Maxent modeling for predicting the potential distribution of Sanghuang, an important group of medicinal fungi in China
文献类型：期刊论文
| 作者 | Wei, Yu-Lian; Wang, Xu-Gao; Yuan, Hai-Sheng |
| 刊名 | FUNGAL ECOLOGY
 |
| 出版日期 | 2015-10-01 |
| 卷号 | 17页码:140-145 |
| 关键词 | Biogeographic Distribution Fungal Fruiting Bodies Maxent Spatial Prediction Modeling |
| ISSN号 | 1754-5048 |
| DOI | 10.1016/j.funeco.2015.06.001 |
| 英文摘要 | The ability to identify the spatial distribution of economically important fungal species is crucial for understanding the environmental factors that affect them and for conservation management. A potentially valuable approach for this is maximum entropy (Maxent) spatial distribution modeling, which was applied here to map the potential distribution of three "Sanghuang" mushrooms in China, which include Phellinus baumii, Phellinus igniarius and Phellinus vaninii. Nineteen WorldClim bioclimatic variables, with corresponding altitude data, and 89 spatially well-dispersed species occurrence records were used in the modeling. The relative importance of the environmental variables was evaluated by Jackknife tests in the modeling. analysis. The maximum entropy models obtained have high Area Under Receiver Operating Characteristic Curve (AUC) values: 0.956, 0.967 and 0.960, for P. baumii, P. igniarius and P. vaninii, respectively. The bioclimatic variable that most strongly affected distributions of P. baumii and P. vaninii was precipitation in the warmest quarter, while the mean temperature in the warmest quarter affected the distribution of P. igniarius most strongly. Overall, these models could provide valuable help in searching for the target species in areas where it is hitherto unknown, and be the reference of conservation measures for these medicinal fungal species. (C) 2015 Elsevier Ltd and The British Mycological Society. All rights reserved. |
| WOS研究方向 | Environmental Sciences & Ecology ; Mycology |
| 语种 | 英语 |
| WOS记录号 | WOS:000362060600014 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://210.72.129.5/handle/321005/122221]  |
| 专题 | 中国科学院沈阳应用生态研究所 |
| 通讯作者 | Yuan, Hai-Sheng |
| 作者单位 | Chinese Acad Sci, Inst Appl Ecol, State Key Lab Forest & Soil Ecol, Shenyang 110164, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wei, Yu-Lian,Wang, Xu-Gao,Yuan, Hai-Sheng. Maxent modeling for predicting the potential distribution of Sanghuang, an important group of medicinal fungi in China[J]. FUNGAL ECOLOGY,2015,17:140-145. |
| APA | Wei, Yu-Lian,Wang, Xu-Gao,&Yuan, Hai-Sheng.(2015).Maxent modeling for predicting the potential distribution of Sanghuang, an important group of medicinal fungi in China.FUNGAL ECOLOGY,17,140-145. |
| MLA | Wei, Yu-Lian,et al."Maxent modeling for predicting the potential distribution of Sanghuang, an important group of medicinal fungi in China".FUNGAL ECOLOGY 17(2015):140-145. |
入库方式： OAI收割
来源：沈阳应用生态研究所
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