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Studies On The Growth Pattern And Response To Environment Of Artificial Pinus Sylvestirs And Pinus Tabulaeformis In Manhan Mountian

Posted on:2009-07-27Degree:MasterType:Thesis
Country:ChinaCandidate:M L YangFull Text:PDF
GTID:2143360245965989Subject:Forest managers
Abstract/Summary:PDF Full Text Request
Based on the tree data of Pinus sylvestris and Pinus tabulaeformis in Mahan mountain, vegetal orderliness and response of environment factors of Pinus sylvestris and Pinus tabulaeformis were analysed.Vegetal orderliness of manual forests of Pinus sylvestris and Pinus tabulaeformis in Mahan mountain were fitted and analysed by many usual growth equation. The best relation between increment of breast and age of Pinus sylvestris and Pinus tabulaeformis was quadratic polynomial, followed by Levacovic A. and Sloboda equation; the best relation of height and age was Levacovic A. equation, followed by the Sloboda equation.The aspect and slope impacted to growth of Pinus sylvestris and Pinus tabulae. Including hight of trees and developing capacity, the growth was better in hidden slope than in sun slope; and the order of the growth was downgrade>middlegrade>upgrade. Correlative analysis and stepwise regressive analysis was used, and link the climate date of Liangcheng, we found the dominant factors that affect growth of height of the manual forests of Pinus sylvestris in Mahan mountain are last year precipitation,annual average wind speed,average humidity, and the factor about the growth of chest was the days of no frost. We also found the factors of affect the height and the speed of chest growth of Pinus tabulaeformis are annual average wind speed and annual average temperature. And we set up the regress model of height and chest of trees of Pinus sylvestris and Pinus tabulae between increment in successive years and climate factors. Above all, it could be the predict tool in to the increment of Pinus sylvestris and Pinus tabulae in ages.
Keywords/Search Tags:Increment, Climatic factors, Correlative analysis, Stepwise regressive analysis
PDF Full Text Request
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