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基于粗糙集方法评价不同林型内大蚕蛾平腹小蜂寄生状况
引用本文:王艺蛟,王志明,迮兴业,于利民,田 云,张 伟,王海峰,施福田,穆焦力,李化中. 基于粗糙集方法评价不同林型内大蚕蛾平腹小蜂寄生状况[J]. 植物保护, 2017, 43(5): 97-102. DOI: 10.3969/j.issn.0529-1542.2017.05.015
作者姓名:王艺蛟  王志明  迮兴业  于利民  田 云  张 伟  王海峰  施福田  穆焦力  李化中
作者单位:1. 吉林农业大学,长春,130118;2. 长春科技学院,长春,130600;3. 吉林省延边朝鲜族自治州森林病虫防治检疫站,延吉,133001;4. 吉林省敦化市林业局,敦化,133700;5. 吉林省汪清县林业局,汪清,133200;6. 吉林省大兴沟林业局,汪清,133202;7. 吉林省和龙林业局,和龙,133500
基金项目:延边州科学技术局科技攻关计划项目(2013AC03)
摘    要:利用柞蚕蛾制作蜂卡,对大蚕蛾平腹小蜂林间寄生率调查。运用粗糙集方法赋权分析林分不同因子对大蚕蛾平腹小蜂寄生率的影响。结果表明:林龄、郁闭度、坡度等指标权重分别为0.263、0.368、0.368,算得均方根误差(RMSE)为1.081。由此分析认为,在林分因子中,林龄、郁闭度和坡度对平腹小蜂寄生率影响较大。并将粗糙集理论与特尔斐法进行了比较,其中均方根误差(RMSE)降低了2.172%,表明利用粗糙集方法适用于林间寄生效果的评价。

关 键 词:大蚕蛾平腹小蜂  生物防治  粗糙集理论  林分因子
收稿时间:2016-11-03
修稿时间:2017-02-05

Evaluation of the parasitic situation of Anastatus sp. in different forest types based on the rough set method
Wang Yijiao,Wang Zhiming,Zuo Xingye,Yu Limin,Tian Yun,Zhang Wei,Wang Haifeng,Shi Futian,Mu Jiaoli,Li Huazhong. Evaluation of the parasitic situation of Anastatus sp. in different forest types based on the rough set method[J]. Plant Protection, 2017, 43(5): 97-102. DOI: 10.3969/j.issn.0529-1542.2017.05.015
Authors:Wang Yijiao  Wang Zhiming  Zuo Xingye  Yu Limin  Tian Yun  Zhang Wei  Wang Haifeng  Shi Futian  Mu Jiaoli  Li Huazhong
Affiliation:1. Jilin Agricultural University, Changchun 130118, China; 2.Changchun Sci-Tech University, Changchun 130600, China; 3. Forest Pest Control and Quarantine Station of Yanbian Korean Autonomous Prefecture, Yanji 133001,China; 4. Forest Pest Control and Quarantine Station of Dunhua City, Jinlin 133700, China; 5. Forest Pest Control and Quarantine Station of Wangqing County, Jilin 133200, China; 6.Daxinggou Forestry Bureau of Jilin Province, Wangqing 133202, China; 7. Helong Forestry Bureau of Jilin Province, Helong 133500, China
Abstract:The Antheraea pernyi egg cards were made for the parasitic rate survey of Anastatus sp. in forests and the parasitic situation was analyzed by using rough set method. The results showed that the weight of forest age, canopy density, slope index determined by the rough set method were 0.263, 0.368 and 0.368, respectively,with a RMSE of 1.081. Based on the analysis, the factors forest age, crown density and slope greatly influenced the parasitic rates of Anastatus sp. compared with the Delphi method, the root mean square error (RMSE) decreased by 2.172%,suggesting that the rough set method was suitable for parasitic rate survey in the forest.
Keywords:Anastatus sp.   biological control   rough set theory   stand factor
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