Prediction of the Potentially Suitable Areas of Actinidia latifolia in China Based on Climate Change Using the Optimized MaxEnt Model

被引:2
|
作者
Wang, Zhi [1 ]
Luo, Minmin [1 ,2 ]
Ye, Lixia [1 ]
Peng, Jue [1 ]
Luo, Xuan [1 ]
Gao, Lei [1 ]
Huang, Qiong [1 ]
Chen, Qinghong [1 ]
Zhang, Lei [1 ]
机构
[1] Hubei Acad Agr Sci, Inst Fruit & Tea, Hubei Key Lab Germplasm Innovat & Utilizat Fruit T, Wuhan 430064, Peoples R China
[2] Yangtze Univ, Coll Hort & Gardening, Jingzhou 434023, Peoples R China
基金
中国国家自然科学基金;
关键词
kiwifruit; maximum entropy method; climate change; environmental factors; suitable habitat; conservation biology; VITAMIN-C; CULTIVATION; SUITABILITY; SENSITIVITY; COMPLEXITY; WHEAT;
D O I
10.3390/su16145975
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Actinidia latifolia, with the highest vitamin C content in its genus, is a unique wild relative of kiwifruit that could be important for genetic breeding research. Climate change significantly influences the distribution range of wild plants. Accurately assessing the potential distribution of wild kiwifruit and its response to climate change is crucial for the effective protection and sustainable utilization of its germplasm resources. In this study, we utilized the optimized MaxEnt model to predict the potential habitats of A. latifolia in China, employing the jackknife test to assess the importance of environmental variables in our modeling process. The results showed that annual precipitation (Bio12) and temperature annual range (Bio7) emerged as the most influential environmental variables affecting the distribution of this kiwifruit wild relative. As radiative forcing and time increase, the potential habitats of A. latifolia in China are projected to shrink southward, thereby exacerbating habitat fragmentation. This research offers significant scientific references for the investigation, protection, cultivation, and application of wild relatives of the kiwifruit.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Prediction of the potential distribution area of Jacaranda mimosifolia in China under climate change using the MaxEnt model
    Li, Xiaomei
    Zhang, Guowu
    Xie, Chunping
    Qiu, Jianhuang
    Liu, Xuefeng
    FRONTIERS IN FORESTS AND GLOBAL CHANGE, 2024, 7
  • [32] Changes in Potentially Suitable Areas for Fruit Utilization of Acer truncatum in China under Climate Change
    Liu, Yitong
    Wang, Yuqing
    Guo, Hui
    Wu, Di
    Wu, Sha
    Xin, Xuebin
    Pei, Shunxiang
    FORESTS, 2024, 15 (04):
  • [33] Prediction of Platycodon grandiflorus distribution in China using MaxEnt model concerning current and future climate change
    Shan, Yuxin
    Lu, Zongran
    Yan, Lanmeng
    Rohani, Emelda Rosseleena
    Du, Fangping
    Fan, Zhiwei
    Han, Rongchun
    Tong, Xiaohui
    NORDIC JOURNAL OF BOTANY, 2024, 2024 (11)
  • [34] Predicting the climate change and suitable areas of Digitaria insularis based on CMIP6 projections by MaxEnt
    de Barros, Emerson Cristi
    da Paixao, Gefferson Pereira
    do Sacramento, Jose Augusto Amorim Silva
    Taube, Paulo Sergio
    Santos, Elaine da Silva
    NEW ZEALAND JOURNAL OF AGRICULTURAL RESEARCH, 2024,
  • [35] Identifying potentially contaminated areas with MaxEnt model for petrochemical industry in China
    Meng Wang
    Huichao Chen
    Mei Lei
    Environmental Science and Pollution Research, 2022, 29 : 54421 - 54431
  • [36] Identifying potentially contaminated areas with MaxEnt model for petrochemical industry in China
    Wang, Meng
    Chen, Huichao
    Lei, Mei
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (36) : 54421 - 54431
  • [37] Predicting the Potential Distribution of the Endangered Pyrethrum tatsienense in China Using an Optimized Maxent Model Under Climate Change Scenarios
    Zhu, Duo Ping
    Yang, Liu
    Li, Yong-hua
    Huang, Pei
    Yao, Bin
    Kong, Zhe
    Xiang, Yangzhou
    ECOLOGY AND EVOLUTION, 2024, 14 (11):
  • [38] Potential Suitable Areas of Crataegus pinnatifida in China based on MaxEnt Modeling
    Wang D.
    Zhao W.
    Cheng B.
    Zhang J.
    Linye Kexue/Scientia Silvae Sinicae, 2022, 58 (07): : 43 - 50
  • [39] Prediction of Chinese suitable habitats of Panax notoginseng under climate change based on MaxEnt and chemometric methods
    Guo, Yixin
    Zhang, Shiyan
    Ren, Linghui
    Tian, Xin
    Tang, Shicheng
    Xian, Yisha
    Wu, Xinjia
    Zhang, Zilong
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [40] Predicting the distribution of potentially suitable habitat in China for Cirsium japonicum Fisch. ex DC. under future climate scenarios based on the R-optimized MaxEnt model
    Fang, Hu-Qiang
    Jiang, Zi-Xuan
    Chen, Shi-Mao
    Xie, Tao
    Xue, Yu
    Song, Jia
    Yang, Qing-Shan
    ECOLOGY AND EVOLUTION, 2024, 14 (07):