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Enregistrement W6997436455

Zooplankton communities in Canadian ports: Composition, relative abundance and occurrence of invasive species

2015· article· en· W6997436455 sur OpenAlexaboutno aff

Notice bibliographique

RevueIslandScholar (University of Prince Edward Island) · 2015
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueMarine Ecology and Invasive Species
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésContext (archaeology)EctothermPopulationZooplanktonFish <Actinopterygii>
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Aquatic invasive species (AIS) cause significant damage to their host ecosystems, altering habitats and native species dynamics. Initiatives to improve our understanding and management of leading stressors of ecosystems like AIS are being developed through collaborative research within the Canadian Aquatic Invasive Species Network (CAISN). This thesis was developed in the context of preventing or reducing dispersal of AIS, facilitating early detection tools to rapidly and effectively identify AIS. In fact, one of the priorities of CAISN aimed at comparing results of several different approaches using traditional and molecular taxonomy to support the development of a national surveillance program.\nThe overarching objective of this thesis was to identify zooplankton species from 16 “high risk ports” based on shipping traffic and ballast water discharges across Canada, four in each of the four coastal regions (Atlantic, Pacific, Arctic, Great Lakes). Zooplankton collections were conducted by four different CAISN teams, one for each region. 250μm mesh plankton net was used by means of oblique tows during summer periods of 2011 and 2012. The zooplankton was immediately preserved in 95% ethanol and fractioned for parallel projects including traditional and molecular taxonomy. A target taxonomic group (crustaceans) with a global invasion history was studied using a dissecting microscopic. As a result, approximately 14,400 specimens and 86 different taxa, 81 of which were crustaceans, have been identified to their lowest taxonomic level and reference list are provided. Among those, 13 NIS were identified, including Carcinus maenas, the green crab and Cercopagis pengoi, the fishhook waterflea. The number of NIS identified was fairly conservative considering the number of known NIS in each coastal region of Canada. Ordination tests were used to assess the similarities and dissimilarities among ports and regions, and regression analyses were used to assess the relationship between propagule pressure and NIS occurrence. Considerable variation was found among and within regions and significant relationships (albeit modest) between propagule pressure (measured as ship traffic) and the number of NIS were found. Overall, the Artic and Atlantic Oceans were the most different and the Pacific and Atlantic Oceans were the most similar in terms of zooplankton composition. No significant relationships existed when the relative abundance of zooplankton were analysed but significant relationships existed when the number of NIS were analyzed. A separate analysis focused on the comparison among samples and ports of the Atlantic region. A first inventory list of plankton communities associated to ports in this region was developed and ordination analyses were used to assess their level of similarity. Overall, Port Hawkesbury and Halifax Harbour were the most similar and Bayside and Sept-Iles were the most different in terms of zooplankton composition. The data from the 16 ports included in this thesis will be deposited in a National AIS database providing baseline information to support future policy development, and studies on vectors and environmental assessments.

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)0,000
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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,683
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,014
Tête enseignante GPT0,197
Écart entre enseignants0,183 · 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'étudeObservationnel
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
Publié2015
Routes d'admission1
Résumé présentoui

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