Literature DB >> 33300726

[Potential geographical distribution and changes of Artemisia ordosica in China under future climate change].

Ke Lu1, Yi-Ming He1, Wei Mao2, Zhong-Yu DU1,3, Li-Jun Wang2, Guo-Min Liu2, Wen-Jia Feng1, Yi-Zhong Duan1.   

Abstract

Artemisia ordosica is a forerunner species of wind-break and sand-fixation in desert steppe in China, which plays an important role in ecosystem restoration and reconstruction. How-ever, it could influence human health. Based on 89 valid data of current distribution of A. ordosica in China and 19 typical climatic factors, the MaxEnt model was used to simulate the potential distribution of A. ordosica in China under current and two scenarios (RCP 4.5 and RCP 8.5; 2050s and 2070s). The SDM toolbox of ArcGIS software was used to analyze the potential distribution range of A. ordosica and its changes in China. The importance of key climatic factors was evaluated by comprehensive contribution rate, Jackknife method, and response curve of environmental variables. The accuracy of model was tested and evaluated by area under the curve (AUC) of the test subject working characteristic (ROC). The results showed that the MaxEnt model worked well (AUC=0.980). which predicted that A. ordosica was mainly concentrated in and around Mu Us Sandy Land, consistent with the current actual distribution range. The distribution area of A. ordosica of potential high fitness under the future two scenarios decreased by 5.2%-26.8%, which was negatively affected by future climate change. Seasonal variation of temperature, mean precipitation in the coldest season, and mean annual temperature had the greatest impact. The core area of future potential distribution of A. ordosica in China was located in Mu Us Sandy Land, with a tendency for spreading to northeast (Jilin, Heilongjiang, Liaoning and some parts of Hebei).

Entities:  

Keywords:  Artemisia ordosica; MaxEnt model; allergic rhinitis; climate change; migration route; suitable area

Mesh:

Year:  2020        PMID: 33300726     DOI: 10.13287/j.1001-9332.202011.017

Source DB:  PubMed          Journal:  Ying Yong Sheng Tai Xue Bao        ISSN: 1001-9332


  2 in total

1.  Environmental and sensitization variations among asthma and/or rhinitis patients between 2008 and 2018 in China.

Authors:  Wanjun Wang; Jianhong Wang; Guihua Song; Hua Xie; Xiaoping Lin; Ruonan Chai; Rongfei Zhu; Yong He; Jun Tang; Junge Wang; Jinghua Yang; Lili Zhi; Lin Wu; Yan Jiang; Xiaoqin Zhou; Dongming Huang; Ning Wang; Rui Xu; Yuan Gao; Zhimin Chen; Jinling Liu; Xiaoli Han; Guolin Tan; Jinzhun Wu; Deyu Zhao; Jianjun Chen; Xiwei Zhang; Mengrong Li; Yuemei Sun; Yi Jiang; Weitian Zhang; Qianhui Qiu; Chuanhe Liu; Jie Yin; Guodong Hao; Huabin Li; Yongsheng Xu; Shaohua Chen; Hua Zhang; Shi Chen; Juan Meng; Dan Zeng; Wei Tang; Chuangli Hao; Jing Li; Nanshan Zhong
Journal:  Clin Transl Allergy       Date:  2022-02-02       Impact factor: 5.657

2.  Maximum Entropy Modeling the Distribution Area of Morchella Dill. ex Pers. Species in China under Changing Climate.

Authors:  Yu-Ting Cao; Zhao-Ping Lu; Xin-Yu Gao; Mi-Li Liu; Wei Sa; Jian Liang; Le Wang; Wei Yin; Qian-Han Shang; Zhong-Hu Li
Journal:  Biology (Basel)       Date:  2022-07-08
  2 in total

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