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Effects of Nitrogen Addition on Soil Organic Carbon and Soil Respiration in Subtropical Evergreen Broad-Leaved Forest
SU Zirui, ZENG Faxu, ZHENG Chengyang
Acta Scientiarum Naturalium Universitatis Pekinensis    2022, 58 (3): 517-525.   DOI: 10.13209/j.0479-8023.2022.017
Abstract539)   HTML    PDF(pc) (1457KB)(108)       Save
In order to simulate changes in natural nitrogen deposition and explore the effects of nitrogen addition on soil organic carbon and soil respiration, four treatments (CK (control), N50 (50 kg/(hm2·a) of N), N100 (100 kg/(hm2·a) of N) and N150 (150 kg/(hm2·a) of N)) were conducted in a subtropical evergreen broad-leaved forest in Wuyi mountain, Fujian Province. The results showed that the effect of nitrogen addition on the TOC of the surface soil (0–20 cm) was not significant, and the effect on the content of its different components is different. Compared to the CK, N100 and N150 significantly increased the soil POC content by 110.7% and 147.9% (p1 = 0.024, p2 <0.001). The content of soil MAOC tended to decrease with the increase of nitrogen addition, but the difference was not significant. The annual dynamic of soil respiration rate was unimodal distribution, and nitrogen treatments had different effects on soil respiration in different observation time. Based on fitting equations of soil respiration rate and soil temperature, the annual average carbon efflux of soil respiration in CK, N50, N100, and N150 plots from 2018 to 2020 were 1205.31, 1191.56, 1287.56 and 1128.61 g C/m2, respectively. Compared to the CK, annual average carbon efflux of soil respiration did not change significantly in N50, significantly increased by 6.82% in N100 (p<0.001), and significantly reduced by 6.8% in N150 (p<0.001), which meaned that N100 promoted annual carbon efflux from soil respiration, while N150 had an inhibitory effect on it.
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Seasonal Dynamic Changes of Non-structural Carbohydrate in Tissues of Picea mongolica in Baiyinaobao
WANG Yiran, ZHENG Chengyang, ZENG Faxu
Acta Scientiarum Naturalium Universitatis Pekinensis    2016, 52 (5): 967-976.   DOI: 10.13209/j.0479-8023.2016.062
Abstract1455)   HTML    PDF(pc) (779KB)(796)       Save

To understand seasonal dynamic of non-structural carbohydrate (NSC) in evergreen conifers, the authors analyzed the soluble sugar, starch and NSC content of leaf, branch, bark and root system of Picea mongolica from April to October. The results indicate that starch abundance in different organs of Picea mongolica reach the highest point in May, then decrease gradually and maintain at a low level from August to October. This might be reasoned that germination required starch is accumulated through photosynthesis from April to May. The soluble sugar content is slight low in May, raise gradually and reach the highest point in October. However, starch accumulated during the growth season may not account for soluble sugar increment in winter. No significant correlation is detected between Picea mongolica different organs’ starch, soluble sugar, and NSC content to monthly mean temperature and precipitation.

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Geographic Patterns of Avian Species Richness in China and Their Environmental Factors
LIU Che,ZHENG Chengyang,ZHANG Teng,ZENG Faxu,WANG Yiran
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract1086)      PDF(pc) (3574KB)(882)       Save
Based on published distribution data and environmental and geographical factors, the authors discussed the geographic patterns of species richness of Aves and its taxa in China. Results show that the avian species richness in China exhibited latitudinal gradients that decreased as latitude increased but the correlation was weak, which was proved by linear regression. The hotspots of species richness included Khingan Mountain Ranges, lower reaches of the Yangtze River, Wuyishan, Xishuangbanna, West Tianshan, Southeast Himalayas to Hengduan Mountains, etc. Low species richness territories included most areas of Qinghai-Tibet Plateau, some areas on the south of the Yangtze River, etc. Several factors, including EVI, annual mean temperature and annual mean precipitation, with high Spearman Correlation demonstrated a complex multi-factor machanism determining the geographic patterns of species richness. According to factor analysis, the principal components included energy, elevation range, temperature evenness, and the distance to the nearest large waterbody.
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