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Wetland Geospatial data Harmonization: an Open Catalogue for the Massaciuccoli Lake Basin

Vannini, Gian Luca

Abstract

The document illustrates the harmonisation workflow of wetland geospatial data, focusing on the case of the 'Massaciuccoli Lake Basin'. The importance of wetlands as biodiversity reserves, vital habitats and ecological connectors is emphasised, as well as their crucial role in providing ecosystem services. The methodology designed to spatially characterise these areas is described through a chart representing the semi-automatic workflow developed to harmonise the data. 148 datasets representing 75 environmental, geomorphological and socio-economic variables were collected from various public bodies. These data, covering five time periods from the remote past (1950-1980) to the far future 2100 (under RCP 2.6, 4.5 and 8.5), were aligned and resampled with a spatial resolution of 0.0005° (~50 m). The result is an open geospatial data catalogue, INSPIRE-compliant and accessible via online platforms, useful for ecosystem modelling and sustainable wetland management.

Full text

Different Habitats Ecological networks Vital Biodiversity Reserves Biodiversity conservation Wetland Geospatial data Harmonization: an Open Catalogue for the Massaciuccoli Lake Basin Gian Luca Vannini Istituto di Scienza e Tecnologie dell'Informazione “A. Faedo”-CNR, Pisa, Italy Dipartimento di Scienze Agrarie, Alimentari e Agro-ambientali -Università di Pisa, Italy Contact: [email protected] Context Wetlands are important biodiversity reserves and represent critical ecosystems. These environments include an extraordinary diversity of plants, animals and aquatic species. They contribute substantially to the preservation of biological diversity and provide a wide range of habitats. These areas also acts as vital connectors within larger ecological networks. They influence the surrounding areas and enrich the overall biodiversity of entire ecosystems. Additionally, wetlands provide many ecosystem services, from climate regulation to water purification, carbon sequestration, food supply, tourism and recreation. It is essential to develop ecosystem models that predict the evolution of the area starting from a cognitive reference framework. The Massaciuccoli Lake Basin is a RAMSAR wetland located in the Versilia Plain, a particular transition area between the Apuan Alps and the Tyrrhenian Sea. This area is an important natural attraction in Tuscany. Thanks to its hydrogeological, environmental and chemical characteristics, the area is home to native and rare species. The lake area is also an important hub for the migratory routes of many birds but at the same time, these characteristics also influence the presence of invasive alien species introduced by humans. Case Study Methodology Harmonization of Geodata Cognitive Framework To spatially characterize the wetlands and describe the main variables related to ecosystem services, a semi-automatic workflow was defined. 148 datasets representing 75 environmental, geomorphological and socioeconomic variables associated with the Lake Massaciuccoli Basin were collected. The data cover five temporal snapshots: remote past (19501980), near past (1981-2015), present (2016-2024), near future (2050 according to RCP2.6, RCP4.5 and 8.5) and far future (2100 according to RCP2.6, RCP4.5 and 8.5). The raster data were harmonized and resampled to a resolution of 0.0005° (~50 m). The vector data were aligned and cropped to the basin boundaries. The metadata, compliant with the INSPIRE directive, contains descriptions of the data contents, primary sources and their levels of FAIRness. Score Reusability in ecosystem models Data with more temporal extensions Resolution > 50 m only for projecting data into the future or the past Ground resolution <= 0.0005° ≈ 50 m Temporal aggregation Resampled to 0.0005° (~50 m) Reprojection WGS 84 (EPSG 4326) Clipped on the borders Data Census Data Publication Open GeoCatalogue Result Data Selection Data Alignment Tuscany Link https://zenodo.org/records/11243783 https://services.d4science.org/group/itineris_criticalzonevre/geonetwork