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Random Trees Are the Cornerstones of Natural Forests  ( SCI-EXPANDED收录 EI收录)   被引量:7

文献类型:期刊文献

英文题名:Random Trees Are the Cornerstones of Natural Forests

作者:Zhang, Gongqiao[1] Hui, Gangying[1]

第一作者:张弓乔

通信作者:Hui, GY[1]

机构:[1]Chinese Acad Forestry, Res Inst Forestry, Key Lab Tree Breeding & Cultivat, Natl Forestry & Grassland Adm, POB 1958, Beijing 100091, Peoples R China

年份:2021

卷号:12

期号:8

外文期刊名:FORESTS

收录:;EI(收录号:20213310762379);Scopus(收录号:2-s2.0-85112131315);WOS:【SCI-EXPANDED(收录号:WOS:000690502700001)】;

基金:This work was supported by the National Key Research and Development Program of China, grant number 2016YFD0600203.

语种:英文

外文关键词:natural forests; spatial structure; quantitative characteristics of community; random trees; similarity

摘要:Natural forests serve as the main component of the forest ecosystem. An in-depth interpretation of tree composition and structure of forest community is of great significance for natural forest conservation, monitoring, management, and near-natural silviculture of plantation forest. In this study, we explored the importance of key tree groups-random trees-in natural communities, compared the similarity between the random trees and the communities. This research studies six stem-mapped permanent plots (100 x 100 m(2)) of the typical natural forests in three different geographic regions of China. Several variables and their distributions were applied to study community characteristics comprehensively, including species abundance, diameter distribution, spatial pattern, mingling, crowding, and competition. The genetic absolute distance method is used to analyze the similarity between the random trees and the communities. Our results show that the features of random trees are highly consistent with the communities. The study proposes that random trees are the cornerstones of natural forests. Its quantitative advantage explains the key role that random trees play in natural forests. The study could provide a scientific insight into the protection, monitoring, and management of forests.

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