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新疆天山云杉林群落结构及森林凋落物研究.pdf

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新疆天山云杉林群落结构及森林凋落物研究.pdf

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新疆天山云杉林群落结构及森林凋落物研究.pdf

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文档介绍:IIStudy on munity structure and Litter falls in the Picea schrenkiana forestAbstract Establishing long-term monitoring of forest biodiversity plot is the primary means of ecological research. Currently on forest biological diversity studies of long-term monitoring mainly concentrated in tropical regions, while the study for the temperate coniferous forest is still relatively rare. For the purpose of long-term monitoring dynamics of tree populations, a 6hm2Piceaschrenkiana plot was established in the western Tianshan Mountain. All free-standing trees with DBH(diameter at breast height)≥1 cm were tagged,mapped,measured and identified to species in the plot. This paper aims to give some basic informations for the plot and lay the foundation for future work. The first sample plot survey showed that: there were 1460 woody plant individuals belonging to 7species,7genera and 5families. The number of live individuals was 1292,dead tree was 168. At genus level,the results of floristic characteristics indicated that all the species were temperate elements. postion had obvious dominant species which was Piceaschrenkiana. The diameter structure of Picea schrenkiana and Betula tianschanica tended to be normal distribution. There were 17 species of herbs, belonging to 17 genera and 15 families, temperate elements was the position. The top five Important value species were:Aegopodium alpestre、Impatiens parviflora、Rumex confertus、Stellaria soongarica、Dryopteris filix-mas. Choosing heterogeneous Poisson process null model and using an analytical point pattern method L (r) function and O-ring statistics, this study examined the spatial distribution and their relevance of the major populations of Picea schrenkiana and Betula tianschanica. The results showed that: The individuals of Picea schrenkiana and Betula tianschanica presented mainly as a cluster distribution. The maximum congregate scales of Betula tianschanica were less than Picea schrenkiana,but the maximum