Spatial distributions pattern and associations of dead woods in natural spruce-fir secondary forests
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Natural secondary forest is the main part of forest resources in China. Studying dead woods (DW) could better reveal the community succession rule and promote the healthy development of them. We investigated basic characteristics and coordinates of each tree (DBH≥1 cm) within a plot (100 m×100 m) using the adjacent grid method and studied the spatial distributions pattern and associations of DW (in the last five years) in a typical natural spruce-fir secondary forest in Jingouling Forest Farm, Wangqing Forestry Bureau, Jilin Province, China. The results showed that the diameter class distribution of DW showed the pattern of left-single-peak curve, while the logs showed the pattern of multi-peak curve. DW number was related to the mixing degree of one species, but not to the total number of it. The distribution of DW was concentrated at 0~8m scale. As the scale increases, it changed to random or uniform. The aggregation distribution of DW of medium (10 cm≤DBH<20 cm) and small (1 cm≤DBH<10 cm) DBH at small scale below 8 m was the main reason for the aggregation distribution of DW. The DW of large (DBH≧20 cm) DBH and Saplings (1 cm≤DBH<5 cm) showed a significant positive association at 2~25 m scale. There was no significant spatial association between DW and Small trees(5 cm≤DBH<15 cm). At 0~3m scale, there was a positive association between Medium trees (15 cm≤DBH<25 cm) and DW of small and medium DBH. At the 9 m, 11~14 m scale and the 15 m, 42~45 m scale, the DW of small and medium DBH were significantly negatively associated with Large trees (DBH≥25 cm). In conclusion, the biological traits, diameter class distribution and spatial distribution affected the abundance and diameter class distribution of DW of one species. The spatial distributions of DW and the associations between DW and standing trees varied across diameter classes and scales. Rational utilization of spatial information could optimize stand structure and promote positive community succession.
Keywords: Deforestation and forest degradation, Sustainable forest management, Adaptive and integrated management
ID: 3618474
