Localized neighborhood species mingling is correlated with individual tree size inequality in natural forests in South China-Reference-Cited by-同舟云学术

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Localized neighborhood species mingling is correlated with individual tree size inequality in natural forests in South China

Published:2021-12 Issue:4 Volume:78 Page:
ISSN:1286-4560
Container-title:Annals of Forest Science
language:en
Short-container-title:Annals of Forest Science

Author:

Wang Hong-Xiang,Huang Shao-Xian,Zhang Shu-Sheng,Peng Hui,Cao Kun-Fang

Funder

National Key Research and Development Program of China

Guangxi Key Research and Development Program

Publisher

Springer Science and Business Media LLC

Subject

Ecology,Forestry

Link

https://link.springer.com/content/pdf/10.1007/s13595-021-01111-x.pdf

Reference50 articles.

1. Aguirre O, Hui G, von Gadow K, Jiménez J (2003) An analysis of spatial forest structure using neighbourhood-based variables. For Ecol Manage 183:137–145

2. Armas C, Pugnaire FI (2005) Plant interactions govern population dynamics in a semi-arid plant community. J Ecol 93:978–989

3. Baddeley A, Rubak E, Turner R (2015) Spatial point patterns: methodology and applications with R. CRC Press

4. Bagchi R, Henrys PA, Brown PE, Burslem DF, Diggle PJ, Gunatilleke CV et al (2011) Spatial patterns reveal negative density dependence and habitat associations in tropical trees. Ecology 92:1723–1729

5. Bettinger P, Tang M (2015) Tree-level harvest optimization for structure-based forest management based on the species mingling index. Forests 6:1121–1144

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3. Assessing the recovery in species, size and location diversities of a lowland tropical rainforest after shifting cultivation by multiple indices at stand and neighborhood scales;Journal of Environmental Management;2023-09

4. Assessment of the species diversity of vegetation growing on the territories of linear infrastructure facilities in Central Russia;Forestry Engineering Journal;2023-05-16

5. Effects of Tree Diversity, Functional Composition, and Large Trees on the Aboveground Biomass of an Old-Growth Subtropical Forest in Southern China;Forests;2023-05-11

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