Predicting the potential distribution of Perina nuda under climate change in China

被引:1
|
作者
Mao, Xinjie [1 ]
Zheng, Huisen [1 ]
Liao, Songkai [1 ]
Wei, Hongjian [1 ]
Lin, Haoyu [1 ]
Wang, Qi [1 ]
Chen, Hui [1 ,2 ]
机构
[1] South China Agr Univ, Coll Forestry & Landscape Architecture, Guangzhou, Peoples R China
[2] South China Agr Univ, Coll Forestry & Landscape Architecture, Guangzhou 510642, Peoples R China
关键词
environmental variables; Ficus species; global distribution data; leaf-feeding pest; Lepidoptera; Lymantriidae; MaxEnt; pest management; species distribution model; suitable habitat; SPECIES DISTRIBUTIONS; DISTRIBUTION MODELS; SHIFTS; COMPLEXITY; EVOLUTION; IMPACTS; RISK;
D O I
10.1111/eea.13451
中图分类号
Q96 [昆虫学];
学科分类号
摘要
Perina nuda (Fabricius) (Lepidoptera: Lymantriidae) is an important leaf-feeding pest of Ficus species. It significantly affects the growth and reproduction of Ficus species, the economic prospects of growers, and the beauty of urban gardens. This study employed the MaxEnt model to predict and analyze the potential distribution of P. nuda in China, utilizing global distribution data and the correlation between the distribution of P. nuda and environmental variables. The results showed that the dominant environmental variables influencing the distribution of P. nuda included the warmest quarterly precipitation, coldest monthly minimum temperature, annual precipitation, and wettest monthly precipitation. The potential distribution area of P. nuda in China under current climatic conditions is 158 x 10(4) km(2), accounting for 16.4% of the total area of the country. According to the SSP5-8.5 scenario in 2050, the potential distribution area of P. nuda is projected to reach 200 x 10(4) km(2), an increase of 26.5% compared to the current. P. nuda is widespread in China and has a tendency to spread, threatening the growth of Ficus species. This study is important for monitoring and control of P. nuda in areas where it is present, and where it may be present in the future.
引用
收藏
页码:738 / 750
页数:13
相关论文
共 50 条
  • [1] Predicting the potential distribution of Campsis grandiflora in China under climate change
    Ouyang, Xianheng
    Pan, Jiangling
    Wu, Zhitao
    Chen, Anliang
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (42) : 63629 - 63639
  • [2] Predicting the potential distribution of Campsis grandiflora in China under climate change
    Xianheng Ouyang
    Jiangling Pan
    Zhitao Wu
    Anliang Chen
    [J]. Environmental Science and Pollution Research, 2022, 29 : 63629 - 63639
  • [3] PREDICTING POTENTIAL DISTRIBUTION OF STELLERA CHAMAEJASME UNDER GLOBAL CLIMATE CHANGE IN CHINA
    Li, L.
    Zhang, B.
    Wen, A. M.
    Xao, X. J.
    [J]. APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2022, 20 (05): : 3977 - 3993
  • [4] Predicting the Potential Distribution of Quercus oxyphylla in China under Climate Change Scenarios
    Chen, Shuhan
    You, Chengming
    Zhang, Zheng
    Xu, Zhenfeng
    [J]. FORESTS, 2024, 15 (06):
  • [5] Predicting the Potential Distribution of Pine Wilt Disease in China under Climate Change
    Ouyang, Xianheng
    Chen, Anliang
    Li, Yan
    Han, Xiaoxiao
    Lin, Haiping
    [J]. INSECTS, 2022, 13 (12)
  • [6] Predicting the Potential Distribution of Rare and Endangered Emmenopterys henryi in China Under Climate Change
    Cai, Hanwei
    Zhang, Guangfu
    [J]. ECOLOGY AND EVOLUTION, 2024, 14 (10):
  • [7] Predicting the Potential Distribution of Polygala tenuifolia Willd. under Climate Change in China
    Jiang, Hongjun
    Liu, Ting
    Li, Lin
    Zhao, Yao
    Pei, Lin
    Zhao, Jiancheng
    [J]. PLOS ONE, 2016, 11 (09):
  • [8] Predicting the potential distribution of four endangered holoparasites and their primary hosts in China under climate change
    Lu, Xin
    Jiang, Ruoyan
    Zhang, Guangfu
    [J]. FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [9] Predicting the Potential Distribution of Apple Canker Pathogen (Valsa mali) in China under Climate Change
    Xu, Wei
    Sun, Hongyun
    Jin, Jingwei
    Cheng, Jimin
    [J]. FORESTS, 2020, 11 (11): : 1 - 22
  • [10] Predicting the Potential Distribution of the Endangered Plant Eucommia ulmoides in China under the Background of Climate Change
    Xie, Siyuan
    Si, He
    Sun, Hongxia
    Zhao, Qian
    Li, Xiaodong
    Wang, Shiqiang
    Niu, Junfeng
    Wang, Zhezhi
    [J]. SUSTAINABILITY, 2023, 15 (06)