A First Attempt at Modeling the Global Reservoir of Plastic in Biota: A Case Study With Sea Turtles
Notice bibliographique
Résumé
Marine wildlife ingest plastic, making them a reservoir for plastic debris. To date, we lack estimates of how much plastic resides within marine animals globally, making it difficult to reconcile the fate of plastic in the global ocean. To help fill this knowledge gap, we collected data on amount of plastic debris found in sea turtles necropsy studies from the scientific literature up until 1 January 2020. We aimed to use this data (n = 60), along with predictor variables, in a regression model to quantify how much plastic resides within sea turtles globally. We found that geographic (absolute latitude), socioeconomic (income of country), and ecological (species name) indicators significantly correlate with how much plastic is found in sea turtle gastrointestinal tracts. Our multispecies model suggests that leatherback turtles (Dermochelys coriacea) contain the most plastic in their gastrointestinal tracts, and loggerhead turtles (Caretta caretta) contain the least. This presents one of the first attempts to understand which sea turtle species has the highest propensity for plastic ingestion. Due to limited data, we were only able to estimate the amount of plastics that reside in female green turtles (Chelonia mydas) globally for a snapshot in time. Here, we provide the first estimate of a global marine animal reservoir of plastic-we estimate that at any given time, female green turtles carry 5.6-6.4 tonnes of plastic in their gastrointestinal tracts. We discuss future research directions to help reduce the uncertainty surrounding this estimate and fill in the gaps for other species. Plain Language Summary To date, it is poorly understood where plastic ends up in the ocean and in what amounts. Marine animals ingest plastic debris, making them a resting place or reservoir of plastic. Our objective was to quantify how much plastic resides within the stomachs of sea turtles at any given time, as a first step toward understanding how much plastic pollution resides within all marine animals. We built a regression model and used it to estimate that 5.6-6.4 tonnes of plastic reside within female green sea turtles (Chelonia mydas) globally. This is the first global estimate of a marine animal reservoir of plastic. By building this model, we also explored various factors that could potentially influence how much plastic debris a turtle ingests, including the geography of where turtles live, socioeconomic factors, and the foraging behavior of turtles. Our model also shows that leatherback turtles (Dermochelys coriacea) is most prone to plastic ingestion; the relative propensity for plastic ingestion across sea turtle species has rarely been explored before this study. Ultimately, our findings help to fill a major knowledge gap in the field of plastic pollution, and inform priorities for sea turtle conservation efforts.
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) | 0,000 | 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 ».