Modeling current geographic distribution and future range shifts of Sanghuangporus under multiple climate change scenarios in China

被引:4
|
作者
Chen, Jia-He [1 ,2 ]
Shen, Shan [1 ,3 ]
Zhou, Li-Wei [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Microbiol, State Key Lab Mycol, Beijing, Peoples R China
[2] Liaoning Univ, Coll Life Sci, Shenyang, Peoples R China
[3] Univ Chinese Acad Sci, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
conservation; fruitbodies; maximum entropy modeling; medicinal resources; wood-inhabiting macrofungi; SPECIES DISTRIBUTION MODELS; BASIDIOMYCOTA; PREDICTION; FUNGI;
D O I
10.3389/fmicb.2022.1064451
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The genus Sanghuangporus is well-known for its edible and medicinal values. In this study, the most comprehensive occurrence records of Sanghuangporus with accurate species identification are subjected to MaxEnt, to model the current geographic distribution and future range shifts under multiple climate change scenarios in China. The current potential distribution model of Sanghuangporus is excellently predicted as indicated by the value of Area Under Receiver Operator Characteristic Curve. The current potential distribution basically corresponds to the known occurrence records of Sanghuangporus, and provides clues to new suitable habitats. The critical environmental variables to the distribution are annual precipitation, host plant, annual mean temperature and elevation. Host plant is not the most critical contribution to the model, but it indeed plays a decisive role in restricting the distribution of Sanghuangporus. This role is further confirmed by the distribution area of the highly suitable habitat increasing by 155.468%, when excluding host plant from environmental variables. For future scenarios, generally the area of highly suitable habitat for Sanghuangporus extremely increases, but the locations do not change a lot. In conclusion, this study provides important ecological information for the utilization and conservation of the edible and medicinal fungus Sanghuangporus.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] MaxEnt modeling to predict the current and future distribution of Clerodendrum infortunatum L. under climate change scenarios in Dehradun district, India
    Purohit, Saurabh
    Rawat, Neelam
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2022, 8 (02) : 2051 - 2063
  • [42] Towards an understanding of future range shifts in lichens and mosses under climate change
    Mallen-Cooper, Max
    Rodriguez-Caballero, Emilio
    Eldridge, David J.
    Weber, Bettina
    Buedel, Burkhard
    Hoehne, Hermann
    Cornwell, Will K.
    JOURNAL OF BIOGEOGRAPHY, 2023, 50 (02) : 406 - 417
  • [43] MaxEnt modeling to predict the current and future distribution of Clerodendrum infortunatum L. under climate change scenarios in Dehradun district, India
    Saurabh Purohit
    Neelam Rawat
    Modeling Earth Systems and Environment, 2022, 8 : 2051 - 2063
  • [44] Modeling the Potential Distribution of Three Taxa of Akebia Decne. under Climate Change Scenarios in China
    Wang, Xiuting
    Zhang, Wenwen
    Zhao, Xin
    Zhu, Huiqin
    Ma, Limiao
    Qian, Zengqiang
    Zhang, Zheng
    FORESTS, 2021, 12 (12):
  • [45] Canids in a changing climate: predicting range shifts and evolutionary rescue under distinct future scenarios
    Porto, Lucas M., V
    Bennett, David
    Maestri, Renan
    Etienne, Rampal S.
    BIOLOGICAL JOURNAL OF THE LINNEAN SOCIETY, 2024, 143 (02)
  • [46] Spatial forecasting of switchgrass productivity under current and future climate change scenarios
    Behrman, Kathrine D.
    Kiniry, James R.
    Winchell, Michael
    Juenger, Thomas E.
    Keitt, Timothy H.
    ECOLOGICAL APPLICATIONS, 2013, 23 (01) : 73 - 85
  • [47] Current and future distribution of Forsythia suspensa in China under climate change adopting the MaxEnt model
    Wang, En
    Lu, Zongran
    Rohani, Emelda Rosseleena
    Ou, Jinmei
    Tong, Xiaohui
    Han, Rongchun
    FRONTIERS IN PLANT SCIENCE, 2024, 15
  • [48] Potential distribution of pine wilt disease under future climate change scenarios
    Hirata, Akiko
    Nakamura, Katsunori
    Nakao, Katsuhiro
    Kominami, Yuji
    Tanaka, Nobuyuki
    Ohashi, Haruka
    Takano, Kohei Takenaka
    Takeuchi, Wataru
    Matsui, Tetsuya
    PLOS ONE, 2017, 12 (08):
  • [49] Potential distribution of selected invasive alien plants under current and future climate change scenarios in South Africa
    Mengistu, Achamyeleh G.
    Tesfuhuney, Weldemichael A.
    Woyessa, Yali E.
    Steyn, Abraham S.
    HELIYON, 2023, 9 (09)
  • [50] Current and Future Potential Distribution of the Xerophytic Shrub Candelilla (Euphorbia antisyphilitica) under Two Climate Change Scenarios
    Vargas-Piedra, Gonzalo
    Valdez-Cepeda, Ricardo David
    Lopez-Santos, Armando
    Flores-Hernandez, Arnoldo
    Hernandez-Quiroz, Nathalie S.
    Martinez-Salvador, Martin
    FORESTS, 2020, 11 (05):