Spatial Insect Biodiversity and Community Analysis in Selected Rice Fields of North Bihar
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2022.13.1.13Keywords:
Aquatic insect, Rice field ecosystem, biodiversity, community analysis.Dimensions Badge
Issue
Section
License
Copyright (c) 2022 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The rice is a major food crop of India. The rice cultivation has maintained its priority status in the agriculture sector of the country. The intensive management practices adopted by the practitioners have been resulted in genetic erosion, thus affecting the species composition of the rice field ecosystems. There are obvious differences in species composition and community structure of insects in upland and lowland fields affecting also crop production per year. This paper presents a work carried out on the biological diversity of rice field ecosystems of India and proposes the need for conservation strategies to ensure the sustainability of these rice fieldAbstract
ecosystems in the long run in future.
How to Cite
Downloads
Similar Articles
- Priya Rajwade, Alka Bansal, A study of the perceptions of teachers towards a holistic approach in teaching in CBSE board schools in the context of NEP 2020 at the foundational and preparatory stages , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Lakhan Kumar Tiwari, Nalini Bhardwaj, Fish Diversity and Spatial Distribution in Gandak Floodplains of Gopalganj District, Bihar (India) , The Scientific Temper: Vol. 13 No. 01 (2022): The Scientific Temper
- Chandra Bhushan Tiwary, Ashok Kumar Singh, WATER QUALITY AND LIFE-HISTORY PARAMETERS OF DAPHNIA CARINATA (DAPHNIDAE : CLADOCERA) UNDER LABORATORY CONDITIONS , The Scientific Temper: Vol. 8 No. 1&2 (2017): The Scientific Temper
- Amarjeet Kumar, Navin Kumar, Hydrological Status and Primary Productivity in Rasalpura Pond in Saran District of Bihar , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- Rajeshwari D, C. Victoria Priscilla, An optimized real-time human detected keyframe extraction algorithm (HDKFE) based on faster R-CNN , The Scientific Temper: Vol. 15 No. 03 (2024): 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
- Shriram N. Kargaonkar, Sushma Pradeep Chalke, Sunil Mahajan, Statistical Modeling of Consumer Preferences for Eco-friendly Digital Products: A Data-driven Approach Toward Sustainable Consumption in India , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Krishna Deo Verma, EFFICACY OF SOME NOVEL PESTICIDES AGAINST MUSTARD APHID , The Scientific Temper: Vol. 8 No. 1&2 (2017): The Scientific Temper
- Anil Kumar, Aditya Kumar, Synthesis, spectral characterization and antimicrobial effect of Cu(II) complexes of schiff Base Ligand, N-(3,4- dimethoxybenzylidene)-3-aminopyridine (DMBAP) Derived from 3,4-dimethoxybenzaldehyde and 3-aminopyridine , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- V Vijayaraj, M. Balamurugan, Monisha Oberai, Machine learning approaches to identify the data types in big data environment: An overview , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
<< < 18 19 20 21 22 23 24 25 26 27 > >>
You may also start an advanced similarity search for this article.

