Numerical classification of associations and their stabilities of karst evergreen deciduous broad-leaved mixed forests in Mulun National Nature Reserve
- 1 Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125
2 Huanjiang Observation and Research Station of Karst Ecosystem, Chinese Academy of Sciences, Huanjiang, Guangxi 547100
Received date: 2019-07-03
Accepted date: 2019-10-08
Online published: 2019-12-20
Copyright
Abstract
Understanding plant composition, community structure and community distribution of karst climax communities can provide a reference for biodiversity conservation and forest management. Based on topographic factors, soil factors and species composition data of a 25 ha forest dynamic plot in Mulun, Guangxi, we numerically classified the association of karst evergreen deciduous broad-leaved mixed forests multivariate regression trees and a modified Godron stability analysis (
Cite this article
Huijun Chen , Hu Du , Tongqing Song , Wanxia Peng , Hao Zhang , Liang Su , Fuping Zeng . Numerical classification of associations and their stabilities of karst evergreen deciduous broad-leaved mixed forests in Mulun National Nature Reserve[J]. Biodiversity Science, 2019 , 27(10) : 1056 -1068 . DOI: 10.17520/biods.2019215
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