Global Geographical Distribution modeling of Apis florea F. (Hymenoptera; Apidae)
عنوان دوره: دومین کنگره بین المللی حشره شناسی ایران
نویسندگان
چکیده
The dwarf honey bee, Apis florea, is one of the two species of small, wild honey bees from south and southeastern Asia. Considering the importance of the species as an important pollinator, the current study was carried out to model its spatial distribution and with an emphasis on the effect of environmental variables. For this purpose, 75 occurrence records of the species from Iran, besides 933 records of its occurrence around the world were included in modeling analysis. Potential distribution map was created using Maxent model based on the presence data and eight bioclimatic variables including Mean Diurnal Range , Temperature Seasonality, Mean Temperature of Wettest Quarter, Mean Temperature of Warmest Quarter, Precipitation of Wettest Month, Precipitation of Driest Month, Precipitation Seasonality and Precipitation of Coldest Quarter. Additionally, the impact of the climate change on future distribution pattern of Apis florea for 2050 and 2070 was also investigated. For evaluating the model the jackknife test and the Area Under Curve (AUC) index were used. According to the Jackknife test, the variables Mean Temperature of Warmest Quarter, Precipitation Seasonality, Temperature Seasonality were the most important climatic variables affecting Apis florea distribution model.
Based on the Jackknife test, a positive correlation was found between the presence probability of species and Mean Temperature of Warmest Quarter. The best temperature for the species was found to be 25-38° C. Presence probability of species was higher where the average Temperature Seasonality was between 1 to 9° C. Also, in the regions where the Precipitation Seasonality was 5-12 mm the presence probability is high. The obtained AUC value from Maxent model found to be 0.979 representing an excellent predicting of the species distribution model.
Based on the Jackknife test, a positive correlation was found between the presence probability of species and Mean Temperature of Warmest Quarter. The best temperature for the species was found to be 25-38° C. Presence probability of species was higher where the average Temperature Seasonality was between 1 to 9° C. Also, in the regions where the Precipitation Seasonality was 5-12 mm the presence probability is high. The obtained AUC value from Maxent model found to be 0.979 representing an excellent predicting of the species distribution model.
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