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Evaluating the Characters of Songbirds’ Vocalizations during Mobbing Event in Dark Coniferous Forest Using Bio-acoustic Indicators
WANG Jiangyue, TIAN Jia, ZHOU Zhengyang, MA Xiaoyun, LONG Yu, WANG Rongjiang, LI Sheng
Acta Scientiarum Naturalium Universitatis Pekinensis    2024, 60 (1): 118-126.   DOI: 10.13209/j.0479-8023.2023.099
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This study investigated the acoustic variation of songbirds’ vocalization during mobbing event in the sub-alpine forests using playback experiment and automatic acoustic recording (AAR). We played Glaucidium brodiei vocalization and Phylloscopus trochiloides alarm call to induce songbirds’ mobbing behavior and recorded their response vocalizations using automatic acoustic recorders in the Abies-Picea dark coniferous forest in Wanglang National Nature Reserve, Sichuan Province, during the summer of 2021. Altogether 24 experiments were performed on 12 experiment sites, with a total length of 1057 min acoustic recordings, including 12 G. brodiei vocalization experiments, and 12 P. trochiloides alarm call experiments. A total of 28 species of birds belonging to 17 families and 3 orders were observed to participate in mobbing behavior. By analyzing the acoustic indexes of recordings, it was concluded that 1) both G. brodiei vocalization and P. trochiloides alarm call could trigger mobbing event, during which Phylloscopidae and Paridae species were the majority being involved; 2) during playback period, songbirds’ vocalizations are more intense (G. brodiei experiments: SPLavg=−31.02±4.87 dB vs −42.74±4.68 dB, p = 0.001; P. trochiloides experiments: SPLavg = −33.26±4.05 dB vs −46.38±4.54 dB, p = 0.001) and less complicated (G. brodiei experiments: H = 0.76±0.02 vs 0.80±0.03, p = 0.001; P. trochiloides experiments: H = 0.77±0.02 vs 0.82±0.02, = 0.001) than that of pre-playback period; 3) the variability of acoustic indices from pre-playback to during-playback didn’t change significantly between G. brodiei experiments and P. trochiloides experiments. The results provide a new insight into avian behavior studies in the acoustic aspect, and novel behavioral application scenarios for large-scale soundscape monitoring data. 
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Development and Characterization of Polymorphic Microsatellite Markers in the Masked Palm Civet (Paguma Larvata)
WANG Di, ZHANG Dan, XIONG Mengyin, BU Hongliang, WANG Dajun, YAO Meng, LI Sheng, WANG Rongjiang
Acta Scientiarum Naturalium Universitatis Pekinensis    2021, 57 (3): 395-400.   DOI: 10.13209/j.0479-8023.2021.038
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To provide genetic tools for individual identification of the masked palm civet (Paguma larvata) through DNA analysis, we selected a tissue sample from Laohegou Nature Reserve in Sichuan for constructing microsatellite library by FIASCO. Altogether 250 clones were sequenced and 147 sequences were found containing microsatellite motifs, in which there were 42 sequences with >10 motif repeats. Primer pairs were designed based on these 42 sequences. Through tests for amplification and polymorphism using additional 21 samples of masked palm civets, 5 polymorphic microsatellite markers were obtained. In the meantime, 13 microsatellite markers published previously were tested for the masked palm civet, and found 5 of them polymorphic. Collectively, these 10 markers showed relatively high polymorphism (number of alleles was 2–11, observed heterozygosity was 0.286–0.737, and expected heterozygosity was 0.358–0.906). The values of PID and PID-sib indicated that there would be individuals with completely identical genotypes in about 10unrelated individuals or 104 related individuals. As the size of wild populations in a particular region was greatly lower than this number, these 10 microsatellite markers were sufficient for individual identification for the masked palm civet.
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Training Machine Translation Quality Estimation Model Based on Pseudo Data
WU Huanqin, ZHANG Hongyang, LI Jingmei, ZHU Junguo, YANG Muyun, LI Sheng
Acta Scientiarum Naturalium Universitatis Pekinensis    2018, 54 (2): 279-285.   DOI: 10.13209/j.0479-8023.2017.158
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Aimed at providing efficient training data for neural translation quality estimation model, a pseudo data construction method for target dataset is proposed, the model is trained by two stage model training method: pre training based on pseudo data and fine tuning. The experimental design of different pseudo data scale is carried out. The experiment results show that the machine translation quality estimation model trained by the pseudo data has significantly improved in the correlation between the scores given by human and the artificial scores.

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Common Problems and Technical Innovation of Travel Survey in Old Town: A Case Study in Qianmen Area in Beijing
ZHAO Pengjun, FENG Xiao, LI Shengxiao
Acta Scientiarum Naturalium Universitatis Pekinensis    2016, 52 (3): 486-492.   DOI: 10.13209/j.0479-8023.2015.155
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This study targets on the practical process of travel survey in Qianmen, Beijing and examines the problems derived from the survey. Their characteristics and the reasons of being generated are stated. The paper focuses on survey organization and its institutional obstacles, the survey design, survey sampling techniques, the choice and training of surveyors and the survey timing. Based on the theoretical researches, the advices towards the innovation of travel survey methods are proposed.

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Community Structure of Birds at Yanyuan, Peking University
WEN Cheng,HAN Dong,LI Sheng,SHEN Xiaoli,CHEN Wei,WANG Hao,ZHU Xiaojian,XIAO Lingyun,LIU Meiqi,Lü Zhi
Acta Scientiarum Naturalium Universitatis Pekinensis   
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From 2003 to 2012, 446 times of survey had been conducted on community structure of birds at Yanyuan, Peking University. 234 of them, on which 468 hours had been spent from 2010 to 2012, were weekly transact surveys, twice in spring and autumn while once in summer and winter. Up to 178 species, belonging to 102 genera of 37 families of 14 orders, had been recorded. Among them, there are 24 residents, 117 migrants, 24 summer visitors, 19 winter visitors and 1 vagrant. One of them is listed as the 1st class of China National Protected Wildlife, whilst 20 species as the 2nd class. 28 species of waterbirds were recorded. On different sub-regions of Yanyuan, the most species-poor one is Jingyuan, where only 28 species were recorded . The most species-rich one is Mingheyuan, where 109 species were recorded. The mosaic landscape of meandering swamps and mounds covered by semi-natural secondary forest in Mingheyuan and Jingchunyuan accommodates the richest bird community in Yanyuan. 73 species were restricted to these sites. The ratios of secondary forests and greenbelts in each sub-region are chief factors affecting the abundance of bird species.
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