文献类型：期刊文献

英文题名：Effects of stand structural diversity on carbon storage of Masson pine forests in Fengyang Mountain Nature Reserve, China

作者：Miao, Yongzhao[1,2] Tong, Ran[1] Zhu, Nianfu[1] Chen, Song[1] Zhou, Fang[1] Wang, G. Geoff[3] Wu, Tonggui[1]

第一作者：Miao, Yongzhao

通信作者：Wu, TG[1];Tong, R[1]

机构：[1]Chinese Acad Forestry, Res Inst Subtrop Forestry, East China Coastal Forest Ecosyst Longterm Res Stn, Hangzhou 311400, Peoples R China;[2]Nanjing Forestry Univ, Coll Landscape Architecture, Nanjing 210037, Peoples R China;[3]Clemson Univ, Dept Forestry & Environm Conservat, Clemson, SC 29634, USA

年份：2025

卷号：5

外文期刊名：FORESTRY RESEARCH

收录：Scopus(收录号：2-s2.0-105009475882);WOS:【ESCI(收录号:WOS:001513397400002)】；

基金：Fundamental Research Funds of the Central Non-profit Research Institute of Chinese Academy of Forestry (CAFYBB2022SY010) , and the Pioneering and Leading Goose R&D Program of Zhejiang (2022C02053) .

语种：英文

外文关键词：Carbon pool components; Carbon storage; Masson pine forests; Non-spatial structural diversity; Spatial structural diversity

摘要：Stand structural diversity, encompassing spatial and non-spatial dimensions, is a key indicator of forest carbon storage, yet its relative impacts on multiple carbon pools remain unclear. Additionally, whether structural diversity consistently influences carbon storage across overstory, understory, and soil layers is uncertain. This study examined carbon storage dynamics across 13 secondary Masson pine forests within the Fengyang Mountain Nature Reserve. Principal component analysis was used to classify the stands into three types based on their spatial and non-spatial structural diversity: Type I (high spatial and high non-spatial diversity), Type II (high spatial but low non-spatial diversity), and Type III (low spatial and low non-spatial diversity). Total carbon storage was highest in Type I, while carbon storage in the understory layers was lowest in this type. Spatial structural diversity had a stronger influence on carbon storage than non-spatial diversity, with the uniform angle index primarily affecting overstory carbon storage, and the crowding index influenced understory carbon storage. Random forest analysis identified biomass and structural diversity as major predictors of carbon storage. Partial least squares path modeling revealed that spatial structural diversity indirectly increased overstory and soil carbon storage, but reduced understory carbon storage by modulating biomass. Our results highlight that spatial structural diversity is a dominant driver of carbon storage in forest ecosystems, with contrasting effects on overstory, understory, and soil layers, underscoring its critical role in regulating forest carbon dynamics.