Assessing the Potential Distribution of Lonicera japonica in China Under Climate Change: A Biomod2 Ensemble Model-Based Study

Lonicera japonica, an importante rsource plant, possesses significant medicinal, economic, and ecological value. To understand its response to climate change and to optimize its conservation and utilization, this study employed the Biomod2 ensemble model to predict its potential distribution under future climate scenarios and identified key environmental factors influencing its distribution. The results showed that under current climatic conditions, the potential distribution of honeysuckle is primarily concentrated in low-altitude regions of central and eastern China and the Sichuan Basin. In future scenarios, the overall distribution pattern changes less, and the area of highly suitable habitats slightly decreases by 0.80%. Distribution analysis indicated a trend of northward migration towards higher latitudes. Temperature-related factors, including temperature seasonality, the minimum temperature of the coldest month, the mean temperature of the coldest quarter, and the annual mean temperature, were identified as dominant factors affecting its distribution. The Biomod2 ensemble model significantly improved the precision and accuracy of suitability predictions compared to single models, providing a scientific basis for predicting the future geographic distribution of honeysuckle and for establishing and utilizing its cultivation regions in China.

Authors

Institutions

Publication Details

Journal
Agriculture
Published
2025-02-13
DOI
https://doi.org/10.3390/agriculture15040393
Citations
5
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
9.19

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the Potential Distribution of Lonicera japonica in China Under Climate Change: A Biomod2 Ensemble Model-Based Study

Chaoyang Wei, Danping Xu, Yi‐Jun Lin, Yanjun Guan et al.
5 citations
Agriculture
Species Distribution and Climate Change
9.19
article

Assessing the Potential Distribution of Lonicera japonica in China Under Climate Change: A Biomod2 Ensemble Model-Based Study

Chaoyang Wei, Danping Xu, Yi‐Jun Lin, Yanjun Guan, Ying Pan, Shan Lv, Xiaoyu Huang
article en
5 citations

Abstract

Lonicera japonica, an importante rsource plant, possesses significant medicinal, economic, and ecological value. To understand its response to climate change and to optimize its conservation and utilization, this study employed the Biomod2 ensemble model to predict its potential distribution under future climate scenarios and identified key environmental factors influencing its distribution. The results showed that under current climatic conditions, the potential distribution of honeysuckle is primarily concentrated in low-altitude regions of central and eastern China and the Sichuan Basin. In future scenarios, the overall distribution pattern changes less, and the area of highly suitable habitats slightly decreases by 0.80%. Distribution analysis indicated a trend of northward migration towards higher latitudes. Temperature-related factors, including temperature seasonality, the minimum temperature of the coldest month, the mean temperature of the coldest quarter, and the annual mean temperature, were identified as dominant factors affecting its distribution. The Biomod2 ensemble model significantly improved the precision and accuracy of suitability predictions compared to single models, providing a scientific basis for predicting the future geographic distribution of honeysuckle and for establishing and utilizing its cultivation regions in China.

AgricultureVol. 15(4)
China West Normal University (CN)
China West Normal University
Openalex Percentile: Top 3%
Species Distribution and Climate Change
9.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.