A Simulation Study of the Geographical Distribution of Actinidia arguta in China
Rulin Wang 1, 2, 3  
,   Chunxian Jiang 1  
,   Tingting Huang 1  
,   Zhe Zhang 1  
,   Mingtiang Wang 3, 4  
,   Zhanhong Shen 2  
,   Yanli Wang 2  
,   Qing Li 1  
More details
Hide details
College of Agronomy, Sichuan Agricultural University, Wenjiang District, Chengdu, Sichuan, 611130, China
Sichuan Provincial Rural Economic Information Center, Qingyang District, Chengdu, Sichuan, 610072, China
Water-Saving Agriculture in Southern Hill Area Key Laboratory of Sichuan Province, Jinjiang District, Chengdu, Sichuan, 610066, China
Sichuan Meteorological Observatory, Qingyang District, Chengdu, Sichuan, 610072, China
Qing Li   

College of Agronomy, Sichuan Agricultural University, China
Submission date: 2019-02-18
Final revision date: 2019-05-10
Acceptance date: 2019-05-12
Online publication date: 2019-11-06
Publication date: 2020-02-13
Pol. J. Environ. Stud. 2020;29(2):1889–1898
The aim of this study was to conduct an ecological regionalization and suitability evaluation of Actinidia arguta in China. The methods of maximum entropy have been deployed for some years to address the problem of species abundance distributions. In this approach, the ecological niche modeling software MaxEnt (the maximum entropy model), combined with ArcGIS (geographic information system), was applied to predict the potential geographic distribution of A. arguta in China. Bioclimatic dominant factors and the appropriate ranges of their values were also investigated. Our results showed that training data AUC (Area area under the ROC curve) of the 10 replicates was 0.992, which indicated a better forecast. The highly suitable area of A. arguta in China can be divided into three parts: the southwest, northeast, central and eastern regions. The moderately suitable areas are distributed around the most suitable areas, and the total area is 178.59×104 km2, with a wider distribution than that of the most suitable areas. The important environmental factors affecting the distribution of A. arguta were Precipitation precipitation in July, temperature seasonality, altitude, mean temperature in April, and precipitation of the warmest quarter. The above results provide valuable references for wildlife tending, plantation regionalization, and standard cultivation of A. arguta.