种群分布格局的各向异性分析  

Anisotropy Analyses of Population Distribution Pattern

作　　者：王本洋[1] 余世孝[1] 王永繁[1] 

机构地区：[1]中山大学生命科学学院,广东广州510275

出　　处：《中山大学学报（自然科学版）》2006年第2期83-87,共5页Acta Scientiarum Naturalium Universitatis Sunyatseni

基　　金：国家自然科学基金资助项目(30370254)

摘　　要：由于缺少简洁有效的分析方法,目前对植被空间格局各向异性特征研究的报道很少。该文提出基于数据重采样技术并结合R ip ley s L指数进行种群格局各向异性分析的新思路,并在ArcV iew G IS技术平台上,对广东省黑石顶自然保护区针阔叶混交林中的马尾松Pinus massoniana种群分布格局的各向异性特征进行实例研究。结果表明,马尾松种群分布格局具有典型的各向异性特征,在不同方向上表现不同的分布格局。实例研究表明,通过数据重采样技术在典型方向上的取样过程解决现有格局分析方法中缺少方向参数的问题,是进行种群格局各向异性分析的有效途径,具有一定的实用性。Direction-dependence, or anisotropy, of spatial distribution pattern of vegetation are rarely explored, due to neglecting at this ecological phenomenon and a paucity of methods dealing with this issue. The paper proposes a new approach of anisotropy analysis of spatial distribution pattern of plant populations based on the data resampling technique combining Ripley＇s L index. On ArcView GIS platform, a case study was carried out on population of Pinus massoniana, which was selected from a needle and broad-leaved mixed forest community of Heishiding Nature Reserve, Guangdong Province. The results showed that spatial pattern of P. massoniana population was typically anisotropic, with different pattern in different directions, and that the data resampling technique was an effective approach to anisotropy analysis of spatial pattern of plant populations, by employing resampling sub-datasets from original dataset in different directions, which avoided difficulty in direct use of currently non-angular methods of pattern analysis.

关 键 词：种群 空间分布格局 各向异性分析 数据重采样技术 Ripley’s L指数 

分 类 号：Q948.15[生物学—植物学]