Spatial distribution dynamics for Epimedium brevicornum Maxim. from 1970 to 2020
Yunfeng Li1,2, Yan Wang1, Xiaojuan Du1
1Hebei Province Key Laboratory of Research and Development of Traditional Chinese Medicine Chengde Medical University Chengde Hebei China.
Ecology and Evolution
|February 23, 2024
Summary
This study modeled the potential distribution of Epimedium brevicornum Maxim across five decades, revealing significant spatial dynamics influenced by temperature seasonality and minimum temperature. Conservation strategies are proposed based on these findings.
Area of Science:
- Ecology and Conservation Biology
- Biogeography and Species Distribution Modeling
- Plant Science and Ethnobotany
Background:
- Species distribution changes over time, but the spatial dynamics of Epimedium brevicornum Maxim across different time scales remain poorly understood.
- Epimedium brevicornum Maxim is a species with obvious distribution changes, necessitating a deeper understanding of its spatial dynamics.
Purpose of the Study:
- To model the potential distribution of Epimedium brevicornum across five distinct time scales (1970-2019).
- To analyze the spatial dynamics and changes in highly suitable areas of Epimedium brevicornum under different time scales.
- To identify key environmental factors influencing the distribution and propose conservation strategies.
Main Methods:
- Potential distribution modeling for Epimedium brevicornum using occurrence data across five decades.
- Optimization of parameter combinations using the Kuenm package.
- Simulation of changes in highly suitable areas and spatial dynamics using Species Distribution Model (SDM) tools and Venn diagrams.
Main Results:
- Temperature seasonality (BIO4, 37.54%) and minimum temperature (TMIN, 21.42%) were the most significant factors influencing Epimedium brevicornum distribution.
- Distribution areas varied significantly across time scales, with notable concentrations in Gansu, Shaanxi, Shanxi, and Henan provinces.
- Analysis revealed distinct regions for expansion (5.6 × 10^5 km^2), stability (3.54 × 10^5 km^2), and contraction (3.47 × 10^5 km^2), with approximately 7.96% of regions being highly stable. Critical migration areas were identified in Wanyuan, Chenggu, Hechuan, and Xixiang counties.
Conclusions:
- Epimedium brevicornum exhibits distinct spatial distribution patterns and dynamics across different time scales.
- Environmental factors, particularly temperature seasonality and minimum temperature, play a crucial role in shaping its distribution.
- The study provides a foundation for developing comprehensive conservation and management strategies to improve resource utilization of Epimedium brevicornum.
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