Publications by authors named "Eisa Ebrahimi Dorche"
Article Synopsis
- Aquatic organisms' tolerance to environmental stressors is a key indicator of freshwater ecosystem health, and tolerance values (TV) from species-environment analyses are more objective than expert opinions.
- Principal component analysis (PCA) was used to assess stressors like phosphate and nitrogen across 54 sites in the Karun River basin, classifying 37 fish species into sensitive, semi-tolerant, and tolerant categories.
- The resulting Karun Fish Tolerance Index (KFTI) effectively distinguishes site disturbance levels with an 82.5% discrimination efficiency, serving as a valuable tool for conservation efforts in the region.
Article Synopsis
- Human activities are negatively impacting freshwater ecosystems, leading to loss of biodiversity and ecosystem services.
- Multi-metric indices (MMIs) can effectively track these impacts by integrating various biological responses to environmental changes, but their success depends on the choice and calibration of metrics.
- This study tested how functional traits improve MMIs, how separating natural and human influences affects their performance, and found that MMIs based on index performance were generally more precise than those based on metric performance.
We assessed the distribution of alien fishes in the Karun River Basin, Iran. Fish were collected from 39 sites during the November-December 2018 low-flow period. In total, 39 fish species from nine orders and 14 families were documented.
View Article and Find Full Text PDFWe analyzed spatial variation in fish species richness and community composition in the Karun River basin, Iran. Knowledge about fish diversity in the basin is incomplete and varies widely along spatial and temporal scales: The Karun is the longest river in Iran (950 km) with the largest drainage area (about 67,000 km). Fish samples were collected from 54 sites from July through August 2019 using a backpack electro-fisher.
View Article and Find Full Text PDFWater quality indices use biological, chemical, and physical data and information to classify the condition of surface waters, ultimately contributing to their management. We used multicollinearity and principal components analyses to develop the Revised Iranian Water Quality Index (RIWQI) as an indicator of agricultural and urban effects in the Karun River Basin of southwestern Iran. Seasonal sampling and analysis of water quality parameters from 54 sites across 18 rivers of the Karun River Basin include fecal coliform, total dissolved solid, phosphate, biological and chemical oxygen demand, nitrate, dissolved oxygen saturation, turbidity, pH, and water temperature.
View Article and Find Full Text PDFThe most robust approach to ecological monitoring and assessment is the use of regionally calibrated indicators. These should be calculated based on collocated biological (response) and physicochemical (stressor) variables and an objective rating and scoring system. In developing countries, a frequent lack of financial and technical resources for monitoring has led to many environmental problems being overlooked, such as the degradation of streams, rivers, and watersheds.
View Article and Find Full Text PDFLarge river systems are one of the most important water resources for human societies. However, the ecological integrity of large rivers has been altered greatly by human activities. To monitor and manage these ecosystems, multimetric indices (MMI) are considered as efficient tools.
View Article and Find Full Text PDFArticle Synopsis
- A study examines the physical, chemical, and biological characteristics of the Karun River Basin to assess ecological quality and aid restoration efforts.
- Researchers collected seasonal data on water chemistry, physical structure, and land use over a year to identify a disturbance gradient.
- The analysis revealed five key variables impacting ecological health and classified sites into least, moderate, and most disturbed groups, with significant differences detected among them.