ECOLOGY AND PARTIAL RESTORATION OF MONE WETLAND FOR FISH PRODUCTIVITY
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2018.09.1.06Keywords:
water quality, sediment analysis, restoration practices.Dimensions Badge
Issue
Section
License
Copyright (c) 2018 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Shatiya wetland, a threatened water body of eutrophicated nature in the Gopalganj district of Bihar was studied for its degradation and possible restoration practices. There high rate of sedimentation and agricultural activities causing significant changes in water quality and local biotic populations. Agricultural activities have led to high input of N and P fertilizers along with pesticides being used by the farmers. The positives response of restoration practices was observed with partial improvement in fish-productivity due to hindrance factors acting upon severe fish species.Abstract
How to Cite
Downloads
Similar Articles
- A. Basheer Ahamed, M. Mohamed Surputheen, M. Rajakumar, Quantitative transfer learning- based students sports interest prediction using deep spectral multi-perceptron neural network , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Boni D. Joshi, The evolution and impact of indian english poetry: A cultural and literary analysis , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Parmar Nisarg Kamleshbhai, Ashishkumar Bhanuprasad Upadhyay, Exploring the intersection of climate change and tourism: A case study of the Gir Region , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- S. Vnuchko, O. Batrymenko, О. Ткach, М. Karashchuk, M. Volkivskyi, Models of interaction between business and government in the conditions of the European integration course of Ukraine , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Ashutosh Kumar, The Effect of Noise Exposure on Cognitive Performance and Brain Activity Patterns , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Duyu Taaza, Sunil S. Jalalpure, Bhaskar Kurangi, In-vitro and in-silico analysis of hesperidin and naringin for metabolic syndrome management , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- B. Kalpana, P. Krishnamoorthy, S. Kanageswari, Anitha J. Albert, Machine learning approaches for predicting species interactions in dynamic ecosystems , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Ayesha Shakith, L. Arockiam, Enhancing classification accuracy on code-mixed and imbalanced data using an adaptive deep autoencoder and XGBoost , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- J. Helan Shali Margret, N. Amsaveni, A study on recency patterns of cited resources in the cytokine publications from web of science , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Anita M, Shakila S, Stochastic kernelized discriminant extreme learning machine classifier for big data predictive analytics , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
<< < 21 22 23 24 25 26 27 28 29 30 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Kumar Sanu, Equabal Jawaid, POND EUTROPHICATION AND FOOD TYPE AS DETERMINANT OF GROWTH AND SURVIVAL IN Clarias batrachus (LINN.) , The Scientific Temper: Vol. 9 No. 1&2 (2018): The Scientific Temper
- Naghma Khatoon, Fish Diversity and Community of Mone Wetland in Siwan District , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper

