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2008年初的南方冰雪灾害对江西九连山自然保护区常绿阔叶林生态系统造成了巨大损失.对受灾4 hm2样地中的1 5901株林木(DBH≥1 cm)进行了统计分析,其中对枫香、马尾松、米槠、木荷、拟赤杨、丝栗栲这6个代表树种进行了残存率恢复研究.结果显示:6种植物残存率为木荷>拟赤杨>米槠>枫香>马尾松>丝栗栲;恢复时间为枫香>丝栗栲>马尾松>木荷>米槠和拟赤杨.恢复时间最长的为枫香(33年),最短的为米槠和拟赤杨(15年左右),种群恢复到受灾前.同时对残存率和恢复时间的关系进行了Logistic非线性曲线模拟.样地中植物种群残存率恢复时间由受灾状况和物种生长速度决定,采用Logistic模型拟合的相关度非常显著.
The snowstorm in the south caused a huge loss to the evergreen broad-leaved forest ecosystem in Jiulianshan Nature Reserve in Jiangxi Province in early 2008. The statistical analysis was carried out on 15 5901 trees (DBH ≥1 cm) in 4 hm2-affected plots, of which, Residual rate recovery of 6 representative tree species of Liquidambar formosana, Pinus massoniana, Miriam, Schima superba, Alnus japonica and Castanopsis carlesii were studied.The results showed that the residual rates of 6 species were Schima superba, > Liquidambar formosana> Masson pine> Castanopsis fargesii; recovery time: Liquidambar formosana> Castanopsis fargesii> Masson pine> Miracles and Alnus cremastogyne (about 15 years old), the population recovered to the pre-disaster .At the same time, the Logistic nonlinear curve was used to simulate the relationship between the residual rate and the recovery time.The recovery time of the plant population residual rate in the sample plots was affected by the disaster and species growth Speed determines the relevance of using Logistic model fitting is significant.