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Record W4242552829 · doi:10.1080/14634988.2013.857262

Preface

2013· article· en· W4242552829 on OpenAlexaffabout
Anil Kumar Sharma, M. Munawar

Bibliographic record

VenueAquatic Ecosystem Health & Management · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsAssociated Medical Services
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

India is endowed with rich water resources. Approximately 45,000 km of riverine systems are intertwined across the length and breadth of the country. These include the Himalayan snow-fed and peninsular rain-fed rivers. There are 14 major rivers in India of which 4 are perennial. Ganga, Brahmaputra, Brahmani, Cauvery, Godavari, Indus, Krishna, Mahanadi, Mahi, Narmada, Periyar, Sabarmati, Subarnarekha and Tapti cover 83% of the drainage basin and account for 85% of the surface flow. Among them, the River Ganga occupies a unique position in the history, culture, religion and civilization of the Indian subcontinent. The drainage basin of the Ganges covers one of the most populated regions of the world where the Indo-Aryan civilization has flourished for many centuries and forms the lifeline of the country. These major rivers of India harbour extremely rich biodiversity and contribute significantly to the food security and livelihood of India.In recent decades, India's water resources, and especially her rivers, have been exposed to various anthropogenic stresses. Human greed and abuse have degraded these ecosystems significantly; human impacts include the construction of numerous multipurpose reservoirs for irrigation, water supply, and hydro-power, as well as many dams for water diversion. Several long reaches of rivers passing through urban areas remain completely dry for large parts of the year, except during monsoon, because of these uses. These flood plains are lost and even river beds are cultivated during dry periods. As a result of such habitat degradation, fish catches have greatly declined, the size of important indigenous fish species has decreased and fish recruitment has been seriously affected.It is indeed a matter of extreme concern that out of the world's 30 river basins identified as global level priorities for maintenance and protection of aquatic biodiversity, 9 of these are Indian: namely Brahmaputra, Cauvery, Ganges, Godavari, Indus, Krishna, Mahanadi, Narmada, Pennar and Tapi. This situation has developed due to the inability of most resource managers to adopt a comprehensive and holistic approach to balance the demands of ecosystem health against the equally compelling needs of other stakeholders. Consequently, in order to evaluate the deteriorating situation, a special symposium entitled ‘Indian River Systems’ was organized jointly by Central Indian Fisheries Research Institute (CIFRI) and the Aquatic Ecosystem Health & Management Society, Canada (AEHMS) during the 8th Indian Fisheries forum held in Kolkata, 2008. At the symposium, it was concluded that although the CIFRI – a premier Indian research organization – has generated a valuable, long-term database dealing with the ecology, biodiversity, fisheries, health, and management of the major rivers, the data are fragmented and scattered. Furthermore, it was suggested that a concerted effort be made to gather, compile and integrate the available literature and data on the major rivers which will lead to a realistic and scientific assessment of the current status of their health. It was recommended that the database be organized and assessed with an ecosystemic and integrated approach. Consequently, following the 2008 fisheries forum, the AEHMS invited various researchers working on the Ganges to submit papers to the journal, Aquatic Ecosystem Health & Management (AEHM). Following peer review, a compendium of five articles entitled “Ecosystem health of the majestic river Ganges” was published in AEHM (AEHMS, 2010).The AEHMS-CIFRI collaboration has continued to be productive. Subsequently, a series of activities has been organized to maintain the momentum, and plans for two more publications were drawn up following an organizational meeting held in New Delhi during February 2011: Ecology of the Mighty Ganges: Health, Fisheries and ManagementHealth and fisheries of the major river ecosystems of IndiaIn order to proceed with these planned publications, an “authors’ workshop” entitled ‘Ecosystem Health of Major Rivers of India: River Ganges Case Study’ was organized jointly by CIFRI-AEHMS in Barrackpore during April 2012, where scientists working on various rivers presented their research findings. The organizers felt that it would be useful to organize a special all-India symposium for wider participation of scientists from across the country. Consequently, CIFRI, AEHMS & Inland Fisheries Society of India (IFSI) were pleased to jointly sponsor a Symposium entitled ‘Health and fisheries of major river ecosystems of India with emphasis on River Ganges’ (Conveners: A. Sharma and M. Munawar) in celebration of a great event: the 100th Indian Science Congress in Kolkata. The response to the symposium was overwhelming with the presentation of 40 papers during the two days of deliberations. It provided an excellent opportunity for a top-down assessment of the status of the ecosystem health of Indian rivers. As a result of the above activities and several follow-up meetings, papers on various rivers of India were submitted for publication. As indicated above, two publications have been planned based on the papers received on the major rivers of India, namely a special issue and a book (in progress). The current issue consists of 11 articles dealing with a wide range of topics. We hope that the special issue will broaden our understanding of the ecology, biology and management of the mighty Ganges River and will be useful to students, researchers, managers and well-wishers of River Ganges.We are grateful to Drs. C.K. Minns (Scientist Emeritus, Fisheries & Oceans Canada) and N. Mandrak (University of Toronto) for their continuing support and advice towards the development of this special issue. We sincerely thank over 30 international referees for their high quality reviews, constructive criticisms and revisions which enhanced the quality of all articles. We take this opportunity to thank the AEHMS staff: Jennifer Lorimer, Robin Rozon, Susan Blunt and Lisa Elder, and also Mark Fitzpatrick (Fisheries & Oceans Canada) who patiently processed the manuscripts and always tried to raise the quality of articles a notch higher. Finally, we gratefully acknowledge the assistance of Drs. Dilip Kumar (Senior Emeritus scientist) and Sajina Ali (CIFRI).Dr. Anil P. Sharma, Director CIFRIBarrackpore, Kolkata, IndiaDr. M. Munawar, President and Chief EditorAEHMS, Burlington, Ontario, Canada

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.715
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.030

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.229
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2013
Admission routes2
Has abstractyes

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