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Bahnwart, Mandy; Hübener, Thomas; Schubert, Hendrik

doi:10.1023/a:1003558209411

Cited by 47 publications

(8 citation statements)

References 31 publications

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“…Similar correlations between algal biomass and flow discharge were observed in the Mississippi River (BAKER and BAKER, 1981), Danube River (SCHMIDT, 1994) and some Dutch rivers (IBELINGS et al, 1998). Based on these data, therefore, algal biomass in the Yangtze River (at least under current conditions) is determined by hydrodynamics rather than by nutrient levels, a finding which is consistent with that derived from other large rivers (BAHNWART et al, 1999;LUIGI, 2000). Although nutrient concentrations in the Yangtze were very high before damming (LIU, 2000), algal blooms were not reported.…”

Section: Discussionsupporting

confidence: 85%

Post‐Impoundment Biomass and Composition of Phytoplankton in the Yangtze River

Zeng

Song²,

et al. 2007

International Review of Hydrobiology

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Damming, and thus alteration of stream flow, promotes higher phytoplankton populations and encourages algal blooms (density >10 6 cells L -1 ) in the Three Gorges Reservoir (TGR). Phytoplankton composition and biomass were studied in the Yangtze River from March 2004 to May 2005. 107 taxa were identified. Diatoms were the dominant group, followed by Chlorophyta and Cyanobacteria. In the Yangtze River, algal abundance varied from 3.13 × 10 3 to 3.83 × 10 6 cells L -1 , and algal biomass was in the range of 0.06 to 659 mg C m -3 . Levels of nitrogen, phosphorus and silica did not show consistent longitudinal changes along the river and were not correlated with phytoplankton parameters. Phytoplankton abundance was negatively correlated with main channel discharge (Spearman r = -1.000, P < 0.01). Phytoplankton abundance and biomass in the Yangtze River are mainly determined by the hydrological conditions rather than by nutrient concentrations.

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Section: Discussionsupporting

confidence: 85%

Post‐Impoundment Biomass and Composition of Phytoplankton in the Yangtze River

Zeng

Song²,

et al. 2007

International Review of Hydrobiology

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“…In the winter and spring seasons, the proportion of pennate diatoms in both zones was similarly low. This finding was consistent with previous studies showing that centric diatoms were dominant in a lacustrine zone, while pennate diatom growth was favored in a fluvial zone [40]. RDA analysis showed that pennate diatoms had a significant positive correlation with water velocity, while centric diatoms had a negative relationship with water velocity (Figure 8).…”

Section: Variation In the Diatom Communitysupporting

confidence: 92%

Variation of Diatoms and Silicon in a Tributary of the Three Gorges Reservoir: Evidence of Interaction

Xiao

Huang

et al. 2019

Water

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To gain insight into the variation of diatoms and silicon and their interaction in a tributary of the Three Gorges Reservoir (TGR), the Xiangxi River was chosen as a representative tributary, and dissolved silicon (DSi) and biogenic silicon (BSi) were investigated monthly from February 2015 to December 2016, accompanied by diatom species composition and cell density analyses. The results showed that the diatom population and its relationship with silicon concentration were significantly different between the lacustrine zone and riverine zone (P < 0.05). The cell density in the lacustrine zone (6.20 × 105 ~ 9.97 × 107 cells/L) was significantly higher than that in the riverine zone (7.90 × 104 ~ 1.81 × 107 cells/L) (P < 0.01). Water velocity was a key factor in determining the diatom species composition. Centric diatoms were the dominant species in the lacustrine zone, and pennate diatoms were the primary species in the riverine zone, which indicated that centric diatoms outcompete pennate diatoms under the influence of the TGR’s operation. BSi showed a significant linear relationship with the cell density. DSi had a significant negative relationship with the cell density in the lacustrine zone, while no significant relationship was found in the riverine zone. This meant that the main contributor to BSi was diatoms, but DSi was primarily affected by water discharge, not diatom uptake. It could be deduced that the spatiotemporal heterogeneity of diatom communities was influenced by the TGR’s operation. Silicon cycling in the tributary was significantly affected by diatoms, and the current concentration of DSi was sufficient for diatom growth and showed no significant effects on the diatom community.

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“…Even if no noteworthy hydrological events occur, the amount of biomass may vary by ±20% in two successive years (Mulholland, 1981). Biomass in observed data have been reported as 0.06 to 1.17 t/ha in Warnow River in Germany (0.18 t/ha in this study) (Bahnwart, et al, 1998), 0.04 to 0.09 t/ha in Gamtooth Estuary in South Africa (0.14 t/ha) (Kotsedi, et al, 2012), 0.01 to 0.04 t/ha in Canadian Rivers (0.03 to 3.0 t/ha) (Bum and Pick, 1996), 0.21 to 0.76 t/ha in Tama River, Japan (0.29t/ha) (Aizaki, 1980), and 0.02t/ha in Streams of Amami Island, Japan (0.14t/ha) (Abe, et al, 2008).…”

Section: Fluvial Biomassmentioning

confidence: 45%

Evaluating primary productivity, ripple effect and resilience of fluvial ecosystems: a new approach to assessing environmental flow requirement

Shinozaki

Shirakawa

2016

Preprint

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Abstract. Productivity, ripple effect and resilience are characteristics of fluvial ecosystems. To evaluate these factors and develop new criteria for estimating environmental flow requirement (EFR), we propose a fluvial biomass model which calculates the amount of aquatic biomass accumulated through physical and climatic processes. Using this model, we introduce the indices of Contribution to Downstream Ecosystems (CDE) and Ecological Recovery Time (ERT) and apply them in the estimation of global EFRs. Average EFR values were estimated at 42 % of mean annual discharge. In comparison with previous global EFR estimates based on flow regime only, our model suggests 20 %–50 % higher values in monsoonal and savanna regions with high ecological richness, and in the lower reaches of large rivers in the higher latitudes where primary productivity is low and ecosystems largely depend on allochthonous biomass supply. The main advantage of our model is the ability to set variable EFRs within a river basin based on differences in ecological characteristics driven by climatic conditions and tributaries. Taking such longitudinal differences in EFR into account aids in developing integrated water allocation strategies by reflecting differences in water resource availability for humans within a catchment.

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Cited by 47 publications

References 31 publications

Post‐Impoundment Biomass and Composition of Phytoplankton in the Yangtze River

Post‐Impoundment Biomass and Composition of Phytoplankton in the Yangtze River

Variation of Diatoms and Silicon in a Tributary of the Three Gorges Reservoir: Evidence of Interaction

Evaluating primary productivity, ripple effect and resilience of fluvial ecosystems: a new approach to assessing environmental flow requirement

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