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Corresponding author: Maria Carmela Caria ( mccaria@uniss.it ) Academic editor: Irena Axmanová
© 2025 Agnese Denaro, Maria Carmela Caria, Marco Malavasi, Giovanni Rivieccio, Raimondo Melis, Emmanuele Farris, Alfredo Maccioni, Angela Bruno, Michela Fadda, Alicia Teresa Rosario Acosta, Simona Sarmati, Marta Gaia Sperandii, Simonetta Bagella.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Denaro A, Caria MC, Malavasi M, Rivieccio G, Melis R, Farris E, Maccioni A, Bruno A, Fadda M, Acosta ATR, Sarmati S, Sperandii MG, Bagella S (2025) Resurveying Mediterranean coastal dunes: insights from the ReSarDu database. Vegetation Ecology and Diversity 62: e174934. https://doi.org/10.3897/ved.174934
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The vegetation resurvey is considered a valid approach for assessing how species composition, abundance, and distribution have evolved in response to anthropogenic pressures, climate change, and habitat alterations over recent decades. ReSarDu – Resurvey Sardinian Dunes – is the first regional database compiled from resurveys of coastal dune systems across Sardinia (Italy). It includes 418 resurveys ranging in size from 1 to 400 m2, collected between 2023 and 2025, based on 188 historical phytosociological relevés dating back to the 1970s.
ReSarDu has been created to understand long-term vegetation changes in Sardinian coastal dune systems. By integrating historical and newly collected phytosociological data, we provide a comprehensive tool for assessing biodiversity trends and supporting effective conservation and restoration strategies.
Coastal dunes, Habitats Directive, Italy, old surveys, phytosociological relevés, resurvey, Sardinia, vegetation
Assessing biodiversity change in the Anthropocene poses a significant challenge; therefore, the development of accessible databases is crucial to support ecological research and guide effective conservation strategies, addressing global biodiversity loss (
A large amount of available vegetation data, encompassing extensive coverage in terms of space, habitats, and time, derive from phytosociological relevés (
A key methodological approach underpinning such databases is the resurvey of historical sites i.e. revisiting previously studied locations to resample historical relevés. This approach offers opportunities to study temporal vegetation changes with acceptable relocation accuracy and quantify long-term biodiversity dynamics (
Vegetation resurvey is considered a valid approach for assessing how species composition, abundance, and distribution have evolved in response to anthropogenic pressures, climate change, and habitat alterations over recent decades (
In Europe, the ecological importance of coastal dune systems is formally recognized under the Habitats Directive (
Sardinia, a Mediterranean hotspot of plant diversity (
Despite their conservation and economic importance, most Sardinian dune systems, although supported by a considerable amount of historical data, have not been recently monitored to assess long-term changes in vegetation.
Resurveying Sardinian dunes is thus essential for tracking long-term temporal trends in plant biodiversity and supporting successful conservation and restoration measures.
This article introduces the first regional database, Resurvey Sardinian Dunes (ReSarDu), compiled from resurveys of coastal dune systems across Sardinia (Italy). The database includes data from historical surveys dating back to the 1970s and from resurveys carried out at the same sites in 2023–2025.
Specifically, this paper aims to: (i) fill the knowledge gap relative to biodiversity changes in Mediterranean dune vegetation through the last decades; (ii) provide a further contribution to ReSurveyDunes (
For the resurvey, we selected 188 historical phytosociological relevés (hereafter old surveys) mainly distributed along the northeastern and southwestern Sardinian coasts (Fig.
The old plots to be resurveyed were selected based on several attributes, such as location, to ensure maximum spatial distribution, and the possibility of identifying their position as precisely as possible. To achieve this objective, for example, all past surveys carried out by the surveyors involved in the resurvey campaign were included.
Among the 188 selected old surveys, 73 exhibited low relocation uncertainty and were consequently considered as performed in quasi-permanent plots. The remaining 115, lacking detailed location information, were considered as performed in non-traceable plots (
For each non-traceable plot, following
Resurveying was conducted between 2023 and 2025 considering the same plot area and season of the old surveys. The shape was mainly rectangular, following the distribution of vegetation along transects. The occurrence of all vascular plant species was recorded, and species abundance was visually estimated using the Braun-Blanquet seven-degree scale (
Each new survey was assigned to a specific habitat type according to the EU Habitats Directive (92/43/EEC), based on the presence/abundance of typical or characteristic species (
Number of old surveys in Sardinia (Italy) grouped by (a) sampling periods and (b) size (m2), and habitat types as defined in the Annex I of Habitats Directive (92/43/EEC): 1210 – annual vegetation of drift lines, 2110 – embryonic shifting dunes, 2120 – shifting dunes along the shoreline with Ammophila arenaria, 2210 – Crucianellion maritimae fixed beach dunes, and 2230 – Malcolmietalia dune grasslands.
The ReSarDu database serves as a valuable resource for understanding long-term vegetation changes in Mediterranean coastal dune systems. By integrating historical and newly collected phytosociological data, we provide a comprehensive tool for assessing biodiversity trends and supporting effective conservation and restoration strategies. Being composed of georeferenced data, ReSarDu has the potential to help address existing knowledge biases regarding the flora of Sardinia (
The database constitutes a reservoir of georeferenced plots that can be repeatedly monitored in the coming years, offering unique opportunities to investigate temporal trajectories of plant communities, assess the impacts of anthropogenic pressures and climate change, and evaluate the success of management actions.
The standardized structure of ReSarDu ensures compatibility and interoperability with national and international vegetation databases, such as ReSurveyDunes and ReSurveyEurope, thereby promoting data sharing and facilitating large-scale ecological analyses across Mediterranean coastal systems.
Bagella S., Caria M.C., Denaro A., Malavasi M.: Conceptualization. Bagella S., Caria M.C., Denaro A., Farris E., Malavasi M.: Methodology. Denaro A., Rivieccio G., Maccioni A., Farris E., Bagella S., Caria M.C., Fadda M., Bruno A., Malavasi M.: Investigation. Denaro A., Sperandii M.G., Malavasi M.: Data Curation. Bagella S., Denaro A.: Writing – Original Draft. All authors: Writing – Review & Editing. Farris E., Bagella S.: Funding Acquisition.
The authors declare that they have no conflict of interest. Simonetta Bagella is an Associate Editor, Alicia Teresa Rosario Acosta, Emmanuele Farris, and Maria Carmela Caria are part of the Editorial Review Board in Vegetation Ecology and Diversity but took no part in the peer review or decision-making process for this manuscript.
By the end of the project, we plan to integrate ReSarDu into VegItaly database (GIVD: EU-IT-001). The data sharing will be fully accessible upon specific request to the database custodians (Agnese Denaro adenaro@uniss.it; Simonetta Bagella sbagella@uniss.it).
This article was supported by e.INS- Ecosystem of Innovation for Next Generation Sardinia (cod. ECS 00000038) funded by the Italian Ministry for Research and Education (MUR) under the National Recovery and Resilience Plan (NRRP) – MISSION 4 COMPONENT 2, “From research to business” INVESTMENT 1.5, “Creation and strengthening of Ecosystems of innovation” and construction of “Territorial R&D Leaders”
The authors acknowledge NBFC, funded by the Italian Ministry of University and Research, PNRR, Missione 4 Componente 2, “Dalla ricerca all’impresa”, Investimento 1.4, Project CN00000033.