[Objective] The paper was to establish prediction model for Dendrolimus punctatus Walker in coastal shelterbeh in Zhejiang Province of China. [ Method] Using the principles and methods of SAS software, and according t...[Objective] The paper was to establish prediction model for Dendrolimus punctatus Walker in coastal shelterbeh in Zhejiang Province of China. [ Method] Using the principles and methods of SAS software, and according to the correlation analysis and stepwise regression analysis, we selected the relevant meteorological factors from April 1982 to March 2006 as the variables and the population density of D. punctatus from 1983 to 2006 as the dependent variables, to establish the prediction model between insect population density and meteorological factors for D. punctatas in coastal shelterbelt. [ Result] By fitting test, the his- torical compliance rate of the equation was above 85%. When the related data from 2007 to 2011 were used for prediction test, the occurrence condition had small relative error with prediction results except the years seriously affected by natural disasters. [ Conclusion] The paper provides certain reference for pest control against D. punctatus in coastal shelterbelt.展开更多
Insects with their ecological superpower have enormous capacity to transform small pollution damage in forests to full scale calamities. Acid rain resulting from extensive coal burning is the chief pollutant in China....Insects with their ecological superpower have enormous capacity to transform small pollution damage in forests to full scale calamities. Acid rain resulting from extensive coal burning is the chief pollutant in China. Acid rain activates from soil deposits toxic metals, which are transferred to trees and further to insects eating them. We studied the levels of the toxic Cd, its antagonists Zn and Cu, and acid rain indicators Fe and Mn in the forest pest moth Dendrolimus punctatus Walker (Lepidoptera:Lasiocampidae) in variously polluted Pinus massoniana Lamb forests in China.\; The highest density of D. punctatus , as well as the highest Cd levels developed in the moderately polluted forests. Possibly Cd had there broken down the pest resistance of the pines. The paradoxical coexistence of high Cd level and elevated population density of the pest seems to result from the high accumulation of Cd in its ichneumonid parasitoid. In the most heavily polluted forests the Cd level in needles was low, possibly because the strong acid rain had washed away most of the Cd deposit in the soil. It existed there no D.punctatus population. Absence of pest insects from the most heavily polluted areas is a common phenomenon.展开更多
Based on the data of mean population density of overwintering larvae of Dendrolimus punctatus in Shatang forest farm in Guangxi Province, the spatial pattern of overwintering larva of D. punctatus were analyzed by the...Based on the data of mean population density of overwintering larvae of Dendrolimus punctatus in Shatang forest farm in Guangxi Province, the spatial pattern of overwintering larva of D. punctatus were analyzed by the distribution index and regression model method. The results showed that the spatial pattern of overwintering larvae of D. punctatus assumed the aggregation pattern, the basic component of distribution was individual group. The optimal sampling number of forest survey and the sequential sampling analysis were presented, and the upper and low bound index for controlling D. punctatus were put forward to provide certain theoretical basis for integrated pest management.展开更多
基金Supported by Key Agriculture Project in Major Scientific and Technological Special of Science and Technology Department of Zhejiang Province(2010C12029)
文摘[Objective] The paper was to establish prediction model for Dendrolimus punctatus Walker in coastal shelterbeh in Zhejiang Province of China. [ Method] Using the principles and methods of SAS software, and according to the correlation analysis and stepwise regression analysis, we selected the relevant meteorological factors from April 1982 to March 2006 as the variables and the population density of D. punctatus from 1983 to 2006 as the dependent variables, to establish the prediction model between insect population density and meteorological factors for D. punctatas in coastal shelterbelt. [ Result] By fitting test, the his- torical compliance rate of the equation was above 85%. When the related data from 2007 to 2011 were used for prediction test, the occurrence condition had small relative error with prediction results except the years seriously affected by natural disasters. [ Conclusion] The paper provides certain reference for pest control against D. punctatus in coastal shelterbelt.
文摘Insects with their ecological superpower have enormous capacity to transform small pollution damage in forests to full scale calamities. Acid rain resulting from extensive coal burning is the chief pollutant in China. Acid rain activates from soil deposits toxic metals, which are transferred to trees and further to insects eating them. We studied the levels of the toxic Cd, its antagonists Zn and Cu, and acid rain indicators Fe and Mn in the forest pest moth Dendrolimus punctatus Walker (Lepidoptera:Lasiocampidae) in variously polluted Pinus massoniana Lamb forests in China.\; The highest density of D. punctatus , as well as the highest Cd levels developed in the moderately polluted forests. Possibly Cd had there broken down the pest resistance of the pines. The paradoxical coexistence of high Cd level and elevated population density of the pest seems to result from the high accumulation of Cd in its ichneumonid parasitoid. In the most heavily polluted forests the Cd level in needles was low, possibly because the strong acid rain had washed away most of the Cd deposit in the soil. It existed there no D.punctatus population. Absence of pest insects from the most heavily polluted areas is a common phenomenon.
基金Supported by Fund Project in Guangxi Eco-engineering Vocational&Technical College~~
文摘Based on the data of mean population density of overwintering larvae of Dendrolimus punctatus in Shatang forest farm in Guangxi Province, the spatial pattern of overwintering larva of D. punctatus were analyzed by the distribution index and regression model method. The results showed that the spatial pattern of overwintering larvae of D. punctatus assumed the aggregation pattern, the basic component of distribution was individual group. The optimal sampling number of forest survey and the sequential sampling analysis were presented, and the upper and low bound index for controlling D. punctatus were put forward to provide certain theoretical basis for integrated pest management.
