ORIGINAL RESEARCH article
Front. For. Glob. Change
Sec. Forest Disturbance
Volume 8 - 2025 | doi: 10.3389/ffgc.2025.1679737
Logging Intensity Reshapes Insect Biodiversity in Pine Wilt Disease Forests: A Multi-Trophic Assessment from Jiangxi, China
Provisionally accepted- 1Jiangxi Academy of Forestry, Nanchang, China
- 2Jiangxi Institute of natural resources and monitoring, Nanchang, China
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Pine wilt disease (PWD), caused by Bursaphelenchus xylophilus, has triggered widespread clearcutting in subtropical China, yet the ecological consequences for insect communities remain poorly quantified. This study evaluates the impacts of clearcutting (CC), selection cutting (SC), and unlogged (UC) treatments on insect diversity, community composition, and functional guild structure across four PWD-affected counties in Jiangxi Province. Stratified sampling of 48 plots revealed significant declines in Shannon (UC: 3.63 ± 0.02 vs. CC: 3.14 ± 0.18; F = 19.17, p = 0.00057) and Simpson indices (UC: 0.960 vs. CC: 0.919) under intensive logging, with PERMANOVA confirming treatment-driven restructuring of nine insect orders (explained variance: 60.7–89.5%, p < 0.05). NMDS ordination demonstrated distinct community clusters, with clearcut sites dominated by disturbance-tolerant taxa (e.g., Cicindelidae, IndVal = 0.94) and unlogged forests supporting specialists like Libellulidae (IndVal = 0.95). Functional guild analysis revealed trophic collapse in predators (-63.7%) and parasitoids (p < 0.001) under CC, contrasting with resilient decomposers. Structural equation modeling identified vegetation cover (β = 0.69, p < 0.001) and litter thickness (β = 0.25, p = 0.041) as critical mediators, with logging intensity indirectly reducing diversity via microhabitat degradation (total R² = 0.81). These findings advocate for retention forestry (≥30% canopy cover, 20–30 m³/ha deadwood) to balance disease control and biodiversity conservation in subtropical pine ecosystems.
Keywords: Logging intensity, Insect biodiversity, Pine Wilt Disease Forests, Multi-Trophic Assessment, Jiangxi China
Received: 06 Aug 2025; Accepted: 16 Sep 2025.
Copyright: © 2025 Wang, Liu, Jin, Xie, Li and Yu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yiming Wang, iris_wym@163.com
Ailin Yu, jxycb315@163.com
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