| Title: |
Mapping and Characterizing Eelgrass Meadows Using UAV Imagery in Placentia Bay and Trinity Bay, Newfoundland and Labrador, Canada |
| Authors: |
Sneep, Aaron; Devillers, Rodolphe; Robert, Katleen; Lebris, Arnault; Edinger, Evan |
| Contributors: |
Memorial University of Newfoundland = Université Memorial de Terre-Neuve St. John's, Canada (MUN); UMR 228 Espace-Dev, Espace pour le développement; Institut de Recherche pour le Développement (IRD)-Université de Perpignan Via Domitia (UPVD)-Avignon Université (AU)-Université de La Réunion (UR)-Université de la Nouvelle-Calédonie (UNC)-Université de Guyane (UG)-Université des Antilles (UA)-Université de Montpellier (UM); Fisheries and Oceans Canada’s Coastal Environmental Baseline Program as part of the ‘Coastal habitat mapping of Placentia Bay’ project. |
| Source: |
ISSN: 2071-1050 ; Sustainability ; https://hal.science/hal-04553977 ; Sustainability, 2024, 16 (3471), ⟨10.3390/su16083471⟩. |
| Publisher Information: |
CCSD; MDPI |
| Publication Year: |
2024 |
| Collection: |
Université de Perpignan: HAL |
| Subject Terms: |
Sustainability; Monitoring; Human activities; OBIA; Seagrass; Drone; Zostera marina; [SDE]Environmental Sciences |
| Description: |
International audience ; Sustainable coastal social–ecological systems rely on healthy ecosystems known to provide benefits to both nature and people. A key ecosystem found globally is seagrass, for which maps at a scale relevant to inform conservation and management efforts are often missing. Eelgrass (Zostera marina), a species of seagrass found throughout the northern hemisphere, has been declining in Placentia Bay, an ecologically and biologically significant area of Canada’s east coast subject to an increasing human impact. This research provides baseline information on the distribution of eelgrass meadows and their anthropogenic stressors at seven sites of Placentia Bay and three sites of the adjacent Trinity Bay, on the island of Newfoundland. High-resolution maps of eelgrass meadows were created by combining ground-truth underwater videos with unmanned aerial vehicle imagery classified with an object-based image analysis approach. Visual analyses of the imagery and underwater videos were conducted to characterize sites based on the presence of physical disturbances and the semi-quantitative cover of epiphytes, an indication of nutrient enrichment. A total eelgrass area of ~1 km2 was mapped across the 10 sites, with an overall map accuracy of over 80% for 8 of the 10 sites. Results indicated minimum pressures of physical disturbance and eutrophication affecting eelgrass in the region, likely due to the small population size of the communities near the eelgrass meadows. These baseline data will promote the sustainability of potential future coastal development in the region by facilitating the future monitoring and conservation of eelgrass ecosystems. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
IRD: fdi:010090645 |
| DOI: |
10.3390/su16083471 |
| Availability: |
https://hal.science/hal-04553977; https://hal.science/hal-04553977v1/document; https://hal.science/hal-04553977v1/file/Sneep-sustainability-2024.pdf; https://doi.org/10.3390/su16083471 |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/OpenAccess |
| Accession Number: |
edsbas.62D7ECC9 |
| Database: |
BASE |