The use of seagrass (Zostera muelleri) habitat by Canada geese (Branta canadensis) in Waikato estuaries.
Notice bibliographique
Résumé
Seagrass beds are highly biodiverse habitats delivering key ecosystem functions and services to mankind. Zostera muelleri is New Zealand’s single seagrass species, and occurs intertidally within several estuaries and sheltered harbours. However, these habitats are globally in decline due to the impacts of multiple stressors including eutrophication, turbidity, coastal urbanisation, sedimentation, and sea level rise. Herbivory by waterfowl is a relatively unknown biotic disturbance that may cause additional stress to these vulnerable seagrass habitats. Canada geese (Branta canadensis) were introduced to New Zealand in 1905, and have since been increasing in numbers since a change in species management. In response to increase in Canada geese populations and use of estuaries along the West coast, the Waikato Regional Council commissioned this MSc (Research) study to investigate the consumption of Zostera by Canada geese in Kawhia and Whāingaroa (Raglan) harbours, West coast of the North Island, New Zealand. \n \nIn order to better understand the grazing pressure placed on seagrass habitats, a three part investigation was conducted. Behaviours of Canada geese on Zostera beds were observed in January and February (2019), at two sites in Whāingaroa Harbour, with geese numbers varying between 8 to 200 at any one time. Observations indicated that foraging incorporated a large proportion of their behavioural budget (> 85%), and birds utilised several destructive methods to forage on both above and below-ground Zostera biomass. Foraging was significantly reduced by disturbance events less than 30 m away and was also influenced by group size. Repeat observations in June and July 2019, were not possible as geese were no longer present on the Zostera beds. \n \nCanada geese samples were collected to investigate bird diet across a temporal scale; from Kawhia between July to November 2019 (n = 33), and from Raglan between August to September 2020 (n = 26). Gut contents analysis showed that more than 70% of specimens consumed solely pasture in the two hours prior to sampling. Bayesian mixing models in MixSIAR were used for δ¹⁵N and δ¹³C stable isotope analysis to evaluate the assimilated diet three to four days (plasma), three to four weeks (red blood cells) and several months (primary feathers) prior to sampling. Pasture was the dominant food source (75 to 93%) contributing to all three tissue types. \n \nThis study aimed to provide insight into the consumption of seagrass (Zostera muelleri) by Canada geese, and determine the proportion of their diet that came from Zostera relative to pasture grass. Although Canada geese were observed feeding on Zostera during the dry summer months, gut and isotope samples could not support this, as they were collected during the winter/spring months. This difference indicates that the period where Canada geese exploit seagrass was not captured in the isotope study. Post-moult gut and tissue sampling (from late January) would confirm if these birds use the more digestible Zostera to meet their nutritional demands during the dry summer season as pasture grass becomes less nutritious or digestible.
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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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».