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基于Maxent模型的细梢小卷蛾云南潜在分布区预测(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2013年06期
Page:
37-40
Column:
研究论文
publishdate:
2013-11-27

Article Info:/Info

Title:
Prediction of potential distribution of Rhyacionia leptotubula based on Maxent ecological niche model in Yunnan province
Article ID:
1000-2006(2013)06-0037-04
Author(s):
LI Qinwen12LI Yonghe2LIU Jianhong2YANG Song2MA Mingyou3SHE Guanghui1*
1.College of Forest Resources and Environment,Nanjing Forestry University, Nanjing 210037,China;
2. Key Laboratory of Forest Disaster Warning and Control in Yunnan Province,Southwest Forestry University, Kunming 650224,China;
3.Qijiang Distric
Keywords:
Rhyacionia leptotubula Maxent model potential distribution Yunnan province
Classification number :
S763
DOI:
10.3969/j.issn.1000-2006.2013.06.008
Document Code:
A
Abstract:
Distributional data of Rhyacionia leptotubula were derived from wide field surveys of 177 sample sites in Northeastern Yunnan in two consecutive years. Ecological niche modelling technique, Maxent was used to predict potential distribution of Rhyacionia leptotubula based on associations between known occurrence records and a set of environmental variables. The results showed that the suitable areas for Rhyacionia leptotubula infestations covered northeastern Yunnan, northwestern Yunnan, south Sichuan, northwestern Guizhou province. The fit for the model measured by AUC was high, with value of 0.998 for the training data and 0.997 for the test data, indicating the high level of discriminatory power for the Maxent. A jackknife test in Maxent indicated that altitude with the highest gain value was the most important environmental variable.

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Last Update: 2013-11-30