Biodiv Sci ›› 2019, Vol. 27 ›› Issue (2): 140-148. DOI: 10.17520/biods.2018232
• Original Papers • Previous Articles Next Articles
Fan Jingyu,Li Hanpeng,Yang Zhuo,Zhu Gengping
Received:
2018-08-31
Accepted:
2018-12-08
Online:
2019-02-20
Published:
2019-04-16
Contact:
Zhu Gengping
Fan Jingyu, Li Hanpeng, Yang Zhuo, Zhu Gengping. Selecting the best native individual model to predict potential distribution of Cabomba caroliniana in China[J]. Biodiv Sci, 2019, 27(2): 140-148.
Fig. 2 Comparison of climate niche spaces occupied by different populations in five continent. Left: A dataset, including Bio2, Bio3, Bio10, Bio11, Bio15, Bio16, Bio18, and Bio19; Right: B dataset, including Bio1, Bio5, Bio6, Bio12, Bio13, Bio14, and Bio15.
Fig. 3 Histograms of niche equivalency and similarity tests between continental populations based on the two environmental datasets. Black dotted lines represent the observed niche overlap. whereas black bars represent simulated niche overlaps. Left: A dataset; Right: B dataset. Details of dataset A and B refer to Fig. 2.
Fig. 4 Omission and commission error comparisons of native models transferability in China based on the two datasets. Left: A dataset; Right: B dataset. Details of dataset A and B refer to Fig. 2.
Fig. 5 Potential distributions of Cabomba caroliniana based on the two native random forest models using two environmental datasets. Left: A dataset; Right: B dataset. Details of dataset A and B refer to Fig. 2.
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