Applying Biomod2 for modeling of species suitable habitats:a case study of Paeonia lactiflora in China.
10.19540/j.cnki.cjcmm.20211023.101
- Author:
Ya-Qiong BI
1
;
Ming-Xu ZHANG
2
;
Yuan CHEN
3
;
Ai-Xiang WANG
4
;
Min-Hui LI
5
Author Information
1. Jilin Agricultural University Changchun 130118, China Inner Mongolia Hospital of Traditional Chinese Medicine Hohhot 010020, China Inner Mongolia Institute of Traditional Chinese Medicine Hohhot 010020, China.
2. Baotou Medical College Baotou 014040, China Inner Mongolia Key Laboratory of Characteristic Geoherb Resources Protection and Utilization Baotou 014040, China.
3. Inner Mongolia Medical University Hohhot 010110, China.
4. Inner Mongolia Hospital of Traditional Chinese Medicine Hohhot 010020, China Inner Mongolia Institute of Traditional Chinese Medicine Hohhot 010020, China.
5. Jilin Agricultural University Changchun 130118, China Inner Mongolia Hospital of Traditional Chinese Medicine Hohhot 010020, China Inner Mongolia Institute of Traditional Chinese Medicine Hohhot 010020, China Baotou Medical College Baotou 014040, China Inner Mongolia Key Laboratory of Characteristic Geoherb Resources Protection and Utilization Baotou 014040, China Inner Mongolia Medical University Hohhot 010110, China.
- Publication Type:Journal Article
- Keywords:
Biomod2 platform;
climate change;
ensemble model;
suitable habitats;
wild Paeonia lactiflora
- MeSH:
China;
Climate;
Climate Change;
Ecosystem;
Paeonia
- From:
China Journal of Chinese Materia Medica
2022;47(2):376-384
- CountryChina
- Language:Chinese
-
Abstract:
Paeonia lactiflora is an important medicinal resource in China. It is of great significance for the protection and cultivation of P. lactiflora resources to find the suitable habitats. The study was based on the information of 98 distribution sites and the data of 20 current environmental factors of wild P. lactiflora in China. According to the correlation and importance of environmental factors, we selected the main environmental factors affecting the potential suitable habitats. Then, BCC-CSM2-MR model was employed to predict the distribution range and center change of potential suitable habitat of wild P. lactiflora in the climate scenarios of SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 during 2021-2100. The ensemble model combined with GBM, GLM, MaxEnt, and RF showed improved prediction accuracy, with TSS=0.85 and AUC=0.95. Among the 20 environmental factors, annual mean temperature, monthly mean diurnal range of temperature, temperature seasonality, mean temperature of the warmest quarter, precipitation of the wettest month, precipitation seasonality, precipitation of the driest quarter, and elevation were the main factors that affected the suitable habitat distribution of P. lactiflora. At present, the potential suitable habitats of wild P. lactiflora is mainly distributed in Inner Mongolia, Heilongjiang, Jilin, Liaoning, Hebei, Beijing, Shaanxi, Shanxi, Shandong, Gansu, Xinjiang, Tibet, and Ningxia, and concentrated in the northeastern Inner Mongolia, central Heilongjiang, and northern Jilin. Under future climate conditions, the highly sui-table area of wild P. lactiflora will shrink, and the potential suitable habitat will mainly be lost to different degrees. However, in the SSP5-8.5 scenario, the low suitable area of wild P. lactiflora will partially increase in the highlands and mountains in western China including Xinjiang, Tibet, and Qinghai during 2061-2100. The distribution center of wild P. lactiflora migrated first to the northeast and then to the southwest. The total suitable habitats were stable and kept in the high-latitude zones. The prediction of the potential geo-graphical distribution of P. lactiflora is of great significance to the habitat protection and standardized cultivation of this plant in the future.
