From single-species to biodiversity conservation? Habitat mapping and biodiversity analysis of the Eastport Marine Protected Area, Canada
Notice bibliographique
Résumé
As a signatory to the Convention on Biological Diversity, Canada has committed to protect at least 10% of its coastal and marine waters by 2020 through ecologically representative and well-connected systems of protected areas. As more nations implement additional marine conservation measures to meet international targets, understanding how existing protected areas contribute to broader conservation goals is important. Our study describes the benthic habitat mapping of a small Canadian MPA and reports on its contribution to conservation of regional benthic marine biodiversity. We also suggest methods for incorporating benthic habitat connectivity analysis into adaptive management processes. The Eastport MPA (Newfoundland, Canada) is a 2.1 square kilometre no-take reserve designated in 2005, based on a voluntary fishery closure implemented in 1997. The primary goal of the Eastport MPA is to protect and sustain the American lobster (Homarus americanus) population, which supports an important local fishery. The MPA's stated management goals also include protection of benthic biodiversity and protection of rare and endangered species. Benthic habitats within and adjacent to the MPA were characterized and mapped using multibeam echosounder data and seafloor videos. Three statistically distinct benthic habitats were identified within the boundaries of the MPA: 'shallow rocky', 'sand and cobble', and 'sand'. The distribution of species was primarily driven by depth and substrate type. The shallow rocky habitat (48% of the study area) contains complex bedrock and boulder features with high macroalgal cover, which are associated with juvenile and adult American lobster habitat. However, a previous study covering a broader area identified 10 distinct habitats in Newman Sound, the area surrounding the MPA. Species composition was also significantly different inside and outside the MPA, with much lower species richness within the protected boundaries. These results indicate that this small MPA contributes little to the conservation of the regional marine biodiversity, vulnerable habitats, or species at risk. The high resolution marine habitat maps produced provide the opportunity to apply landscape ecology concepts, such as habitat connectivity metrics, to support marine conservation and adaptive management initiatives. In Eastport, benthic habitat connectivity is currently being assessed to identify areas that could be selected for a possible MPA expansion. Preliminary results derived from applying Patch Cohesion and Connectance Indices suggest that while habitats within the MPA are highly contiguous, connectivity between corresponding habitat patches is low. Further analysis of benthic habitats outside the MPA may help to identify possible solutions that maintain continuity and enhance connectivity with new or expanded protected areas. The results of this study will support adaptive management, something rarely done for Canadian MPAs, and will contribute to the development of methods for the identification of effective and well-connected MPA networks.
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 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 | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,006 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 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 ».