Reduction in the phytoplankton index of biotic integrity in riverine ecosystems driven by industrial activities, dam construction and mining: A case study in the Ganjiang River, China

Feng, Bing; Chen, Jianfeng; Xu, Jun; Xiao, Baihua; Zhou, Min; Zhang, Min

doi:10.1016/j.ecolind.2020.106907

Cited by 24 publications

(12 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The advantages of using phytoplankton as an IBI over other taxa (benthic diatoms, invertebrates, and fish) include simple collection, wide distribution, sensitivity to changes in aquatic conditions, short community renewal time, rapid response to changes in river water chemistry and habitat quality, and greater predictability of community trends (Zhou et al, 2019). Before and after a disturbance, the community structure of phytoplankton typically shifts dramatically, whereas the community structures of macroinvertebrates and fish are different (Wu et al, 2019;Feng et al, 2021). Therefore, phytoplankton can be used to assess the biological integrity of aquatic ecosystems, reflect the temporal and spatial changes in the condition of aquatic ecosystems in river basins, and serve as a crucial supplementary indicator for the evaluation of water quality.…”

Section: Discussionmentioning

confidence: 99%

“…Similar to the already adopted IBI based on fish and macroinvertebrates, our research has developed a standardized P-IBI system (Wu et al, 2019;Feng et al, 2021) to evaluate the ecosystem health status in the ASRB. The results showed that the aquatic ecosystem health status in the ASRB was "fair."…”

Section: Discussionmentioning

confidence: 99%

“…Wu et al (2019) screened three indicators, phytoplankton density, chlorophyll a (Chl a), and Menhinick's richness index, to create a P-IBI system to evaluate the ecological health of the Taihu Basin. Feng et al (2021) suggested that the P-IBI be constructed based on the percentage of Cyanophyta genera, the number of total species, percentage of Cyanophyta abundance, Shannon-Wiener index, and Pielou index to evaluate the impact of anthropogenic activities (i.e., industrial activities, dam construction, and mining) on biological integrity. In addition, other studies have also considered the development and creation of indicators, such as the density of inedible algae, water-bloom-forming algal species biomass, and density of toxic phytoplankton (Yang et al, 2019b;Zuo et al, 2019).…”

Section: No Selected Indicatorsmentioning

confidence: 99%

See 2 more Smart Citations

Ecological health evaluation of rivers based on phytoplankton biological integrity index and water quality index on the impact of anthropogenic pollution: A case of Ashi River Basin

Sun

et al. 2022

Front. Microbiol.

View full text Add to dashboard Cite

Based on the phytoplankton community matrices in the Ashi River Basin (ASRB), Harbin city, we developed an evaluation method using the phytoplankton index of biotic integrity (P-IBI) to evaluate ecological health while investigating the response of P-IBI to anthropogenic activities. We compared the effectiveness of P-IBI with that of the water quality index (WQI) in assessing ecological health. Between April and October 2019, phytoplankton and water samples were collected at 17 sampling sites in the ASRB on a seasonal basis. Our results showed that seven phyla were identified, comprising 137 phytoplankton species. From a pool of 35 candidate indices, five critical ecological indices (Shannon–Wiener index, total biomass, percentage of motile diatoms, percentage of stipitate diatom, and diatom quotient) were selected to evaluate the biological integrity of phytoplankton in the ASRB. The ecological status of the ASRB as measured by the P-IBI and WQI exhibited a similar spatial pattern. It showed a spatial decline in ecological status in accordance with the flow of the river. These results highlighted that P-IBI was a reliable tool to indicate the interaction between habitat conditions and environmental factors in the ASRB. Our findings contribute to the ecological monitoring and protection of rivers impacted by anthropogenic pollution.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: No Selected Indicatorsmentioning

confidence: 99%

See 1 more Smart Citation

Ecological health evaluation of rivers based on phytoplankton biological integrity index and water quality index on the impact of anthropogenic pollution: A case of Ashi River Basin

Sun

et al. 2022

Front. Microbiol.

View full text Add to dashboard Cite

show abstract

“…The biomonitoring of pollution relies heavily on phytoplankton [15]. To evaluate the biological integrity of the water body, one uses the distribution, abundance, species diversity, and species composition of the phytoplankton [16]. They also reflect the level of nutrients in the surrounding environment [17].…”

Section: Introductionmentioning

confidence: 99%

Zooplankton and benthic fauna composition of Isaka-bundu mangrove swamp, Niger delta, Nigeria: A polluted tidal mangrove tropical creek

Chris¹,

Amaewhule²

2022

Int. J. Sci. Res. Arch.

View full text Add to dashboard Cite

The study was aimed at examining the impact of untreated discharges from artisanal refineries (illegal bunkering), loading and other related activities on the composition, abundance, distribution, and diversity of zooplankton and macrobenthic fauna from four creek channels of the Isaka-Bundu waterfront in Rivers State, a polluted tidal mangrove wetland. Zooplankton and benthic fauna samples were collected monthly from each of the sampling stations for six months (July to December 2021 using standard sampling methods. Margalef (D), Shannon Wienner (H), and Evenness indices were tools used to determine the species richness and diversity respectively using the SPSS statistical package. This study shows that illegal refining activities and other discharges from industrial and human wastes had an unfavourable impact on the zooplankton and macro-benthic fauna community in Isaka-Bundu waterfronts. The effects are reflected in the spatial variations in the composition with more agitation, especially in station 2 in zooplankton and station 3 in macrobenthic fauna, which has a lower number of species and abundance. The majority of indicator species is a validation of this study, the community structure is an insight into the adverse effects of individual and cumulative activities. More impact was observed on the benthos and benthic fauna and this could be due to their exceptional features and location in the aquatic environment. While therefore, this is an indication that creeks are polluted and regular monitoring should be carried out to report the special degradation level of this creek.

show abstract

“…Ecological indicators are often used to evaluate the health of aquatic ecosystems, including species identi cation, biomass measurement, and species diversity index of phytoplankton (Feng et al, 2021;Nava & Leoni, 2021), zooplankton (Shao et al, 2019), macroinvertebrate (Hou, Kong, Li, Xi, & Yu, 2020), large aquatic plants (Lacoul & Freedman, 2006), sh (Breine et al, 2010;Martinho, Nyitrai, Crespo, & Pardal, 2015), and other organisms (Aguirre-Rubi et al, 2018;Aguirre & Lutz, 2004;Ciadamidaro, Mancini, & Rivosecchi, 2016). Among them, aquatic plants, as primary producers, are an important part of aquatic ecosystems, and their coverage (Yu, Wang, Liu, & Fan, 2018; Zeng, Wei, Yi, He, & Luo, 2022), plant proportion, and species composition (Rai & Singh, 2020; Shackleton, Shackleton, & Kull, 2019) can re ect the health of aquatic ecosystems and then judge the development trend of aquatic ecosystems.…”

Section: Introductionmentioning

confidence: 99%

Identification for the species of aquatic higher plants in the Taihu Lake basin based on hyperspectral remote sensing

You

Song³

et al. 2022

Preprint

View full text Add to dashboard Cite

Aquatic plants are crucial for an aquatic ecosystem, and their species and distribution reflect aquatic ecosystem health. Remote sensing technology has been used to monitor plant distribution on a large scale. However, the fine identification of aquatic plants is a great challenge due to large temporal-spatial changes in optical properties of water bodies and small spectral differences among plant species. Here, the identification method of each aquatic plant was developed by constructing the decision tree file of the C4.5 algorithm based on the canopy spectra of 8 plants in the Changguangxi Wetland water area measured with hyperspectral remote sensing technology, and then the method was finally used to monitor the distribution of different plants in Changguangxi Wetland water area and two other water areas. The results show that the spectral characteristics of plants is enhanced by calculating the spectral index of aquatic plants, thereby improving the comparability among different species. The total recognition accuracy of the constructed decision tree file for 8 types of plants is 85.02%, among which the recognition accuracy of Nymphaea tetragona, Pontederia cordata, and Nymphoides peltatum is the highest, and the recognition accuracy of Eichhornia crassipes is the lowest. The specific species and distribution of aquatic plants are consistent with the water quality in the water area. The results can provide a reference for the accurate identification of aquatic plants in the same type of water area.

show abstract

Reduction in the phytoplankton index of biotic integrity in riverine ecosystems driven by industrial activities, dam construction and mining: A case study in the Ganjiang River, China

Cited by 24 publications

References 49 publications

Ecological health evaluation of rivers based on phytoplankton biological integrity index and water quality index on the impact of anthropogenic pollution: A case of Ashi River Basin

Ecological health evaluation of rivers based on phytoplankton biological integrity index and water quality index on the impact of anthropogenic pollution: A case of Ashi River Basin

Zooplankton and benthic fauna composition of Isaka-bundu mangrove swamp, Niger delta, Nigeria: A polluted tidal mangrove tropical creek

Identification for the species of aquatic higher plants in the Taihu Lake basin based on hyperspectral remote sensing

Contact Info

Product

Resources

About