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Enregistrement W4252665241 · doi:10.1080/14634988.2017.1260415

Editorial

2017· editorial· en· W4252665241 sur OpenAlexaboutno aff
Mohiuddin Munawar

Notice bibliographique

RevueAquatic Ecosystem Health & Management · 2017
Typeeditorial
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueFish Biology and Ecology Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCompendiumPublishingLibrary scienceFisheries managementEcosystem healthPolitical scienceGeographyFisheryFishingEcosystemEcologyEcosystem servicesArchaeologyBiologyLaw

Résumé

récupéré en direct d'OpenAlex

The Aquatic Ecosystem Health and Management Society (AEHMS), as part of its global program, has been active in India for almost 15 years, organizing symposia, conferences and publications (AEHMS, 2001, 2005). The most recent AEHMS activities emerged as a result of the collaboration between the Society and the Central Inland Fisheries Research Institute (CIFRI). A special symposium was organized during the 2008 Indian fisheries forum, which became instrumental in publishing a compendium of five papers on the ecosystem health of the majestic River Ganges (AEHMS, 2010). These papers were popular downloads from the publisher's website, which was encouraging. Consequently it was felt that this was an opportune time to make future plans for activities with the advice of Dr. A. P. Sharma, CIFRI's new director, who enthusiastically supported the convening of various workshops and ecoforums at CIFRI.A great opportunity emerged during the centenary celebrations of the 100th Indian Science Congress in Kolkata in January, 2013. As part of the celebrations, a two-day symposium entitled “Health and fisheries of major river ecosystems of India with emphasis on River Ganga” was convened, with over 40 presentations delivered. Papers from this historical symposium resulted in the publication of a special issue of Aquatic Ecosystem Health & Management devoted to the Ganges, entitled “Ecology of the Mighty Ganges: Health, Fisheries and Management” (AEHMS, 2013). The current double special issue includes selected articles on other major rivers of India, which were presented at the same Indian Science Congress.Amongst the Indian rivers, the Ganges is the largest aquatic ecosystem and has played a key role in the life and vitality of India from time immemorial. In Indian culture, the River Ganges has been considered the most sacred and spiritual river. It occupies a unique position culturally, religiously, and ecologically. It is also called “Mother Ganga” as a sign of utmost respect. The Ganges basin is a cradle of Indian civilization, center of pilgrimage, and host to festivities attended by millions. Ganges water (Gangajal) is not meant merely for human utilities, irrigation, and fisheries, but also for purification from sins and devotion to God according to Hindu beliefs. Its water is believed to possess some unique healing, bactericidal, self-cleansing, and putrefaction resistance properties. Due to its historical, cultural, and economic significance, in 2009 the Government of India declared Ganges to be the “National River of India” and established the National Ganga River Basin Authority (Government of India 2009, 2010).The Ganges is a trans-boundary river shared by India and Bangladesh and previously the AEHMS strove to devote two special issues to the ecology and fisheries of the River Ganges (AEHMS, 2010, 2013), which contained in-depth articles on various aspects.This special double issue contains some additional manuscripts dealing with the tributaries of Ganges basin, while also attempting to focus on other major rivers of India about which very little is known. The 15 articles cover a variety of topics such as ecosystem health, ecology and community structure, fish diversity, wetlands, and ecological integrity of major Indian rivers. The issue includes articles dealing with historical, cultural, and socioeconomic attributes and is divided into the following three sections: Ganges River SystemsPeninsular River SystemsSocioeconomicsAll articles in this special publication on The Major Rivers of India were peer reviewed, revised, and then meticulously edited by a professional technical editor as per the guidelines of the AEHMS. We are pleased to publish this interesting compendium of papers for the first time on a topic about which very little is known in the global ecological community.We are grateful to Drs. C. K. Minns (Scientist Emeritus, Fisheries & Oceans Canada) and N. Mandrak (University of Toronto) for their support, advice, and assistance in the detailed reviews of various papers. Thanks are due to more than 35 international referees for the high-quality reviews, constructive criticisms, and revisions, which enhanced the quality of all articles. We sincerely thank Dr. A. P. Sharma, former director of CIFRI, for his continued support of the AEHMS–CIFRI collaborative projects. Thanks are also due to Dr. Dilip Kumar for his encouragement of the project. We appreciate the assistance of Sajina Ali for the local coordination of the project at CIFRI. AEHMS editorial staff deserves much appreciation for their patience in handling the long revision process, especially Jennifer Lorimer and Robin Rozon. We thank Bev Weiler and Susan Blunt for meticulous technical/linguistic editing of the manuscripts which played a significant role in meeting the high standard of peer-reviewed manuscripts for an ISI journal. Finally, our thanks are due to the contributors for their patience and efforts during various phases of manuscript processing, peer review, and multiple revisions.The AEHMS is very pleased to organize this special issue dedicated to the ecology of major rivers of India. We hope that the colossal effort involved in producing these state-of-the-art papers will go a long way in enhancing the knowledge of young students, as well as researchers and managers working on the conservation and restoration of aquatic resources of India.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,017
Tête enseignante GPT0,267
Écart entre enseignants0,250 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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