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Habitat Suitability Study of Hylomecon Japonica Based on Maxent Model in China

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Abstract Background: To understand the potential distribution and habitat suitability of H. japonica in China. And to provide guidance for the wild cultivation and standardized planting of H. japonica. Methods: The maximum entropy model (Maxent) and geographic information system (ArcGIS) were applied to predict the potential suitable habitat of H. japonica species, and the contribution of variables were evaluated by using the jackknife test. Results: The AUC value confirmed the accuracy of the model prediction based on 101 occurrence records. The potential distributions of H. japonica were mainly concentrated in Jilin, Liaoning, Shaanxi and other provinces (adaptability index>0.6). Jackknife experiment showed that the precipitation of driest month (35.6%), precipitation of wettest quarter (13.4%), the mean annual temperature (7.8%) and the subclass of soil (7.8%) were the most important factors affecting the potential distribution of H. japonica. Conclusion: The niche parameters of the most suitable growth area (adaptability index>0.8) for H. japonica were precipitation of driest month (5 mm), precipitation of wettest quarter (400-490 mm), the mean annual temperature (-2-4 °C) and the subclass of soil (Glossy Chernozem, Gleyic Lime, Haplic Gypsisols).
Title: Habitat Suitability Study of Hylomecon Japonica Based on Maxent Model in China
Description:
Abstract Background: To understand the potential distribution and habitat suitability of H.
japonica in China.
And to provide guidance for the wild cultivation and standardized planting of H.
japonica.
Methods: The maximum entropy model (Maxent) and geographic information system (ArcGIS) were applied to predict the potential suitable habitat of H.
japonica species, and the contribution of variables were evaluated by using the jackknife test.
Results: The AUC value confirmed the accuracy of the model prediction based on 101 occurrence records.
The potential distributions of H.
japonica were mainly concentrated in Jilin, Liaoning, Shaanxi and other provinces (adaptability index>0.
6).
Jackknife experiment showed that the precipitation of driest month (35.
6%), precipitation of wettest quarter (13.
4%), the mean annual temperature (7.
8%) and the subclass of soil (7.
8%) were the most important factors affecting the potential distribution of H.
japonica.
Conclusion: The niche parameters of the most suitable growth area (adaptability index>0.
8) for H.
japonica were precipitation of driest month (5 mm), precipitation of wettest quarter (400-490 mm), the mean annual temperature (-2-4 °C) and the subclass of soil (Glossy Chernozem, Gleyic Lime, Haplic Gypsisols).

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