# Predicting the Current and Future Habitat Distribution for an Important Fruit Pest, Grapholita dimorpha Komai (Lepidoptera: Tortricidae), Using an Optimized MaxEnt Model

**Authors:** Li Huang, Shichao Zuo, Yiqi Huo, Lizong Hu, Zhengbing Wang, Jiahui Zhang, Jin Liu, Weili Ding, Keshi Ma, Mingsheng Yang

PMC · DOI: 10.3390/insects16060623 · Insects · 2025-06-12

## TL;DR

This study predicts the current and future habitats of the fruit pest Grapholita dimorpha in Asia using a MaxEnt model, highlighting key climate factors and potential outbreak risks.

## Contribution

The study is the first to use an optimized MaxEnt model to predict the habitat distribution of Grapholita dimorpha.

## Key findings

- Current suitable habitats for G. dimorpha are in eastern and northeastern China, Korea, and Japan.
- Future projections show a northward shift in suitable habitats and an increase in area by 17.74% to 62.10%.
- The bioclimatic variables bio9 and bio18 are the main drivers of G. dimorpha distribution.

## Abstract

The Grapholita dimorpha Komai (Lepidoptera: Tortricidae) is an important agricultural pest that seriously affects fruit production in Asia. In this study, for the first time, we predicted the potential habitat distribution of this pest using an optimized maximum entropy (MaxEnt) model. Under current bioclimatic conditions, the suitable habitats for G. dimorpha are primarily distributed in eastern China, northeastern China, Korea, and Japan, with the highly suitable habitats in Korea and parts of central Japan. In the future, the suitable habitats are predicted to shift northward overall, and in China and Japan, there are more highly suitable habitats. The bioclimatic factors bio9 (mean temperature of the driest quarter) and bio18 (precipitation of the warmest quarter) are the key variables affecting the potential distribution of G. dimorpha.

The Grapholita dimorpha is one of the significant borer pests that primarily damage plum, pear, and apple trees, often resulting in substantial economic losses in fruit production. However, the potential distribution range of this economically important pest remains poorly understood. In this study, we simulated an optimized maximum entropy (MaxEnt) model to predict the spatiotemporal distribution pattern of G. dimorpha and identified its underlying driving factors. The results indicate that suitable habitats, under current bioclimatic conditions, are mainly distributed in eastern China, northeastern China, Korea, and Japan, covering a total of 273.5 × 104 km2. The highly suitable habitats are primarily located in Korea and parts of central Japan, with a total area of 19.8 × 104 km2. In future projections, the suitable area is expected to increase by 17.74% to 62.10%, and the suitable habitats are predicted to shift northward overall. In particular, there are more highly suitable habitats for G. dimorpha in China and Japan compared to their predominance in Korea under current climatic conditions. The bio9 and bio18 contribute 51.9% and 20.7% to the modeling, respectively, indicating that the distribution of G. dimorpha may be shaped mainly by the mean temperature of the driest quarter and precipitation of the warmest quarter. In summary, the distribution range predicted, particularly for regions with highly suitable habitats, poses a high risk of G. dimorpha outbreaks, emphasizing the priority of pest monitoring and management. Furthermore, the key bioclimatic variables identified could also provide crucial reference for pest monitoring.

## Linked entities

- **Species:** Grapholita dimorpha (taxon 934274), Lepidoptera (taxon 7088), Tortricidae (taxon 7139)

## Full-text entities

- **Diseases:** G. dimorpha (MESH:D004314)
- **Species:** Grapholita dimorpha (species) [taxon 934274], Malus domestica (apple, species) [taxon 3750], Pyrus communis (pear, species) [taxon 23211], Prunus domestica (plum, species) [taxon 3758]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12193446/full.md

## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12193446/full.md

## References

70 references — full list in the complete paper: https://tomesphere.com/paper/PMC12193446/full.md

---
Source: https://tomesphere.com/paper/PMC12193446