生物多样性 ›› 2008, Vol. 16 ›› Issue (3): 305-312.DOI: 10.3724/SP.J.1003.2008.07213

• 论文 • 上一篇    

安徽省繁殖鸟类分布格局和热点区分析

张有瑜, 周立志*(), 王岐山, 王新建, 邢雅俊   

  1. 安徽大学生命科学学院生物多样性与湿地生态研究所, 安徽省生态工程与生物技术重点实验室, 合肥 230039
  • 收稿日期:2007-08-16 接受日期:2007-12-12 出版日期:2008-05-20 发布日期:2008-05-20
  • 通讯作者: 周立志
  • 作者简介:*E-mail:zhoulz@ahu.edu.cn
  • 基金资助:
    国家自然科学基金(30470257);安徽大学人才培养基金项目;安徽省林业厅野生动物保护专项项目;安徽省环保局物种调查项目

Distribution pattern and hotspot analysis of breeding birds in Anhui Province

Youyu Zhang, Lizhi Zhou*(), Qishan Wang, Xinjian Wang, Yajun Xing   

  1. Institute of Biodiversity and Wetland Ecology, School of Life Science, Anhui University;Anhui Key Laboratory of Ecological Engineering and Biotechnology, Hefei 230039
  • Received:2007-08-16 Accepted:2007-12-12 Online:2008-05-20 Published:2008-05-20
  • Contact: Lizhi Zhou

摘要:

作者广泛收集了安徽省繁殖鸟类的分布资料, 采用地理信息系统技术, 通过生境适宜性分析, 预测物种的分布范围, 获得数字化的分布图。将安徽省划分为425个等面积栅格, 以此作为基本地理单元, 研究繁殖鸟类分布规律, 并进行热点区分析。基于分布型物种数的地理单元聚类分析结果表明, 安徽省鸟类地理分布区大致以大别山北缘–巢湖一线为界分为两大组, 两组在区系成分上存在较大的区域分异; 东洋型物种在整个安徽境内比例均占60%以上, 同时呈现由北向南递增的格局。基于物种组成的相似性的地理单元聚类分析结果表明, 安徽省繁殖鸟类地理分布单元也可以分成两组, 与安徽省气候带的划分基本一致, 进一步分析可以划分为7组, 体现鸟类地理分布的区域分异与地形地貌等生态环境之间的密切联系。鸟类热点区分析表明, 所有繁殖鸟类, 以及列入《国家重点保护野生动物名录》和CITES附录I、II的繁殖鸟类物种丰富度高值区都集中在安徽省南部。由此可见, 安徽省南部地区是鸟类多样性保护的重要区域。

关键词: 物种分布型, 物种丰富度格局, 聚类分析, 分布区预测, 热点区分析

Abstract

We collected data on breeding birds in Anhui Province, and predicted and mapped their ranges using GIS techniques. We divided the study area into 425 grids which were used as operative geographic units to analyze breeding bird distributional patterns and hotspot. Faunistic composition analysis showed that geographic units in Anhui Province could be divided into two groups along a boundary from northern Dabie Mountain to Chaohu Lake. Indomalayan species accounted for 60% of the total species in all geographic unit groups, with an increase in the group’s prevalence from north to south. Ecological distribution analysis showed that bird distribution units could be divided into two groups which were consistent with division by climatic zones. When divided into seven groups, clusters were closely related to the environmental features such as terrain and landform. The hotspot analysis showed that richness of total breeding birds, breeding birds in the “List of Wildlife Under Special State Protection” of China, and breeding birds listed in CITES appendices I and II were all higher in southern Anhui Province. Therefore, we suggest that areas in southern Anhui Province should be targeted for special protection for bird diversity conservation.

Key words: species range type, species richness pattern, cluster analysis, distribution prediction, hotspot analysis