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The concept of “cultural keystone species” (CKS) combines ecological and socioeconomic aspects and has a great potential for improving the overall success of conservation and restoration of ecosystems. In our study, we combined an ecological analysis of traditional medicinal plant species with an explorative analysis of the stakeholder landscape to understand the importance of plants for local communities. We investigate the feasibility of the CKS concept for traditional medicinal plants using the Southern Alps (Northern Italy) as a case study. Based on a comprehensive survey of traditional medicinal plants, we analyzed the habitats where they occur and their significance as CKS candidates. We applied the index of identified cultural influence (ICI). We identified some of the relevant stakeholders and their potential interest in traditional medicinal plants. From a total of 273 native medicinal species, we ranked the 10 most important CKS candidates. These comprised species with different ecology such as the herbs Achillea millefolium agg., Alchemilla xanthochlora, Arnica montana, Hypericum perforatum, Matricaria chamomilla, Peucedanum ostruthium, Urtica dioica, the shrub Juniperus communis, and the tree species Betula pendula. By merging their importance for the local communities with their occurrences in the habitats of South Tyrol, the concept of CKS can stimulate species and habitat conservation, and ecosystem restoration.

Forest understories play a vital role in ecosystem functioning and the provision of ecosystem services. However, the extent to which environmental conditions drive dominant ecological strategies in forest understories at the continental scale remains understudied. Here, we used ~29 500 forest vegetation plots sampled across Europe and classified into 25 forest types to explore the relative role of macroclimate, soil pH and tree canopy cover in driving abundance-weighted patterns in the leaf economic spectrum (LES) and plant size spectrum (PSS) of forest understories (shrub and herb layers). We calculated LES using specific leaf area (SLA) and leaf dry matter content (LDMC) and PSS using plant height and seed mass of vascular plant species found in the understories. We found that forest understories had more conservative leaf economics in areas with more extreme mean annual temperatures (mainly Fennoscandia and the Mediterranean Basin), more extreme soil pH and under more open canopies. Warm and summer-dry regions around the Mediterranean Basin and areas of Atlantic Europe also had taller understories with heavier seeds than continental temperate or boreal areas. Understories of broadleaved deciduous forests, such as Fagus forests on non-acid soils, or ravine forests, more commonly hosted species with acquisitive leaf economics. In contrast, some coniferous forests, such as Pinus, Larix and Picea mire forests, or Pinus sylvestris light taiga and sclerophyllous forests, more commonly hosted species with conservative leaf economics. Our findings highlight the importance of macroclimate and soil factors in driving trait variation of understory communities at the continental scale and the mediator effect of canopy cover on these relationships. We also provide the first maps and analyses of LES and PSS of forest understories across Europe and give evidence that the understories of European forest types are differently positioned along major axes of trait variation.

Identifying, surveying, monitoring and protecting natural forests is a major task in conservation biology. However, it is often challenging to identify which forest is natural, especially in human-altered regions such as the Mediterranean. Consequently, the distributions of natural Mediterranean forest types and their underlying factors are often unclear. Here, we attempt to explain the restricted and scattered distribution of natural Pinus pinea (Stone pine) forests in western Anatolia (Turkey) by comparing it with the distribution and ecology of the widespread Pinus brutia (Turkish pine) forests in this area. We used climatic and topographic predictors to test for differences between forests dominated by these two pine species. We modelled the realized niches of both pine species using the most relevant climatic predictors. Then, we compared soil data collected in the field, partly complemented with those published in the literature. We found small differences in climatic (precipitation and temperature) and topographic characteristics between the two forest types, which did not adequately explain the differences in the distribution range of P. brutia and P. pinea dominated forests. Our data suggest that these two forest types mainly differ in soil characteristics. The primary habitat of natural P. pinea forests is characterized by a low soil pH and calcium content. The rare occurrence of such soil conditions in western Anatolia likely shapes the scattered distribution of P. pinea forests. Our study suggests that natural P. pinea forests are rare habitats that should be in the focus of nature conservation.

Kambach S., Sabatini F.M., Attorre F., Biurrun I., Boenisch G., Bonari G., Čarni A., Carranza M.L., Chiarucci A., Chytrý M., Dengler J., Garbolino E., Golub V., Güler B., Jandt U., Jansen J., Jašková A., Jiménez-Alfaro B., Karger D.N., Kattge J., Knollová I., Midolo G., Moeslund J.E., Pielech R., Rašomavičius V., Rūsiņa S., Šibík J., Stančić Z., Stanisci A., Svenning J.-C., Yamalov S., Zimmermann N.E., Bruelheide H.

We present the dataset “SArdinian GRAsslands” (SAGRA), a collection of georeferenced vegetation surveys sourced from different areas of Sardinia (Italy). SAGRA addresses a geographic gap in current databases, as plots from Sardinian grasslands are underrepresented. We collected vegetation data from different projects and organized it within a framework that allows for scalability to larger scales or integration into existing databases. The surveys include three categories of information: general, vegetation and management, and environmental. Overall, SAGRA comprises 1277 vegetation surveys, some of which were performed in different years in the same plots. This dataset encompasses 685 plots and 434 species, primarily therophytes.

Aim : To revise Pinus pinaster -dominated communities of the Italian peninsula with special regard to central-southern Tuscany, and assess their floristic and ecological differences. Study area : Tuscany and Liguria regions, Italy. Methods : We classified 251 vegetation plots using the Two-way indicator species analysis method and we explored vegetation patterns through Principal Coordinate Analysis. We then investigated the ecology using Ecological Indicator Values. Results : We identified four major groups, primarily distinguished by the substrate of their stands and along a latitudinal gradient. We classified the forests in central-southern Tuscany in the association Erico scopariae-Pinetum pinastri . This community includes thermophilous and mesophilous species primarily distributed in the Atlantic and Western Mediterranean regions. Comparison of community means of Ecological Indicator Values revealed significant differences in soil reaction, nitrogen, moisture, and light conditions, but not in temperature, between the central-southern Tuscany forests and the other clusters. We classified the other studied forest communities on acidic substrates within the association Erico arboreae-Pinetum pinastri , whereas those found on ultramafic substrates were placed in the Euphorbio ligusticae-Pinetum pinastri typus cons. propos. , and in an informal group of secondary vegetation stands. Conclusions : Our analyses showed that the Pinus pinaster -dominated forests of central-southern Tuscany belong to the association Erico scopariae-Pinetum pinastri of the alliance Genisto pilosae-Pinion pinastri (class Pinetea halepensis ). The presence of species of phytogeographical importance in the forest understory, underscores the high biogeographic and conservation value of these pine forests. Taxonomic reference : Euro+Med (2024-). Syntaxonomic reference : Mucina et al. (2016), except for the changes proposed by Bonari et al. (2021). Abbreviations : EVC = EuroVegChecklist; ICPN = International Code of Phytosociological Nomenclature; PCoA = Principal Coordinate Analysis; TWINSPAN = Two-way indicator species analysis.

We studied the vascular flora of the isthmus of Feniglia, a Nature Reserve in southern Tuscany stretching between the Italian Peninsula and Mt. Argentario. Since the nineteenth century, the area has undergone significant environmental modifications due to intensive grazing and deforestation. Later, rehabilitation interventions were carried out, including reforestation and planting of dune species, making it an interesting protected area to study for its botanical aspects. Therefore, we aim to compile the floristic inventory of this distinctive Mediterranean area by integrating old and new data. The checklist comprises 502 specific and subspecific taxa of vascular plants. The life-form spectrum shows a predominance of therophytes, followed by hemicryptophytes. The chorological spectrum highlights the dominance of Mediterranean species, followed by Euromediterranean and Eurasian species. The presence of 15 species of regional importance, 3 species of the Italian red list and 3 Italian endemics ( Ornithogalum exscapum Ten., Limonium multiforme Pignatti, Linaria purpurea (L.) Mill.) is noteworthy. Despite the environmental changes undergone in this area, our study reports the presence of remarkable species, including rare ones such as Atriplex littoralis L., Ruppia spiralis L. ex Dumort., and species at their distribution margin in the Italian Peninsula, such as Staphisagria macrosperma Spach, Juncus sorrentinoi Parl. and Maresia nana (DC.) Batt. Additionally the presence of 26 alien species, of which 15 are invasive, 9 naturalized and 2 casual, indicates a relatively low presence of alien species. Notwithstanding the significant environmental changes that the Feniglia isthmus has experienced in the last century and the high tourist pressure during the summer, the presence of the protected area suggested the effectiveness and benefits of such a form of protection for plant diversity.

The importance of wetlands for biodiversity conservation is widely recognized. Their relevance is crucial in the identification of habitat types included in the Habitats Directive 92/43/EEC and in the application of the following conservation measures. Yet, several montane and submontane areas are poorly investigated from the phytosociological point of view. Here we studied aquatic communities of the Tuscan-Romagna Apennines in Italy using 52 vegetation plots dominated by hydrophytes collected in wetlands of natural and artificial origin. We analysed our data using a cluster analysis and identified 12 vegetation types that we classified as three vegetation classes Charetea intermediae , Lemnetea and Potamogetonetea , and two habitat types of conservation importance, as the hard oligo-mesotrophic waters with benthic vegetation of Chara spp. (Natura 2000 code 3140) and the natural eutrophic lakes with Magnopotamion or Hydrocharition (Natura 2000 code 3150). Our study highlights the diversity of aquatic habitats in montane and submontane areas of the Northern Apennines where water bodies are generally small and scattered. This study further highlights the important role of natural freshwater ecosystems for vegetation, but also the notable role of partly or entirely artificial water bodies in maintaining aquatic communities.

Freshwater ecosystems are crucial for biodiversity conservation. They are among the most threatened habitats in the world. However, the wetlands of southern European mountains still lack fine-scale plant community studies. Here we studied submontane and montane palustrine communities of the Tuscan-Romagna Apennines. Data from 123 vegetation plots dominated by palustrine species were analysed by means of cluster analysis. We identified 18 vegetation types that we attributed to five classes ( Phragmito-Magnocaricetea, Montio-Cardaminetea, Isoëto-Nanojuncetea, Molinio-Arrhenatheretea , and Epilobietea angustifolii ), and to two Natura 2000 habitats (3130 - Oligotrophic to mesotrophic standing waters with vegetation of the Littorelletea uniflorae and/or of the Isoëto-Nanojuncetea , and 6430 - Hydrophilous tall herb fringe communities of plains and of the montane to alpine levels). According the 4 th edition of the International Code of Phytosociological Nomenclature we corrected the names Phragmition communis Koch 1926 nom. inept. in P. australis Koch 1926 nom. corr. , Phragmitetum communis Savič 1926 nom. inept. in P. australis Savič 1926 nom. corr. , Glycerietum plicatae Kulczyński 1928 nom. inept. in G. notatae Kulczyński 1928 nom. corr. , Beruletum angustifoliae Roll 1938 nom. inept. in Beruletum erectae Roll 1938 nom. corr. , and we mutated the name Scirpetum lacustris Chouard 1924 nom. inept. in Schoenoplectetum lacustris Chouard 1924 nom. mut. nov . Our study highlights the diversity of marsh vegetation of montane and submontane areas of Northern Apennines. Most of the palustrine communities, though important from the point of view of conservation, cannot be attributed at present to any habitat type legally protected at the European level.

The EUNIS habitat classification is crucial for categorising European habitats, supporting European policy on nature conservation and implementing the Nature Restoration Law. To meet the growing demand for detailed and accurate habitat information, we provide spatial predictions across Europe (EEA39 territory) for 260 EUNIS habitat types at hierarchical level 3, together with independent validation and uncertainty analyses. Using ensemble machine learning models, together with high-resolution satellite imagery and ecologically meaningful climatic, topographic and edaphic variables, we produced a European habitat map indicating the most probable habitat overall at 100-m resolution across Europe. Additionally, we provide information on prediction uncertainty and the most probable habitats at level 3 within each EUNIS level 1 formation. This product is particularly useful for both conservation and restoration purposes. Predictions were cross-validated at European scale using a spatial block cross-validation and evaluated against independent data from France (forests only), the Netherlands and Austria. The maps achieved strong predictive performance, with F1-scores ranging from 0.61 to 0.94 in spatial cross-validation and from 0.33 to 0.95 in external validation datasets with distinct trade-offs in terms of recall and precision across habitat formations. Accuracy improved for rare or localized habitats when considering the top 3 predicted classes.