2014
DOI: 10.4081/jlimnol.2014.801
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Seasonal variability of water quality and metazooplankton community structure in Xiaowan Reservoir of the upper Mekong River

Abstract: Water quality problems in the Xiaowan

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Cited by 7 publications
(10 citation statements)
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“…The values of the water quality parameters of the Chuanfang River are shown in Figure 2(a,b). The subtropical monsoon climate prevails in the Dianchi Lake basin, and the WT of the Chuanfang River, which ranged from 8 C in December 2013 to 22.7 C in July 2014 during the monitoring period, was consistent with the features of the local climate (Huang et al 2014;Wu et al 2014). Monthly changes in WT at the five sampling sites were generally similar.…”
Section: Analysis Of Water Qualitysupporting
confidence: 63%
See 1 more Smart Citation
“…The values of the water quality parameters of the Chuanfang River are shown in Figure 2(a,b). The subtropical monsoon climate prevails in the Dianchi Lake basin, and the WT of the Chuanfang River, which ranged from 8 C in December 2013 to 22.7 C in July 2014 during the monitoring period, was consistent with the features of the local climate (Huang et al 2014;Wu et al 2014). Monthly changes in WT at the five sampling sites were generally similar.…”
Section: Analysis Of Water Qualitysupporting
confidence: 63%
“…In the CCA model of zooplankton, NPL alone provided a relatively good explanation (8.3%) of the variance in the dominant zooplankton taxa, and the combination of WT&NPL only explained 5.3% more of the variance than WT alone. Therefore, we conclude that in the Chuanfang River, zooplankton communities are less sensitive than phytoplankton to changes in water pollution status, and the zooplankton community structure of the Chuanfang River is predominantly influenced by WT (Czerniawski et al 2013;Wu et al 2014;Emerson and Bollens 2015).…”
mentioning
confidence: 82%
“…A real‐world LGIW process always occurs accidently, unpredictable in geographical location, and often lacks observational data. Only a very limited amount of data were reported for the typical Huangtian LGIW, both for the landslide and resultant water wave (Y. Liu et al., 2015; Wu, 2011). Convergence analysis, the generation and development of surge waves have been discussed in the previous two sections.…”
Section: Simulation Of Huangtian Landslide‐generated Surge Wavesmentioning
confidence: 99%
“…As for temporal variations, copepod richness was higher in spring and autumn. Its richness increment may be due to suitable water temperature (Haberman & Haldna, 2017), or due to increment of phytoplankton growth, which are considered as major food to grazers of zooplankton (Wu et al, 2014) in spring and autumn months as well as due to, the high organic matter as a food source for zooplankton (Dražina et al, 2017). In addition, zooplankton richness had high values, which might be due to its coincidence with high water discharge in June and July (Branco et al, 2018).…”
Section: Ecological Indexesmentioning
confidence: 99%