Data Paper |
Corresponding author: Marco Varricchione ( marco.varricchione@unimol.it ) Academic editor: Irena Axmanová
© 2025 Lucia Antonietta Santoianni, Fabrizio Bartolucci, Marta Carboni, Fabio Conti, Greta La Bella, Marco Varricchione, Angela Stanisci.
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:
Santoianni LA, Bartolucci F, Carboni M, Conti F, La Bella G, Varricchione M, Stanisci A (2025) MARA Vegetation Database: Monitoring Alien species along mountain Roads in the central Apennines. Vegetation Ecology and Diversity 62: 1-9. https://doi.org/10.3897/ved.139363
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The MARA (Monitoring Alien species along mountain Roads in the central Apennines) database was developed to monitor the distribution of vascular plant species along mountain roads in the Central Apennines, Italy, focusing on alien (i.e. neophytes) and thermophilous plant species. Data were gathered in 2022 from 118 plots spanning an elevation range from 420 to 2125 meters a.s.l. along 3 main road corridors on three massifs (Gran Sasso, Maiella and Terminillo), following the MIREN road survey protocol. The database comprises 810 taxa (species and subspecies), of which 16 are identified as alien taxa. Major plant families in frequency are Asteraceae, Poaceae, and Fabaceae. MARA captures detailed information on species cover, taxonomy, and ecological traits, such as life forms and Ecological Indicator Values for Europe (EIVE) related to temperature. Notably, 53% of the alien species recorded were thermophilous, thriving in warmer environments, and predominantly concentrated below 1200 meters, though a few species extend to higher elevations. This suggests that rising temperatures due to climate change may facilitate the upward movement of these species, potentially disrupting native vegetation. For such reasons, the MARA database is a valuable resource for long-term ecological monitoring, providing valuable data for both national and international research networks.
Alien taxa, MIREN sampling method, thermophilous taxa, vegetation database
Mountain ecosystems are recognized for their ecological significance and biodiversity richness, characterized by steep environmental gradients that create distinct vegetation zones (
In the summer of 2022, the first Italian and Mediterranean site of the Mountain Invasion Research Network (MIREN) (
This study aims to establish a database for Monitoring Alien species along mountain Roads in the central Apennines (MARA) to address gaps in knowledge regarding the distribution of alien and thermophilous taxa in the Central Apennines and examines the plant taxa composition, distribution and ecology along mountain roads across an elevation gradient in three mountain sites in Central Italy. The findings may contribute to establishing long-term ecological monitoring of the native and alien plant taxa upshifting and inform conservation strategies for maintaining the integrity of these ecosystems.
The vegetation sampling was conducted along three mountain roads in the Central Apennines (Italy), within two protected areas, Gran Sasso and Monti della Laga National Park and the Maiella National Park, and Mount Terminillo. The sampling covered an elevation gradient range from 420 m to 2125 m above sea level (a.s.l.) (Fig.
The table lists EUNIS habitat codes, their full names, diagnostic, dominant, and constant species (
EUNIS habitat code | EUNIS habitat name | Diagnostic, dominant and constant taxa | Elevation range (m a.s.l.) |
---|---|---|---|
R1A/R51/V34 | Semi-dry perennial calcareous grassland (meadow steppe) / Thermophilous forest fringe of base-rich soils / Trampled xeric grassland with annuals | Anthoxanthum odoratum, Anthyllis vulneraria, Acer campestre, Rubus ulmifolius, Lolium perenne, Plantago lanceolata, Convolvulus arvensis | 419–1429 |
T1A/T19/T17 | Mediterranean thermophilous deciduous forest / Temperate and submediterranean thermophilous deciduous forest / Fagus Forest on non-acid soils | Quercus pubescens, Emerus major, Quercus cerris, Acer opalus. subsp. obtusatum, Fagus sylvatica, Cardamine bulbifera | 533–1386 |
R14/R18 | Perennial rocky grassland of the Italian Peninsula / Perennial rocky calcareous grassland of subatlantic-submediterranean Europe | Bromopsis erecta, Festuca inops, Globularia bisnagarica, Helianthemum oelandicum subsp. incanum, Teucrium chamaedrys | 906–2125 |
Location of the three study areas in the Central Apennines (Italy). The detailed map shows the location of the plots along the elevation gradient (scale 1:150000) within the Gran Sasso and Monti della Laga National Park (orange), the Maiella National Park (blue), and along Mount Terminillo (yellow). For each study area, the initial and final elevations of the investigated road are indicated. Google Earth. Retrieved November 29, 2024, from https://www.google.com/earth.
Vegetation sampling took place during the summer of 2022, following the MIREN road survey protocol (
The cover of all vascular plant taxa was visually estimated and recorded using a metric of cover based on eight classes (1 = <0.1%, 2 = 0.1–1%, 3 = 2–5%, 4 = 6–10%, 5 = 11–25%, 6 = 26–50%, 7 = 51–75%, 8 = 76–100%) (
We compiled a comprehensive floristic database encompassing general and road/environmental information about plots and all taxa recorded across the mountain sites within the study area. The database was created using the data management system PostgreSQL (
The dataset contains all taxa, including information on family, genus, species, subspecies, and authority, all arranged alphabetically (
To describe the dataset in terms of taxa composition, we calculated the total cover of each taxonomic family by summing taxa cover values across all plots and we used their percentage on total coverage, grouping families with less than 4% cover as “Others.” This approach was also applied to alien taxa. We also assessed the cover of different life forms and their distribution among alien species. Next, plant taxa were categorized based on their occurrence across the three mountain sites and expressed as percentages, classifying them into: (i) common to all three sites, (ii) common to two sites, and (iii) present in only one site (Suppl. material
The MARA database encompasses a total of 810 plant taxa from 118 plots (60 roadside and 58 inland), comprising 646 species and 164 subspecies, including both native and alien plants. Among these, 16 taxa are classified as alien plant taxa (APT), including 12 species and 4 subspecies. The recorded taxa are distributed across 75 distinct taxonomic families. The most frequent families are Asteraceae (15%), Poaceae (10%), and Fabaceae (10%). Conversely, the families with the highest coverage in the study area are Poaceae (22%), Fagaceae (16%), and Fabaceae (8%) (Fig.
Considering the taxa’s occurrence across the three mountain sites of the study area (Gran Sasso Massif, Maiella Massif, and Mt. Terminillo) we observed that 23% of taxa are common to all three sites (Suppl. material
The boxplot analysis of taxa richness reveals differences between roadside and inland plots, both below and above 1200 m a.s.l.. Below 1200 m a.s.l. the taxa richness is significantly higher in roadside plots compared to inland plots (p-value < 0.001) (Fig.
The analysis of the EIVE Temperature data, associated with each species in the MARA database, reveals that the taxa with EIVE T between EIVE T = 4 and EIVE T = 5.55 are the most common in our dataset (Fig.
Regarding the distribution of alien plant taxa along the elevation gradient (Fig.
The first bar plot shows the percentage of total cover for each taxonomic family in the MARA database. Families contributing less than 4% cover are grouped under ‘Others’ (68 families) (A). The pie chart illustrates the percentage of total cover for each life form according to the Raunkiær classification in the MARA database (P = Phanerophyte, NP = Nanophanerophytes, Ch = Chamaephyte, H = Hemicryptophyte, G = Geophyte, T = Therophyte) (B). The latter bar plot shows the cover percentage of alien plant taxa (APT) for each taxonomic family in the MARA database. Families contributing less than 4% of cover are grouped under ‘Others’ (9 families) (C). The pie chart illustrates the percentage cover of alien plant taxa (APT) for each life form according to the Raunkiær classification in the MARA database (P = Phanerophyte, H = Hemicryptophyte, T = Therophyte) (D).
The boxplots show the taxa richness across the two plot types (roadside and inland plots) and elevation ranges (below 1200 m and above 1200 m a.s.l.) Significant differences between box-plots are highlighted using statistical significance markers (*) according to the Student’s t-test (* p < 0.05, ** p < 0.01).
Density plot of the EIVE Temperature distribution with highlighted sectors based on percentile thresholds. The graph illustrates temperature density as a percentage, with the 25th percentile (blue dashed line) and 75th percentile (red dashed line) demarcating the lower, middle, and upper temperature ranges. The shaded areas represent the proportion of EIVE T falling within these ranges, with colors indicating different density levels: light yellow for EIVE T below the 25th percentile, orange for EIVE T between the 25th and 75th percentiles, and dark orange for EIVE T above the 75th percentile (A). The point chart shows the distribution of alien plant taxa along the elevation gradient, using EIVE T data for ecological classification. Each colored dot represents the elevation at which the alien plant taxon was recorded, with each color corresponding to a specific EIVE T class (B).
The MARA database was developed through extensive data collection, careful identification of plant specimens, taxonomic revision, and organized digitization and structuring of the data. Its organizational framework allows for scalability and integration into existing vegetation databases. Specifically, MARA represents a national and regional adaptation of data shared within the international MIREN framework (
Additionally, due to the layout (arranged along the elevation gradient) and the standard size of the monitoring plots, they could potentially be integrated into the Italian Long-term Ecosystem Research Network (LTER-IT), as some of the vegetation plots are already located within two LTER Sites: IT01-001-T Central-southern Apennine Majella-Matese, and IT01-003-T central Apennine: Gran Sasso d’Italia (
A particularly striking finding is that 53% of alien plant taxa are classified as thermophilous species, meaning they thrive in warmer environments and could potentially disrupt native ecosystems (
In conclusion, our study and the MARA database highlight the importance of monitoring alien taxa in mountain environments and protected areas, especially in the current context of global warming. Understanding these dynamics will help guide future conservation strategies aimed at preserving Mediterranean native biodiversity and mitigating the impact of biological invasions.
MARA database can be obtained by contacting the dataset custodians directly (Angela Stanisci stanisci@unimol.it; Lucia Antonietta Santoianni luciasantoianni@gmail.com).
We acknowledge the Maiella National Park staff and Gran Sasso and Monti della Laga National Park staff for their essential logistic and technical support during the field campaigns. We wish to thank Valter Di Cecco and Francesca Tantalo for their valuable help in fieldwork. We are grateful to the coordinators and members of MIREN Project, especially Sylvia Haider and Meyke Buhaly for their valuable advice.
L. A. Santoianni was funded by PRIN 2022JBP5F8- PREVALIEN. Enhancing Knowledge on Prevention and Early Detection of the Invasive Alien Plants of (European) Union concern in the Italian Protected Areas. CUP Master: J53D2300657-0006.
This work was supported by the Grant of Excellence Departments 2018–2022 and the Grant of Excellence Departments 2023–2026, MIUR Italy. G. La Bella and M. Carboni acknowledge the support of NBFC to the University of Roma Tre, Department of Sciences.
M. Varricchione and A. Stanisci were funded under the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.4 - Call for tender No. 3138 of 16 December 2021, rectified by Decree n.3175 of 18 December 2021 of Italian Ministry of University and Research funded by the European Union – NextGenerationEU; Project code CN_00000033, Concession Decree No. 1034 of 17 June 2022 adopted by the Italian Ministry of University and Research, CUP H73C22000300001, Project title “National Biodiversity Future Center - NBFC”.
Bar chart illustrating the percentage of taxa classified by their occurrence across the three sites
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Explanation note: The categories include species occurring in the plots of all three sites, in the plots of two sites, and those occurring only in the plots of one single site.