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.
Antalya Wild Goat MaxEnt Hunting Tourism Habitat Suitability Modelling and Mapping Random Forest Wild Goat
Birincil Dil | İngilizce |
---|---|
Konular | Orman Endüstri Mühendisliği |
Bölüm | Araştırma Makaleleri |
Yazarlar | |
Yayımlanma Tarihi | 30 Mart 2019 |
Kabul Tarihi | 26 Mart 2019 |
Yayımlandığı Sayı | Yıl 2019 Cilt: 3 Sayı: 1 |