文献类型：期刊文献

英文题名：Large trees are surrounded by more heterospecific neighboring trees in Korean pine broad-leaved natural forests

作者：Wang, Hongxiang[1] Peng, Hui[1,2] Hui, Gangying[1] Hu, Yanbo[1] Zhao, Zhonghua[1]

通信作者：Hui, GY[1]

机构：[1]Chinese Acad Forestry, Res Inst Forestry, Key Lab Tree Breeding & Cultivat, State Forestry Adm, Beijing 100091, Peoples R China;[2]Fengyangshan Natl Nat Reserve, Longquan 323700, Zhejiang, Peoples R China

年份：2018

卷号：8

期号：1

外文期刊名：SCIENTIFIC REPORTS

收录：;Scopus(收录号：2-s2.0-85048829568);WOS:【SCI-EXPANDED(收录号:WOS:000435338100064)】；

基金：The authors gratefully acknowledge the finacial support of National Key Research and Development Programe of China (2016YFD0600203).

语种：英文

摘要：Negative conspecific density dependence is one of the principal mechanisms affecting plant performance and community spatial patterns. Although many studies identified the prevalence of density dependent effects in various vegetation types by analyzing conspecific spatial dispersal patterns (spatial patterning) of forest trees, interactions between individuals and heterospecific neighboring trees caused by density-dependent effects are often neglected. The effects of negative density dependence lead us to expect that neighbourhood species segregation would increase with increasing tree size and that larger trees would be surrounded by more heterospecific neighbours than would smaller trees. We studied four mapped 1-Ha plots on Changbaishan Mountain in North-eastern China and used marked point pattern analysis to explore whether trees of different sizes exhibited differences in neighbourhood species segregation; we also determined whether larger trees were more likely to have heterospecific neighbours than smaller trees were. Our results show that bigger trees generally have higher species mingling levels. Neighborhood species segregation ranged from lower than expected levels to random or nearly random patterns at small scales as tree size classes increased under heterogeneous Poisson null model tests. This study provides some evidence in support of negative density dependent effects in temperate forests.