4.6 Article

Potential Distributions of the Invasive Barnacle Scale Ceroplastes cirripediformis (Hemiptera: Coccidae) Under Climate Change and Implications for Its Management

Journal

JOURNAL OF ECONOMIC ENTOMOLOGY
Volume 114, Issue 1, Pages 82-89

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/jee/toaa245

Keywords

climate change; maximum entropy; species distribution model; soft scale insect; Ceroplastes cirripediformis

Categories

Funding

  1. National Natural Science Foundation of China [31802001]
  2. Nature Science Research Programs of Hebei Education Department [BJ2020052]

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This study evaluated the effects of climatic variables on the distribution patterns of Ceroplastes cirripediformis and produced a global risk map for its outbreak under current and future climate scenarios using the MaxEnt model. The results showed that the potential distribution of C. cirripediformis is expected to be across most zoogeographical regions globally under both current and future climate scenarios, with an expansion in the future. The study provides valuable information for predicting insect pest spread and outbreaks, and serves as an early warning for regions predicted as highly suitable habitats for this pest.
Ceroplastes cirripediformis Comstock is one of the most destructive invasive pests that have caused various negative impacts to agricultural, ornamental, and greenhouse plants. Since it is time- and labor-consuming to control C. cirripediformis, habitat evaluation of this pest may be the most cost-effective method for predicting its dispersal and avoiding its outbreaks. Here, we evaluated the effects of climatic variables on distribution patterns of C. cirripediformis and produced a global risk map for its outbreak under current and future climate scenarios using the Maximum Entropy (MaxEnt) model. Our results showed that mean temperature of driest quarter (Bio 9), precipitation of coldest quarter (Bio 19), precipitation of warmest quarter (Bio 18), and mean temperature of wettest quarter (Bio 8) were the main factors influencing the current modeled distribution of C. cirripediformis, respectively, contributing 41.9, 29.4, 18.8, and 7.9%. The models predicted that, globally, potential distribution of C. cirripediformis would be across most zoogeographical regions under both current and future climate scenarios. Moreover, in the future, both the total potential distribution region and its area of highly suitable habitat are expected to expand slightly in all representative concentration pathway scenarios. The information generated from this study will contribute to better identify the impacts of climate change upon C. cirripediformis's potential distribution while also providing a scientific basis for forecasting insect pest spread and outbreaks. Furthermore, this study serves an early warning for the regions of potential distribution, predicted as highly suitable habitats for this pest, which could promote its prevention and control.

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