Perspectives on an ecosystem approach to ecogenic challenges in the Great Laurentian Basin and beyond
Notice bibliographique
Résumé
During the past three centuries in North America, the science and practice of fisheries emerged pragmatically based on experiences of Native Peoples and on practices imported by invading Europeans. Achieving sustainability of high-value harvests became progressively more difficult with expansion of harvesting to low value fish and intensification of other cultural stresses that undercut natural production of the valued species. The history of fisheries has parallels in trapping, forestry, agriculture and other features of ‘development’ including disposal of wastes of all kinds. Further, adverse consequences of ‘conventional progress’ in one sector spilled over to undercut benefits in others. Features of an heuristic mindscape termed ‘ecogeny’, within which to address sustainability in evolving natural/cultural complexes, may be as old as human history. An ecogenic mindscape subsumes implicitly-shared conceptual and practical traditions in ecology, economics, ekistics, ecosophy and other eco-studies. Here ‘eco’ refers to a natural/cultural complex as a holonistic reality, both part and whole. Experimentation, reductionist analyses and quantitative models play important, but not sufficient, roles in this evolving understanding. Here I have situated my personal account, some eight decades long, within this emerging ecogenic mindscape as focused initially on fish and fisheries in the Laurentian Great Lakes Basin. Our lives are complex happenings, with events that cannot be forced into a linear spatio-temporal narrative. With many others, I participated in collaborative networks that addressed major issues in trans-cultural/trans-jurisdictional settings, each at several nested levels of ecogenic organization from local to global: identifying and correcting bad fishing and environmental practices to achieve sustainable high-value fisheries; diagnosing causes of observed degradation of aquatic ecosystems in order to suppress harmful, interacting stresses and achieve rehabilitation; strengthening earlier collaborative governance traditions among fishers and regulators; and assessing likely effects of climate warming on cold-blooded fish in their warming and otherwise stressed habitats. Large culturally-modified natural processes (sun, wind, rain) generate vast amounts of valued goods; but other culturally-modified natural processes (fire, flood, drought) also generate vast harm. Any manifestation of such goods and harms transcends the spatial boundaries of any particular private property or governmental jurisdiction. With just governance of good and/or bad ecogenic realities, both altruistic and selfish commitments need to be exercised fairly. Our networks’ policy goals were ecosystem integrity, sustainable use, just governance and caring stewardship, again at spatial levels of ecogenic organization from local to global. With ethical discourse, we engaged in adaptive co-management initiatives with iterative participation by scientific researchers, experts in computing, traditional knowledge stewards, resource harvesters, environmental users, governmental administrators, informed activists and econumenistic care-givers. Done carefully and transparently, this pragmatic kind of collaborative ‘science’ provides reliable insight that is relatively impervious to pseudo-scientific attacks from deniers promoting contrary agendas.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».