Dose-Dependent and Species-Specific Effects of Wood Distillate Addition on the Germination Performance of Threatened Arable Plants

Wood distillate (WD) is a bio-based product applied to crop plants for its known action in terms of growth promotion and yield enhancement, but studies are lacking on its effects on the germination of arable plants. To test such effects, we applied WD at six different concentrations on the diaspores of three threatened arable plants: Bromus secalinus, Centaurea cyanus, and Legousia speculum-veneris. For all the studied species, the effect of WD was dose-dependent and species-specific. In B. secalinus, the germination percentage (GP) decreased at 0.125% WD but then remained stable at higher concentrations up to 1%. At 2% WD, almost no germination was observed. Mean germination time (MGT) was not influenced up to 1% WD but significantly increased at 2% WD. The germination rate index (GRI) and germination energy (GE) remained unaffected up to 1% WD but decreased at 2% WD. In C. cyanus, WD had no effects on GP and GE at any concentration. MGT showed no difference with the control up to 1% WD, but significantly increased at 2% WD. GRI increased only at low concentrations (0.125% and 0.25%). The germination performance of L. speculum-veneris was unaffected up to 0.25% WD for all the tested parameters. From 0.5% WD, a reduction in GP, GRI, and GE and an increase in MGT were observed. At 2% WD, germination was totally blocked. Our results suggest that using WD at low concentrations (<0.5%), those commonly used in arable crops, does not affect the germination of the three investigated plant species

Monitoring of coastal dunes habitats in Tuscany through the “MONITO-RARE” project

“MONITO-RARE” is a project involving Tuscany Region and Universities of Firenze, Siena and Pisa, aimed to improve the knowledge and develop monitoring methodologies for species and habitats included in Natura 2000 Network and considered of community interest, according to Art. 11 and Art. 17 of the Directive 92/43/EEC. Among the habitat of interest (Annex I), coastal sand dune is one of the most threatened by multiple human pressures (1, 2), such as pollution, coastal erosion, effects of global warming, farming practices, urban development, and pressure from tourism (3). As part of this project, was carried out a first year of monitoring of dunal habitats (Natura 200 code 2110, 2120, 2210, 2230, 2240, 2250* and 2260) in five SACs (Special Areas of Conservation) in order to cover different latitudes of Tuscany coast (“Dune litoranee di Torre del Lago/Selva Pisana”, “Tombolo da Castiglion della Pescaia a Marina di Grosseto”, “Dune costiere del Parco dell’Uccellina” and “Duna del Lago di Burano”). The coastal areas to the north and south of Arno basin are very different by climatic, geomorphologic (erosion) and anthropic factors. The northern coast is twice rainy as the southern one. Nevertheless, sand dune habitats are distributed in a fine scale mosaic, not distinguishable through aerial photos and maps. For this reason, we opted for a stratified sampling in three EUNIS habitat types (B1.3, shifting coastal dunes; B1.4, coastal stable dune grassland; B1.6, coastal dune scrub) for psammophilous vegetation. According to Sperandii et al. (4), we recorded these communities by 262 random plots of 2 x 2 m surface in which were surveyed pressures and threats, floristic composition and an estimate of abundance using a percentage cover scale ranging from 1 to 10. Our sampling is congruent with RanVegDunes (GIVD ID EU-IT-020), the first Italian database gathering standardized, randomly-sampled vegetation data in coastal dune environments. We detected significative differences in abundance and species composition between EUNIS habitat types, between SACs, and between habitat types within SACs. In particular, our data shows particular differences between communities of north and south of Tuscany: the northern SACs to Serchio river are heavily impacted by the presence of mass tourism, with bathing establishments, roads and human trampling. From these evidences can be deduced that trails installed within the DUNETOSCA Life Projects and aimed to reduction of tourism impact may be insufficient to reduce anthropic pressures in those contexts and adequate conservation strategies are required. 1) EEA (1999) State and pressures of the marine and coastal Mediterranean Environment. Environmental Issues Series, No. 5, European Environment Agency, Copenhagen 2) Barcelona Convention, Athens (2012) UNEP/MAP 2012. State of the Mediterranean Marine and Coastal Environment https://wedocs.unep.org/bitstream/handle/20.500.11822/364/sommcer_eng.pdf?sequence=4&isAllowed=y 3) Ciccarelli D. (2014) Environmental Management 54, 194–204 4) Sperandii M.G., Prisco I., Stanisci A., Acosta A.T.R. (2017) Phytocoenologia 47, 231–23

Spatial patterns of coastal dune plant diversity reveal conservation priority hotspots in and out a network of protected areas

Effective conservation planning requires identifying priority hotspots to allocate resources. To preserve biodiversity, it is crucial to consider α, β and γ-diversity and protect the irreplaceable sites with high ecological uniqueness, which can host uncommon species assemblages that would be lost if only species-rich sites were protected. Coastal dunes, hosting highly specialized plant communities, are among the most threatened ecosystems worldwide. In this study, we identified conservation priority hotspots to assess the effectiveness of the network of protected areas in coastal dunes of Tuscany (central Italy), using data on plant communities collected in 506 plots. We additively partitioned γ-diversity in its α and β components, observing a significant variation at all spatial levels only for dune species. In terms of α-diversity, we found that Northern protected sites were richer in dune species, while synanthropic and alien species were equally present inside and outside protected areas of the region. By partitioning the total β-diversity into its components (replacement and richness difference), we found a prevalence of replacement for dune species, indicating the most unique sites as the ones to favor for conservation. Unique sites were identified through Local Contributions to Beta Diversity and their conservation value was determined by their species composition and the relationship with landscape variables. Unique sites with high conservation value were only partly protected, while some protected sites were altered and required restoration. Our approach proved effective for identifying the most unique sites, indicating some issues in the existing protected network, while providing valuable information on sites to prioritize for future conservation actions

Enough Is Enough? Searching for the Optimal Sample Size to Monitor European Habitats: A Case Study from Coastal Sand Dunes

A robust survey method that samples the main characteristics of plant assemblages is needed to assess the conservation status of European habitat in the Natura 2000 network. A measure of variability, called pseudo-multivariate dissimilarity-based standard error (MultSE), was recently proposed for assessing sample-size adequacy in ecological communities. Here, we used it on coastal sand dune systems in three Special Areas of Conservation (SACs) in Tuscany. Our aim was to assess the minimum number of replicates necessary to adequately characterize sand dune environments in terms of differences between habitats and SACs, after a preliminary baseline assessment of plant diversity. Analysis of \u3b1 and \u3b2 diversity indicated that especially between habitats the three SACs protect different plant communities. The study of the MultSE profiles showed that the minimum number of replicates was related to habitat features and varied between 10 and 25 plots. Two-way PERMANOVA and SIMPER analysis on the full and reduced datasets confirmed that SACs and habitats host different plant communities, and that the contribution of the target species remained unchanged even with a reduced sample size. The proposed methodological approach can be used to develop cost-effective monitoring programs and it can be useful for plant ecologists and biodiversity managers for assessing ecosystem health and changes

Using spectral diversity and heterogeneity measures to map habitat mosaics: An example from the Classical Karst

Questions Can we map complex habitat mosaics from remote-sensing data? In doing this, are measures of spectral heterogeneity useful to improve image classification performance? Which measures are the most important? How can multitemporal data be integrated in a robust framework? Location Classical Karst (NE Italy). Methods First, a habitat map was produced from field surveys. Then, a collection of 12 monthly Sentinel-2 images was retrieved. Vegetation and spectral heterogeneity (SH) indices were computed and aggregated in four combinations: (1) monthly layers of vegetation and SH indices; (2) seasonal layers of vegetation and SH indices; (3) yearly layers of SH indices computed across the months; and (4) yearly layers of SH indices computed across the seasons. For each combination, a Random Forest classification was performed, first with the complete set of input layers and then with a subset obtained by recursive feature elimination. Training and validation points were independently extracted from field data. Results The maximum overall accuracy (0.72) was achieved by using seasonally aggregated vegetation and SH indices, after the number of vegetation types was reduced by aggregation from 26 to 11. The use of SH measures significantly increased the overall accuracy of the classification. The spectral β-diversity was the most important variable in most cases, while the spectral α-diversity and Rao's Q had a low relative importance, possibly because some habitat patches were small compared to the window used to compute the indices. Conclusions The results are promising and suggest that image classification frameworks could benefit from the inclusion of SH measures, rarely included before. Habitat mapping in complex landscapes can thus be improved in a cost- and time-effective way, suitable for monitoring applications

Low Concentrations of Biochar Improve Germination and Seedling Development in the Threatened Arable Weed Centaurea cyanus

In the context of sustainable agriculture, the search for soil improvers that boost crop growth without harming biodiversity is gaining much attention. Biochar, the solid residue resulting from the pyrolysis of organic material, has recently emerged as a promising bioproduct in enhancing crop yield, but there is a lack of information regarding its effects on arable biodiversity. Thus, in this study, we tested the effect of biochar application on the germination and seedling growth of cornflower (Centaurea cyanus L., Asteraceae), a threatened arable weed, under laboratory conditions. We investigated various parameters, including germination percentage (GP%), mean germination time (MGT), germination rate index (GRI), germination energy (GE%), fresh and dry weight (mg) of seedlings, and radicle length (mm) under biochar treatments at different concentrations: 0% (control), 0.1%, 0.2%, 0.5%, 1%, and 2%. Our findings revealed a significant increase in GP, GE, and GRI at biochar concentrations of 0.5% and 1%. MGT slightly increased at 0.1% biochar. Seedling fresh weight was unaffected by biochar application, whereas seedling dry weight exhibited a significant increase at 0.5% biochar. Radicle length showed a substantial increase under 0.1% biochar on day one and was significantly higher at 0.2% and 1% biochar on day two. However, by day three, no more statistically significant differences in radicle length were observed between biochar-treated diaspores and controls (i.e., biochar had positive effects only in the first stages). These results suggest that the application of biochar at intermediate concentrations (0.5% and 1%) overall provide the most benefit to germination and seedling growth of C. cyanus

Differential effects of increasing temperature on the germination of five wild species with varying range sizes in a Carrara marble quarry

Assessing the performance of spontaneous plants in abandoned quarries under future environmental scenarios is important for successful restoration practices. Air warming is one of the most relevant ongoing climatic changes in the Mediterranean. We tested the effects of increasing temperature on the germination of five species spontaneously colonising the abandoned sectors of a Carrara marble quarry (Tuscany, central Italy). We selected five plant species with different widths of their distribution range, from local endemic to invasive alien: Santolina pinnata, Globularia incanescens, Hypericum coris, Helichrysum italicum, and Buddleja davidii. Seeds were collected in situ and their germination was tested in laboratory conditions at 10, 15, 20, 25, and 30°C. The effects of temperature and species on germination percentage (GP) and mean germination time (MGT) were tested through two-way ANOVA. Increasing temperatures negatively affected the GP of S. pinnata and H. coris. G. incanescens performed better at intermediate temperatures, while H. italicum benefited from increasing temperatures. B. davidii showed a similar high GP under all the treatments. MGT decreased with increasing temperature for all the species, except for S. pinnata, which showed an increase of MGT with increasing temperature. We highlighted that, under future warmer climatic conditions, the two endemic species will be disadvantaged with respect to the species with a wider distribution range and the non-native species in the studied quarry. This evidence is relevant for restoration planning since seeding the two endemic species could be unsuccessful under future environmental scenarios, when H. italicum and B. davidii will be more competitive in the colonisation of the quarry

Effects of Wood Distillate on Seedling Emergence and First-Stage Growth in Five Threatened Arable Plants

Wood distillate (WD) is an environmentally safe bio-based product stimulating plant growth and yield and allowed in Italy in organic farming. To the best of our knowledge, there are no studies on the effects of WD on spontaneous plants growing among crops, including their functional traits such as biomass. To test such effects, we carried out a lab experiment on artificially reconstructed arable plant communities composed of five species of conservation interest, which are specialist winter cereal crops: Bromus secalinus L., Centaurea cyanus L., Lathyrus aphaca L., Legousia speculum-veneris (L.) Chaix, and Scandix pecten-veneris L. After sowing 45 pots under controlled conditions, we applied WD at three concentrations (0%, 0.2%, and 0.5%) six times over 7 weeks. The number of emerged plants in each pot was counted every two weeks. Finally, we harvested all plants and measured the fresh and dry above-ground weight of each species in each pot. The resulting data were analyzed by Permutational Analysis of Variance. The application of 0.2% and 0.5% WD modified the community composition after two weeks, but such differences later disappeared. Both 0.2% and 0.5% WD had a positive effect on the dry weight of S. pecten-veneris and a negative effect on that of L. speculum-veneris. Moreover, 0.2% and 0.5% WD increased seedling emergence in L. aphaca, and 0.5% WD increased seedling emergence in S. pecten-veneris. Both 0.2% and 0.5% WD enhanced seedling emergence in the entire community. We suggest that the use of WD at low concentrations in winter cereals may be a sustainable agricultural practice that benefits crops without harming the associated plant diversity

Drivers of diversity of arable plant communities in one of their european conservation hotspots

The changes of agriculture led to deep transformations of arable plant diversity. The features of arable plant communities are determined by many anthropic, environmental, and geographic drivers. Understanding the relative importance of such drivers is essential for conservation and restoration purposes. In this work, we assessed the effects of agronomic, climatic, geographic, and landscape features on α-diversity, β-diversity, and composition of winter arable plant communities across continental Italy, a European hotspot of arable plant diversity. Using redundancy analysis and variation partitioning, we observe that the selected groups of variables explained a restrained to moderate proportion of the variation in diversity and composition, depending on the response (5.5–23.5%). We confirm previous evidence that climate and geographic location stand out in determining the features of arable plant communities in the country, followed by the type of rural area. The surrounding landscape has a subordinate influence but affects both α and β-diversity. The α-diversity is higher in traditional agricultural areas and in landscapes rich in woody vegetation, while it is lower in warmer areas. Species composition is determined by climate, latitude, and the type of rural area, but not by landscape. Total β-diversity is mainly explained by climate and latitude, and subordinately by the agricultural context and landscape. Its components are explained by latitude and climate (replacement) and agricultural context and climate (richness difference). The local contribution to β-diversity of single sites suggested a good conservation status of the studied communities. We discuss the implications of our findings in the light of conservation and restoration of vanishing arable plant communities

Robotic monitoring of forests: a dataset from the EU habitat 9210* in the Tuscan Apennines (central Italy)

Effective monitoring of habitats is crucial for their preservation. As the impact of anthropic activities on natural habitats increases, accurate and up-to-date information on the state of ecosystems has become imperative. This paper presents a new dataset collected from the forests located in the Tuscan Apennines (Italy) using the ANYmal robot. The dataset provides information regarding the structure and composition of the EU priority habitat 9210*. The dataset, which is publicly available through a Zenodo repository, includes photos, videos, and point clouds of the environment. This dataset is a valuable resource for the scientific community working in the field of forest ecology and conservation and has the potential to inform future research and conservation efforts on habitat 9210*. the collaboration between robotic engineers and plant scientists provides a unique perspective on the forest ecosystem and underscores the potential for interdisciplinary work in this field. This dataset constitutes an important contribution to the ongoing effort to monitor and conserve habitats globally, particularly in light of the challenges posed by global changes