The Department of Civil Engineering is delighted to announce that Dr Siddhant Dash has published a paper titled “Systematic bibliographic research on eutrophication-based ecological modelling of aquatic ecosystems through the lens of science mapping” in the journal “Ecological Modelling” having an Impact Factor of 3.512. This research was conducted in collaboration with Prof Ajay S Kalamdhad from IIT Guwahati.
This research is a systematic approach on reviewing the published literature on eutrophic-ecological models developed worldwide and the methods associated with them. This provides critical insights into the status of the research domain, thereby providing a direction for the practising and future researchers to undertake a research career in this domain. It offers a more comprehensive and holistic approach to the critical review of the published literature, providing a deeper understanding to the researchers regarding the existing practices of developing eutrophication-based ecological models and the prospects lying ahead. His future research plans include understanding carbon and nutrient dynamics within an aquatic ecosystem.
Abstract of the Research
When water bodies receive surplus nutrients, especially nitrates and phosphates, these nutrients stimulate excessive plant growth (eutrophication), including harmful algal blooms, leading to oxygen depletion, decreased biodiversity, changes in species composition and dominance, and degradation of water quality. Although there are natural causes, much of the eutrophication today results from inadequately treated wastewater and agricultural runoffs. Population pressure, urbanization and industrialization contribute a considerable amount of waste, which alters the physio-chemical quality of water that eventually upsets the biotic components of the aquatic system. It is important to note that though pollution has been a significant factor in degrading the quality of aquatic ecosystems, the lack of management and global awareness regarding the protection and conservation of water bodies worldwide cannot be neglected. Hence, there lies an inherent sense of responsibility to restore the aquatic ecosystems to their natural state. Numerous techniques/treatment options are available for varying conditions, such as climatic factors, socio-economic factors, and so on. However, before ascertaining a treatment alternative to curb eutrophication levels, understanding the dynamics of any independent aquatic ecosystem is of prime importance. This necessitates a reliable model, which can provide information regarding the physical processes and dynamic occurrences in the eutrophic water bodies. Ecological modelling refers to the formation of dynamic and complex relationships between the organisms found in the ecosystem and the surrounding. It attempts to unravel the effects of certain relationships in the ecosystem that are not so apparent at first glance. The present study provides a scientific investigation of a detailed review of the published works in the domain of eutrophication-based ecological modelling till the year 2020. The first step was the scientometric studies, which were followed by a qualitative assessment wherein the current trends in research were discussed. This was followed by identifying the critical gaps in research to provide future direction.
Fig. 1. Ecological modelling process
Fig. 2. Description of the three-step literature review process employed in this research