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新疆阜康地区家麻雀巢址的空间分布格局及其影响因素

胡逸萍1,黄佳亮1,霍娟1,杨灿朝1,马鸣2,梁伟1*   

  1. (1热带动植物生态学省部共建教育部重点实验室, 海南师范大学生命科学学院,  海口 571158;  2中国科学院新疆生态与地理研究所,  乌鲁木齐 830011)
  • 出版日期:2016-01-10 发布日期:2016-01-10

Nest site distribution pattern of house sparrows (Passer domesticus) in Fukang, Xinjiang, Northwest China: The role of food abundance and inter-specific competition.

HU Yi-ping1, HUANG Jia-liang1, HUO Juan1, YANG Can-chao1, MA Ming2, LIANG Wei1*   

  1. (1Ministry of Education Key Laboratory for Tropical Plant and Animal Ecology, College of Life Sciences, Hainan Normal University, Haikou 571158, China; 2Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)
  • Online:2016-01-10 Published:2016-01-10

摘要: 2013年和2014年5—7月,在新疆阜康地区,对家麻雀(Passer domesticus)巢址的空间分布格局和种群繁殖密度进行了调查,对影响其巢址空间分布的生态因子进行了分析。结果表明:家麻雀在研究区内为优势鸟种,平均种群繁殖密度为299.8±163.6只·km-2;其中,在白杨(Populus tomentosa)防护林中的种群繁殖密度最高,达491.9±87.8只·km-2;家麻雀在研究地区巢址的空间分布距离指数I=4.77,为集聚分布格局;农田、防护林带以及荒漠伯劳(Lanius isabellinus)的巢址分布对家麻雀巢址的空间分布格局和巢址利用具有重要影响;影响家麻雀巢址分布格局的主要生态因子是食物资源利用和种间巢址竞争。

关键词: 二阶矩变异, 综合历时曲线法, 非一致性, 枯水期, 水文分析与计算, 最低通航水位

Abstract: Spatial distribution pattern of nest sites of house sparrows (Passer domesticus) in Fukang, Xinjiang, Northwest China, was investigated during the breeding season from 〖JP3〗May to July during 2013-2014. The breeding population density of house sparrow was 299.8±163.6 birds·km-2, with the highest density of 491.9±87.8 birds·km-2 in the forest dominated by trees Populus tomentosa. A total of 75 house sparrow nests were found, with the distance index of spatial distribution (I) being 4.77. The nest site distribution pattern of house sparrows in Fukang were clumped in farmland and forest. Our results suggested that food abundance, inter-specific competition and potential predation by rufous-tailed shrike (Lanius isabellinus) might play a key role in nest distribution pattern and nest-site selection of house sparrows.

Key words: inconsistency, lowest navigable water level, hydrological analysis and calculation, dry seasons, second-moment variability., synthetic duration curve design method