黑龙江科学2024,Vol.15Issue(24) :109-112.

长汀水土流失区生态恢复过程中马尾松种群空间格局分析

Spatial Pattern Analysis of Pinus massoniana Population During Ecological Restoration in Changting Soil Loss Area

腾渝 肖世平 范政彬
黑龙江科学2024,Vol.15Issue(24) :109-112.

长汀水土流失区生态恢复过程中马尾松种群空间格局分析

Spatial Pattern Analysis of Pinus massoniana Population During Ecological Restoration in Changting Soil Loss Area

腾渝 1肖世平 1范政彬1
扫码查看

作者信息

  • 1. 福建师范大学地理科学学院碳中和未来技术学院,福州 350117
  • 折叠

摘要

种群空间格局是植物种群生物学特性对环境条件长期适应和选择的结果.分析生态恢复过程中先锋树种的分布格局,对认识种分布特征变化及其潜在机制等具有重要意义.在福建省长汀县设置3个具有不同恢复水平的样地,通过实地调查并计算种群空间格局指数,分析马尾松在恢复过程中的空间分布特征变化.结果表明,马尾松种群在整体上仍以均匀型分布为主,但不同的恢复阶段均匀性与聚集强度在不断变化;马尾松种群在不同生活史阶段的分布类型不尽相同,小树为聚集型分布,中树与大树虽以聚集型分布为主,但随着生态恢复程度的增加逐渐转变为均匀型分布类型.

Abstract

Population spatial pattern is the result of long-term adaptation and selection of plant population biological characteristics to environmental conditions.The study analyzes the distribution pattern of pioneer tree species in the process of ecological restoration.It is of great significance for knowing the change of species distribution characteristics and its potential mechanism.Then the study establishes 3 plots with different recovery levels in Changting County,Fujian Province;and analyzes the changes of spatial distribution characteristics of Pinus massoniana in the recovery process through field investigation and calculation of population spatial pattern index.The results show that on the whole,the distribution of Pinus massoniana population is still homogeneous,but the uniformity and aggregation intensity change continuously at different recovery stages.The distribution types of Pinus massoniana population in different life history stages are different.Small trees are clustered,while middle and large trees are mainly clustered,but gradually change to uniform distribution type with the increase of ecological restoration.

关键词

马尾松种群/空间分布格局/生态恢复/长汀县

Key words

Pinus massoniana population/Spatial distribution pattern/Ecological restoration/Changting County

引用本文复制引用

出版年

2024
黑龙江科学
黑龙江省科学院

黑龙江科学

影响因子:1.014
ISSN:1674-8646
段落导航相关论文