From Echosounders to Ecosystems: Seafloor Habitat Mapping in a Shifting Ocean Climate
Notice bibliographique
Résumé
In the Northwest Atlantic (NWA), marine ecosystems have been identified as particularly vulnerable to climate change impacts, due to the region’s important effect on the Atlantic Meridional Overturning Circulation (AMOC) and to its significant role in ocean uptake of anthropogenic carbon dioxide. Climate-induced change on the distribution patterns and ranges of benthic fauna are expected, but precise prediction on how these changes will occur, or the underlying abiotic and biotic drivers of change, are mostly unknown. When faced with warming temperatures, studies have shown that many species are likely to exhibit poleward range shifts. However, the role that availability of suitable benthic habitat plays in this process is largely unknown due to a scarcity of seafloor mapping data at appropriate resolutions. This is a critical gap across studies to date examining climate impacts on benthic faunal distributions. To address this knowledge gap, a major, multi-year research program commenced in 2020, funded through the Ocean Frontier Institute (OFI): the BEcoME project – Benthic Ecosystem Mapping and Engagement (www.ofibecome.org). Through a series of inter-connected, cross-disciplinary work-packages, the BEcoME project is addressing what role benthic habitat plays in controlling shifting patterns in species and biodiversity caused by a changing ocean climate. This overarching question is being examined across spatial scales, from broad-scale geomorphology mapping over the entire NWA, to fine-scale surficial geology and benthic habitat mapping using emerging seafloor mapping technologies (e.g. multispectral multibeam) over local case study areas. This seminar will present an overview of some early results from this, and other associated projects, undertaken by the Seascape Ecology and Mapping (SEAM) Lab at Dalhousie University. Presenter Bio Dr. Craig J. Brown is an Associate Professor in the Department of Oceanography at Dalhousie University. Over the past two decades, his research has focused on studying benthic ecosystems from a geospatial perspective utilizing the latest seafloor habitat mapping methods and technologies – primarily focusing on marine acoustic remote sensing techniques. His main areas of research interest include the study of biophysical interactions in seafloor ecosystems to facilitate the development of effective fisheries and conservation management strategies. This interdisciplinary research involves spatial analysis of ecological, geological, geophysical, and oceanographic data sets to understand spatial and temporal patterns in benthic biodiversity and habitat characteristics for effective and sustainable ocean stewardship. Dr. Brown holds B.Sc. Hons in Zoology from the University of Reading (1993), and a Ph.D. in Marine Ecology from the University of Portsmouth (1998) in the UK. He held government, academic and industry positions in both the UK and Canada before joining Dalhousie University in 2019, where he now leads the Seascape Ecology and Mapping (SEAM) laboratory.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».