Abstract

The wild goat (Capra aegagrus) has a very widespread area in our Turkey and is an important species in terms of hunting tourism. Every year, inventory studies are regularly carried out in all areas where these species have distributed in Turkey. Native and foreign hunters are allowed to hunting these species by giving certain quota determined for each year and thus economic income is provided to the country. Generally, in hunting tourism, male individuals older than the age of 8 years are important. In this study, presence data matrix was prepared by determining the areas where the individuals aged 8 years and above have been located according to the counts made after hunting in Antalya region in 2016. Slope, elevation, aspect, topographic position index and ruggedness variables that are selected considering of the biology of wild goat were use for modelling. These variables were cut in local scale by using ArcGIS 10.2 software and each was prepared as a layer in ascii format. The modelling process was carried out using MaxEnt method that run via maximum entropy approach and use only presence data, and Random Forest method that run via both presence and absence data. The Roc value for MaxEnt was 0.852 and the Roc value for Random Forest method was 0.927. These results show that the models obtained by both methods are valid. The maps obtained by both models were intersected to determine the most suitable areas for wild goats. The hunting tourism map of the wild goat was obtained by using 0.6 reference value for suitable areas on the map that was acquired using intersect. And the map show that current and potential hunting areas were determined. As a result, this map is very important in terms of being a guide for hunting tourism in study area and being the first hunting tourism map of wild goats.

Highlights

  • Wild goat (Capra aegagrus) is one of very important components of biological diversity, among the 9 species of genera Capra

  • Models were developed for wild goat in Antalya province with Maximum Entropy (MaxEnt) and Random Forest methods

  • It was observed that topographic position index, aspect, ruggedness and elevation that were the variables used for the maps created with both methods in our study (MaxEnt and Random Forest) had a direct impact on the distribution of wild goat

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Summary

Introduction

Wild goat (Capra aegagrus) is one of very important components of biological diversity, among the 9 species of genera Capra. It is one of the most important game animals in Turkey (Gündoğdu, 2006, Uçarlı, 2016). Located in the south of Turkey, Antalya is an important area where the highest number of Wild goat populations in Anatolia are distributed (Gündoğdu and Oğurlu, 2009; Gündoğdu, 2006; Gönenç et al, 2018). Factors such as illegal hunting, habitat losses, enlargement of settlement areas have negative impacts on wild goat populations (Ünal et al, 2016)

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