Journal of Zhejiang Agricultural Sciences ›› 2025, Vol. 66 ›› Issue (11): 2724-2731.DOI: 10.16178/j.issn.0528-9017.20240413

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Potential distribution predition of Pomacea canaliculata in Zhejiang Province of China based on MaxEnt model

WU Yanfen1(), QIU Guoqiang1,*(), QIAO Yu2, PAN Deshou3, SHI Jian4, GAO Bailong4, CHEN Yijie4   

  1. 1 Deqing County Ecological Forestry Comprehensive Service Center, Deqing 313200, Zhjiang
    2 Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou 311400, Zhjiang
    3 Anji Natural Resources Protection Center, Anji 313300, Zhejing
    4 Deqing County Natural Resources and Planning Bureau, Deqing 313200, Zhjiang
  • Received:2024-05-22 Online:2025-11-11 Published:2025-12-01

Abstract:

Pomacea canaliculata is an important invasive alien species in China, posing a serious threat to the safety of wetland ecosystems. To effectively monitor and control P. canaliculata, this study utilized its current geographical distribution data in Zhejiang Province. Using the MaxEnt modle and ArcGIS software, we predicted its potential suitable habitats and analyzed the main environmental factors affecting its distribution by incorporating climate, elevation, and other variables. The results showed that the MaxEnt model performed well in predicting the geographical distribution of P. canaliculata in Zhejiang Province. The potentially suitable habitats were primarily located in the northern Zhejiang Plain, the Eastern Coastal Plain, and the Jinqu Basin, with an overall distribution pattern that was dense in the north and sparse in the central and southern regions. The key environmental factors influencing the distribution of P. canaliculata in Zhejiang Province were altitude, mean temperature of the wettest quarter, maximum temperature of the warmest month, mean temperature of the driest quarter, and precipitation of the driest quarter. The findings of this study can provide a theoretical basis for the monitoring, early warning, quarantine, and control of P. canaliculata in Zhejiang Province.

Key words: Pomacea canaliculate, MaxEnt model, environmental factor, potential distribution, habitat suitability prediction

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