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Enregistrement W3014850971 · doi:10.14264/uql.2020.232

Plastic pollution and conservation of imperilled seabird species

2020· dissertation· en· W3014850971 sur OpenAlexaboutno aff
Stephanie Avery‐Gomm

Notice bibliographique

RevueThe University of Queensland · 2020
Typedissertation
Langueen
DomaineEnvironmental Science
ThématiqueMicroplastics and Plastic Pollution
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPlastic pollutionBiodiversityMarine debrisMicroplasticsDebrisBiotaEnvironmental scienceMegafaunaEcologyEcosystemPollutionSeabirdGeographyBiologyPredation

Résumé

récupéré en direct d'OpenAlex

Anthropogenic impacts on the environment have caused a global biodiversity crisis. Contaminants expelled during human activities, including heavy metals, persistent organic pollutants, pharmaceuticals, and plastic debris, are a substantial part of anthropogenic impacts on biodiversity. Plastic pollution presents unique environmental challenges since plastic has both physical and chemical characteristics that affect organisms, and plastics can persist for hundreds of years. To date, over 331 marine species are known to ingest plastic debris, and the prevalence of plastic pollution across ecosystems makes it a threat to many taxa. Seabirds are a charismatic and ecologically important group of marine megafauna. Studies of plastic ingestion in seabirds can be used to detect, monitor and characterise environmental plastic in the broader environment.In this thesis, I contribute to (Chapters 2 and 3) and synthesise (Chapters 4 and 5) a growing body of literature on plastic ingestion in seabirds and present a straightforward approach for considering uncertainty in conservation decision-making contexts (Chapter 6). In Chapter 2, using standardised methods, I demonstrate how the Northern Fulmar (Fulmarus glacialis) can serve as a biological monitoring species for quantifying and characterising plastic pollution. In the remote, sub-arctic Labrador Sea, I discover that 34% (n= 70) of sampled birds exceeded the Ecological Quality Objective for marine litter, having ingested > 0.1 g of plastic, thus establishing a standardised baseline for future comparisons (Avery-Gomm et al., 2017). To more fully understand the occurrence of plastic ingestion and impacts on biodiversity, it is valuable to investigate plastic ingestion in novel species and regions using the same standardised approaches. In Chapter 3, I present plastic ingestion data for Dovekies (Alle alle), the most abundant seabird in the world. I find that 30% (n= 171) of beach wrecked Dovekies ingest plastic and that poor waste management practices are a likely source of plastic pollution. Importantly, comparisons between this study and another nearby study of plastic ingestion in Dovekies from the same wrecking event that did not use standardised methods were rendered incomparable. This demonstrates how a failure to follow standardised methods for quantifying plastic ingestion can undermine spatial and temporal comparisons (Avery-Gomm et al., 2016).In Chapter 4, I articulate how plastic ingestion research can be better linked to wildlife conservation by establishing a clearer understanding of how scientific discoveries can be integrated into conservation and policy actions. I review challenges associated with quantifying the impacts of plastic ingestion at the population level and consider how ingestion research could benefit wildlife conservation by prioritizing studies that: (i) identify causal relationships between plastic load and demographic parameters that impact populations, (ii) improve our understanding of the factors that influence a species or population’s susceptibility to ingesting plastic, and (iii) evaluate strategies for mitigating impacts (Avery-Gomm et al., 2018). In Chapter 5, I bridge the gap between individual baseline plastic ingestion studies and wildlife conservation using a phylogenetically informed analysis of a 57-year global dataset representing nearly 50,000 birds (Avery-Gomm et al., in review). I discover that diet, foraging method, age class and the decade of study partly explain observed patterns of plastic ingestion across the full phylogeny of seabirds. I develop predictions of plastic ingestion risk for all seabird species and conclude that plastic ingestion is already likely to be ubiquitous across all species. To guide future research on monitoring and mitigation, I highlight several highly vulnerable species that should be priorities for investigations of plastic ingestion including the Critically Endangered Magenta Petrel (Pterodroma magentae), Long-Tailed Jaeger (Stercorarius longicaudus), Endangered Newell’s Shearwater (Puffinus newelli), Little Shearwater (Puffinus assimilis), Vulnerable Hawaiian Petrel (Pterodroma sandwichensis) and Endangered Black-Capped Petrel (Pterodroma hasitata).Plastic pollution is one of many threats and environmental factors that affect marine organisms. Uncertainty about how the impacts from plastic ingestion will interact with other components of seabird ecology to affect population dynamics will be difficult to resolve fully. Thus, our understanding of plastic pollution as a threat to biodiversity is, and will likely remain, rife with uncertainty. Given the informational limits, straightforward approaches for dealing with uncertainty in a conservation decision-making context are critical. In Chapter 6, I present an approach that illustrates that data uncertainty does not always preclude cost-effective, transparent decision making using a decision-science problem involving the prioritisation of funding for threatened species recovery (Avery-Gomm et al., in prep).Plastic pollution pervades nearly all marine environments, from the deep sea to the poles. My results suggest that plastic has probably contaminated all seabird species, and highlight why urgent action at the international level is necessary. My thesis advances the field of wildlife plastic research and conservation of vulnerable species by contributing to our ability to detect, quantify and characterise plastics in the environment, improving our understanding of the exposure, impacts and occurrence of plastics in wildlife, and helping to explore uncertainty in the context of complex cost-effective, values-based conservation decisions.

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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,861
Score d'incertitude au seuil0,646

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 technologies0,0000,000
Communication savante0,0000,000
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 Opus0,008
Tête enseignante GPT0,172
Écart entre enseignants0,164 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations8
Publié2020
Routes d'admission1
Résumé présentoui

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Même revueThe University of QueenslandMême sujetMicroplastics and Plastic PollutionTravaux en français237 207