The dynamics and characteristics of population patterns in the vegetation succession process are rarely explored. Scale, pattern and process of ecological succession are three intertwined concepts in modern ecology. Succession research will inevitably involve scale and pattern analyses. Species spatial patterns and interspecific associations at any scale can be analyzed based on point pattern analysis with spatial mapped points of individuals忆 distribution. Therefore, it is suitable to discuss the relationships between species pattern in the vegetation succession process which have attracted much attention from ecologists. The aim of the present work is to study the spatial pattern formation and relative importance of intra and interspecific competition in dominant tree species of cold temperate coniferous forest in the vegetation succession process in the Pangquangou Nature Reserve. The selected forest communities were treated as a time series of successional stages for the traditional space鄄for鄄time succession approach by applying the point pattern analysis.
Wulu Mountain Nature Reserve is located between the western margin of the North China Plain and the eastern margin of the Loess Plateau, and shows distinct transitional vegetation types and high species richness. Thus the reserve has an important role to play in plant biodiversity research. In the present study we investigated the plant species distribution along an altitudinal gradient in the Wulu Mountain Nature Reserve in October, 2010. The vegetation zones and dominant species in each community changed with increasing elevation, and a combination of rainfall and temperature determined the major communities in the forests. The plant communities were classified as Robinia pseudoacacia forest, Pinus bungeana forest, mixed conifer鄄broadleaf forest, and Quercus liaotungensis forest. We investigated the species composition of plant communities in different plots to discern patterns of species diversity and distribution along the altitudinal gradient. We calculated 琢diversity, 茁鄄diversity and 酌鄄diversity using the data collected from the study plots and analyzed with a generalized additive model to examine the following relationships: 1) changes in the total number of trunks and diameter at breast height in all forest plots along the altitudinal gradient; 2) species richness in the tree, shrub and herbaceous layers with altitude; 3) the Shannon鄄Wiener diversity index for the tree, shrub and herbaceous layers with altitude; 4) Pielou忆s evenness index for the tree, shrub and herbaceous layers with altitude; 5) 茁鄄diversity for the tree, shrub and herbaceous layers with altitude; 6) 酌鄄diversity with altitude; and 7) the relationships of grass species richness with total number of trunks and diameter at breast height in all forest plots. The results showed that total number of trunks and diameter at breast height in all forest plots increased with the increase in elevation. Species richness, the Shannon鄄Wiener diversity index and
The Wulu Mountains, a part of the Luliang Mountain Range, are situated at 36毅23忆45义-36毅38忆20义N, 111毅 08忆-111毅18忆E in western Shanxi Province, China. This area has a warm鄄temperate continental monsoon climate with abundant plant resources and high biodiversity. Appropriate conditions for the growth of Pinus bungeana Zucc. ex Endl. are limited within the Wulu Mountains which include only a part of the overall range of P. bungeana. Therefore, building nature reserves in which P. bungeana can be studied systematically is important both ecologically and academically, with the goal of studying this species in its warm temperate north China climate so it can be preserved in natural forests indefinitely. Interspecific relationships are an important factor affecting community composition, structure, function and dynamics. Interspecific segregation refers to the relative distributions of two or more related species. It reflects the degree of mixing of two species based on their interrelationships. For example, the less two species mix, the higher the degree of interspecific
Functional diversity has been a hot topic in biodiversity research in recent years. addresses a wide range of important ecological questions while linking species and ecosystems through mechanisms such as complementary resource use and mutualism. Understanding plant functional diversity as a component of biodiversity is important understanding the link between ecosystem function and biodiversity. However, the concept itself remains rather ambiguous because of questions that remain related to defining, measuring, and assessing the performance of functional diversity. In view of the extensive literature on this topic, we systematically define functional diversity and subsequently introduce and compare six methods of measuring functional diversity. We selected 13 functional traits of various species: seed dispersal, pollination methods, plant height, coverage, vegetation type (such as herb, shrub, or tree) , leaf shape, blade hardness, length of the flowering period, flowering period, fruit type, fruit shape, fruit ripening period, vegetation was stabbed. We used measures of thse traits to calculate six functional diversity indices: functional attribute diversity, modified functional attribute diversity, convex hull hyper鄄volume, functional evenness, quadratic entropy, and functional dispersion, combined with a community species richness indexthe Shannon鄄Wiener index and a species evenness index. unctional diversity of tree and shrub layers studied in the Wulu Mountains National Nature Reserve in Shanxi, China. The study had two goals: to explore the relationship between species and functional diversity and to analyze characteristics of currently used functional diversity
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.