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Prediction of Potentially Suitable Distributions of Codonopsis pilosula in China Based on an Optimized MaxEnt Model

文献类型：期刊论文

作者Yan, Huyong1,2; He, Jiao3; Xu, Xiaochuan4; Yao, Xinyu4; Wang, Guoyin5; Tang, Lianggui1,2; Feng, Lei6,7; Zou, Limin8; Gu, Xiaolong9,10; Qu, Yingfei1,2
刊名FRONTIERS IN ECOLOGY AND EVOLUTION
出版日期2021-11-22
卷号9页码:17
关键词optimized MaxEnt Codonopsis pilosula regularization multiplier feature combination potential distribution multivariate environmental similarity surface analysis
ISSN号2296-701X
DOI10.3389/fevo.2021.773396
通讯作者He, Jiao(hj2897@163.com)
英文摘要Species distribution models are widely used in conservation biology and invasive biology. MaxEnt models are the most widely used models among the existing modeling tools. In the MaxEnt modeling process, the default parameters are used most often to build the model. However, these models tend to be overfit. Aiming at this problem, this study uses an optimized MaxEnt model to analyze the impact of past, present and future climate on the distributions of Codonopsis pilosula, an economic species, to provide a theoretical basis for its introduction and cultivation. Based on 264 distribution records and eight environmental variables, the potential distribution areas of C. pilosula in the last interglacial, middle Holocene and current periods and 2050 and 2070 were simulated. Combined with the percentage contribution, permutation importance, and jackknife test, the environmental factors affecting the suitable distribution area of this species were discussed. The results show that the parameters of the optimal model are: the regularization multiplier is 1.5, and the feature combination is LQHP (linear, quadratic, hinge, product). The main temperature factors affecting the distribution of C. pilosula are the annual mean temperature, mean diurnal range, and isothermality. The main precipitation factors are the precipitation seasonality, precipitation in the wettest quarter, and precipitation in the driest quarter, among which the annual average temperature contributes the most to the distribution area of this species. With climate warming, the suitable area of C. pilosula exhibits a northward expansion trend. It is estimated that in 2070, the suitable area of this species will expand to its maximum, reaching 2.5108 million square kilometers. The highly suitable areas of C. pilosula are mainly in Sichuan, Gansu, Shaanxi, Shanxi, and Henan Provinces. Our findings can be used to provide theoretical support related to avoiding the blind introduction of C. pilosula.
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000731693700001
出版者FRONTIERS MEDIA SA
源URL[http://119.78.100.138/handle/2HOD01W0/14761]  
专题中国科学院重庆绿色智能技术研究院
通讯作者He, Jiao
作者单位1.Chongqing Technol & Business Univ, Chongqing Engn Lab Detect Control & Integrated Sy, Chongqing, Peoples R China
2.Chongqing Technol & Business Univ, Sch Comp Sci & Informat Engn, Chongqing, Peoples R China
3.Sichuan Int Studies Univ, Sch Int Business & Management, Chongqing, Peoples R China
4.State Grid Chongqing Elect Power Co, Chongqing, Peoples R China
5.Chongqing Univ Posts & Telecommun, Coll Comp Sci & Technol, Chongqing Key Lab Computat Intelligence, Chongqing, Peoples R China
6.Chinese Acad Sci, Online Monitoring Ctr Ecol & Environm Three Gorge, Chongqing Inst Green & Intelligent Technol, Chongqing, Peoples R China
7.Chongqing Univ, Coll Environm & Ecol, Chongqing, Peoples R China
8.Chongqing Technol & Business Univ, Sch Math & Stat, Chongqing, Peoples R China
9.Chongqing Univ Posts & Telecommun, Coll Comp Sci & Technol, Chongqing, Peoples R China
10.Chongqing Technol & Business Univ, Natl Res Base Intelligent Mfg Serv, Chongqing, Peoples R China
推荐引用方式
GB/T 7714		 Yan, Huyong,He, Jiao,Xu, Xiaochuan,et al. Prediction of Potentially Suitable Distributions of Codonopsis pilosula in China Based on an Optimized MaxEnt Model[J]. FRONTIERS IN ECOLOGY AND EVOLUTION,2021,9:17.
APA Yan, Huyong.,He, Jiao.,Xu, Xiaochuan.,Yao, Xinyu.,Wang, Guoyin.,...&Qu, Linfa.(2021).Prediction of Potentially Suitable Distributions of Codonopsis pilosula in China Based on an Optimized MaxEnt Model.FRONTIERS IN ECOLOGY AND EVOLUTION,9,17.
MLA Yan, Huyong,et al."Prediction of Potentially Suitable Distributions of Codonopsis pilosula in China Based on an Optimized MaxEnt Model".FRONTIERS IN ECOLOGY AND EVOLUTION 9(2021):17.

入库方式： OAI收割

来源：重庆绿色智能技术研究院

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