Current Life Sciences <p><strong>ISSN 2449-8866</strong><br><a title="ICV: 79.09" href=",p24783446,3.html" target="_blank" rel="noopener"><strong>ICV 2015: 79.09</strong></a></p> en-US (Joanna Bródka) (Joanna Bródka) Mon, 09 Apr 2018 20:21:06 +0200 OJS 60 Diversity and distribution of rhizospheric bacteria associated with Devil's cotton (Abroma augusta L.) along with alterations induced by the abiotic environment <p>Recent research on the pharmacological aspects of Devil's cotton (<em>Abroma augusta</em> L.) plant has increased its impetus, notwithstanding its usage by the traditional practitioners, in face of its over-exploitation. We attempted a study of the association ecology of pedospheric bacteria associated with its rhizosphere. A total of 9 (nine) bacteria were isolated from rhizospheric soil collected from 8 natural locations of the Brahmaputra valley, distributed in 4 districts of Assam, India. The association between rhizospheric bacteria and fungal biota (including endomycorrhizae and non-mycorrhizal fungi) with abiotic soil properties can be exclusively advocated for a broader utilization as an ecological indicator for the conservation of target plant species as discussed in the present paper.</p> <p><strong>DOI:</strong> <a href=""></a></p> Vipin Parkash, Ankur Jyoti Saikia ##submission.copyrightStatement## Mon, 09 Apr 2018 00:00:00 +0200 Development of digital elevation model for Okomu National Park, Nigeria <p>The type of soil, fauna and flora species that are found in an environment is affected by the elevation characteristics of the land. However, the ability to provide techniques and model that will effectively explain the elevation patterns of protected areas will aid sustainable management of the forest and its resources. This study developed Digital Elevation Model (DEM) for Okomu National Park, Nigeria. Point coordinates (2,272) with their respective elevations were randomly obtained covering the entire study area. Interpolated natural neighbour algorithm of the Quantum Geographic Information System was used to generate Digital Elevation Model for the National Park from the elevation data. Topographic map was extracted from the DEM at an interval of 10 m from one another. It was observed that the elevation in the study area ranged from 19 m to 105 m with an average of 56.32 m above sea level. Hence, the parkland is regarded as a gentle slope. This study revealed that the study area is not prone to flood or runoff due to its gentle slope nature. Therefore, this study is recommended as baseline information for ecological management as well as guide in the development of conservation strategies for flora and fauna species in the study area.</p> <p><strong>DOI:</strong> <a href=""></a></p> Onyekachi Chukwu, Akintunde A. Alo, Jacinta U. Ezenwenyi ##submission.copyrightStatement## Mon, 09 Apr 2018 00:00:00 +0200