Research Article |
Corresponding author: Giuseppe Venturella ( giuseppe.venturella@unipa.it ) Academic editor: Ricarda Riina
© 2018 Gianniantonio Domina, Giuseppe Venturella, Maria Letizia Gargano.
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:
Domina G, Venturella G, Gargano ML (2018) Synthetic cartography for mapping biodiversity in the Mediterranean region: Sicily as a case study. PhytoKeys 109: 77-92. https://doi.org/10.3897/phytokeys.109.28297
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This paper proposes a new hierarchical land classification system for the mapping of species distribution at national or regional scales. Our integrative framework incorporates two hierarchical levels inferred from historical, climatic, geomorphological and geological attributes. The feasibility of this proposal is based on the use of historical collections and literature data, as well as on its ability to combine old low-precision data with more recent records of higher resolution. The system is set up for vascular plants, but it can also be used for other taxonomic groups. Furthermore, it has the potential for application to the whole Mediterranean region because it is based on information that is generally available in all Mediterranean countries. This model is tested with the distribution of loci classici of the Italian endemic plants occurring in Sicily.
plants, distribution, biological collections, spatial analysis, data analysis, GIS software
Biodiversity mapping is widely considered as the basis for effective territorial and conservation planning. In the last 20 years, thanks in part to the development of GIS tools, the accuracy, quality and speed of realisation of such mapping has increased significantly (
Although this approach has the advantage of ease of data collection regarding the areas investigated, subsequent statistical processing of the results may be difficult due to the irregular size of the geographic units. On the other hand, whereas the use of regular grids facilitates statistical analysis, e.g. the identification of grid cells of higher biodiversity (
Although subdivision into kilometric squares is currently little used, it does allow reference to areas of equal size. The Floristic Cartography Project of Central Europe was based on the geographical division of the territory (
As a result of the increasing use of GPSs and easy access to geo-referenced maps (e.g. Google Earth), an almost global transition in the survey of primary biodiversity data has taken place from OGU-based systems to point systems (e.g.
Nevertheless, herbaria and other historical collections remain one of the main sources of primary biodiversity data that should not be neglected. This is true both for historical data from countries that are also covered by updated surveys, for the study of trends, but also for those countries for which data sets more than 50 years old remain the most abundant. Therefore, a problem has arisen concerning the use of low resolution data either on their own or together with more detailed datasets.
The key problem in organising a classification system based on biologically homogeneous areas is the development of the criteria used to identify homogeneity at different spatial scales (disregarding time). In fact, different natural processes occur on different temporal scales (
Typically, the land attributes used to classify homogeneous areas include flora, climate, lithology, geomorphology, human activities, soil, vegetation and fauna (
Sicily is located at the centre of the Mediterranean Basin and is considered one of its most important biodiversity hotspots (
Sicily is surrounded by more than 300 smaller islands and islets, some of which are only rocks isolated from the mainland, on which plants permanently occur. According to
A geographical information system was used to collate the information and to draw the maps (QGIS 3.0, https://www.qgis.org). The base maps are, in order: a 20 × 20 m Digital Terrain Model (http://wms.pcn.minambiente.it); a map of regional water bodies (http://www.pcn.minambiente.it/arcgis/services); a structural map of Sicily (
Area boundaries were traced according to level curves, rivers and geological structures. We started tracing the outlines of the areas historically visited by botanists following
Groups | Units | Subunits |
---|---|---|
1. Islands | 1.1 Egadi | 1.1.1 Egadi |
1.2 Ustica | 1.2.1 Ustica | |
1.3 Eolie | 1.3.1 Eolie | |
1.4 Pelagie | 1.4.1 Lampedusa & Lampione | |
1.4.2 Linosa | ||
1.5 Pantelleria | 1.5.1 Pantelleria | |
2. Coasts | 2.1 Northern coast | 2.1.1 Northern coast |
2.2 Eastern coast | 2.2.1 Eastern coast | |
2.3 Southern and Western coast | 2.3.1 Southern and Western coast | |
3. Hills and plains | 3.1 Western Sicily and inland Palermo | 3.1.1 Western Sicily |
3.1.2 Inland Palermo | ||
3.2 Hilly inland | 3.2.1 Sulphur serie | |
3.2.2 Upper Himera basin | ||
3.2.3 Central Clayey | ||
3.2.4 Plain of Catania | ||
3.2.5 Sandy plain of Gela and Caltagirone | ||
4. Mountain Systems | 4.1 Mts of Trapani | 4.1.1 Mts of Trapani |
4.2 Mts of Palermo | 4.2.1 Mts of Palermo | |
4.3 Sicani Mts | 4.3.1 Sicani Mts | |
4.4 Madonie Mts | 4.4.1 Upper Madonie | |
4.4.2 Lower Madonie | ||
4.5 Erei Mts | 4.5.1 Erei Mts | |
4.6 Nebrodi Mts | 4.6.1 Upper Nebrodi | |
4.6.2 Lower Nebrodi | ||
4.7 Peloritani Mts | 4.7.1 Peloritani Mts | |
4.8 Etna Mt. | 4.8.1 Upper Etna Mt. | |
4.8.2 Lower Etna Mt. | ||
4.9 Iblei and Siracusa Mts | 4.9.1 Iblei Mts | |
4.9.2 Lower Iblei and Siracusa Mts |
In order to verify the adequacy and the advantage of the proposed model, we used the dataset of the loci classici (localities reported in protologues) of the Italian endemics described from Sicily (
Overall, the Sicilian territory can be divided into four main groups: islands, coasts, hills and plains and mountains (Fig.
Coasts are subdivided according to the nature of their substratum and morphology (mainly sandy in the south and rocky in the north). This diversity is reflected in the presence of species exclusive to coastal cliffs (class Chitmo-Limonietea Br.-Bl.) or sandy dunes (class Cakiletea maritimae Br.-Bl. & Tüxen). The Sicilian hinterland is more homogeneous from a floristic point of view and thus can be considered as a single unit. In contrast, the subdivision of the hilly inland on the basis of substrate allows, for example, to highlight areas containing species restricted to the local gypsum-sulphur formation. Although the plant landscape of the region is largely anthropogenic (
In total, we projected 472 points on the map (Fig.
Overall (Table
Occurrence of loci classici of the Italian endemic flora in the recognised groups, units and subunits.
Groups | Loci | Units | Loci | Subunits | Loci |
---|---|---|---|---|---|
1. Islands | 71 | 1.1 Egadi | 17 | 1.1.1 Egadi | 17 |
1.2 Ustica | 1 | 1.2.1 Ustica | 1 | ||
1.3 Eolie | 28 | 1.3.1 Eolie | 28 | ||
1.4 Pelagie | 18 | 1.4.1 Lampedusa & Lampione | 16 | ||
1.4.2 Linosa | 2 | ||||
1.5 Pantelleria | 7 | 1.5.1 Pantelleria | 7 | ||
2. Coasts | 59 | 2.1 Northern | 21 | 2.1.1 Northern | 21 |
2.2 Eastern | 14 | 2.2.1 Eastern | 14 | ||
2.3 Southern and Western | 24 | 2.3.1 Southern and Western | 24 | ||
3. Hills and plains | 65 | 3.1 West Sicily and Palermo’s inland | 31 | 3.1.1 West Sicily | 15 |
3.1.2 Palermo’s inland | 16 | ||||
3.2 Hilly inland | 34 | 3.2.1 Sulphur serie | 12 | ||
3.2.2 Upper Himera basin | 6 | ||||
3.2.3 Central Clayey | 11 | ||||
3.2.4 Plain of Catania | 0 | ||||
3.2.5 Sandy plain of Gela and Caltagirone | 5 | ||||
4. Mountain Systems | 277 | 4.1 Mts of Trapani | 4 | 4.1.1 Mts of Trapani | 4 |
4.2 Mts of Palermo | 53 | 4.2.1 Mts of Palermo | 53 | ||
4.3 Sicani Mts | 6 | 4.3.1 Sicani Mts | 6 | ||
4.4 Madonie Mts | 101 | 4.4.1 Upper Madonie | 74 | ||
4.4.2 Lower Madonie | 27 | ||||
4.5 Erei Mts | 9 | 4.5.1 Erei Mts | 9 | ||
4.6 Nebrodi Mts | 32 | 4.6.1 Upper Nebrodi | 9 | ||
4.6.2 Lower Nebrodi | 23 | ||||
4.7 Peloritani Mts | 20 | 4.7.1 Peloritani Mts | 20 | ||
4.8 Etna Mt. | 34 | 4.8.1 Upper Etna Mt. | 18 | ||
4.8.2 Lower Etna Mt. | 16 | ||||
4.9 Iblei and Siracusa Mts | 18 | 4.9.1 Iblei Mts | 14 | ||
4.9.2 Lower Iblei and Siracusa Mts | 4 |
Practical methods for tracing homogeneous areas are required in all types of studies at various scales. The most topical issue facing regional landscape planning is the identification of homogeneous areas to which individualised management should be applied (
The land classification, here proposed, integrates biotic and abiotic parameters at different scales. Its units and subunits are easily recognisable and comprehensible and can be used effectively at supra-national and regional scales for biodiversity, historical and ecological analysis. This approach also enables easy data presentation and allows the comparison of time series of historical and modern data. In addition, it is a method that facilitates rapid analysis on a regional scale in areas for which no detailed data are available, as is still the case for large portions of North Africa.
Our suggestion is to project all the available data in the GIS system, indicating their accuracy, date and reliability, using the geographical coordinates of the selected points or the toponyms to which they refer. More detailed data can be easily lowered to the accuracy level proposed here. Subsequent extrapolation for spatial or statistical analyses can then be performed on different sub-sets of data or in different layers depending on the required output. Point data collection and analysis in terms of administrative areas are used in the Wikiplantbase project for the mapping of plant species in some regions of Italy (
Research performed thanks to the MIUR FFABR funding 2017 awarded to Prof. G. Domina.