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Scientia Silvae Sinicae ›› 2022, Vol. 58 ›› Issue (11): 181-190.doi: 10.11707/j.1001-7488.20221117

• Scientific notes • Previous Articles    

Driving Factors of the Temporal Stability of Biomass of Mixed Broadleaf-Conifer Forest

Shuijin Yu1,Juan Wang1,*,Haiyan He2,Chunyu Zhang1,Xiuhai Zhao1   

  1. 1. Research Center of Forest Management Engineering of National Forestry and Grassland Administration, Beijing Forestry University Beijing 100083
    2. Office Management Center of Jilin Changbai Mountain Protection Development Management Committee Yanbian Korean Aubonomous Prefecture 133613
  • Received:2021-05-23 Online:2022-11-25 Published:2023-03-08
  • Contact: Juan Wang

Abstract:

Objective: The objective was to investigate the effects of biodiversity, DBH structure and topography on the temporal stability of biomass and clarify the main driving factors for the temporal stability of biomass at different spatial scales. Method: Based on two large fixed sample plots in Jiaohe, Jilin, the influences of different spatial scales was quantitatively analyzed by randomly sampling 20 m×20 m, 40 m×40 m, and 60 m×60 m plots. Three types of nested models were constructed using generalized additive models: stability~biodiversity + DBH structure (model 1), stability-biodiversity + topographic factors (model 2), stability-biodiversity + DBH structure + topographic factors (model 3), and compared with stability~biodiversity (model 0). The relative contributions of different explanatory factors are evaluated by the variation of Akaike information criterion (△AIC), the variation of Bayesian information criterion (△BIC), the variation of adjusted determination coefficient (△Radj2) and the variation of deviance explained (△DE). Result: The analysis of the generalized additive model shows that at the three scales of 20 m×20 m, 40 m×40 m, and 60 m×60 m, the relative contribution rates of biodiversity are 15.18%, 12.66%, and 47.64%, respectively; the relative contribution rates of DBH structure are 11.30%, 72.38%, and 23.48%, respectively; the relative contribution rates of topography are 73.52%, 14.96%, and 28.88%, respectively. Biodiversity and DBH structure are only significantly correlated with the temporal stability of biomass on the 60 m×60 m scale (P < 0.05). Among them, species richness and Faith phylogenetic diversity index are significantly negatively correlated with the temporal stability of biomass. The maximum diameter at breast height and basal area per hectare are significantly positively correlated with the temporal stability of biomass, and the coefficient of variation of diameter at breast height is significantly negatively correlated with the temporal stability of biomass. Among the topographic factors, the aspect is significantly related to the temporal stability of biomass at the 20 m×20 m scale, and the elevation and slope are significantly related to the temporal stability of biomass at the 60 m×60 m scale. The explanation rate of the deviation of the above explanatory variables on the temporal stability of biomass increases with the spatial scale. The driving factor for the temporal stability of volume is basically the same as the temporal stability of biomass. Conclusion: The relative influences of topographic factors, DBH structure and biodiversity have significant scale effects on the temporal stability of biomass and shift along different spatial scales. Topographical factors play a major role in the temporal stability of biomass at the scale of 20 m×20 m. DBH structure plays a major role in the temporal stability of biomass at the scale of 40 m×40 m and biodiversity plays a major role in the temporal stability of biomass at the scale of 60 m×60 m. The results provide a theoretical basis for improving the stability of the northeast coniferous and broad-leaved mixed forest ecosystem.

Key words: temporal stability of biomass, biodiversity, DBH structure, topography, spatial scale

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