Predicting Potential Habitat of Aconitum carmichaeli Debeaux in China Based on Three Species Distribution Models

被引:1
|
作者
Li, Ting [1 ]
Yang, Yuxia [2 ]
Wang, Yihe [1 ]
Xu, Shiliang [1 ]
Fan, Xuchen [1 ]
Xia, Yanli [1 ]
Wang, Rulin [3 ,4 ]
机构
[1] Chengdu Univ, Sch Food & Bioengn, 2025 Chengluo Ave, Chengdu 610106, Peoples R China
[2] Sichuan Acad Tradit Chinese Med Sci, Sichuan Prov Key Lab Qual & Innovat Res Chinese Ma, Chengdu 610041, Peoples R China
[3] Sichuan Prov Rural Econ Informat Ctr, Chengdu 610072, Sichuan, Peoples R China
[4] Water Saving Agr Southern Hill Area Key Lab Sichua, Chengdu 610066, Sichuan, Peoples R China
来源
关键词
Aconitum carmichaeli Debeaux; MaxEnt; GARP; Bioclim; suitable habitat; PLANT; RADIX; GARP; RARE;
D O I
10.15244/pjoes/156358
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Aconitum carmichaelii Debeaux is a perennial herb and medicinal plant, which has the effects of warming Yang and dispelling cold, warming meridians and relieving pain, dispelling wind and dehumidification, supplementing fire and helping Yang. In recent years, affected by the destruction of shrubs and climate warming, the habitat of A. carmichaeli wild resources has been seriously damaged, indicating of great significance to the artificial protection and cultivation of A. carmichaeli to predict its potential suitable habitat using species distribution models (SDMs). In this paper, 14 environmental variables and 449 specimen distribution records were applied to three models, i.e. MaxEnt, GARP and Bioclim to simulate the distribution of A. carmichaeli. Our results showed that, the AUC average values of the three models were all above 0.85 and the Kappa average values were above 0.75, justifying their applications for predicting the potential areas of A. carmichaeli. Furthermore, simulation of MaxEnt showed that, the highly suitable habitats were concentrated in the middle east of Sichuan (17.07x104km2), western Hubei (7.34x104 km2), southern Shaanxi (7.2x104 km2), north central Guizhou (6.74x104 km2), eastern Chongqing (5.62x104 km2) and western Hunan (5.21x104 km2) and scattered in the middle of Zhejiang (3.07x104 km2), the southwest Anhui (1.87x104 km2) and western Henan (1.43x104 km2). Jackknife test and response curves determined that the key variables affecting the distribution of A. carmichaeli were annual precipitation (751.25-1580.72 mm), precipitation of warmest quarter (422.71-717.21 mm), min temperature of coldest month (-6.85-3.12 & DEG;C), temperature annual range (24.83-31.97 & DEG;C), elevation (145.87-2769.22 m) and human footprint (<4.01).
引用
收藏
页码:1219 / 1230
页数:12
相关论文
共 50 条
  • [1] Structural feature-based strategy for the identification of diterpene alkaloids in Aconitum carmichaeli Debeaux
    Liu, Zejun
    Li, Xiaoli
    Luo, Qi
    Pan, Hong
    Shi, Fuguo
    FITOTERAPIA, 2024, 172
  • [2] Predicting the potential habitat for Ornithodoros tick species in China
    Wu, Baizheng
    Li, Xin
    Liu, Jingze
    Bao, Rong
    VETERINARY PARASITOLOGY, 2022, 311
  • [3] Predicting species distribution: offering more than simple habitat models
    Guisan, A
    Thuiller, W
    ECOLOGY LETTERS, 2005, 8 (09) : 993 - 1009
  • [4] Predicting the Potential Habitat Distribution of Relict Plant Davidia involucrata in China Based on the MaxEnt Model
    Wang, Tianxiang
    Li, Wenting
    Cui, Hongxia
    Song, Yunrui
    Liu, Changyong
    Yan, Qing
    Wu, Yaoxing
    Jia, Yihang
    Fang, Lizheng
    Qi, Lianghua
    FORESTS, 2024, 15 (02)
  • [5] Predicting potential habitat distribution of the invasive species Rhynchophorus ferrugineus Olivier in China based on MaxEnt modelling technique and future climate change
    Wang, Zhiling
    Zhuo, Zhihang
    Ali, Habib
    Mureed, Sumbul
    Liu, Quanwei
    Yang, Xuebin
    Xu, Danping
    BULLETIN OF ENTOMOLOGICAL RESEARCH, 2024, 114 (04) : 524 - 533
  • [6] Predicting Ambystoma ordinarium Habitat in Central Mexico Using Species Distribution Models
    Escalera-Vazquez, Luis H.
    Hernandez-Guzman, Rafael
    Soto-Rojas, Carlos
    Suazo-Ortuno, Ireri
    HERPETOLOGICA, 2018, 74 (02) : 117 - 126
  • [7] Predicting Habitat Suitability of Coptotermes gestroi (Isoptera: Rhinotermitidae) With Species Distribution Models
    Li, Hou-Feng
    Fujisaki, Ikuko
    Su, Nan-Yao
    JOURNAL OF ECONOMIC ENTOMOLOGY, 2013, 106 (01) : 311 - 321
  • [8] Predicting species occurrences with habitat network models
    Ortiz-Rodriguez, Damian O.
    Guisan, Antoine
    Holderegger, Rolf
    van Strien, Maarten J.
    ECOLOGY AND EVOLUTION, 2019, 9 (18): : 10457 - 10471
  • [9] Predicting migration routes for three species of migratory bats using species distribution models
    Wieringa, Jamin G.
    Carstens, Bryan C.
    Gibbs, H. Lisle
    PEERJ, 2021, 9 (09):
  • [10] A didactic approach to models of habitat suitability (HS) and the potential distribution of biological species
    Carrasco-Hernandez, R.
    JOURNAL OF BIOLOGICAL EDUCATION, 2020, 54 (04) : 433 - 442