Modelling potential distribution of Tuta absoluta in China under climate change using CLIMEX and MaxEnt

被引:7
|
作者
Zhao, Jinyu [1 ]
Ma, Li [1 ]
Song, Chengfei [1 ]
Xue, Zengsheng [1 ]
Zheng, Ruirui [1 ]
Yan, Xizhong [1 ]
Hao, Chi [1 ]
机构
[1] Shanxi Agr Univ, Coll Plant Protect, Taigu, Peoples R China
关键词
climate change; CLIMEX; MaxEnt; potential distribution; prediction; Tuta absoluta; GREENHOUSE TOMATO PRODUCTION; SPECIES DISTRIBUTION; GEOGRAPHICAL-DISTRIBUTION; LEPIDOPTERA-GELECHIIDAE; MEYRICK LEPIDOPTERA; LEAF MINER; LEAFMINER; RISK; PERFORMANCE; MANAGEMENT;
D O I
10.1111/jen.13181
中图分类号
Q96 [昆虫学];
学科分类号
摘要
The Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) originated in South America and is a major pest of the economically critical solanaceous crops. It is devastating to tomatoes, attacking mainly the leaves, stems, flowers and fruits of tomato plants, and can cause up to 100% damage. T. absoluta invaded China in 2017 and expanded rapidly, severely impacting the tomato industry. To illustrate the detailed potential distribution of T. absoluta in China, we used CLIMEX and MaxEnt models to predict the potential distribution of this pest using historical and future climate data. CLIMEX predicts a wider potential distribution area for T. absoluta in China than MaxEnt, which suggests that most of China is suitable for its distribution, except for the Tarim Basin in southern Xinjiang, western Inner Mongolia and northwestern Gansu. Both models accurately predicted the known distribution of T. absoluta in the provinces of Yunnan and Guangxi, and the predictions by both models suggest the total distribution range of T. absoluta in China is to increase slightly with future changes in climate temperature. These predictions will help understand the influence of climate change on the potential distribution of T. absoluta in China and thus provide a theoretical foundation for developing early monitoring, quarantine and control strategies.
引用
收藏
页码:895 / 907
页数:13
相关论文
共 50 条
  • [41] Predicting the Potential Distribution of Olea ferruginea in Pakistan incorporating Climate Change by Using Maxent Model
    Ashraf, Uzma
    Ali, Hassan
    Chaudry, Muhammad Nawaz
    Ashraf, Irfan
    Batool, Adila
    Saqib, Zafeer
    SUSTAINABILITY, 2016, 8 (08)
  • [42] Climate change and potential distribution of potato (Solanum tuberosum) crop cultivation in Pakistan using Maxent
    Khalil, Tayyaba
    Asad, Saeed A.
    Khubaib, Nusaiba
    Baig, Ayesha
    Atif, Salman
    Umar, Muhammad
    Kropp, Jurgen P.
    Pradhan, Prajal
    Baig, Sofia
    AIMS AGRICULTURE AND FOOD, 2021, 6 (02): : 663 - 676
  • [43] Prediction of potential habitat of Verbena officinalis in China under climate change based on optimized MaxEnt model
    Chen, Shimao
    Jiang, Zixuan
    Song, Jia
    Xie, Tao
    Xue, Yu
    Yang, Qingshan
    FRONTIERS IN PLANT SCIENCE, 2025, 16
  • [44] Predicting possible distribution of rice leaf roller (Cnaphalocrocis medinalis) under climate change scenarios using MaxEnt model in China
    Zhao, Yuncheng
    Zhang, Lei
    Wang, Chunzhi
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [45] Predicting the spatial distribution of three Ephedra species under climate change using the MaxEnt model
    Li, Yunfeng
    Wang, Yan
    Zhao, Chunying
    Du, Xiaojuan
    He, Ping
    Meng, Fanyun
    HELIYON, 2024, 10 (12)
  • [46] Predicting Possible Distribution of Tea (Camellia sinensis L.) under Climate Change Scenarios Using MaxEnt Model in China
    Zhao, Yuncheng
    Zhao, Mingyue
    Zhang, Lei
    Wang, Chunyi
    Xu, Yinlong
    AGRICULTURE-BASEL, 2021, 11 (11):
  • [47] Modeling Current and Future Potential Land Distribution Dynamics of Wheat, Rice, and Maize under Climate Change Scenarios Using MaxEnt
    Ali, Shahzad
    Umair, Muhammad
    Makanda, Tyan Alice
    Shi, Siqi
    Hussain, Shaik Althaf
    Ni, Jian
    LAND, 2024, 13 (08)
  • [48] Modeling potential distribution of newly recorded ant, Brachyponera nigrita using Maxent under climate change in Pothwar region, Pakistan
    Fareen, Ammara Gull E.
    Mahmood, Tariq
    Bodlah, Imran
    Rashid, Audil
    Khalid, Azeem
    Mahmood, Shahid
    PLOS ONE, 2022, 17 (01):
  • [49] Modelling the potential impacts of climate change on the distribution of ichthyoplankton in the Yangtze Estuary, China
    Zhang, Zhixin
    Mammola, Stefano
    Xian, Weiwei
    Zhang, Hui
    DIVERSITY AND DISTRIBUTIONS, 2020, 26 (01) : 126 - 137
  • [50] Predicting the potential distribution of Campsis grandiflora in China under climate change
    Ouyang, Xianheng
    Pan, Jiangling
    Wu, Zhitao
    Chen, Anliang
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (42) : 63629 - 63639