scholarly journals Ontogenetic Structure and Temporal Patterns of Summer Ichthyoplankton in Upper Course of the Xijiang River, SW China

Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 703
Author(s):  
Minghui Gao ◽  
Zhiqiang Wu ◽  
Xichang Tan ◽  
Liangliang Huang ◽  
Jie Feng ◽  
...  

The summer ichthyoplankton characteristics in the Laibin section of the Xijiang River were analyzed based on a survey during summer 2017. The ontogenetic structure and temporal patterns of ichthyoplankton and the correlation between environmental parameters and the temporal patterns were investigated. A total of 10,665 eggs and 447 larval belonging to four orders, ten families, and 28 species were collected. According to the flood regime, summer is divided into three periods (pre-flood, flood period, and post-flood). Ichthyoplankton proved to be heterogeneous between periods in summer with differences in the composition and abundance. The assemblages were distinguished by multiple analytical tools, and presented a chronological pattern of marked variability in composition of the species between the periods, and under the strong influence of flood. The assemblages were mainly represented by eggs of S. wui Fang and S. robusta in the pre-flood period, S. argentatus and S. macrops in the flood period, and H. leucisculus and S. curriculus in the post-flood period, while, the larval occurred mainly in the flood period. Understanding these temporal patterns of the upper course of the Xijiang River is useful for the recruitment of fish resources and conservation of fish community diversity.

2014 ◽  
Vol 74 (2) ◽  
pp. 997-1005 ◽  
Author(s):  
Shi Yu ◽  
Wenyue Du ◽  
Pingan Sun ◽  
Shiyi He ◽  
Yiming Kuo ◽  
...  

2017 ◽  
Vol 554 ◽  
pp. 434-450 ◽  
Author(s):  
Fei Yuan ◽  
Chongxu Zhao ◽  
Yong Jiang ◽  
Liliang Ren ◽  
Hongcui Shan ◽  
...  

2015 ◽  
Vol 77 (3) ◽  
pp. 1655-1677 ◽  
Author(s):  
Zhiyong Wu ◽  
Qingxia Lin ◽  
Guihua Lu ◽  
Hai He ◽  
John J. Qu

2019 ◽  
Vol 26 (9) ◽  
pp. 9089-9098 ◽  
Author(s):  
Lianthuamluaia Lianthuamluaia ◽  
Puthiyottil Mishal ◽  
Debabrata Panda ◽  
Uttam Kumar Sarkar ◽  
Vikash Kumar ◽  
...  

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2106
Author(s):  
Xingchen Ding ◽  
Weihong Liao ◽  
Hao Wang ◽  
Xiaohui Lei ◽  
Wei Zhang ◽  
...  

Climate change leads to the increase of frequency and intensity for extreme precipitation events, potentially threatening the development of our society. It is of great significance to study the spatiotemporal variation of precipitation for understanding cycle process of water and its response to global warming. This paper selects the Xijiang River basin, which locates on a low latitude and coastland, as the research area. The spatiotemporal distribution and homogeneity of precipitation are analyzed, and the spatial trend is studied using 12 extreme precipitation indices. Finally, chaotic characteristics are evaluated for daily precipitation. The results showed that the precipitation in the basin tended to be unevenly distributed. On wet days, precipitation in the middle and the west was more and more uniform. The proportion of tiny rain was the largest, between 33.5% and 41.3%. The proportion of violent rain was the smallest, between 0.1% and 4.7%. Duan had the highest frequency for violent rain, and the probability of disasters caused by extreme precipitation near the station was the highest. The simple daily intensity index (SDII) showed a significant increase in the middle and the northeast. PRCPTOT (annual total wet-day precipitation) showed a decreasing trend in the northwest. The average rates of variation for R95PTOT (precipitation on very wet days) and R99PTOT (precipitation on extremely wet days) were −0.01 mm/year and 0.06 mm/year, respectively. There might be a risk of drought on the west of the basin in the future. Precipitation in other locations was still relatively abundant. Daily precipitation showed high dimension and high chaotic characteristics. The MED (minimum embedding dimension) was between 11 and 30, and the MLE (largest Lyapunov exponent) was between 0.037 and 0.144.


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