摘要
在生态位理论中,生态位分化被认为是影响物种共存的重要机制,生态位分化预期群落中不同的物种对环境因子有不同的响应方式。该文利用巴拿马的BCI 50 hm^(2)大样地的数据,分析80 m×80 m尺度上5个影响重要的地形因子和样地中多度最大的4组不同类型的物种组多度之间的关系。为了提高数据分析的可靠性,该文提出了一种样方划分过程中校正边缘效应的方法,通过考虑边缘个体面积在相邻样方中的面积比例,将个体按面积比例分配到相邻样方中。结果表明,5个地形因子在很大程度上影响着物种在群落中的多度,不同类型的物种对这5个地形因子表现出不同的响应方式,与生态位理论的预测结果相吻合。对比传统的样方划分方法和校正边缘效应后的结果,认为校正边缘效应后模型拟合效果明显提高。
In the ecological niche theory,niche differentiation is considered an important mechanism affecting species coexistence.Niche differentiation predicts that different species in a community will have varying responses to local environmental factors.In this study,the relationship between five important topographic factors and the abundance of the four most abundant groups of different types of species were analyzed by using open-access data from the Barro Colorado Island(BCI)50 hm^(2) plot in Panama,which were classified depending on their phylogenetic distance,at a scale of 80 m×80 m.To enhance the reliability of data analysis,we proposed a method for correcting edge effects during subplot division.Specifically,an individual near or on the subplot boundaries was proportionally allocated to these subplots based on the projected area of its canopy.We found that the five topographic factors significantly influenced species abundance within the community,and different types of species exhibit varied responses to these factors,consistent with predictions from ecological niche theory.Comparison of traditional quadrat division methods with our results after correction of edge effects revealed a marked improvement in model fitting.
作者
黄皇雄
郑毅
HUANG Huangxiong;ZHENG Yi(Chukou State-owned Forest Farm,Zixing City,Zixing 423405,Hunan,China;South China Botanical Garden,Chinese Academy of Sciences,Guangzhou 510650,China)
出处
《热带亚热带植物学报》
北大核心
2025年第4期428-436,共9页
Journal of Tropical and Subtropical Botany
关键词
大型样地
谱系距离
生境异质性
生态位分化
Large-scale plot
Phylogenetic distance
Habitat heterogeneity
Ecological niche differentiation
作者简介
黄皇雄(1974年生),男,主要从事群落生态学研究。E-mail:99200711@qq.com;通讯作者:郑毅.E-mail:zhengyi7@scbg.ac.cn。
