The impact of landscape class and patterns at the watershed scale on Benthic Macroinvertebrate Index of Biological Integrity (B-IBI)

2015 ◽  
Vol 35 (19) ◽  
Author(s):  
张海萍 ZHANG Haiping ◽  
武大勇 WU Dayong ◽  
王赵明 WANG Zhaoming ◽  
孙然好 SUN Ranhao ◽  
陈利顶 CHEN Liding
Keyword(s):  
Benthic Macroinvertebrate ◽  
Biological Integrity ◽  
Watershed Scale ◽  
Index Of Biological Integrity ◽  
The Impact

scholarly journals Using of Index Biological Integrity of Phytoplankton (P-IBI) in the Assessment of Water Quality in Don River Section

2021 ◽  
Vol 18 (1) ◽  
pp. 0087
Author(s):  
E.N Bakaeva ◽  
Murooj Abbas Buhlool Al-Ghizzi ◽  
Zahraa Aljanabi
Keyword(s):  
Water Quality ◽  
Green Algae ◽  
Poor Quality ◽  
Total Biomass ◽  
Biological Integrity ◽  
Index Of Biological Integrity ◽  
Entire Study ◽  
Blue Green Algae ◽  
Don River ◽  
The Impact

       The multimetric Phytoplankton Index of Biological Integrity (P-IBI) was applied throughout Rostov on Don city (Russia) on 8 Locations in Don River from April – October 2019. The P-IBI is composed from seven metrics: Species Richness Index (SRI), Density of Phytoplankton and total biomass of phytoplankton and Relative Abundance (RA) for blue-green Algae, Green Algae, Bacillariophyceae and Euglenaphyceae Algae. The average P-IBI values fell within the range of (45.09-52.4). Therefore, water throughout the entire study area was characterized by the equally "poor" quality. Negative points of anthropogenic impact detected at the stations are: Above the city of Rostov-on-Don (1 km, higher duct Aksai) was 38.57 in June, the lower inflow of the Temernik river  which was 38.57- 41.42 in summer and below the spillway was 38.57 -34.28 in August. At these stations, samples with P-IBI values more than 56, characterizing water quality as "Fair", were not found in any of the observations. The negative effect on the water at the stations may be due to the influence of the closely located Aksai city and the impact of the Temernik River. In Russia P-IBI have not been used yet, so this study can be considered as the first study that’s conducted to assess the environmental status of the Don River by using the phytoplankton index of Biological Integrity and has developed scoring criteria of the Don River (P-IBI) and other watercourses of the south of Russia. The continuous monitoring relaying on the selection of the most suitable metrics score is recommended.

Response of benthic macroinvertebrate communities to El Niño related drought events in six upland streams in south-central Ontario

2008 ◽  
Vol 65 (5) ◽  
pp. 890-905 ◽  
Author(s):  
Beth Gilbert ◽  
Peter J Dillon ◽  
Keith M Somers ◽  
Ron A Reid ◽  
Lem Scott
Keyword(s):  
Relative Abundance ◽  
El Niño ◽  
El Nino ◽  
Southern Oscillation ◽  
Benthic Macroinvertebrate ◽  
Macroinvertebrate Communities ◽  
South Central ◽  
Effects Of Drought ◽  
One Year ◽  
The Impact

We examined the effects of extreme drought events on benthic macroinvertebrate (BMI) community structure in six forested upland streams in south-central Ontario, Canada, during a 9-year period. Variation in the mean winter El Niño – Southern Oscillation Index was strongly correlated with drought conditions (zero flow days) in the study streams. Drought onset and duration varied among study streams and among years. Below-average precipitation coincided with the occurrence of drought, although it remains unclear if snowfall and rainfall contributed equally to the impact of decreased precipitation. Increased relative abundance of Ephemeroptera, Plecoptera, and Trichoptera (EPT) one year following drought and decreased relative abundance two years after drought indicated high resistance but poor resilience. In contrast, chironomids showed poor resistance and high resilience. Although these patterns were not consistent across all streams, temporal coherence among streams was found in percent EPT, percent chironomids, and percent dipterans, suggesting that drought acts as a disturbance mechanism that simplifies benthos community assemblages. Biocriteria developed from 22 nearby reference streams indicated that abnormal BMI communities occurred only after recurring episodes of drought, indicating that the effects of drought are cumulative. Headwater streams may prove to be sentinel ecosystems for monitoring the impacts of climate change.

The year after an extraordinary sedimentation event in a regulated Alpine river: The impact on benthic macroinvertebrate communities

2020 ◽  
Vol 36 (8) ◽  
pp. 1656-1667
Author(s):  
Francesca Salmaso ◽  
Giuseppe Crosa ◽  
Paolo Espa ◽  
Gaetano Gentili ◽  
Silvia Quadroni
Keyword(s):  
Benthic Macroinvertebrate ◽  
Macroinvertebrate Communities ◽  
Alpine River ◽  
The Impact

Impact of critical source area on AnnAGNPS simulation

2011 ◽  
Vol 64 (9) ◽  
pp. 1767-1773 ◽  
Author(s):  
Wang Xiaoyan ◽  
Lin Qinhui
Keyword(s):  
Source Area ◽  
Prediction Errors ◽  
Nutrient Loads ◽  
Watershed Scale ◽  
Point Source Pollution ◽  
Terrain Attributes ◽  
Average Slope ◽  
Nitrogen Yields ◽  
The Impact ◽  
Total Phosphorus Load

The objective of this paper is to study the impact of critical source area (CSA) within an Annualized AGricultural Non-Point Source pollution models (AnnAGNPS) simulation at medium- large watershed scale. The impact of CSA on terrain attributes is examined by comparing six sets of CSA (0.5, 1, 2, 4, 6 and 8 km2). The accuracy of AnnAGNPS stimulation on runoff, sediment and nutrient loads on these sets of CSA is further suggested in this paper. The results are as followed: (1) CSA has little effect on watershed area, and terrain altitude. The number of cell and reach decreases with the increase of CSA in power function regression curve. (2) The variation of CSA will lead to the uncertainty of average slope which increase the generalization of land characteristics. At the CSA range of 0.5–1 km2, there is little impact of CSA on slope. (3) Runoff amount does not vary so much with the variation of CSA whereas soil erosion and total nitrogen (TN) load change prominently. An increase of sediment yield is observed firstly then a decrease following later. There is evident decrease of TN load, especially when CSA is bigger than 6 km2. Total phosphorus load has little variation with the change of CSA. Results for Dage watershed show that CSA of 1 km2 is desired to avoid large underestimates of loads. Increasing the CSA beyond this threshold will affect the computed runoff flux but generate prediction errors for nitrogen yields. So the appropriate CSA will control error and make simulation at acceptable level.

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