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云冷杉天然次生林死木分布格局及空间关联性
引用本文:陈科屹,张会儒,张博,何友均. 云冷杉天然次生林死木分布格局及空间关联性[J]. 应用生态学报, 2021, 32(8): 2745-2754. DOI: 10.13287/j.1001-9332.202108.003
作者姓名:陈科屹  张会儒  张博  何友均
作者单位:1.中国林业科学研究院林业科技信息研究所, 北京 100091;2.中国林业科学研究院资源信息研究所, 北京 100091;3.北京林业大学森林资源和环境管理国家林业局重点实验室, 北京 100083
基金项目:国家重点研发计划项目(2017YFC0504101)资助
摘    要:为揭示天然次生林群落演替规律,以吉林省汪清林业局金沟岭林场的云冷杉天然次生林为对象,采用相邻网格法调查样地(100 m×100 m)内每株林木(DBH≥1 cm)的基本特征及坐标位置,研究死木的分布格局及空间关联性.结果 表明:死木的径级分布呈左偏单峰山状分布,其中枯倒木呈多峰山状分布;各树种的死木株数与该树种的总株数...

关 键 词:分布格局  空间关联  树种隔离  死木  云冷杉林
收稿时间:2021-01-16

Spatial distribution and associations of dead woods in natural spruce-fir secondary forests
CHEN Ke-yi,ZHANG Hui-ru,ZHANG Bo,HE You-jun. Spatial distribution and associations of dead woods in natural spruce-fir secondary forests[J]. The journal of applied ecology, 2021, 32(8): 2745-2754. DOI: 10.13287/j.1001-9332.202108.003
Authors:CHEN Ke-yi  ZHANG Hui-ru  ZHANG Bo  HE You-jun
Affiliation:1.Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China;2.Research Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing 100091, China;3.State Forestry Administration Key Laboratory of Forest Resources and Environmental Management, Beijing Forestry University, Beijing 100083, China
Abstract:To reveal the community succession rule of natural secondary forest, 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 examined the distribution pattern and spatial associations of dead woods in a natural spruce-fir secondary forest in Jingouling Forest Farm, Wangqing Forestry Bureau, Jilin Province, China. The results showed that the diameter class distribution of dead woods showed the pattern of left single-peak curve, while the logs showed the pattern of multi-peak curve. The relationship between the abundance of dead woods and the standing individuals of a particular species was inconsistent. There was a significant negative exponential relationship between the number of dead woods and mixing degree of trees. The distribution of dead woods was concentrated at the 0-8 m scale. With the increases of scale, it gradually changed to random or uniform, with the random distribution being dominant. The aggregation distribution of dead woods with middle (10 cm≤DBH<20 cm) and small (1 cm≤DBH<10 cm) DBH was the main reason for the aggregation distribution of dead woods at small scale below 8 m. The spatial associations between dead woods and stan-ding trees at different diameter classes were significantly different. The relationship between dead woods and saplings (1 cm≤DBH<5 cm) was closely correlated. The dead woods with large DBH and saplings showed a significant positive association at 2-25 m scale. There was no spatial association between dead woods and small trees (5 cm≤DBH<15 cm). At the 0-3 m scale, there was a positive association between the middle trees (15 cm≤DBH<25 cm) and dead woods of small and middle DBH. At the 9, 11-14 and 15, 42-45 m scales, dead woods of small and middle DBH were significantly negatively associated with large trees (DBH≥25 cm). In conclusion, biological traits, diameter class distribution, and spatial distribution affected the abundance and diameter class distribution of dead woods. The species with low mixing degree tended to have more dead woods. The diameter and scale would affect the spatial distribution of dead woods. The spatial correlation between dead woods and standing trees varied across diameter classes and scales.
Keywords:distribution pattern  spatial association  spatial isolation of species  dead wood  spruce-fir forest  
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