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Article

Nest Survival and Transplantation Success of Formica rufa (Hymenoptera: Formicidae) Ants in Southern Turkey: A Predictive Approach

1
Western Mediterranean Forestry Research Institute, Antalya Regional Directorate of Forestry Campus, Muratpaşa, 07010 Antalya, Turkey
2
Department of Actuarial Sciences, Hacettepe University Faculty of Science, Beytepe, 06800 Ankara, Turkey
3
Manavgat Vocational School Organic Agriculture Program, Akdeniz University, Manavgat, 07600 Antalya, Turkey
4
Ahi Evran University Faculty of Agriculture, Bağbaşı, 40100 Kırşehir, Turkey
*
Author to whom correspondence should be addressed.
Forests 2020, 11(5), 533; https://doi.org/10.3390/f11050533
Received: 6 April 2020 / Revised: 3 May 2020 / Accepted: 7 May 2020 / Published: 10 May 2020
(This article belongs to the Special Issue Biological and Bio-Based Management of Forest Pests and Pathogens)
Research highlights: Formica rufa is used widely for biocontrol in Turkish forests. Although ecological characteristics of red wood ant habitats are well known, the statistical significance of these characteristics and their effects on nest transplantation success are largely unknown. Having such knowledge on a local scale, however, can help to predict the success of a scheduled transplantation effort, and can prevent loss of time and money. Background and objectives: In the present study, we used nest transplantation data from southern Turkey to determine habitat parameters that have a significant impact on nest survival, and to investigate possibility of predicting transplantation success from habitat parameter data. Materials and methods: Algorithms of data mining are widely used in agricultural and forestry applications for a wide range of tasks. In the present study, we used descriptive statistics to summarize the transplantation profile according to six habitat parameters (altitude, aspect, canopy closure, landform, nest substrate, and slope). We also used classification, a data mining approach, with two of its methods (decision tree and naïve Bayes) to determine the most important habitat parameters for nest survival and predict nest transplantation success in southern Turkey. Results: We found that altitude, aspect, and canopy closure were the most important factors affecting transplantation success. We also show that classification methods can be used in not only classifying, but also predicting the success rate of future transplantations. Thus, we show that the possibility of success for a given area can be predicted when certain parameters are known. Conclusions: This method can assist biological control practitioners in planning biocontrol programs and selecting favorable spots for red wood ant nest transplantation. View Full-Text
Keywords: biological control; red wood ant; mound transfer; data mining; Decision Trees; Naïve Bayes biological control; red wood ant; mound transfer; data mining; Decision Trees; Naïve Bayes
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MDPI and ACS Style

Serttaş, A.; Bakar, Ö.; Alkan, U.M.; Yılmaz, A.; Yolcu, H.İ.; İpekdal, K. Nest Survival and Transplantation Success of Formica rufa (Hymenoptera: Formicidae) Ants in Southern Turkey: A Predictive Approach. Forests 2020, 11, 533. https://doi.org/10.3390/f11050533

AMA Style

Serttaş A, Bakar Ö, Alkan UM, Yılmaz A, Yolcu Hİ, İpekdal K. Nest Survival and Transplantation Success of Formica rufa (Hymenoptera: Formicidae) Ants in Southern Turkey: A Predictive Approach. Forests. 2020; 11(5):533. https://doi.org/10.3390/f11050533

Chicago/Turabian Style

Serttaş, Ayhan, Özer Bakar, Uğur M. Alkan, Arif Yılmaz, Halil İ. Yolcu, and Kahraman İpekdal. 2020. "Nest Survival and Transplantation Success of Formica rufa (Hymenoptera: Formicidae) Ants in Southern Turkey: A Predictive Approach" Forests 11, no. 5: 533. https://doi.org/10.3390/f11050533

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