Blue Carbon Opportunities for the Lower Shoalhaven River
Notice bibliographique
Résumé
Blue Carbon Ecosystems (BCE) play an important role as profound carbon reservoirs and have the potential to sequester more carbon in an area than any other ecosystem. This has sparked interest in these ecosystems and their potential for use in climate mitigation strategies and more specifically, carbon abatement. BCEs can be restored in areas which have been tidally modified through anthropogenic interventions. One such location which has experienced anthropogenic tidal regime modification is the Lower Shoalhaven River region - a region that has a broad floodplain with many floodgates separating rivers, creeks, and associated tributaries from the tidal influences of the Shoalhaven River Estuary. Recent studies have investigated the Blue Carbon potential at a national and state level, but there are limited studies on the application on a regional scale. Accordingly, using the Blue Carbon Accounting Model (BlueCAM) and its derivative, the Forward Abatement Estimator (FAE) this study aimed to 1. Identify Blue Carbon abatement potential across the Lower Shoalhaven Floodplain, 2. Investigate abatement upstream of a floodgate as a case study to provide insight into tidal restoration of Blue Carbon Ecosystems. 3. Identify social, economic, and environmental impacts of tidal restoration and recommend strategies to overcome these impacts and maximise abatement. Abatement potential was determined using LiDAR data in conjunction with land use mapping, to create elevation layers separated by land use and stratified to enable FAE and BlueCAM abatement values. This was done for a 25 year and 100 year permanence periods. Abatement potential and suitability for BCE ecosystems was also interrogated upstream of a single floodgate and if this floodgate had a limited opening. This study found that areas with low carbon stocks were more suitable for Blue Carbon projects due to these areas having lower ecosystem transition costs. Areas with lower elevations were deemed less suitable for Blue Carbon projects as these areas would go through multiple ecosystem transitions imposed by the variability in salinity levels by anthropogenic climate change and more specifically, sea level rise. The Lower Shoalhaven River was estimated to have the potential for high abatement, worth millions of dollars. It was found that the FAE was better suited to determining future abatement potential when compared to BlueCAM, but the latter was more suited to reporting on ongoing Blue Carbon project. This study recommends the investigation and potential modification of the Forward Abatement Estimator by the ERF, with the possibility of inclusion of the FAE in the tidal restoration of Blue Carbon ecosystems method. Further study into sites identified in this study as having a high abatement potential should be conducted with greater resolution. Finally, studies should be conducted to identify values, concerns and issues of landholders and communities since such engagement is necessary to ensure a balance between the use of the land and the pursuit of carbon abatement opportunities. Overall, this study recommends that Blue Carbon projects in the Lower Shoalhaven region should target grazing areas and work alongside affected landholders to achieve triple bottom line outcomes – economic, environmental and social sustainability.
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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) | 0,000 | 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 ».