| Title: | Evaluating seagrass meadow dynamics by integrating field-based and remote sensing techniques |
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| Authors: | ID Ivajnšič, Danijel (Author)
ID Orlando-Bonaca, Martina (Author)
ID Donša, Daša (Author)
ID Grujić, Jaša Veno (Author)
ID Trkov, Domen (Author)
ID Mavrič, Borut (Author)
ID Lipej, Lovrenc (Author) |
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| Files: |  URL - Source URL, visit https://doi.org/10.3390/plants11091196
 PDF - Presentation file, download (3,45 MB)
MD5: 42419C1B9500903DB0C1C4150247CD44
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  NIB - National Institute of Biology
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| Abstract: | Marine phanerogams are considered biological sentinels or indicators since any modification in seagrass meadow distribution and coverage signals negative changes in the marine environment. In recent decades, seagrass meadows have undergone global losses at accelerating rates, and almost one-third of their coverage has disappeared globally. This study focused on the dynamics of seagrass meadows in the northern Adriatic Sea, which is one of the most anthropogenically affected areas in the Mediterranean Sea. Seagrass distribution data and remote sensing products were utilized to identify the stable and dynamic parts of the seagrass ecosystem. Different seagrass species could not be distinguished with the Sentinel-2 (BOA) satellite image. However, results revealed a generally stable seagrass meadow (283.5 Ha) but, on the other hand, a stochastic behavior in seagrass meadow retraction (90.8 Ha) linked to local environmental processes associated with anthropogenic activities or climate change. If systemized, this proposed approach to monitoring seagrass meadow dynamics could be developed as a spatial decision support system for the entire Mediterranean basin. Such a tool could serve as a key element for decision makers in marine protected areas and would potentially support more effective conservation and management actions in these highly productive and important environments. |
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| Keywords: | Adriatic Sea, seagrass meadow, change analysis, Cimodocea nodosa, image classifiers, Sentinel-2, marine biology, hydrobiology |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 28.04.2022 |
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| Year of publishing: | 2022 |
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| Number of pages: | str. [1]-15 |
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| Numbering: | Vol. 11, iss. 9 |
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| PID: | 20.500.12556/DiRROS-19348  |
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| UDC: | 582.533.1 |
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| ISSN on article: | 2223-7747 |
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| DOI: | 10.3390/plants11091196 |
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| COBISS.SI-ID: | 106441987 |
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| Note: | Nasl. z nasl. zaslona;
Ostali avtorji: Martina Orlando Bonaca, Daša Donša, Veno Jaša Grujić, Domen Trkov, Borut Mavrič, Lovrenc Lipej;
Opis vira z dne 4. 5. 2022;
Št. članka: 1196;
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| Publication date in DiRROS: | 16.07.2024 |
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| Views: | 296 |
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| Downloads: | 218 |
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