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Evaluating Seagrass Meadow Dynamics by Integrating Field-Based and Remote Sensing Techniques
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104372/ https://www.ncbi.nlm.nih.gov/pubmed/35567197 http://dx.doi.org/10.3390/plants11091196 |
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author | Ivajnšič, Danijel Orlando-Bonaca, Martina Donša, Daša Grujić, Veno Jaša Trkov, Domen Mavrič, Borut Lipej, Lovrenc |
author_facet | Ivajnšič, Danijel Orlando-Bonaca, Martina Donša, Daša Grujić, Veno Jaša Trkov, Domen Mavrič, Borut Lipej, Lovrenc |
author_sort | Ivajnšič, Danijel |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9104372 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91043722022-05-14 Evaluating Seagrass Meadow Dynamics by Integrating Field-Based and Remote Sensing Techniques Ivajnšič, Danijel Orlando-Bonaca, Martina Donša, Daša Grujić, Veno Jaša Trkov, Domen Mavrič, Borut Lipej, Lovrenc Plants (Basel) Article 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. MDPI 2022-04-28 /pmc/articles/PMC9104372/ /pubmed/35567197 http://dx.doi.org/10.3390/plants11091196 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ivajnšič, Danijel Orlando-Bonaca, Martina Donša, Daša Grujić, Veno Jaša Trkov, Domen Mavrič, Borut Lipej, Lovrenc Evaluating Seagrass Meadow Dynamics by Integrating Field-Based and Remote Sensing Techniques |
title | Evaluating Seagrass Meadow Dynamics by Integrating Field-Based and Remote Sensing Techniques |
title_full | Evaluating Seagrass Meadow Dynamics by Integrating Field-Based and Remote Sensing Techniques |
title_fullStr | Evaluating Seagrass Meadow Dynamics by Integrating Field-Based and Remote Sensing Techniques |
title_full_unstemmed | Evaluating Seagrass Meadow Dynamics by Integrating Field-Based and Remote Sensing Techniques |
title_short | Evaluating Seagrass Meadow Dynamics by Integrating Field-Based and Remote Sensing Techniques |
title_sort | evaluating seagrass meadow dynamics by integrating field-based and remote sensing techniques |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104372/ https://www.ncbi.nlm.nih.gov/pubmed/35567197 http://dx.doi.org/10.3390/plants11091196 |
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