European Journal of Forest Research

, Volume 134, Issue 5, pp 769–780 | Cite as

Forest biomass recovery after different anthropogenic disturbances: relative importance of changes in stand structure and wood density

  • Dunmei Lin
  • Jiangshan Lai
  • Bo Yang
  • Piao Song
  • Ning Li
  • Haibao Ren
  • Keping Ma
Original Paper


Restoring the functions of disturbed forest to mitigation climate change is a main topic of policy makers. Better understanding of factors that directly influence post-disturbance forest biomass recovery is urgently needed to guide forest restoration and management. In this study, we examine changes in forest stand structure, wood density and biomass of forests recovering from different anthropogenic disturbances that represent forest land-use types in subtropical China: plantation, twice-logged and once-logged secondary forests, and compare them with undisturbed old-growth forest. Stand structure and wood density in all disturbed forests were evidently different from that of old-growth forest, even after 50-year regrowth. Forest biomass increased along plantation, twice-logged, once-logged and old-growth forests, with total living biomass (TLB) ranging from 150.8 ± 4.6 to 278.4 ± 1.5 Mg ha−1, aboveground biomass from 111.8 ± 4.2 to 204.1 ± 1.5 Mg ha−1 and coarse-root biomass from 33.0 ± 0.9 to 71.0 ± 0.8 Mg ha−1. However, fine-root biomass was highest in plantation (5.99 ± 0.52 Mg ha−1) and lowest in once-logged forest (3.35 ± 0.19 Mg ha−1). Both changes in stand structure and functional trait (wood density) directly determine forest biomass recovery according to the result that 10.6, 35.5 and 8.2 % of variation in TLB over the disturbance gradient were independently explained by basal area (<20 cm diameter), basal area (≥20 cm diameter) and wood density, respectively. Our results suggest that recovery forest structure to the state associated with undisturbed forests will lead to large carbon sink in disturbed forests. In addition, trait-based managing approach should not be overlooked when maximizing carbon storage is a major management objective.


Anthropogenic disturbance Subtropical forest Forest recovery Forest structure Wood density 

Supplementary material

10342_2015_888_MOESM1_ESM.xlsx (18 kb)
Table S1Tree height regression models used in this study (XLSX 17 kb)
10342_2015_888_MOESM2_ESM.docx (12 kb)
Table S2Principal components analysis result of the soil data (DOCX 11 kb)


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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Dunmei Lin
    • 1
    • 2
    • 3
  • Jiangshan Lai
    • 2
  • Bo Yang
    • 2
    • 4
  • Piao Song
    • 2
  • Ning Li
    • 2
  • Haibao Ren
    • 2
  • Keping Ma
    • 2
  1. 1.Key Laboratory of the Three Gorges Reservoir Region’s Eco-Environment, Ministry of EducationChongqing UniversityChongqingChina
  2. 2.State Key Laboratory of Vegetation and Environmental Change, Institute of BotanyThe Chinese Academy of SciencesBeijingChina
  3. 3.National Centre for International Research of Low-Carbon and Green BuildingsChongqing UniversityChongqingChina
  4. 4.Key Laboratory of Resource Plant and BiotechnologyJingdezhen UniversityJingdezhenChina

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