Abstract

In this study, six commonly used ecological niche models including genetic algorithm for rule-set production, support vector machine, maximum entropy and ecological niche factor analysis, DOMAIN and Bioclim were evaluated for predict potential suitable areas for flue-cured tobacco with medium aroma type. The ecological factors, such as topography and climate parameters, were collected from representative sites growing flue-cured tobacco with medium aroma type. Average receiver operating characteristic curve and area under the curve are calculated to assess the prediction accuracy of these models. The comparative results showed that maximum entropy model outperformed others. The potential distribution areas for producing flue-cured tobacco with medium aroma type are identified by the best performed model.

Keywords:

Ecological niche model, habitat suitability, medium aroma type of flue-cured tobacco, model stability,

References

1. Carpenter, G., A.N. Gillison and J. Winter, 1993. DOMAIN: A flexible modelling procedure for mapping potential distributions of plants and animals. Biodivers. Conserv., 2(6): 667-680.
   CrossRef    
2. Ding, R.K., C.H. Wang and Z.Q. Zhu, 1958. Cigarette Technology. Food Industry Press, Beijing.
   
3. Drake, J.M., C. Randin and A. Guisan, 2006. Modelling ecological niches with support vector machines. J. Appl. Ecol., 43: 424-432.
   CrossRef    
4. Jones, P.G., W. Diaz and J.H. Cock, 2005. Homologue: A Computer System for Identifying Similar Environments throughout the Tropical World. Version Beta a.0. Centro Internacional de Agricultura Tropical (CIAT), Cali, Colombia.
   
5. Liu, J.H., X.Z. Xiong, L.Y. Yang, Z.P. Xiong and Y.Z. Pan, 2010. Analysis on suitable distribution area of oriental fruit fly (Bactrocera dorsalis) based on GARP ecological niche model. Plant Dis. Pests, 1(6): 34-38.
   
6. Liu, T.N., 2004. Tobacco Economy and Tobacco Control. Economic Science Press, Beijing.
   
7. Mireia, V., B. Angel, C. Guillem, G. Ibon and M.G. Joxe, 2011. Modelling suitable estuarine habitats for Zostera noltii, using ecological niche factor analysis and bathymetric lidar. Estuar. Coast. Shelf S., 94: 144-154.
   CrossRef    
8. Phillips, S.J. and M. Dudik, 2008. Modeling of species distributions with Maxent: New extensions and a comprehensive evaluation. Ecography, 31(2): 161-175.
   CrossRef    
9. Shao, H., J.Q. Tian, K. Guo and J.X. Sun, 2009. Effects of sample size and species traits on performance of BIOCLIM in predicting geographical distribution of tree species-a case study with 12 deciduous Quercus species indigenous to China. Chinese J. Plant Ecol., 33(5): 870-877.
   
10. Sun, W.T. and Y.T. Liu, 2010. Research progress of risk analysis of biological invasion. Chinese Agric. Sci. Bull., 26(7): 233-236.
    
11. Wang, Y.S., 2007. Application of niche models in the risk assessment of invasive alien species. Ph.D. Thesis, Hunan Agricultural University, Changsha.
    
12. Wang, Y.S., B.Y. Xie, F.H. Wan et al., 2007. Application of ROC curve analysis in evaluating the performance of alien species’ potential distribution models. Biodivers. Sci., 15(4): 365-372.
    CrossRef    
13. Wu, J.G. and J.J. Lv, 2009. Potential effects of climate change on the distributions of Yunnan snub-nosed monkey (Pygathrix Bieti) in China. J. Meteorol. Environ., 25(6): 1-10.
    
14. Wu, W., X.P. Tang, C. Yang, H.B. Liu and N.J. Guo, 2013a. Investigation of ecological factors controlling quality of flue-cured tobacco (Nicotiana tabacum L.) using classification methods. Ecol. Inform., 16: 53-61.
    CrossRef    
15. Wu, W., X.P. Tang, C. Yang, H.B. Liu and N.J. Guo, 2013b. Spatial estimation of monthly mean daily sunshine hours and solar radiation across mainland China. Renew. Energ., 57: 546-553.
    CrossRef    
16. Yang, C., W. Wu, S.C. Wu, H.B. Liu and Q. Peng, 2014. Aroma types of flue-cured tobacco in China: Spatial distribution and association with climatic factors. Theor. Appl. Climatol., 115(3): 541-549.
    CrossRef    

Competing interests

The authors have no competing interests.

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