Changes in physicochemical and biological factors during regime shifts in a restoration demonstration of macrophytes in a small hypereutrophic Chinese lake

Zhang, Shiyang; Liu, Aifen; Ma, Jing; Zhou, Qiaohong; Xu, Dong; Cheng, Shuiping; Zhao, Qiang; Wu, Zhenbin

doi:10.1016/j.ecoleng.2010.05.006

Cited by 26 publications

(17 citation statements)

References 42 publications

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“…Submerged macrophytes, as a key component in the healthy aquatic ecosystem, play an important role in the remediation of shallow freshwater lakes (Pan et al, 2011;Scheffer et al, 1993Scheffer et al, , 2001Zhang et al, 2010). In our experiments, it was also found that C. demersum L. restoration can improve water quality significantly.…”

Section: Discussionsupporting

confidence: 53%

Effects of the submerged macrophyte Ceratophyllum demersum L. on restoration of a eutrophic waterbody and its optimal coverage

Dai

Jia

Liang

et al. 2012

Ecological Engineering

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Section: Discussionsupporting

confidence: 53%

Effects of the submerged macrophyte Ceratophyllum demersum L. on restoration of a eutrophic waterbody and its optimal coverage

Dai

Jia

Liang

et al. 2012

Ecological Engineering

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“…These pollutants cause undesirable changes in the physicochemical and biological factors of the aquatic ecosystem (2). Pollution by heavy metals in aquatic environments has become a concern because of toxicity and persistence in the environment for decades (3).…”

Section: Introductionmentioning

confidence: 99%

Determination of toxic heavy metal levels in commonly consumed species of shrimp and shellfish using ICP-MS/OES

Habte

Choi

Nho

et al. 2015

Food Sci Biotechnol

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Toxic metal concentrations, including lead (Pb), cadmium (Cd), aluminum (Al), mercury (Hg), and arsenic (As) in edible tissues of different species of shrimp and shellfish consumed in South Korea were analyzed. Analysis was performed using inductively coupled plasma (ICP)-MS) for Pb, Cd and As, ICP-optical emission spectrometry (OES) for Al, and a direct mercury analyzer for Hg. Methods used were validated. Limited variation in heavy metal concentrations between shrimp and shellfish were observed. Al and As concentrations were highest while Hg was lowest. Heavy metal levels found in edible tissues of shellfish and shrimp were below international and local maximum permissible levels for human consumption. The methods used were accurate and reproducible for use in determination of toxic heavy metal levels in seafoods.

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“…In order to assess the SAV classification accuracy for the other images (i.e., 2013, 2015, and 2016), we identified total 17 SAV stations used for validation (i.e., Station 1,5,6,9,15,18,27,34,36,38,41,42,43,45,48, 49 and 52) out of 52 observation points (Figure 1) based on the available data in Table 1 and the in situ survey (2016). We also used the SAV biomass maps available in the literature for the south basin of Lake Biwa, primarily for the SAV growth period (i.e., mainly September) in 2002, 2007, 2012, and 2014 [63,65].…”

Section: Sav Distribution Mapmentioning

confidence: 99%

A Satellite-Based Assessment of the Distribution and Biomass of Submerged Aquatic Vegetation in the Optically Shallow Basin of Lake Biwa

et al. 2017

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Assessing the abundance of submerged aquatic vegetation (SAV), particularly in shallow lakes, is essential for effective lake management activities. In the present study we applied satellite remote sensing (a Landsat-8 image) in order to evaluate the SAV coverage area and its biomass for the peak growth period, which is mainly in September or October (2013October ( to 2016, in the eutrophic and shallow south basin of Lake Biwa. We developed and validated a satellite-based water transparency retrieval algorithm based on the linear regression approach (R 2 = 0.77) to determine the water clarity (2013)(2014)(2015)(2016), which was later used for SAV classification and biomass estimation. For SAV classification, we used Spectral Mixture Analysis (SMA), a Spectral Angle Mapper (SAM), and a binary decision tree, giving an overall classification accuracy of 86.5% and SAV classification accuracy of 76.5% (SAV kappa coefficient 0.74), based on in situ measurements. For biomass estimation, a new Spectral Decomposition Algorithm was developed. The satellite-derived biomass (R 2 = 0.79) for the SAV classified area gives an overall root-mean-square error (RMSE) of 0.26 kg dry weight (DW) m −2 . The mapped SAV coverage area was 20% and 40% in 2013 and 2016, respectively. Estimated SAV biomass for the mapped area shows an increase in recent years, with values of 3390 t (tons, dry weight) in 2013 as compared to 4550 t in 2016. The maximum biomass density (4.89 kg DW m −2 ) was obtained for a year with high water transparency (September 2014). With the change in water clarity, a slow change in SAV growth was noted from 2013 to 2016. The study shows that water clarity is important for the SAV detection and biomass estimation using satellite remote sensing in shallow eutrophic lakes. The present study also demonstrates the successful application of the developed satellite-based approach for SAV biomass estimation in the shallow eutrophic lake, which can be tested in other lakes.

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Changes in physicochemical and biological factors during regime shifts in a restoration demonstration of macrophytes in a small hypereutrophic Chinese lake

Cited by 26 publications

References 42 publications

Effects of the submerged macrophyte Ceratophyllum demersum L. on restoration of a eutrophic waterbody and its optimal coverage

Effects of the submerged macrophyte Ceratophyllum demersum L. on restoration of a eutrophic waterbody and its optimal coverage

Determination of toxic heavy metal levels in commonly consumed species of shrimp and shellfish using ICP-MS/OES

A Satellite-Based Assessment of the Distribution and Biomass of Submerged Aquatic Vegetation in the Optically Shallow Basin of Lake Biwa

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