The breeding biology of endemic Spectacled Parrotbill (Sinosuthora conspicillatus) in Lianhuashan National Nature Reserve, Gansu Province, China View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Lijun Chen, Lei Zhu, Yunbiao Hu, Pengfei Liu, Nan Lyu, Yuehua Sun

ABSTRACT

Life history traits play critical roles in population survival and evolution. Breeding information should be particularly detailed in order to provide significant insights into the population status and the evolution of other traits. To our knowledge, there is still no information about the breeding biology of Spectacled Parrotbill (Sinosuthora conspicillatus), an endemic parrotbill in China. We searched the nests, checked all nests found and recorded the information of eggs, nestlings and nest sites of the Spectacled Parrotbill from 2013 to 2015 at Lianhuashan National Nature Reserve in Gansu Province, China. A total of 16 nests were found. Nest trees were artificial young spruces and honeysuckles. Mean nest height was 0.89 ± 0.47 m (n = 16) above the ground level. All nests were cup-shaped and constructed using leaves, fine strips of barks and grasses by both parents. The mean clutch size was 4.42 ± 0.79 (n = 12). The eggs were oval in pale blue without speckles, and the mean egg mass was 1.25 ± 0.07 g (n = 27). The egg length was 15.56 ± 0.46 mm (n = 27) and the width was 12.46 ± 0.29 mm (n = 27). Incubation period was 13 days and nestling period was 13–14 days. The breeding success rate was 46%, and among those failed nest, 71% were depredated and 29% were deserted. Detailed life history information about parrotbill is still limited. The breeding biology of Spectacled Parrotbill reported in the present study should be helpful for further research about population, breeding behavior and conservation of this bird. More... »

PAGES

5

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URI

http://scigraph.springernature.com/pub.10.1186/s40657-018-0097-6

DOI

http://dx.doi.org/10.1186/s40657-018-0097-6

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https://app.dimensions.ai/details/publication/pub.1100896854


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