Biodiv Sci ›› 2019, Vol. 27 ›› Issue (1): 13-23.

• Original Papers •

### Seasonal variation in the distribution of Elliot’s pheasant (Syrmaticus ellioti) in Gutianshan National Nature Reserve

Ren Peng1,Yu Jianping2,Chen Xiaonan2,Shen Xiaoli3,Song Xiao1,Zhang Tiantian1,Yu Yongquan2,Ding Ping1,*()

1. 1 College of Life Sciences, Zhejiang University, Hangzhou 310058
2 Center of Ecology and Resources, Qianjiangyuan National Park, Kaihua, Zhejiang 324300
3 State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093
• Received:2018-07-15 Accepted:2018-10-12 Online:2019-01-20 Published:2019-03-15
• Contact: Ding Ping

Abstract:

Here we studied the seasonal variation in the distribution pattern of Elliot’s pheasant (Syrmaticus ellioti) in Gutianshan National Nature Reserve, in Zhejiang Province, China. From May 2014 to April 2016, Elliot’s pheasants were monitored with camera traps as part of the grid monitoring system. Elliot’s pheasants were detected in 44 1 km × 1 km survey blocks, 211 independent times. The observed sex ratio was F : M = 1 : 1.64. These results showed that Elliot’s pheasant is mainly distributed in the buffer and experimental zones. Within the reserve, the detection rate of Elliot’s pheasant decreased over the gradient from mixed evergreen and deciduous broad leaf forest, Cunninghamia lanceolata forest, mixed coniferous and broad leaf forest to artificial Camellia oleifera forest and evergreen broad leaf forest. Elliot’s pheasant mainly lived at altitudes of 600-800 m. In winter and spring, their activity intensity was lower and the active area of Elliot’s pheasant was relatively smaller compared with the summer and autumn. In short, the distribution between altitudinal intervals (F4,12 = 3.76, P < 0.05) and seasons (F3,12 = 3.34, P < 0.05) differed significantly. Performing a regression analysis on altitudinal intervals and climatic factors showed that the daily average temperature and altitudinal intervals both significantly influenced the presence of Elliot’s pheasant (P < 0.01). Both the monthly detection rate of Elliot’s pheasant and the altitude at which Elliot’s pheasant was detected had a significant positive correlation with the monthly mean temperature (P < 0.001), but had no significant linear relationship with the monthly mean rainfall (P > 0.05). These results showed that the presence of Elliot’s pheasant was largely influenced by altitude and temperature. Elliot’s pheasants tended to move to higher altitude as the average monthly temperature increased. According to the results of model selection and multimodel inference, the optimal model only included by the variable “source of water within 100 meters”, and the suboptimal model was “source of water within 100 meters × altitude”, with weights of 0.18 and 0.14. This means that “source of water within 100 meters” and “altitude” were important factors affecting the distribution of Elliot’s pheasant, whose importance values were 0.82 and 0.51, respectively. Overall, the distribution of Elliot’s pheasant was determined by various environmental variables, rather than one and/or several environmental variables. In addition, the changes in temperature and the range of altitudinal intervals led to the differing seasonal distribution pattern of Elliot’s pheasant.

http://jtp.cnki.net/bilingual/detail/html/SWDY201901003