# Assessing the impact of climate change on habitat dynamics of Hovenia dulcis in China using the MaxEnt model

**Authors:** Xi Li, Peiyao Li, Shimeng Li, Mingli Hu, Yankun Li, Yuanxin Li, Shi Wang, Ting Shu, Mingrong Yang, Qiqing Cheng

PMC · DOI: 10.3389/fpls.2025.1641811 · Frontiers in Plant Science · 2025-10-21

## TL;DR

This study uses a climate model to predict how climate change will affect the habitat of Hovenia dulcis in China, finding that suitable areas will shift northward.

## Contribution

The study provides a detailed climate-driven analysis of Hovenia dulcis habitat dynamics and future projections under climate change scenarios in China.

## Key findings

- H. dulcis distribution is primarily influenced by annual precipitation, minimum winter temperature, elevation, and diurnal temperature range.
- Future climate projections suggest a northward shift in suitable habitats for H. dulcis, with some regions expanding and others contracting.
- The study identifies core suitable regions and optimal environmental ranges for H. dulcis under current and future climate conditions.

## Abstract

Hovenia dulcis Thunberg, a multifunctional medicinal plant native to East and Southeast Asia, has been introduced worldwide. However, the environmental factors that determine its habitat and its precise distribution in China remain incompletely characterized.

Therefore, the Maximum Entropy (MaxEnt) model integrated with, ArcGIS was employed to predict the potential distribution of H. dulcis in China, using 479 initial occurrence records (which were spatially filtered to 191 points) and 33 environmental variables (of which 15 were selected for the final analysis). Model performance was assessed via AUC-ROC, with key variables identified through permutation importance and response curves. Future projections were made under SSP126 and SSP585 scenarios for the 2050s and 2090s.

The model demonstrated high accuracy (AUC = 0.934). The distribution of H. dulcis was primarily governed by annual precipitation (Bio12), the minimum temperature of the coldest month (Bio06), elevation, and the mean diurnal temperature range (Bio02). The optimal ranges for these variables were as follows: annual precipitation of 708.5–2,956.8 mm, a minimum temperature of the coldest month between -4.9 and 8.9 °C, elevation of 273.9–1,019.4 m, and a mean diurnal temperature range of 6.81–10.18 °C. At present, suitable habitats are concentrated in central and southwestern China. Future projections indicate a northward shift and altitudinal increase in suitable areas, with expansions in Beijing, Hebei, and Liaoning, but contractions in Guangxi and Shandong. Hunan, Jiangxi, Sichuan, and Guizhou remain core suitable regions. This northward shift is consistent with preference of H. dulcis for the warm temperatures and adequate humidity, highlighting both its vulnerability and its adaptive potential under global warming.

H. dulcis is highly sensitive to climatic variables, particularly temperature and precipitation. Our findings provide a scientific basis for developing well-targeted conservation strategies, promoting sustainable utilization, and optimizing cultivation practices for H. dulcis under climate change.

## Linked entities

- **Species:** Hovenia dulcis (taxon 99292)

## Full-text entities

- **Species:** Hovenia dulcis (Chinese raisintree, species) [taxon 99292]

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12584561/full.md

## References

55 references — full list in the complete paper: https://tomesphere.com/paper/PMC12584561/full.md

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Source: https://tomesphere.com/paper/PMC12584561