摘要
应用随机分布多度模型和聚集分布多度模型,探讨不同研究尺度下物种多度和空间分布格局的关系。结果表明,预测的物种多度不仅受物种分布面积大小的影响,还受其聚集程度的影响。物种多度和空间分布格局的关系存在着明显的尺度效应,即随着研究尺度的增加,无论是随机分布多度模型还是聚集分布多度模型,通过物种空间分布格局来预测物种多度的准确度都在下降。聚集分布多度模型预测物种多度的结果要好于随机分布多度模型,这表明该区大多数物种是聚集分布的。由于物种的空间分布格局不同,不同物种多度的预测值和真实值之间的差异也不同。因此,为了进一步提高模型预测的准确性,进一步考虑不同物种的生活史特性是必要的。
By using random and aggregated distribution-abundance models, this paper studied the relationships between species abundance and distribution patterns of broad-leaved Korean pine （Pinus koraiensis ） mixed forest in Changbai Mountains of China under different spatial scales. The results showed that both species distribution area and species aggregation degree affected the estimated species abundance. Spatial scale had profound effects on the distribution-abundance relationships. With the increase of spatial scale, the accuracy of species abundance estimation by the two models all declined. Aggregated distribution-abundance model could better estimate the species abundance than random distribution-abundance model, suggesting that most species were aggregately distributed. However, due to the different species distribution patterns under different spatial scales, the differences between estimated and observed data of species abundance varied greatly. Therefore, in order to further improve the estimation accuracy of the models, the life history of different species as well as the spatial scale and species aggregation should be considered.
出处
《生态学杂志》
CAS
CSCD
北大核心
2008年第2期145-150,共6页
Chinese Journal of Ecology
基金
国家自然科学基金项目(30570306
30700093)
国家科技支撑项目(2006BAD03A09)
辽宁省陆地生态与区域安全重点实验室资助项目(06ZDS215SS)
关键词
长白山
阔叶红松林
多度
随机分布
聚集分布
Changbai Mountains
broad-leaved Korean pine mixed forest
abundance
random distribution
aggregated distribution
