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Enregistrement W4404708547 · doi:10.14321/aehm.027.02.06

Preface

2024· article· en· W4404708547 sur OpenAlexaffabout
Charles K. Minns

Notice bibliographique

RevueAquatic Ecosystem Health & Management · 2024
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueWater Resources and Governance
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésEnvironmental science

Résumé

récupéré en direct d'OpenAlex

Here in this journal, Munawar and Hartig (2020) presented a brief history of the evolution of the “Ecosystem Approach” (EA) in the Great Lakes basin stemming from the historic Canada-U.S. Great Lakes Water Quality Agreement signed in 1972, a listing of the efforts to propagate the EA in other large aquatic systems around the world, and an invitation to participate in an EA conference.Munawar and Hartig (ibid) reminded us of the history of EA in the Great Lakes Basin where from 1972 onwards our collective thinking shifted from water quality management toward ecosystem management. Key architects of that shift were people like Jack Vallentyne (“Johnny Biosphere”) and Al Beeton (Beeton and Vallentyne, 1988) who articulated a broad definition of the “Ecosystem Approach”:“‘Ecosystem Approach’ means an integrated set of policies and managerial practices that relate people to ‘ecosystems’ of which they are part-rather than to external resources or environments with which they interact.” With key characteristics: synthesis; a holistic perspective; and ecological, anticipatory, and ethical actions in respect of natural ecosystems.Brenda Lee, Henry Regier and Dave Rapport (Lee et al., 1982) documented the rapid evolution and diversification of particular approaches across the Great Lakes. The Ecosystem Approach first flourished in the many Areas of Concern (AOCs) singled out across the Great Lakes where many stressor levels were high, with further expansion via lake-wide and coastal management planning more recently. People like Richard Vollenweider and Mohiuddin Munawar helped develop the initial eutrophication metrics needed to measure progress and helped stimulate the development of benchmarks and metrics across the diverse spectrum of stressors. Guided by those people and ideas, I know personally that we strived very hard to realize the full potential of the Ecosystem Approach in the Bay of Quinte AOC (Minns et al., 2023) inspired by EA advocates like Jack Christie (Minns, 1999), and by scientists like Murray G. Johnson and Glen Murray who argued in the 1970s for the creation of a long-term ecosystem study in the Bay of Quinte to chart restoration while building understanding of the many complexities. While the Bay of Quinte AOC is now close to being delisted as beneficial use metrics improve, the science program is largely dormant and the local authorities maintain institutional and regulatory efforts to improve local land, wetland, and water management practices.In August 2022, that Ecosystem Approach conference convened at the University of Windson campus, close to the Canada-U.S. border, in honour of the 50th anniversary of the launching of EA efforts in the Great Lakes region of North America. Diversity is a significant feature of many aspects of this conference: the diversity of ecosystems, aquatic and beyond, considered; the diversity of stressors impacting ecosystems; the diversity of the organizations sponsoring the conference, the diversity of origins and backgrounds of the participants; the diversity of Ecosystem-based Approaches (EbAs) being pursued across the worlds ecosystems; the dimensions of EbAs being considered; and the diversity of the recommendations made to fuel future efforts to make all necessary progress around the world.Many organizations sponsored the conference: The Aquatic Health and Ecosystem Management Society (AEHMS), University of Windsor, The Nature Conservancy, Fisheries and Oceans Canada, American Fisheries Society-International Fisheries Section, The Joyce Foundation, the Great Lakes Fishery Commission, the International Joint Commission, U.S. Geological Survey, University of Michigan-School of Environment and Sustainability, International Association for Great Lakes Research, Canadian Consulate General, and the City of Windsor's Ojibway Nature Centre.The conference was ably steered by the following people: John Hartig and Mohiuddin Munawar (Executive Co-chairs); Catherine Febria and Bradley Cardinale (Conference Co-chairs); and Mathew Child, Marc Gaden, Scott Sowa, and Ralph Tingsley (Members) with strong support from Jennifer Lorimer and Nia Khuong for the conference Secretariat. An editorial committee consisting of C.K. Minns, J. Hartig, C. Febria, S. Ludsin and M. Munawar provided advice in the development of the special issue. Foreword by Dr. Henry Regier is gratefully acknowledged. Thanks to Susan Blunt for conducting technical editing of the manuscripts.The two- and one-half day hybrid conference took place August 22–24, 2022, with about 100 participants. The first day was open-access and a series of oral presentations and some virtual posters revealed the diversity of topics and issues to be tackled in the seven synthesis workshops: History and Origin of EbAs; Science-policy; Education, Outreach, and Knowledge Transfer; Blue Economy; Human Dimensions; Indigenous Management Systems; and Technological Advances/Uncertainty. The first day was capped by a keynote presentation from Professor Hugh Possingham (Univ. Queensland, Australia). On day two the synthesis working groups began their work with mixtures of surveys, presentations, and discussions. On the morning of day three the groups reviewed and compiled their synthesis overviews and shared their results in a final plenary session after lunch. After the conference, the working groups continued their work preparing the seven papers presented in this special issue. Finally, a group drawn from the working groups prepared a synthesis paper tackling the challenge of integrating all that occurred, and the consensus achieved at the conference.Together the papers in this special issue make it clear there is no single model for ecosystem-based approaches, success has been patchy to date but for EbAs to succeed they must share many features: broad community engagement, clear achievable objectives, sustained economic, institutional, and scientific commitments, and inevitably adaptation into the future. More commitment, attention and progress will be needed everywhere on Earth to restore and sustain the many ecosystems upon which all life on Earth depends. Hopefully the results of this conference shared here will assist in this challenge we all face.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,851
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,024
Tête enseignante GPT0,326
Écart entre enseignants0,302 · 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
GenreEmpirique

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
Publié2024
Routes d'admission2
Résumé présentoui

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