281747
URI
Datum izdavanja:
31.8.2022.
Posjeta: 1.571 *