当前位置: 首页 > 文章 > 邓恩桉优株在闽北适应性种植决策探讨 西南林业大学学报(自然科学) 2012,32 (3) 26-30
Position: Home > Articles > Decision-Making Study on Adaptable Planting of Superior Trees of Eucalyptus dunnii in North Fujian Province Journal of Southwest Forestry University(Natural Sciences) 2012,32 (3) 26-30

邓恩桉优株在闽北适应性种植决策探讨

作  者:
郭祥泉;陈慈禄;洪伟;郭祥堆
单  位:
永安市第六中学;顺昌县元坑林业站;福建农林大学桉树研究中心;三明市林业局
关键词:
邓恩桉;极端环境;优良个体;极端低温分布;种植决策
摘  要:
依据闽北建阳市1971—2005年的极端低温资料,构建极值分布数学预测模型,预测邓恩桉引种栽植区5 a、5~10 a和10 a间隔期可能出现的极端临界低温,预测结果分别是,-7.47℃、-7.47~-8.50℃和-8.68℃,用电导率确定邓恩桉不同优株的半致死温度;利用"极端环境反应法",分别对不同优良个体适宜栽植区进行栽植决策,提出以10 a间隔期进行预测决策比较合理适用。
译  名:
Decision-Making Study on Adaptable Planting of Superior Trees of Eucalyptus dunnii in North Fujian Province
作  者:
GUO Xiang-quan1,CHEN Ci-lu2,HONG Wei3,GUO Xiang-dui4(1.Forestry Bureau of Sanming Municipality,Sanming Fujian 365000,China; 2.Forestry Station of Yuanken Township,Shunchang County,Shunchang Fujian 353200,China; 3.Research Centre for Eucalyptus,Fujian Agriculture and Forestry University,Fuzhou Fujian 350002,China; 4.The 6th Middle School of Yong′an City,Yong′an Fujian 366000,China)
关键词:
Eucalyptus dunnii;the extremely adverse environment;superior tree;distribution of the lowest temperature;planting decision-making
摘  要:
The mathematical forecast model of extremely low temperature distribution was built to foretell the possible occurrence of the lowest temperature in 5 a,5-10 a and 10 a durations in the area where Eucalyptus dunnii was introduced and grown based on the data recorded in Jianyang City of north Fujian Province between 1971 and 2005.It was forecast that the possibly lowest temperature in 5 a duration was-7.47 ℃,in 5-10 a duration was-7.47-(-8.5 ℃)and in 10 a duration was-8.68 ℃ respectively.The semilethal low temperature for different E.dunnii superior trees was determined by electrolyte leakage rate.The decision making of fit-planting region for different E.dunnii superior trees was respectively determined with 'Reaction to the Extreme Environment',and it was put forward that the comparatively reasonable decision making should be made with 10 a forecast duration.

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