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Breeding ecology and behavioral rhythm of brown-cheeked laughing thrushes (Garrulax henrici) in Linzhi, Tibet, China.

GAO Hong-mei1,2, WANG Zhong-bin2, YU Jing-jing2, YANG Xiao-lin2, ZONG Cheng1,2*#br#   

  1. (1College of Wildlife Resource, Northeast Forestry University, Harbin 150040, China; 2Tibet Agriculture and Animal Husbandry College, Linzhi 860000, Xizang, China)
    .
  • Online:2017-07-10 Published:2017-07-10

Abstract: The browncheeked laughing thrush (Garrulax henrici) is endemic to China, and little work on its breeding biology has been done. From April to July of 2016, we investigated the breeding ecology of Garrulax henrici on the campus of Tibet Agriculture and Animal Husbandry College in Linzhi, Tibet. The behaviors during courtship period were observed by instantaneous scanning method, and behavioral rhythms of incubation and brooding period were monitored by infrared cameras. The results showed that 75.0% of the Garrulax henrici nests were built in conifers, 12.5% in deciduous trees, 8.3% in shrubs, and 4.2% in Poaceae plant. The clutch size was 2-3, egg length 29.6±0.4 cm, width 20.3±0.17 mm, weight 6.66±0.12 g. Nesting success rate was 86.7%, hatching success rate 60%, reproductive success rate 43.3%, and the factors impacting reproductive success were human disturbance and predation. In courtship period the foraging behavior percentage of G. henrici was 32.03% and moving was 29.27%. G. henrici had peak time for foraging, moving and singing in morning, and spent more time on resting in afternoon. The main behavior during incubation period was sitting in nest and incubation, accounting for 85.31% of total time and eggturning accounting for 5.02%. The behaviors in brooding period were mainly clearing up nest (39.74%) and sitting in nest (35.92%), and the mean feeding frequency was 2.95 times per hour. Feeding of G. henrici was mainly done by single female or male rather than by parents simultaneously.

Key words: urban center, potential assessment, Nanjing City, green facade, computational fluid dynamics (CFD)