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2008年1—2月发生在我国南方地区的冰雪灾害对南岭常绿阔叶林造成了巨大的破坏,同时也为抗冰雪灾害树种选择提供了良好的平台。为了选择适宜冰雪灾害受损南岭森林恢复树种,结合广东省杨东山十二度水省级自然保护区灾后实地调查数据,利用合理-满意度结合多维价值理论的评价方法,建立树种筛选评价模型,以树种的受损指数、重要值、萌条率和林下更新种丰度等可量化因子为指标,计算各树种的单因素满意度,通过加权法计算其合成合理-满意度,以此筛选出乔木树种甜槠(Castanopsis eyrei)、雷公青冈(Cyclobalanopsis hui)、小红栲(C.carlesii)和深山含笑(Michelia maudiae),灌木树种广东杜鹃(Rhododendron kwangtungense)、鹿角杜鹃(R.latoucheae)、溪畔杜鹃(R.rivulare)为适宜在南岭山地冰雪灾害后恢复的优良树种。研究结果可为南岭冰雪灾害灾后恢复重建提供科学参考,也可为亚热带地区应对极端气候事件提供技术储备。
The snow disasters that hit southern China from January to February 2008 caused huge damage to the evergreen broad-leaved forest in Nanling and provided a good platform for tree species selection in the fight against snow disaster. In order to select the suitable Nanling forest restoration species suitable for ice and snow disasters, combined with the field investigation data of Yangdong Dongsheng twelve degrees water provincial nature reserve in Guangdong Province, the evaluation model of species selection based on multi-dimensional value theory The single factor satisfaction of each tree species was calculated based on the quantifiable factors such as the damage index, the importance value, the germination rate and the abundance of new species under the tree, and the synthetic rationality - satisfaction was calculated by the weighted method The species of Castanopsis eyrei, Cyclobalanopsis hui, C.carlesii and Michelia maudiae, shrub species Rhododendron kwangtungense, R.latoucheae, , R.rivulare is an excellent tree species suitable for recovery after the snow disaster in Nanling. The results provide a scientific reference for the post-disaster reconstruction of Nanling snow disaster and also provide technical reserves for the extreme climate events in the subtropical region.