Implications of deep-seabed mining on marine ecosystems—Introduction to a special series of papers
Notice bibliographique
Résumé
Abstract After more than 50 years of exploration and research that has intensified over the past decade, deep-seabed mining (DSM) remains a controversial subject, resulting mainly from legacy issues of other extractive industries. Moreover, our planet is environmentally challenged, with climate change as one of the major issues that we collectively face. Deep-seabed mining aims to collect metal resources lying on the deep seabed to help meet increased global demand caused by growth in population and urbanization, and clean energy, in a way that reduces pressures on land, such as deforestation and community relocation. The metals found on the seabed are those needed to address climate change through clean energy technologies. An important question facing us is: How do we, most responsibly, obtain the metals we need with the least impact on the planet we are trying to protect? DSM is one of the options to meet the demand. In this IEAM special series, we set out to present neutral and unbiased perspectives on the environmental implications of DSM. Our aim is to offer readers environmental management considerations learned by researchers around the world and working in diverse aspects of the field, including: population and community assessment, biota ecosystem services, environmental ethics, and rehabilitation and restoration. In consideration of the controversies, fundamental questions still remain: How can a new industry be given the opportunity to “do the right thing”? How do we make evidence-based decisions about where metals should come from when emotions and possibly fear often seem to drive the debate? Can we assume that decisions and policies are best achieved based on data and evidence? The papers presented in the series help address these questions and cover a range of diverse topics from ethical frameworks to biodiversity assessment to risk assessment to restoration. Integr Environ Assess Manag 2022;18:631–633. © 2021 SETAC KEY POINTS Deep seabed mining (DSM) is one of the options to meet the demand for metals globally. This special series presents neutral and unbiased perspectives on the environmental implications of DSM. Fundamental questions remain: can a new industry be given the opportunity to “do the right thing”; how do evidence-based decisions about where metals should come from be made, when emotions and fear often drive the debate, and can we assume that decisions and policies are best achieved based on data and evidence. Papers presented in the special series help address key questions and cover a range of diverse topics from ethical frameworks to biodiversity assessment to risk assessment to restoration.
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 | 0,000 | 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) | 0,001 | 0,000 |
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 ».