Zoeken
Zoeken kan via de modus 'eenvoudig zoeken' (één veld) of uitgebreid via 'geavanceerd zoeken' (meerdere velden). Zo kan je bv. zoeken op een combinatie van een auteursnaam (auteur), een jaartal (jaar) en een documenttype.
Boekenmand
Nuttige resultaten kan je aanvinken en toevoegen aan een mandje. De inhoud hiervan kan je exporteren of afdrukken (naar bv. PDF).
RSS
Op de hoogte blijven van nieuw toegevoegde publicaties binnen uw interessegebied? Dit kan door een RSS-feed (?) te maken van jouw zoekopdracht.
nieuwe zoekopdracht
Marine litter footprint in the Azores Islands: A climatological perspective
Pieper, C.; Magalhães Loureiro, C.; Law, K.L.; Amaral-Zettler, L.A.; Quintino, V.; Rodrigues, A.M.; Ventura, M.A.; Martins, A. (2021). Marine litter footprint in the Azores Islands: A climatological perspective. Sci. Total Environ. 761: 143310. https://doi.org/10.1016/j.scitotenv.2020.143310
In: Science of the Total Environment. Elsevier: Amsterdam. ISSN 0048-9697; e-ISSN 1879-1026, meer
| |
| Trefwoord |
|
| Author keywords |
Marine debris; Plastic; Time-series; Beach; Monitoring |
| Auteurs | | Top |
- Pieper, C.
- Magalhães Loureiro, C.
- Law, K.L.
- Amaral-Zettler, L.A.
|
- Quintino, V.
- Rodrigues, A.M.
- Ventura, M.A.
- Martins, A.
|
|
| Abstract |
Marine litter (ML) consists of any item of anthropogenic origin that has been lost, discarded or intentionally disposed of into the environment, being acknowledged as a worldwide environmental and ecological threat. In the last decade, there has been an attempt across different sectors to tackle, reduce and mitigate sources of litter. In this study, meso and macrodebris between 2 and 30 cm was recorded and classified in two established study areas (Porto Pim and Conceição beaches), throughout five monitoring years (2012–2018). The litter abundance, density and weighted average by abundance were evaluated in eight main categories: plastics, cloths/fabrics, glass, metals, rubber, processed lumber, other and large. Field surveys provided evidence that plastic represented 95% of all litter. ML abundance was treated as an “environmental variable” and used to determine its anomalies, temporal trends and forecasts. Results from this time-series addressed possible periodic oscillations and density peaks of litter. Reference values of ML presence were obtained and could potentially be used for developing a diagnostic tool for anthropogenic pollution in the Azores. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.