Vertical migration patterns of different phytoplankton species during a summer bloom in Dianchi Lake, China

Ma, Xiaowei; Wang, Yuanan; Feng, Shuqing; Wang, Shoubing

doi:10.1007/s12665-015-4279-9

Cited by 27 publications

(12 citation statements)

References 38 publications

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“…Phytoplankton abundance is a fundamental factor used to analyze the trophic state and the water quality status of inland waters. Phytoplankton is widely distributed in inland waters (e.g., eutrophic lakes, rivers, and reservoirs), and some species, such as cyanobacteria can form blooms or scum and potentially produce potent toxins (cyanotoxins) that can result in a range of adverse effects on aquatic ecosystems and human health [12][13][14]. Phytoplankton activity exhibits diurnal rhythms driven by physical and biological factors such as light intensity, water temperature, wind, food, species, and size [15,16].…”

Section: Introductionmentioning

confidence: 99%

“…Phytoplankton activity exhibits diurnal rhythms driven by physical and biological factors such as light intensity, water temperature, wind, food, species, and size [15,16]. The vertical distribution of phytoplankton has been well studied in eutrophic inland waters worldwide ( [14] and reference therein). Physical-chemical parameters and seasonality also affect phytoplankton distribution, abundance, and species diversity [17,18].…”

Section: Introductionmentioning

confidence: 99%

“…The integration of satellite remote sensing with in situ monitoring from optical sensors might provide multi-scale and multi-frequency data. Then, as the dynamics of phytoplankton growth might have significant variation during the day [14,33], satellite observation might be further integrated. The analysis of hourly variability is still limited to geostationary sensors [34], but the spatial and spectral resolutions are too limited to monitor the optical complexity of inland waters.…”

Section: Introductionmentioning

confidence: 99%

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The Use of Multisource Optical Sensors to Study Phytoplankton Spatio-Temporal Variation in a Shallow Turbid Lake

Bresciani

Pinardi

Free

et al. 2020

Water

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Lake water quality monitoring has the potential to be improved through integrating detailed spatial information from new generation remote sensing satellites with high frequency observations from in situ optical sensors (WISPstation). We applied this approach for Lake Trasimeno with the aim of increasing knowledge of phytoplankton dynamics at different temporal and spatial scales. High frequency chlorophyll-a data from the WISPstation was modeled using non-parametric multiplicative regression. The ‘day of year’ was the most important factor, reflecting the seasonal progression of a phytoplankton bloom from July to September. In addition, weather factors such as the east–west wind component were also significant in predicting phytoplankton seasonal and diurnal patterns. Sentinel 3-OLCI and Sentinel 2-MSI satellites delivered 42 images in 2018 that successfully mapped the spatial and seasonal change in chlorophyll-a. The potential influence of localized inflows in contributing to increased chlorophyll-a in mid-summer was visualized. The satellite data also allowed an estimation of quality status at a much finer scale than traditional manual methods. Good correspondence was found with manually collected field data but more significantly, the greatly increased spatial and temporal resolution provided by satellite and WISPstation sensors clearly offers an unprecedented resource in the research and management of aquatic resources.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Use of Multisource Optical Sensors to Study Phytoplankton Spatio-Temporal Variation in a Shallow Turbid Lake

Bresciani

Pinardi

Free

et al. 2020

Water

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“…The thermal stratification of lake water plays an important role in the vertical exchange of nutrients between dissolved and particulate substances in the system, the bioavailability of microbial substrates, and the vertical distribution, migration, and transportation of phytoplankton, fish, and other higher nutrient levels [38][39][40][41]. During the stratification of Hongfeng Lake in summer, the hydrochemical characteristics of the water show that the river input controlled the hydrochemical composition of the surface layer of the lake, resulting in characteristics such as a high pH, high DO, and high DOC, which is similar to the results found in a study of Aha Lake in the same region by Song et al [25].…”

Section: Hydrochemical Stratification Of Hongfeng Lakementioning

confidence: 99%

Iron Isotopic Composition of Suspended Particulate Matter in Hongfeng Lake

Zheng

Teng

Song

2019

Water

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The geochemical study of iron isotopes is of great significance to deeply understand the surface material circulation process and its environmental effects in surface and subsurface environments. Eutrophication lakes are an important part of the surface and subsurface environment; however, knowledge of the geochemical behavior and fractionation mechanism of iron isotopes in the biogeochemical cycling of eutrophication lakes is still scarce. In this study, a eutrophic lake with seasonal anaerobic characteristics (Hongfeng Lake) was selected as the study object to systematically analyze the iron isotope composition of suspended particles in lake water in different seasons as well as examining suspended particles in the main tributaries, sediments, pore water, planktonic algae, and other samples. The results show that the value of δ56Fe in Hongfeng Lake is between −0.85‰ and +0.14‰, and the value of δ56Fe has a high linear correlation with Fe/Al, indicating that the continental source material carried by the main inflow tributaries of the lake has an important influence on the source of iron in the lake. At the same time, Hongfeng lake is a medium eutrophication lake. Algal bloom and the content of chlorophyll a (Chl-a) is high, combined with the high correlation between Chl-a and the value of δ56Fe, which indicate that the growth of algae has an important influence on the change of iron isotope composition of suspended particles matter (SPM) in lake water and the adsorption and growth absorption of Fe by algae is the main reason for the change of the value of δ56Fe, so Fe isotope can be used to trace the lake’s biological action. For the lake and its inflow tributaries, δ56Fe values are higher in summer than those in winter. And the δ56Fe value of SPM in lake that varies with depth is more obvious in summer than in winter. In addition, there is an obvious thermocline in summer, which leads to hydrochemical stratification. Moreover, according to a linear correlation analysis, the content of DOC (dissolved organic matter) in Hongfeng Lake’s upper and lower waters, respectively, has a high correlation with the value of δ56Fe. Additionally, in the upper water, it is positively correlated, while on the bottom, there is a negative correlation relationship, which indicates that the difference in algae metabolism patterns between the upper and lower water bodies of Hongfeng Lake plays an important role in the iron isotope composition of suspended particulate matters (SPM). The composition of the Fe isotope in SPM is changed by organic adsorption and growth absorption of algae in upper water. With an increase in depth, the degradation process becomes the main one. In addition, the value of δ56Fe is low and Fe/Al is high in the water bottom, which indicates that “ferrous-wheel” cycle form at the bottom of the water.

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“…In order to report the latest researching results on lake water pollution and eutrophication, and promote the prevention and treatment of Lake water pollution, supported by the ''National Water Pollution Control and Treatment'' programme, this thematic Issue of 26 articles took Dianchi and Erhai Lakes as examples to focus on the process and mechanism of aspects such as their water quality and evolution, sediment contamination (Li et al 2015a, c;Wang et al 2015c;Xue and Lu 2015;Zhang et al 2015b), plankton (Ma et al 2015b) and algae blooms (Ma et al 2015a;Yang et al 2015), fishery industry structure and aquatic plants . It systematically analysed the pollution process, stages characteristics and major biological group changes of Dianchi and Erhai Lakes (He et al 2015a).…”

mentioning

confidence: 99%