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Johnson, Jeyaraj Antony

When Nature Decides who Stays and who Goes:Priority effects Extirpating the Non-Native Brown Trout Salmo Trutta fario L. Population from a Himalayan River

Abstract Views :278 | PDF Views:77

Authors

Aashna Sharma ¹, Vineet Kumar Dubey ¹, Prakash Nautiyal ², Jeyaraj Antony Johnson ¹, Yogesh Kumar Rawal ³, Kuppusamy Sivakumar ¹

Affiliations
1 No. 18 Chandrabani, Wildlife Institute of India, Dehradun 248 001, IN
2 Aquatic Biodiversity Unit, Department of Zoology and Biotechnology, Hemwati Nandan Bahuguna Garhwal University, Srinagar 249 161, IN
3 Department of Zoology, Panjab University, Chandigarh 160 014, IN

Source

Current Science, Vol 117, No 2 (2019), Pagination: 186-187

Abstract

Climate-induced stochastic events bring forth idiosyncratic changes in habitat and community assemblage patterns of an area. Nature governs its priorities in such incidents, where native taxa are preferred over the invasive ‘late-comers’, thus leading to extirpation of the latter, according to the concept of ‘priority effects’¹. This stronghold of nature strictly comes into play when an ecosystem is least altered from its natural state. River Asiganga in Uttarakhand, India was chosen as a case study to understand this theory, where cloudburst-induced flash floods are considered to be a reason for the complete wipe-out of non-native brown trout (Salmo trutta fario), leaving behind the native snow trout (Schizothorax species).

Full Text

References

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Detection and Mapping of Seagrass Meadows at Ritchie’s Archipelago using Sentinel 2A Satellite Imagery

Abstract Views :168 | PDF Views:85

Authors

Sharad Bayyana ¹, Satish Pawar ¹, Swapnali Gole ², Sohini Dudhat ², Anant Pande ², Debashis Mitra ³, Jeyaraj Antony Johnson ⁴, Kuppusamy Sivakumar ²

Affiliations
1 Indian Institute of Remote Sensing, Dehradun 248 001, IN
2 Department of Endangered Species Management, Wildlife Institute of India, Dehradun 248 002, IN
3 Marine and Atmospheric Science Department, Indian Institute of Remote Sensing, Dehradun 248 001, IN
4 Department of Habitat Ecology, Wildlife Institute of India, Dehradun 248 002, IN

Source

Current Science, Vol 118, No 8 (2020), Pagination: 1275-1282

Abstract

This study presents an attempt to utilize seagrass data acquired from field surveys to compare classification models for mapping seagrasses using Sentinel -2A satellite data. Out of three models tested , viz. Random Forest, Support Vector Machine and K-Nearest Neighbor; Random Forest classification model proved most effective in the given scenario with 0.99 model accuracy. Seagrasses present as deep as 21 m were detected post water column correction, presenting the capability of Sentinel-2A satellite in detecting submerged benthic habitat.

Keywords

Depth Invariant Index, Ritchie’s Archipelago, Seagrass, Sentinel-2A.

Full Text

References

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Understanding dietary differences in Indian dugongs through opportunistic gut sampling of stranded individuals

Abstract Views :162 | PDF Views:83

Authors

Sumit Prajapati ¹, Chinmaya Ghanekar ¹, Sameeha Pathan ¹, Rukmini Shekar ¹, K. Madhu Magesh ¹, Swapnali Gole ¹, Srabani Bose ¹, Sweta Iyer ¹, Anant Pande ², Kuppusamy Sivakumar ³, Jeyaraj Antony Johnson ¹

Affiliations
1 Wildlife Institute of India, Chandrabani, Dehradun 248 001, India, IN
2 Wildlife Institute of India, Chandrabani, Dehradun 248 001, India; 2Marine Programme, Wildlife Conservation Society – India, Bengaluru 560 097, India, IN
3 Wildlife Institute of India, Chandrabani, Dehradun 248 001, India; Department of Ecology and Environmental Sciences, School of Life Sciences, Pondicherry University, Puducherry 605 014, India, IN

Source

Current Science, Vol 123, No 10 (2022), Pagination: 1259-1264

Abstract

We analysed gut samples of stranded dugongs from Tamil Nadu and Gujarat, India, to understand their dietary preferences. We quantified seagrass fragments from the gut as leaf, stem and rhizome, and identified leaf fragments up to genera level by their morphological features and epidermal cell characteristics using an inverted microscope. The overall abundance of above-ground fragments (leaf, stem) was higher in all samples, which may suggest the dugongs use a cropping mechanism to forage. The ingested seagrass generic diversity was higher in Tamil Nadu (n = 5) dugong individuals than those in Gujarat (n = 2). A total of five genera were recorded from all samples, viz. Halophila spp., Halodule spp., Cymodocea spp., Enhalus sp. and Syringodium spp. In Tamil Nadu, Cymodocea spp. (46.24%) was the most dominant, followed by Halophila spp. (26.49%), Syringodium spp. (14.83%) and Halodule spp. (12.16%), with a low occurrence of Enhalus spp. (0.19%). In Gujarat, Halodule spp. (61.48%) was the most dominant, followed by Halophila spp. (30.20%). The recorded plastic and wood fragments suggest fine spatial scale threat mapping in dugong habitats

Keywords

Dugongs, foraging pattern, megaherbivore, necropsy, seagrass.

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