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12 pages, 3961 KiB  
Article
Diachronic Analysis of the Floristic Diversity of the Special Area of Conservation (SAC) “Bosco di Santo Pietro” (South-Eastern Sicily): A Mediterranean Biodiversity Hotspot
by Dario Azzaro, Salvatore Cambria, Manuela Porrovecchio and Pietro Minissale
Plants 2025, 14(5), 788; https://doi.org/10.3390/plants14050788 - 4 Mar 2025
Viewed by 57
Abstract
This study presents a complete and updated checklist of the vascular flora of the SAC “Bosco di Santo Pietro”, an important natural area located in south-eastern Sicily. Through an integrated approach combining field research, analysis of historical herbariums and a literature review, 583 [...] Read more.
This study presents a complete and updated checklist of the vascular flora of the SAC “Bosco di Santo Pietro”, an important natural area located in south-eastern Sicily. Through an integrated approach combining field research, analysis of historical herbariums and a literature review, 583 taxa belonging to 78 families and 339 genera were identified. A comparison with an older floristic list of the Santo Pietro Forest dating back to 1889 highlights some significant changes, such as a decrease in several hygrophilous and nemoral species probably due to climate change and habitat degradation. In particular, our diachronic analysis reveals the disappearance of 178 taxa and the persistence of 199 taxa representing 47% and 53% of the 377 taxa listed in the first inventory, respectively. From the study of the Ellenberg indicator of the two lists, lower values of L and T and higher values of M and N emerge in the older flora, testifying to the significant environmental modifications for more than a century of this Sicilian and Mediterranean hotspot. Full article
(This article belongs to the Section Plant Systematics, Taxonomy, Nomenclature and Classification)
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<p>Old <span class="html-italic">Quercus suber</span> tree in the Santo Pietro woodland (<b>A</b>); <span class="html-italic">Myosotis congesta</span> (<b>B</b>); <span class="html-italic">Gagea trinervia</span> (<b>C</b>); <span class="html-italic">Helianthemum sanguineum</span> (<b>D</b>); <span class="html-italic">Stachys arenaria</span> (<b>E</b>); <span class="html-italic">Loeflingia hispanica</span> (<b>F</b>).</p>
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<p>Life form spectrum of the flora of the Santo Pietro woodland according to our results (internal circumference) and Zambrano’s [<a href="#B20-plants-14-00788" class="html-bibr">20</a>] (external circumference).</p>
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<p>Chorological spectrum of the flora of the Santo Pietro woodland according to our results (internal circumference) and Zambrano’s [<a href="#B20-plants-14-00788" class="html-bibr">20</a>] (external circumference).</p>
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<p>Medium Ellenberg values for the current checklist and the Zambrano list [<a href="#B20-plants-14-00788" class="html-bibr">20</a>]. L = light, T = temperature, M = moisture, N = nutrient.</p>
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<p>Map of surveyed area with the boundaries of the SAC “Bosco di Santo Pietro” (ITA070005).</p>
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17 pages, 2587 KiB  
Article
Silver Lime (Tilia tomentosa Moench) in Forest Vegetation at the Western Edge of the Natural Distribution
by Irena Šapić, Joso Vukelić, Antun Alegro, Stjepan Mikac, Damir Ugarković, Igor Poljak and Dario Baričević
Forests 2025, 16(3), 438; https://doi.org/10.3390/f16030438 - 28 Feb 2025
Viewed by 135
Abstract
Silver lime is a thermophilic, calciphile species that thrives in xero-mesophilic forest communities. The westernmost edge of its natural distribution is Zrinska Gora Mountain in central Croatia, where it is found in almost all types of forest vegetation, albeit with varying frequencies. Its [...] Read more.
Silver lime is a thermophilic, calciphile species that thrives in xero-mesophilic forest communities. The westernmost edge of its natural distribution is Zrinska Gora Mountain in central Croatia, where it is found in almost all types of forest vegetation, albeit with varying frequencies. Its ecological optimum is in specific ravines and grooves, where it forms the mesophilic, relict broad-leaved ravine forest community Polysticho setiferi-Tilietum tomentosae. This research was conducted on two levels. Firstly, the communities of Zrinska Gora were analyzed as the westernmost edge of the natural distribution. Secondly, the ecology of the Tilia tomentosa communities in the western part of its distribution (Croatia, Bosnia and Herzegovina, Hungary, and Serbia) was observed. Analysis of Ellenberg-type indicator values for 74 communities from the western Balkans revealed a slight trend of decreasing thermophilicity and increasing acidophilicity toward the western edge of the distribution area. Silver lime peripheral populations on Zrinska Gora develop under unique ecological conditions. The soil reaction of all communities falls below the lower limit of the optimal range for its development, and the relict association experiences lower temperature values compared to the other communities. All in all, the results of this study provide insights into the adaptability of silver lime to climate change. Full article
(This article belongs to the Special Issue Distribution of Tree Species in a Changing Environment)
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<p>Geographic distribution of <span class="html-italic">Tilia tomentosa</span> in Europe (adapted from Meusel et al. [<a href="#B6-forests-16-00438" class="html-bibr">6</a>]), highlighting Zrinska Gora Mt as the westernmost point of its natural distribution.</p>
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<p>Ellenberg-type indicator values Box and whisker for three groups of forest associations on Zrinska Gora Mt regarding presence of silver lime (I &gt; 50%, II &lt; 50%, III = 0).</p>
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<p>PCA analysis of <span class="html-italic">Tilia tomentosa</span> communities in the western Balkans with passively projected vectors representing Ellenberg-type ecological indicator values (L—light, T—temperature, M—moisture, pH—soil reaction, N—nutrients); Country codes: CRO—Croatia, HU—Hungary, B&amp;H—Bosnia and Hercegovina, SRB—Serbia; Symbols indicate silver lime presence in communities (▲ &gt; 50%, ∆ &lt; 50%, ⃝ &lt; 10%); Red represents Western Balkan communities, blue represents communities from Zrinska Gora Mt.</p>
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14 pages, 4601 KiB  
Article
Phytosociological and Abiotic Factors Influencing the Coverage and Morphological Traits of the Invasive Alien Potentilla indica (Rosaceae) in Riparian Forests and Other Urban Habitats: A Case Study from Kraków, Southern Poland
by Artur Pliszko, Tomasz Wójcik and Kinga Kostrakiewicz-Gierałt
Forests 2024, 15(12), 2229; https://doi.org/10.3390/f15122229 - 18 Dec 2024
Viewed by 565
Abstract
Biological invasions are considered one of the most important threats to biodiversity worldwide, and their intensity increases with urbanization. Potentilla indica, a perennial stoloniferous plant of Asian origin, is a newly emerging invasive alien species in European cities and other areas. Due [...] Read more.
Biological invasions are considered one of the most important threats to biodiversity worldwide, and their intensity increases with urbanization. Potentilla indica, a perennial stoloniferous plant of Asian origin, is a newly emerging invasive alien species in European cities and other areas. Due to its wide ecological range, it may threaten many native species, especially in urban riparian forests which are particularly susceptible to plant invasions. Although it shows high phenotypic plasticity, its coverage and morphological variability depending on the type of vegetation and abiotic factors in natural conditions have not been studied so far. Therefore, in this study, we aimed to explore this issue, using phytosociological relevés and measurements of selected environmental factors and morphological features of P. indica in Kraków, the second largest city in Poland, central Europe. We demonstrated that the coverage and morphological traits of P. indica can be significantly affected by the type of plant community, and the presence and abundance of the species in urban habitats are strongly related to soil moisture, electrical conductivity, and fertility. We also found that the coverage of P. indica is positively correlated with the Evenness index, height of herbaceous layer, soil electrical conductivity and moisture, and negatively with the number of species, soil compactness, and phosphorus content in the soil. We further revealed that the size of the leaves and the length of the pedicels and stolons in P. indica can be positively influenced by its coverage. To prevent the invasion of P. indica in riparian forests and other urban habitats, we suggest controlling its cultivation and disposal, removing new appearances, and maintaining high species diversity with a dominance of one or a few native species in plant communities. Full article
(This article belongs to the Section Urban Forestry)
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<p>Morphological details of <span class="html-italic">Potentilla indica</span> and vegetation of study sites in Kraków, southern Poland: (<b>A</b>)—flowering shoot, (<b>B</b>)—fruiting shoots, (<b>C</b>)—Polish Aviators’ Park at Aleja Pokoju Street, (<b>D</b>)—Dąbie Park, (<b>E</b>)—Melchiora Wańkowicza Street, near Dłubnia River, (<b>F</b>)—Aleja Waszyngtona Street, (<b>G</b>)—Biskupa Filipa Padniewskiego Street, (<b>H</b>)—Podrzecze Street, near Dłubnia River, (<b>I</b>)—Wilga River Park, (<b>J</b>)—Florian Nowacki Planty Park, (<b>K</b>)—Stanisław Skalski Park, and (<b>L</b>)—Decius Park (Photographed by A. Pliszko).</p>
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<p>Distribution of study sites (S1–S10) in Kraków, southern Poland (<b>A</b>), distribution of study plots (1–10) within transect (<b>B</b>), and sampling scheme within plots (<b>C</b>). I and II indicate sampling points of environmental parameters within 5 m-squares. Gray color indicates even-numbered plots in which soil samples were collected for chemical analyses.</p>
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<p>Differences in environmental parameters between the plots invaded (Inv, gray bars) and uninvaded (Uninv, white bars) by <span class="html-italic">Potentilla indica</span>. Mean (±SD) values are presented. Asterisks indicate the level of statistical significance: * <span class="html-italic">p</span> ≤ 0.05; ** <span class="html-italic">p</span> &lt; 0.01; <sup>ns</sup>—not significant.</p>
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24 pages, 4063 KiB  
Review
Vegetation Dynamics Studies Based on Ellenberg and Landolt Indicator Values: A Review
by Natalya Ivanova and Ekaterina Zolotova
Land 2024, 13(10), 1643; https://doi.org/10.3390/land13101643 - 9 Oct 2024
Cited by 1 | Viewed by 1540
Abstract
Understanding the dynamics and system of interrelationships between habitats and plant communities is key to making reliable predictions about sustainable land use, biodiversity conservation and the risks of environmental crises. At the same time, assessing the complex of environmental factors that determine the [...] Read more.
Understanding the dynamics and system of interrelationships between habitats and plant communities is key to making reliable predictions about sustainable land use, biodiversity conservation and the risks of environmental crises. At the same time, assessing the complex of environmental factors that determine the composition, structure and dynamics of plant communities is usually a long, time-consuming and expensive process. In this respect, the assessment of habitats on the basis of the indicator properties of the plants is of great interest. The aim of our study was to carry out a comprehensive review of vegetation dynamics studies based on the Ellenberg and Landolt indicator values in the last five years (2019–2023). We identified their strengths and priority areas for further research, which will contribute to improving the ecological indicator values for studying vegetation dynamics. The analysis of publications was carried out based on the recommendations of PRISMA 2020 and the VOSviewer software(version 1.6.18). The wide geographical range and high reliability of Landolt and Ellenberg indicator values for the study of different plant communities and variations in their dynamics are demonstrated. At the same time, the application of these environmental indicator values has its peculiarities. For example, the Ellenberg indicator values show a wider research geography and are more often used to study the dynamics of forest ecosystems than the Landolt indicator values, which are more often used to study disturbed landscapes and the dynamics of individual species. However, these methods have been used with almost the same frequency for grasslands, wetlands and coastal vegetation. The citation analysis confirmed the high interest in the environmental indicator values and their widespread use in research, but also revealed the weak development of a network of relationships. This suggests that modern researchers are not well aware of, and rarely use, the results of research carried out in recent years, especially if they are based on indicator values other than those used by them. At the same time, a number of unresolved issues are clearly identified, which require additional research and a consolidation of research teams if they are to be addressed more successfully. We hope that the results of this meta-analysis will provide the impetus for further development of the concept of environmental indicators and help researchers to overcome the current questions around applying indicator values in the study of vegetation dynamics, as well as help researchers to understand the strengths of this methodology. Full article
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<p>Schematic diagram of the research analysis.</p>
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<p>Distribution of the number of studies using Landolt indicator values by year. Distribution of the number of studies on vegetation dynamics that use Ellenberg (1) and Landolt (2) indicator values.</p>
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<p>Keyword relationship network analysis. Different clusters are highlighted in color.</p>
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<p>Distribution by citation of modern articles (2019–2023) devoted to vegetation dynamics and Ellenberg and Landolt indicator values.</p>
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<p>Citation-based analysis of the article interconnection network.</p>
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<p>Analysis of the journal interconnection network.</p>
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14 pages, 2005 KiB  
Article
Origin and Persistence of Lycopodium clavatum and Lycopodium annotinum (Lycopodiaceae) in Scots Pine Forests
by Radvilė Rimgailė-Voicik, Aleksandras Voicikas, Julija Fediajevaitė, Sigitas Juzėnas and Jolanta Patamsytė
Plants 2024, 13(15), 2120; https://doi.org/10.3390/plants13152120 - 31 Jul 2024
Viewed by 1076
Abstract
Understanding the growth dynamics of spore-bearing clonal plant sporophytes and the influence of abiotic and biotic factors is crucial for predicting the persistence of club moss populations and implementing effective habitat management techniques. Despite this, the longevity and development of club-moss populations are [...] Read more.
Understanding the growth dynamics of spore-bearing clonal plant sporophytes and the influence of abiotic and biotic factors is crucial for predicting the persistence of club moss populations and implementing effective habitat management techniques. Despite this, the longevity and development of club-moss populations are rarely studied. This study adopted an integrated approach to assess the probability of repetitive young sporophyte recruitment via sexual propagation in Lycopodium annotinum L. and Lycopodium clavatum L. The size–age problem of clonal spore-bearing forest plants and their niche segregation were addressed. The canopy characteristics, insolation, small-scale disturbance, and genetic polymorphism were studied in temperate semi-natural Scots pine forests in Lithuania. Based on the size of the clones discovered, we hypothesize that initial sporophyte emergence occurred in 20-year-old pine stands, with subsequent sporophyte emergence continuing over time. The emergence was related to small-scale disturbances. High genetic polymorphism indicates that all sporophyte stands studied likely emerged via sexual reproduction. According to Ellenberg values, L. annotinum is related to shady habitats, but our findings show both species coexisting abundantly in the more open habitat, supposedly more suitable for L. clavatum.No significant differences in vegetation relevés and light availability was detected using hemispheric images. Full article
(This article belongs to the Special Issue Diversity and Evolution in Lycophytes and Ferns)
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<p><span class="html-italic">Lycopodium annotinum</span> and <span class="html-italic">Lycopodium clavatum</span> forming an intermixed outgrowth in Verkiai Regional Park, Vilnius city, Lithuania. Photo by Greta Valvonytė.</p>
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<p>Scatter plot of forest age and club moss outgrowth diameter. <span class="html-italic">L. annotinum</span>—<span class="html-italic">Lycopodium annotinum</span>; <span class="html-italic">L. clavatum</span>—<span class="html-italic">Lycopodium clavatum</span>. Primary clones, marked with dots, are circular or partially circular and most likely originated from gametophytes. Secondary clones, marked with diamonds, are differently shaped, and their origin is unclear.</p>
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<p>Tree canopy shading in Nemenčinė and Veržuva sites for <span class="html-italic">L. annotinum</span> and <span class="html-italic">L. clavatum</span> sporophytes. Statistically significant <span class="html-italic">p</span>-values, indicated by asterisks (*), and non-significant <span class="html-italic">p</span>-values, indicated by ‘n.s.’ (not significant), were determined using a two-way ANOVA.</p>
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<p>Principal coordinates analysis (PCoA) reflecting differentiation among sporophytes of <span class="html-italic">Lycopodium annotinum</span> and <span class="html-italic">L. clavatum</span>, using ISSR method, in Veržuva and Nemenčinė. Results of PERMANOVA test using Nei genetic distances for each species provided. <span class="html-italic">L. annotinum</span> n = 14 in Veržuva and n = 15 in Nemenčinė. <span class="html-italic">L. clavatum</span> n = 13 in Veržuva and n = 10 in Nemenčinė.</p>
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<p>Distribution of club moss sporophyte sampling sites and Scots pine-dominated forest cover in Lithuania.</p>
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19 pages, 6849 KiB  
Article
The Diversity and Gradient of Sand-Dune Vegetation at Kasatura Bay: A Plant Biodiversity Hotspot in European Türkiye
by Dilek Oral, Ali Kavgacı and Asuman Efe
Diversity 2024, 16(6), 318; https://doi.org/10.3390/d16060318 - 27 May 2024
Viewed by 932
Abstract
The Kasatura Bay region is one of Türkiye’s Important Plant Areas and plant biodiversity hotspots. In this study, the diversity and gradient of the sand-dune vegetation in Kasatura Bay were studied. Vegetation sampling was carried out by using the Braun-Blanquet method. The vegetation [...] Read more.
The Kasatura Bay region is one of Türkiye’s Important Plant Areas and plant biodiversity hotspots. In this study, the diversity and gradient of the sand-dune vegetation in Kasatura Bay were studied. Vegetation sampling was carried out by using the Braun-Blanquet method. The vegetation dataset was recorded in the TURBOVEG database management program. For classification, Beta-Flexible clustering (β = −0.25) and the correlation similarity index were used in the PC-ORD program. Diagnostic species of the communities were determined in the JUICE program using the φ-coefficient (higher than 0.30). Detrended Canonical Correspondence analysis was applied to data in the CANOCO program to understand the effect of ecological factors on vegetation diversity. Ellenberg ecological indicator values were used as the ecological variables. As a result, seven different plant communities were identified at the Kasatura Bay sand dunes. A new association of Sileno thymifoliae–Cionuretum erectae ass. nova was identified under the alliance Sileno thymifoliae–Jurineion kilaeae. The sand-dune vegetation represents high diversity, also including endemic plants, some of which are globally threatened. Due to all this diversity, settled on sensitive conditions, conservation strategies need to be developed to protect and ensure the continuity of Kasatura Bay sand-dune vegetation in the face of intense human pressure. Full article
(This article belongs to the Section Plant Diversity)
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<p>The geographical location of Kasatura Bay. Arrows show the location of the study site.</p>
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<p>General view of the study site.</p>
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<p>Hierarchical dendrogram of the vegetation plots in the sand-dune vegetation of Kasatura Bay.</p>
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<p>Vegetation table of Kasatura Bay sand-dunes. Diagnostic species of each community are shown separately with gray shading. They are listed in decreasing order of fidelity. The threshold of φ-coefficient as a fidelity measure is 0.30. Other species are listed in decreasing order of presence in the total dataset. S and H represent shrub and herb layers, respectively. Cover-abundance values (r, +, 1, 2, 3, 4, 5) represent the Braun-Blanquet scales. Growth forms: Ph—Phanerophyte, Ch—Chamaephyte, Hc—Hemicryptophyte, Cr—Cryptophyte, Th—Therophyte. Phytogeographical regions: Med.—Mediterranean, Eur-Sib.—Euro-Siberian, Wd—wide distribution.</p>
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<p>Vegetation table of Kasatura Bay sand-dunes. Diagnostic species of each community are shown separately with gray shading. They are listed in decreasing order of fidelity. The threshold of φ-coefficient as a fidelity measure is 0.30. Other species are listed in decreasing order of presence in the total dataset. S and H represent shrub and herb layers, respectively. Cover-abundance values (r, +, 1, 2, 3, 4, 5) represent the Braun-Blanquet scales. Growth forms: Ph—Phanerophyte, Ch—Chamaephyte, Hc—Hemicryptophyte, Cr—Cryptophyte, Th—Therophyte. Phytogeographical regions: Med.—Mediterranean, Eur-Sib.—Euro-Siberian, Wd—wide distribution.</p>
Full article ">Figure 4 Cont.
<p>Vegetation table of Kasatura Bay sand-dunes. Diagnostic species of each community are shown separately with gray shading. They are listed in decreasing order of fidelity. The threshold of φ-coefficient as a fidelity measure is 0.30. Other species are listed in decreasing order of presence in the total dataset. S and H represent shrub and herb layers, respectively. Cover-abundance values (r, +, 1, 2, 3, 4, 5) represent the Braun-Blanquet scales. Growth forms: Ph—Phanerophyte, Ch—Chamaephyte, Hc—Hemicryptophyte, Cr—Cryptophyte, Th—Therophyte. Phytogeographical regions: Med.—Mediterranean, Eur-Sib.—Euro-Siberian, Wd—wide distribution.</p>
Full article ">Figure 4 Cont.
<p>Vegetation table of Kasatura Bay sand-dunes. Diagnostic species of each community are shown separately with gray shading. They are listed in decreasing order of fidelity. The threshold of φ-coefficient as a fidelity measure is 0.30. Other species are listed in decreasing order of presence in the total dataset. S and H represent shrub and herb layers, respectively. Cover-abundance values (r, +, 1, 2, 3, 4, 5) represent the Braun-Blanquet scales. Growth forms: Ph—Phanerophyte, Ch—Chamaephyte, Hc—Hemicryptophyte, Cr—Cryptophyte, Th—Therophyte. Phytogeographical regions: Med.—Mediterranean, Eur-Sib.—Euro-Siberian, Wd—wide distribution.</p>
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<p>DCA ordination of the plant groups in the sand-dune vegetation of Kasatura Bay: (<b>a</b>) Ellenberg ecological indicator values, (<b>b</b>) growth forms and phytogeographical regions are passively projected.</p>
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<p>Box–whisker diagrams of Ellenberg ecological indicator values. -: Median, ▯: 25–75%, I Non-outlier range, ◦: outliers.</p>
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<p>Box–whisker diagrams of growth forms. -: Median, ▯: 25–75%, I Non-outlier range, ◦: outliers.</p>
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<p>Box–whisker diagrams of phytogeographical regions. -: Median, ▯: 25–75%, I Non-outlier range, ◦: outliers.</p>
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<p>Box–whisker diagrams for species richness (number of species) and species diversity. - Median, ▯: 25–75%, I Non-outlier range, ◦: outliers.</p>
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19 pages, 1975 KiB  
Article
Silaum silaus (L.) Schinz and Thell.—Habitat Conditions and Variation in Selected Characteristics of Populations at Different Densities
by Agata Stadnicka-Futoma, Tomasz Wójcik and Małgorzata Jaźwa
Sustainability 2024, 16(5), 1844; https://doi.org/10.3390/su16051844 - 23 Feb 2024
Viewed by 929
Abstract
Grasslands are one of the most diverse and species-rich ecosystems in the agricultural landscape of Central Europe. However, they are gradually being overgrown or transformed into arable fields due to their abandonment and the intensification of economic activities. This leads to a drastic [...] Read more.
Grasslands are one of the most diverse and species-rich ecosystems in the agricultural landscape of Central Europe. However, they are gradually being overgrown or transformed into arable fields due to their abandonment and the intensification of economic activities. This leads to a drastic decline in biodiversity and the disappearance of many rare species, e.g., Silaum silaus. Research on Silaum silaus populations was conducted in the years 2020 and 2022. Data were obtained from two Natura 2000 sites. The Jaćmierz site is located in a dispersed range of Silaum silaus in south-eastern Poland. The site at Zagórzyce is located in a dense range of the species in the south-western part of the country. Research on the habitat conditions was conducted on two permanent study surfaces with the dimensions of 10 × 10 m. This research included a soil study and measurements of herbaceous vegetation. To determine the habitat conditions, use was also made of Ellenberg ecological indicator values. At each site, 10 phytosociological relevés were conducted with the Braun-Blanquet method. In each study year, the manner of land use was determined. For detailed population study, one permanent surface of the dimensions 10 × 10 m was marked out, on which each year the generative and vegetative specimens were counted and biometric studies were conducted on 30 randomly chosen generative specimens. The species occurred in two different meadow communities (Arrhenatheretum elatioris, Molinietum caeruleae), which were characterised by different habitat conditions, and the greatest differences were evident in the chemical properties of the soil and in the method of management. The meadows at Jaćmierz were mowed twice a year, while at Zagórzyce mowing was performed once every two years. The communities were also varied in terms of flora, characterised by a high species richness and a high Shannon–Wiener index. Silaum silaus had significantly greater numbers and an over four times higher cover coefficient at Jaćmierz. The largest differences in the analysed traits of the species occurred in the case of generative traits. It was observed that management practices at Jaćmierz had a strong influence on the condition of specimens and the population size of Silaum silaus, which was much better preserved at this site. Full article
(This article belongs to the Special Issue Biodiversity, Biologic Conservation and Ecological Sustainability)
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<p>Location of studied sites on the ATPOL grid squares presenting the distribution of <span class="html-italic">Silaum silaus</span> in Poland (own work based on ATPOL grid squares [<a href="#B50-sustainability-16-01844" class="html-bibr">50</a>] and the map from the website Geoportal 2).</p>
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<p>A view of plant communities with <span class="html-italic">Silaum silaus</span> individuals at study sites: (<b>A</b>) Site 1—Jaćmierz; (<b>B</b>) Site 2—Zagórzyce (photos: (<b>A</b>) T. Wójcik; (<b>B</b>) A. Stadnicka-Futoma).</p>
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<p>The median (±Min–Max) of soil moisture (<b>A</b>) and height of herbaceous vegetation (<b>B</b>) from 2 research sites in the year 2020. The asterisks show the statistical significance of differences at the level &lt;0.001 (***); ns—not significant.</p>
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<p>The radar chart presenting the number of generative and vegetative individuals at sites 1 (Jaćmierz) and 2 (Zagórzyce).</p>
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20 pages, 5072 KiB  
Article
Diversity, Ecology and Phytogeography of Bryophytes across Temperate Forest Communities—Insight from Mt. Papuk (Croatia, SE Europe)
by Antun Alegro, Vedran Šegota, Anja Rimac and Beáta Papp
Plants 2023, 12(19), 3346; https://doi.org/10.3390/plants12193346 - 22 Sep 2023
Cited by 2 | Viewed by 1920
Abstract
It has been widely documented that the complex structure of forest ecosystems supports considerable bryophyte species and functional diversity. In this study, we assessed the diversity, distribution and ecological and phytogeographical features of bryophytes across a gradient of temperate forest types on Mt. [...] Read more.
It has been widely documented that the complex structure of forest ecosystems supports considerable bryophyte species and functional diversity. In this study, we assessed the diversity, distribution and ecological and phytogeographical features of bryophytes across a gradient of temperate forest types on Mt. Papuk. This is the largest and highest mountain in the lowland, Pannonian part of Croatia, with high geological diversity and various temperate forests covering 95% of the mountain. According to the predominant tree species (oak vs. beech), geological bedrock (calcareous vs. siliceous) and soil reaction (alkaline vs. acidic), 21 study plots were classified into four distinct forest types. In all, 184 bryophyte species (35 liverworts and 149 mosses) were recorded. Although the forest types investigated did not differ significantly with respect to species richness, each was characterized by a considerable number of diagnostic bryophyte species. According to our results, one of the main ecological factors determining the variability of the forest bryophyte composition was geological bedrock and the associated soil reaction. Basiphilous forests developed on carbonate bedrock harbored more thermophilous and nitrophilous bryophytes and were characterized by southern-temperate and Mediterranean–Atlantic biogeographic elements. In contrast, acidophilous forests growing on silicate bedrock were characterized by wide-boreal and boreo-arctic–montane elements, i.e., bryophytes indicating cooler habitats and nitrogen-deficient soils. Based on the results, we hypothesized that the main latitudinal biogeographic distinction between southern and northern biogeographic elements is driven more by geological substrate than by the main tree species in forest communities. The present study confirmed previous findings that bryophytes are good and specific habitat indicators and show associations with different forest types, which can help to understand the complexity, ecological microconditions and biogeographic characteristics of forest communities. Full article
(This article belongs to the Section Plant Ecology)
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<p>Bryophyte alpha diversity indices across investigated forest types. FA—acidophilous beech forests, FB—basiphilous beech forests, QA—acidophilous oak forests, QB—basiphilous oak forests.</p>
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<p>Box-plot graphs of bryophyte Ellenberg’s indicator values (EIVs) for temperature (T), light (L), moisture (F), reaction (R), nutrients (N) and measured soil pH across investigated forest types. FA—acidophilous beech forests, FB—basiphilous beech forests, QA—acidophilous oak forests, QB—basiphilous oak forests.</p>
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<p>DCA ordination graphs of investigated plots in different forest types with Ellenberg’s indicator values (<b>A</b>), biogeographic elements based on major biome (<b>B</b>) and eastern limit (<b>C</b>) passively projected as vectors. FA—acidophilous beech forests, FB—basiphilous beech forests, QA—acidophilous oak forests, QB—basiphilous oak forests; Ellenberg’s indicator values: T—temperature, L—light, F—moisture, R—reaction, N—nutrients; biogeographic elements: Temp–temperate, Boreo-temp—oreo-temperate, Boreal-m—boreal–montane, Boreo-ar—boreo-arctic–montane, Wide-bor—wide-boreal, Wide-temp—wide-temperate, S-temp—southern-temperate, Med-Atl—Mediterranean–Atlantic.</p>
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<p>Spectrum of biogeographic elements regarding major biomes (E1) for the bryophyte flora of Mt. Papuk through forest types. FA—acidophilous beech forests, FB—basiphilous beech forests, QA—acidophilous oak forests, QB—basiphilous oak forests.</p>
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<p>Spectrum of biogeographic elements regarding eastern limit category (E2) for the bryophyte flora of Mt. Papuk through forest types.</p>
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<p>Geographical position of the study area in southeast Europe and Croatia and distribution of the investigated plots on Mt. Papuk.</p>
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<p>Investigated forest types. (<b>A</b>)—acidophilous beech forest (FA); (<b>B</b>)—basiphilous beech forest (FB); (<b>C</b>)—acidophilous oak forests (QA); (<b>D</b>)—basiphilous oak forests (QB).</p>
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20 pages, 2707 KiB  
Article
Assessment of Herbaceous Plant Composition, Diversity, and Indicator Species in the Juniperus drupacea Forest Openings of the Mountain Parnonas in Greece
by Alexandra D. Solomou, Evangelia Korakaki, Evangelia V. Avramidou, Stefanos Boutsios, Spyridon Oikonomidis and Evangelia Daskalakou
Sustainability 2023, 15(18), 13765; https://doi.org/10.3390/su151813765 - 15 Sep 2023
Cited by 4 | Viewed by 1528
Abstract
A significant challenge in community ecology is the establishment of ecological baselines, which permit the evaluation of the variations in ecological dynamics at different temporal and spatial scales. To our best knowledge, few studies have been conducted in the forest openings of Mt. [...] Read more.
A significant challenge in community ecology is the establishment of ecological baselines, which permit the evaluation of the variations in ecological dynamics at different temporal and spatial scales. To our best knowledge, few studies have been conducted in the forest openings of Mt. Parnon to establish a baseline for future monitoring. Hence, a floristic study of the herbaceous plant species composition, diversity, cover, and biomass was conducted in the forest openings of the Mt. Parnon-Natura 2000 Site in Greece to develop an ecological baseline that could be utilized in decision making for conservation and the sustainable use of forest biodiversity and ecosystem services in the forest ecosystem of Mt. Parnon. In the spring season, a thorough floristic survey was performed on Mt. Parnon for two consecutive years, 2021 and 2022. Herbaceous plant composition, diversity, cover, biomass, and plant indicator species (indicator value analysis) in the forest openings of Mt. Parnon were assessed. In the studied area, 63 plant species belonging to 58 genera from 20 families were recorded. The most numerous families were Asteraceae and Poaceae, followed by Fabaceae. Variable plant diversity, herbaceous plant cover, and produced biomass were recorded in different sites. It is noteworthy that some plant species could be regarded as indicators of the sites in the study area [Geranium molle L., Cerastium candidissimum Correns, Vicia villosa Roth, Euphorbia myrsinites L., Odontarrhena muralis (Waldst. & Kit.) Endl., Medicago lupulina L., Lotus corniculatus L., Crepis fraasii Sch. Bip., Bellis sylvestris Cirillo, and Trifolium stellatum L.], and information about these indicators, including Ellenberg type indicator values, is also provided. This study contributes to the understanding of the relevant ecological topics and provides key elements that could be utilized in decision making for the conservation and sustainable use of forest biodiversity and ecosystem services on Mt. Parnon. Full article
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<p>The study area (S1–S10 sampling sites) is located on Mt. Parnon (Peloponnesus, Greece).</p>
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<p>Variation of mean daily temperature and precipitation in the study area according to the data from the nearest meteorological station at Malevi Monastery.</p>
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<p>Example of the sampling plots comprising (<b>a</b>) 100 m<sup>2</sup> and (<b>b</b>) 1 m<sup>2</sup>.</p>
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<p>Distribution of plant species across families in the investigated <span class="html-italic">J. drupacea</span> forest openings in the Mt. Parnon.</p>
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<p>Mean cover (%) of herbaceous plants in the sampling sites (S1–S10). For all sites with the same letter, the difference between the means is not statistically significant.</p>
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<p>Mean biomass of herbaceous plants produced (g/m<sup>2</sup>) in the sampling sites. For all sites with the same letter, the difference between the means is not statistically significant.</p>
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15 pages, 3462 KiB  
Article
Climate Change and Wetland Ecosystems: The Effects on Halophilous Vegetation Diversity in Il-Ballut ta’ Marsaxlokk Natura 2000 Site (Malta)
by Gianmarco Tavilla, Arthur Lamoliere, James Gabarretta, Vincent Attard, Jonathan Henwood, Darrin T. Stevens, Gianpietro Giusso del Galdo, Pietro Minissale, Veronica Ranno, Maria Adamo, Valeria Tomaselli, Saverio Sciandrello and Sandro Lanfranco
Land 2023, 12(9), 1679; https://doi.org/10.3390/land12091679 - 28 Aug 2023
Cited by 3 | Viewed by 2247
Abstract
Climate change poses a fundamental threat to the wetlands. The Mediterranean basin is a biodiversity hotspot, and wetlands are important for maintaining this status. The current study evaluated the halophilous vegetation diversity of one of the most relevant Maltese wetlands, Il-Ballut ta’ Marsaxlokk [...] Read more.
Climate change poses a fundamental threat to the wetlands. The Mediterranean basin is a biodiversity hotspot, and wetlands are important for maintaining this status. The current study evaluated the halophilous vegetation diversity of one of the most relevant Maltese wetlands, Il-Ballut ta’ Marsaxlokk Natura 2000 site, also identified under the Water Framework Directive. A vegetation analysis was carried out according to the Braun–Blanquet approach. The processed dataset included both data from the literature and unpublished data. To quantify vegetation structure and diversity, a hierarchical classification (Chord distance; Ward linkage) and diversity and ecological indices were performed. Diachronic analysis of the taxonomic diversity indices and the Ellenberg indicator values were taken into account. We used an NMDS analysis to assess the ecological fingerprint of the vegetation. In addition, we provided an actual vegetation map for Il-Ballut ta’ Marsaxlokk, based on drone orthophotos. We identified five EU Directive habitats in the study area (1150*, 1310, 1410, 1420, and 92D0) of which one (1150*) was reported for the first time. The ecological fingerprint of the halophilous vegetation has undergone changes over time, particularly due to increasing temperatures. In fact, the results showed that nutrients and temperature were the strongest environmental drivers of the site. The results and methodology of this study demonstrate how vegetation studies can serve as tools to improve knowledge, management actions, and landscape planning of Natura 2000 sites. Full article
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<p>Location of Il-Ballut ta’ Marsaxlokk S.A.C, Malta (red outline).</p>
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<p>Silhouette plot of the Chord–Ward clustering for relevés in Il-Ballut ta’ Marsaxlokk. Positive silhouette values mean there are points that are far away from the other clusters and, therefore, each cluster is well separated from the neighboring cluster. Silhouette value ranges from −1 to 1.</p>
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<p>Hierarchical clustering of phytosociological relevés from Brullo et al. 2020 (B letter) and unpublished data (G letter) using Ward’s method and Chord distance. The cophenetic correlation coefficient was 0.849.</p>
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<p>Plot showing the diversity profile according to Hill numbers: species richness (square), Shannon diversity (circle), and Simpson diversity (triangle).</p>
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<p>Non-metric multidimensional scaling (NMDS) of the all-species dataset, (<b>a</b>) Shepard diagram. (<b>b</b>) Goodness of fit, where poorly fitted sites have larger bubbles. (<b>c</b>) Significance of environmental variables (stress value = 0.129). (<b>d</b>) Ecogram of the Il-Ballut ta’ Marsaxlokk wetland plant communities during different periods. Abbreviations: light (L), temperature (T), soil moisture (M), soil reaction I, nutrients (N), and salinity (S). The labels for groups follow those of the cluster.</p>
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<p>Multiplicative beta-diversity of the salt marsh communities as a function of the order of the diversity index (<b>A</b>). data from 1986, (<b>B</b>). data from 2022. Error bars represent standard errors computed using the bootstrap method.</p>
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<p>Il-Ballut ta’ Marsaxlokk wetland habitat map in accordance with Annex I Directive 92/43/EEC.</p>
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<p>Diagram comparing the current Annex I habitat coverage in the study area.</p>
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19 pages, 3079 KiB  
Article
Taxonomic Diversity and Selection of Functional Traits in Novel Ecosystems Developing on Coal-Mine Sedimentation Pools
by Agnieszka Kompała-Bąba, Wojciech Bąba, Karolina Ryś, Robert Hanczaruk, Łukasz Radosz, Dariusz Prostański and Gabriela Woźniak
Sustainability 2023, 15(3), 2094; https://doi.org/10.3390/su15032094 - 22 Jan 2023
Cited by 3 | Viewed by 1678
Abstract
Coal-mine sedimentation pools are extrazonal habitats in which the anthropogenic changes of all historic, abiotic, and biotic components, followed by conditions of extreme environmental stress, lead to the formation of novel ecosystems. Our study aims to (i) classify the vegetation on the basis [...] Read more.
Coal-mine sedimentation pools are extrazonal habitats in which the anthropogenic changes of all historic, abiotic, and biotic components, followed by conditions of extreme environmental stress, lead to the formation of novel ecosystems. Our study aims to (i) classify the vegetation on the basis of floristic and ecological criteria, (ii) detect the main environmental gradients responsible for the diversity of vegetation, and (iii) present the selection of species’ functional traits along environmental gradients. A cluster analysis of the floristic data revealed 14 distinct combinations of species. Short- and long-lived ruderals, meadow, xerothermic, and psammophilous species make up the floristic composition of vegetation. A canonical correspondence analysis on the floristic data and average Ellenberg’s indicator values confirmed moisture, soil reaction, and salinity as the main gradients, while fertility and insolation were secondary gradients shaping the diversity of vegetation. A RLQ with a subsequent cluster analysis revealed four groups of species traits selected along environmental gradients. These differed with reference to morphological (canopy height) and physiological traits (specific leaf area, or SLA), as well as persistence (life span), regeneration (reproduction by seeds or vegetative reproduction), and dispersal functional traits. This knowledge can be crucial when planning the restoration of these sites by using spontaneous succession and learning how the various environmental resources can be used to restore or provide new ecosystem services. Full article
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<p>The distribution of coal mines in the Silesian Uplands (1—border of the Silesian Uplands, 2—border of the mesoregion, 3—coal mines, 4—towns, 5—water bodies, including rivers).</p>
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<p>Classification dendrogram, obtained from cluster analysis, down to the level of 14 final clusters. Ecological differences between clusters at a particular level of clustering were tested for their Ellenberg’s indicator values by using the Mann–Whitney U test. Differences significant at <span class="html-italic">p</span> &lt; 0.05 are displayed (Chg-Chr—<span class="html-italic">Chenopodium glaucum-Chenopodium rubrum</span> community (com.), Dc-Ca—<span class="html-italic">Deschampsia caespitosa</span>-<span class="html-italic">Cirsium arvense</span> com., Cha—<span class="html-italic">Chenopodium album</span> com., Pi—<span class="html-italic">Plantago intermedia</span> com., Ap—<span class="html-italic">Atriplex prostrata</span> spp. <span class="html-italic">prostrata</span> com., Pd—<span class="html-italic">Puccinellia distans</span> com., Chs-Pa—<span class="html-italic">Chamomilla suaveolens-Polygonum aviculare</span> com., Ml—<span class="html-italic">Medicago lupulina</span> com., Ma—<span class="html-italic">Melilotus alba</span> com., Dc—<span class="html-italic">Daucus carota</span> com., Av-Tv—<span class="html-italic">Artemisia vulgaris-Tanacetum vulgare</span> com., Ce—<span class="html-italic">Calamagrostis epigejos</span> com., Pha-Sc—<span class="html-italic">Phragmites australis-Solidago canadensis</span> com., Tf—<span class="html-italic">Tussilago farfara</span> com.).</p>
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<p>Distribution of sample plots along an environmental gradient.</p>
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<p>The RLQ analysis of species functional traits and habitats. This plot consists of seven graphs. RLQ analysis computed coefficients for the traits and the environmental variables (“R canonical weights” and “Q canonical weights”). These loadings were used to compute two sets of scores, allowing the positioning of sites by their environmental conditions (top-left graph) and species by their traits (Q, top-right graph). RLQ analysis maximised the squared cross-covariances, weighted by the abundances, between these two sets of scores.</p>
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<p>The position of the derived functional groups (A–D) in the functional traits–environment relationship space (Sv—reproducing mainly by seeds and vegetatively, S—reproducing by seeds, Sv—reproducing by seeds and vegetatively, Vvs—reproducing mainly vegetatively and by seeds).</p>
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<p>The differences between response groups distinguished in coal-mine sedimentation pools in terms of life span.</p>
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<p>The differences between response groups distinguished in coal-mine sedimentation pools in terms of canopy height, specific leaf area (SLA), and seed weight.</p>
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<p>The spectrum of reproduction types in response groups distinguished in coal-mine sedimentation pools (S—species that reproduce mainly by seeds; Sv—species that reproduce by seeds and vegetatively; Ssv—species that reproduce mainly by seeds and rarely vegetatively; Vvs—species that reproduce mainly vegetatively and rarely by seeds). In the case of quantitative variables, 0 means absent and 1 means present of a trait.</p>
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<p>The spectrum of main dispersal strategies of species in response groups distinguished in coal-mine sedimentation pools (Allium type—mainly autochory, less frequently anemochory, endozoochory, and epizoochory; Bidens type—mainly autochory and epizoochory, less frequently endozoochory; Epilobium—mainly anemochory and autochory, less frequently endozoochory and epizoochory; Phragmites—mainly anemochory and hydrochory, less frequently endozoochory and epizoochory).</p>
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18 pages, 4610 KiB  
Article
Ellenberg Indicator Values Disclose Complex Environmental Filtering Processes in Plant Communities along an Elevational Gradient
by Letizia Di Biase, Noelline Tsafack, Loretta Pace and Simone Fattorini
Biology 2023, 12(2), 161; https://doi.org/10.3390/biology12020161 - 19 Jan 2023
Cited by 6 | Viewed by 6930
Abstract
Ellenberg indicator values (EIVs) express plant preferences for temperature, light, continentality, soil moisture, pH, and soil nutrients, and have been largely used to deduce environmental characteristics from plant communities. However, EIVs might also be used to investigate the importance of filtering mechanisms in [...] Read more.
Ellenberg indicator values (EIVs) express plant preferences for temperature, light, continentality, soil moisture, pH, and soil nutrients, and have been largely used to deduce environmental characteristics from plant communities. However, EIVs might also be used to investigate the importance of filtering mechanisms in shaping plant communities according to species ecological preferences, a so far overlooked use of EIVs. In this paper, we investigated how community-weighted means (CWM), calculated with EIVs, varied along an elevational gradient in a small mountain in Central Italy. We also tested if species abundances varied according to their ecological preferences. We found that the prevalence of thermophilous species declines with elevation, being progressively replaced by cold-adapted species. Heliophilous species prevail at low and high elevations (characterized by the presence of open habitats), whereas in the middle of the gradient (occupied by the beech forest), sciophilous species predominate. Variations for moisture and soil nutrient preferences followed a similar pattern, probably because of the high moisture and nutrient levels of forest soils with a lot of humus. No distinct pattern was detected for EIVs for pH and continentality since these factors are subject to more local variations. These results highlight the possible role of EIVs to investigate how environmental gradients shape plant communities. Full article
(This article belongs to the Section Conservation Biology and Biodiversity)
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<p>Relationship between Ellenberg indicator values for temperature and elevation in plant communities along an elevational gradient in Central Italy. The left panel (<b>a</b>) presents the CWM regression model and statistical corrections based on the fourth-corner analysis. The right panel (<b>b</b>) presents the results of the multi-level model (trait × environment interaction <span class="html-italic">p</span> &lt; 0.001, marginal R<sup>2</sup> = 0.06).</p>
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<p>Relationship between Ellenberg indicator values for light and elevation in plant communities along an elevational gradient in Central Italy. The upper panels (<b>a</b>–<b>d</b>) present CWM regression models and their statistical corrections using fourth-corner analysis for the entire gradient (<b>a</b>), for the lower subgradient (<b>b</b>), and for the upper subgradient (<b>c</b>). The lower panels (<b>d</b>–<b>f</b>) illustrate the results of multi-level models for the entire gradient (<b>d</b>, trait × environment interaction <span class="html-italic">p</span> &lt; 0.001, marginal R<sup>2</sup> = 0.03), for the lower subgradient (<b>e</b>, trait × environment interaction <span class="html-italic">p</span> &lt; 0.001, marginal R<sup>2</sup> = 0.26), and for the upper subgradient (<b>f</b>, trait × environment interaction <span class="html-italic">p</span> &lt; 0.001, marginal R<sup>2</sup> = 0.32).</p>
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<p>Relationship between Ellenberg indicator values for moisture and elevation in plant communities along an elevational gradient in Central Italy. The upper panels (<b>a</b>–<b>d</b>) present CWM regression models and their statistical corrections using fourth-corner analysis for the entire gradient (<b>a</b>), for the lower subgradient (<b>b</b>), and for the upper subgradient (<b>c</b>). The lower panels (<b>d</b>–<b>f</b>) illustrate the results of multi-level models for the entire gradient (<b>d</b>, trait × environment interaction <span class="html-italic">p</span> &lt; 0.01, marginal R<sup>2</sup> = 0.02), for the lower subgradient (<b>e</b>, trait × environment interaction <span class="html-italic">p</span> &lt; 0.001, marginal R<sup>2</sup> = 0.21), and for the upper subgradient (<b>f</b>, trait × environment interaction <span class="html-italic">p</span> &lt; 0.001, marginal R<sup>2</sup> = 0.13).</p>
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<p>Relationship between Ellenberg indicator values for nutrients and elevation in plant communities along an elevational gradient in Central Italy. The upper panels (<b>a</b>–<b>d</b>) present CWM regression models and their statistical corrections using fourth-corner analysis for the entire gradient (<b>a</b>), for the lower subgradient (<b>b</b>), and for the upper subgradient (<b>c</b>). The lower panels (<b>d</b>–<b>f</b>) illustrate the results of multi-level models for the entire gradient (<b>d</b>, trait × environment interaction <span class="html-italic">p</span> &lt; 0.01, marginal R<sup>2</sup> = 0.01), for the lower subgradient (<b>e</b>, trait × environment interaction <span class="html-italic">p</span> &lt; 0.001, marginal R<sup>2</sup> = 0.13), and for the upper subgradient (<b>f</b>, trait × environment interaction <span class="html-italic">p</span> &lt; 0.001, marginal R<sup>2</sup> = 0.15).</p>
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<p>Relationship between Ellenberg indicator values for continentality and elevation in plant communities along an elevational gradient in Central Italy. The left panel (<b>a</b>) presents the CWM regression model and statistical corrections based on the fourth-corner analysis. The right panel (<b>b</b>) presents the results of the multi-level model (trait × environment interaction <span class="html-italic">p</span> &lt; 0.001, marginal R<sup>2</sup> = 0.001).</p>
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<p>Relationship between Ellenberg indicator values for reaction (pH) and elevation in plant communities along an elevational gradient in Central Italy. The left panel (<b>a</b>) presents the CWM regression model and statistical corrections based on the fourth-corner analysis. The right panel (<b>b</b>) presents the results of the multi-level model (trait × environment interaction <span class="html-italic">p</span> = 0.45, marginal R<sup>2</sup> = 0.003).</p>
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18 pages, 833 KiB  
Review
Global Overview of Modern Research Based on Ellenberg Indicator Values
by Ekaterina Zolotova, Natalya Ivanova and Svetlana Ivanova
Diversity 2023, 15(1), 14; https://doi.org/10.3390/d15010014 - 21 Dec 2022
Cited by 11 | Viewed by 4238
Abstract
The ecological indicator values are the most common and sufficiently effective method of habitat assessment. The aim of our research review is to analyze current studies from 2020 to 2022 in which researchers have used Ellenberg indicator values to address a variety of [...] Read more.
The ecological indicator values are the most common and sufficiently effective method of habitat assessment. The aim of our research review is to analyze current studies from 2020 to 2022 in which researchers have used Ellenberg indicator values to address a variety of problems. We limited the study to papers that are published in journals indexed by Scopus and Web of Science. The total number of records examined was 358. The number of records selected was 98. Visualization of the distribution of studies by country is based on the GeoCharts library. The results revealed that about half of the studies were conducted in Germany and Poland, and the most common objects were forests and grasslands. Almost half of the studies were devoted to ecological niches, habitat analysis, assessment of vegetation dynamics, and influence of various factors on plants. The analyzed articles are actively cited. In general, our research analysis revealed the effectiveness of Ellenberg indicator values for solving a wide range of urgent problems for a variety of plant communities, and different climate zones. The results of our research confirmed the advisability of actively using this approach. Full article
(This article belongs to the Section Biodiversity Loss & Dynamics)
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<p>Geography of the use of Ellenberg indicator values in modern research: 1–31—the number of studies over the past 3 years based on Ellenberg indicator values.</p>
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<p>Paper ranker distribution on the basis of “citing”.</p>
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16 pages, 2806 KiB  
Article
Diversity Patterns of Macrofungi in Xerothermic Grasslands from the Nida Basin (Małopolska Upland, Southern Poland): A Case Study
by Janusz Łuszczyński, Edyta Adamska, Anna Wojciechowska and Joanna Czerwik-Marcinkowska
Biology 2022, 11(4), 531; https://doi.org/10.3390/biology11040531 - 30 Mar 2022
Cited by 3 | Viewed by 2677
Abstract
Macrofungal communities were investigated in seven plant associations of xerothermic grasslands in the Nida Basin located in the Małopolska Upland of southern Poland. Designation of associations at selected study sites was based on phytosociological relevés using the Braun-Blanquet method. During the years 2010–2013, [...] Read more.
Macrofungal communities were investigated in seven plant associations of xerothermic grasslands in the Nida Basin located in the Małopolska Upland of southern Poland. Designation of associations at selected study sites was based on phytosociological relevés using the Braun-Blanquet method. During the years 2010–2013, we studied the diversity and distribution of macrofungi in dry grasslands, where 164 species of basidio- and ascomycetes were recovered. We determined the properties of the studied fungal communities and habitat preferences of individual species found in the analyzed xerothermic plant associations using ecological indicators for macrofungi according to Ellenberg indicator values. Diversity patterns of fungal communities in xerothermic grasslands are strongly influenced by various environmental factors. In our study, we focused on recording the fruiting bodies of all macrofungi and the proportion of each species in the study communities, as well as possible identification of the most likely indicator species for particular habitats. We found significant differences for two of the seven associations analyzed, namely Thalictro-Salvietum pratensis and Inuletum ensifoliae. However, based on Ellenberg indicator values for fungi, it is not possible to clearly define fungi as indicator species. Full article
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<p>Collection sites in the Nida Basin on map of Poland showing the geographic location of the studied xerothermic grasslands (marked in red).</p>
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<p>The representative xerothermic grassland habitats in the Nida Basin (southern Poland) where fungi were collected between 2010 and 2013: (<b>A</b>) <span class="html-italic">Adonido-Brachypodietum pinnati</span>, (<b>B</b>) <span class="html-italic">Seslerio-Scorzonetum</span> <span class="html-italic">purpureae</span>, (<b>C</b>) <span class="html-italic">Thalictro-Salvietum pratensis</span>, and (<b>D</b>) <span class="html-italic">Festucetum pallentis</span>.</p>
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<p>Shannon Diversity Index H′ calculated [±SD and SE] for the dataset of the number of macrofungal species found in the studied plant communities in the years 2010–2013. Letters on the chart indicate the results of one-way ANOVA and post hoc Tukey test analysis. Variables marked with the same letter did not differ from one another significantly, whereas significant differences (<span class="html-italic">p</span> &lt; 0.05) occur between groups marked with different letters.</p>
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<p>Characteristics of the studied plant associations in the years 2010–2013 with PCA analysis using Ellenberg indicator values of fungi. Legend: AB—<span class="html-italic">Adonido</span>–<span class="html-italic">Brachypodietum pinnati</span>, Fp—<span class="html-italic">Festucetum pallentis</span>, Ie—<span class="html-italic">Innuletum ensifoliae</span>, KF—<span class="html-italic">Koelerio</span>–<span class="html-italic">Festucetum</span>, SSc—<span class="html-italic">Seslerio</span>–<span class="html-italic">Scorzoneretum purpureae</span>, SSt—<span class="html-italic">Sissymbrio</span>–<span class="html-italic">Stipetum capillatae</span>, TS—<span class="html-italic">Thalictro</span>–<span class="html-italic">Salvietum pratensis</span>; indicators: L—light intensity, T—annual temperature, F—substrate moisture content, N—substrate nutrient availability, O—substrate openness, R—substrate reaction (following [<a href="#B21-biology-11-00531" class="html-bibr">21</a>]).</p>
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<p>Diversity (H′) in the ordination plot (CCA). Vectors marked in red represent variables that are statistically significant for diversity in the model. Legend: AB—<span class="html-italic">Adonido</span>–<span class="html-italic">Brachypodietum pinnati</span>, Fp—<span class="html-italic">Festucetum pallentis</span>, Ie—<span class="html-italic">Innuletum ensifoliae</span>, KF—<span class="html-italic">Koelerio</span>–<span class="html-italic">Festucetum</span>, SSc—<span class="html-italic">Seslerio</span>–<span class="html-italic">Scorzoneretum purpureae</span>, TS—<span class="html-italic">Thalictro</span>–<span class="html-italic">Salvietum pratensis</span>.</p>
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<p>Canonical correspondence analysis (CCA) for the dataset on the occurrence of macrofungal species in studied plant associations. Vectors of variables which are significant for diversity are marked in red. They explain collectively 14.5% of the total variability. Abbreviations of species names are as follows: <span class="html-italic">Aga.arv</span>, <span class="html-italic">Agaricus arvensis</span>; <span class="html-italic">Aga.bis</span>, <span class="html-italic">Agaricus bisporus</span>; <span class="html-italic">Ath.del</span>, <span class="html-italic">Atheniella delectabilis</span>; <span class="html-italic">Ath.fla</span>, <span class="html-italic">Atheniella flavoalba</span>; <span class="html-italic">Cal.gig</span>, <span class="html-italic">Calvatia gigantea</span>; <span class="html-italic">Chl.rha</span>, <span class="html-italic">Chlorophyllum rhacodes</span>; <span class="html-italic">Cli.dea</span>, <span class="html-italic">Clitocybe dealbata</span>; <span class="html-italic">Cop.fri</span>, <span class="html-italic">Coprinopsis friesii</span>; <span class="html-italic">Ent.con</span>, <span class="html-italic">Entoloma conferendum</span>; <span class="html-italic">Fla.ono</span>, <span class="html-italic">Flammulina ononidis</span>; <span class="html-italic">Hem.cuc</span>, <span class="html-italic">Hemimycena cucullata</span>; <span class="html-italic">Hym.rep</span>, <span class="html-italic">Hymenoscyphus repandus</span>; <span class="html-italic">Lep.cri</span>, <span class="html-italic">Lepiota cristata</span>; <span class="html-italic">Lep.erm</span>, <span class="html-italic">Lepiota erminea</span>; <span class="html-italic">Lep.lus</span>, <span class="html-italic">Lepiota luscina</span>; <span class="html-italic">Mac.rub</span>, <span class="html-italic">Macrolepiota rubescens</span>; <span class="html-italic">Myc.pse</span>, <span class="html-italic">Mycena pseudopicta</span>; <span class="html-italic">Orb.sar</span>, <span class="html-italic">Orbilia sarraziniana</span>; <span class="html-italic">Pan.foe</span>, <span class="html-italic">Panaeolina foenisecii</span>. Abbreviations for associations: AB—<span class="html-italic">Adonido</span>–<span class="html-italic">Brachypodietum pinnati</span>, Fp—<span class="html-italic">Festucetum pallentis</span>, Ie—<span class="html-italic">Innuletum ensifoliae</span>, KF—<span class="html-italic">Koelerio</span>–<span class="html-italic">Festucetum</span>, SSc—<span class="html-italic">Seslerio</span>–<span class="html-italic">Scorzoneretum purpureae</span>, TS—<span class="html-italic">Thalictro</span>–<span class="html-italic">Salvietum pratensis</span>. <b>GROUP A: <span class="html-italic">Aga.cam</span></b> <span class="html-italic">Agaricus campestris</span>, <span class="html-italic"><b>Aga.xan</b> Agaricus xanthodermus</span>, <span class="html-italic"><b>Agr.ped</b> Agrocybe pediades</span>, <span class="html-italic"><b>Ale.aur</b> Aleuria aurantia</span>, <span class="html-italic"><b>Arr.gri</b> Arrhenia griseopallida</span>, <span class="html-italic"><b>Bov.aes</b> Bovista aestivalis</span>, <span class="html-italic"><b>Bov.lim</b> Bovista limosa</span>, <span class="html-italic"><b>Bov.nig</b> Bovista nigrescens</span>, <span class="html-italic"><b>Bov.plu</b> Bovista plumbea</span>, <span class="html-italic"><b>Bov.tom</b> Bovista tomentosa</span>, <span class="html-italic"><b>Bov.utr</b> Bovistella utriformis</span>, <span class="html-italic"><b>Cli.pop</b> Clitocella popinalis</span>, <span class="html-italic"><b>Cli.agr</b> Clitocybe agrestis</span>, <span class="html-italic"><b>Con.apa</b> Conocybe apala</span>, <span class="html-italic"><b>Con.pse</b> Conocybe pseudocrispa</span>, <span class="html-italic"><b>Con.pub</b> Conocybe pubescens</span>, <span class="html-italic"><b>Con.sie</b> Conocybe siennophylla</span>, <span class="html-italic"><b>Con.ten</b> Conocybe tenera</span>, <span class="html-italic"><b>Cor.gal</b> Coriolopsis gallica</span>, <span class="html-italic"><b>Cre.epi</b> Crepidotus epibryus</span>, <span class="html-italic"><b>Cri.sca</b> Crinipellis scabella</span>, <span class="html-italic"><b>Cru.lae</b> Crucibulum laeve</span>, <span class="html-italic"><b>Cup.pra</b> Cuphophyllus pratensis</span>, <span class="html-italic"><b>Cup.rus</b> Cuphophyllus russocoriaceus</span>, <span class="html-italic"><b>Cup.vir</b> Cuphophyllus virgineus</span>, <span class="html-italic"><b>Cya.oll</b> Cyathus olla</span>, <span class="html-italic"><b>Cya.ste</b> Cyathus stercoreus</span>, <span class="html-italic"><b>Dec.cop</b> Deconica coprophila</span>, <span class="html-italic"><b>Dec.inq</b> Deconica inquilina</span>, <span class="html-italic"><b>Dec.mon</b> Deconica montana</span>, <span class="html-italic"><b>Dis.bov</b> Disciseda bovista</span>, <span class="html-italic"><b>Dis.can</b> Disciseda candida</span>, <span class="html-italic"><b>Dis.ver</b> Disciseda verrucosa</span>, <span class="html-italic"><b>Ent.inc</b> Entoloma incanum</span>, <span class="html-italic"><b>Ent.sec</b> Entoloma sericeum</span>, <span class="html-italic"><b>Ent.ser</b> Entoloma serrulatum</span>, <span class="html-italic"><b>Gal.emb</b> Galerina embolus</span>, <span class="html-italic"><b>Gal.gra</b> Galerina graminea</span>, <span class="html-italic"><b>Gal.mar</b> Galerina marginata</span>, <span class="html-italic"><b>Gal.pum</b> Galerina pumila</span>, <span class="html-italic"><b>Gal.tri</b> Galerina triscopa</span>, <span class="html-italic"><b>Gas.sim</b> Gastrosporium simplex</span>, <span class="html-italic"><b>Gea.ber</b> Geastrum berkeleyi</span>, <span class="html-italic"><b>Gea.cam</b> Geastrum campestre</span>, <span class="html-italic"><b>Gea.kot</b> Geastrum kotlabae</span>, <span class="html-italic"><b>Gea.min</b> Geastrum minimum</span>, <span class="html-italic"><b>Gea.nan</b> Geastrum nanum</span>, <span class="html-italic"><b>Gea.pec</b> Geastrum pectinatum</span>, <span class="html-italic"><b>Geo.are</b> Geopora arenicola</span>, <span class="html-italic"><b>Gli.lae</b> Gliophorus laetus</span>, <span class="html-italic"><b>Gym.oci</b> Gymnopus ocior</span>, <span class="html-italic"><b>Heb.mes</b> Hebeloma mesophaeum</span>, <span class="html-italic"><b>Hem.cri</b> Hemimycena crispata</span>, <span class="html-italic"><b>Hem.mai</b> Hemimycena mairei</span>, <span class="html-italic"><b>Hyg.acu</b> Hygrocybe acutoconica</span>, <span class="html-italic"><b>Hyg.ing</b> Hygrocybe ingrata</span>, <span class="html-italic"><b>Hyg.muc</b> Hygrocybe mucronella</span>, <span class="html-italic"><b>Hyg.par</b> Hygrocybe parvula</span>, <span class="html-italic"><b>Hym.scu</b> Hymenoscyphus scutula</span>, <span class="html-italic"><b>Hyp.fas</b> Hypholoma fasciculare</span>, <span class="html-italic"><b>Ino.ser</b> Inocybe serotina</span>, <span class="html-italic"><b>Lac.tor</b> Lactarius torminosus</span>, <span class="html-italic"><b>Len.bru</b> Lentinus brumalis</span>, <span class="html-italic"><b>Lep.cri</b> Lepiota cristata</span>, <span class="html-italic"><b>Lep.erm</b> Lepiota erminea</span>, <span class="html-italic"><b>Lep.ore</b> Lepiota oreadiformis</span>, <span class="html-italic"><b>Lep.per</b> Lepista personata</span>, <span class="html-italic"><b>Lep.sor</b> Lepista sordida</span>, <span class="html-italic"><b>Leu.cre</b> Leucocoprinus cretaceus</span>, <span class="html-italic"><b>Lic.umb</b> Lichenomphalia umbellifera</span>, <span class="html-italic"><b>Lyc.der</b> Lycoperdon dermoxanthum</span>, <span class="html-italic"><b>Lyc.exc</b> Lycoperdon excipuliforme</span>, <span class="html-italic"><b>Lyc.liv</b> Lycoperdon lividum</span>, <span class="html-italic"><b>Lyc.mol</b> Lycoperdon molle</span>, <span class="html-italic"><b>Lyc.per</b> Lycoperdon perlatum</span>, <span class="html-italic"><b>Lyc.pra</b> Lycoperdon pratense</span>, <span class="html-italic"><b>Mac.exc</b> Macrolepiota excoriata</span>, <span class="html-italic"><b>Mac.mas</b> Macrolepiota mastoidea</span>, <span class="html-italic"><b>Mac.pro</b> Macrolepiota procera</span>, <span class="html-italic"><b>Mac.ven</b> Macrolepiota venenata</span>, <span class="html-italic"><b>Mar.cur</b> Marasmius curreyi</span>, <span class="html-italic"><b>Mar.lim</b> Marasmius limosus</span>, <span class="html-italic"><b>Mar.ore</b> Marasmius oreades</span>, <span class="html-italic"><b>Mar.rot.</b> Marasmius rotula</span>, <span class="html-italic"><b>Mel.mel</b> Melanoleuca melaleuca</span>, <span class="html-italic"><b>Myc.aet</b> Mycena aetites</span>, <span class="html-italic"><b>Myc.epi</b> Mycena epipterygia</span>, <span class="html-italic"><b>Myc.gar</b> Mycena galericulata</span>, <span class="html-italic"><b>Myc.gal</b> Mycena galopus</span>, <span class="html-italic"><b>Myc.lep</b> Mycena leptocephala</span>, <span class="html-italic"><b>Myc.oli</b> Mycena olivaceomarginata</span>, <span class="html-italic"><b>Omp.pyx</b> Omphalina pyxidata</span>, <span class="html-italic"><b>Pan.oli</b> Panaeolus olivaceus</span>, <span class="html-italic"><b>Pan.pap</b> Panaeolus papilionaceus</span>, <span class="html-italic"><b>Pan.con</b> Panus conchatus</span>, <span class="html-italic"><b>Pan.rud</b> Panus rudis</span>, <span class="html-italic"><b>Pez.ves</b> Peziza vesiculosa</span>, <span class="html-italic"><b>Pha.abi</b> Phaeoclavulina abietina</span>, <span class="html-italic"><b>Phe.pom</b> Phellinus pomaceus</span>, <span class="html-italic"><b>Pic.bad</b> Picipes badius</span>, <span class="html-italic"><b>Pro.sem</b> Protostropharia semiglobata</span>, <span class="html-italic"><b>Psa.cor</b> Psathyrella corrugis</span>, <span class="html-italic"><b>Psa.fat</b> Psathyrella fatua</span>, <span class="html-italic"><b>Psa.pro</b> Psathyrella prona</span>, <span class="html-italic"><b>Psa.pse</b> Psathyrella pseudogracilis</span>, <span class="html-italic"><b>Psa.spa</b> Psathyrella spadiceogrisea</span>, <span class="html-italic"><b>Psi.cor</b> Psilocybe coronilla</span>, <span class="html-italic"><b>Rho.par</b> Rhodocybe parilis</span>, <span class="html-italic"><b>Ric.fib</b> Rickenella fibula</span>, <span class="html-italic"><b>Sch.com</b> Schizophyllum commune</span>, <span class="html-italic"><b>Scl.gas</b> Sclerogaster gastrosporioides</span>, <span class="html-italic"><b>Ste.hir</b> Stereum hirsutum</span>, <span class="html-italic"><b>Str.alb</b> Stropharia albonitens</span>, <span class="html-italic"><b>Tep.amb</b> Tephrocybe ambusta</span>, <span class="html-italic"><b>Tra.hir</b> Trametes hirsuta</span>, <span class="html-italic"><b>Tra.och</b> Trametes ochracea</span>, <span class="html-italic"><b>Tri.pes</b> Tricholoma pessundatum</span>, <span class="html-italic"><b>Tri.por</b> Tricholoma portentosum</span>, <span class="html-italic"><b>Tub.con</b> Tubaria conspersa</span>, <span class="html-italic"><b>Tub.fur</b> Tubaria furfuracea</span>, <span class="html-italic"><b>Tul.bru</b> Tulostoma brumale</span>, <span class="html-italic"><b>Tul.kot</b> Tulostoma kotlabae</span>, <span class="html-italic"><b>Tul.mel</b> Tulostoma melanocyclum</span>, <span class="html-italic"><b>Tul.pal</b> Tulostoma pallidum</span>, <span class="html-italic"><b>Tul.squ</b> Tulostoma squamosum</span>, <span class="html-italic"><b>Xyl.hyp</b> Xylaria hypoxylon</span>. <b>OTHERS<span class="html-italic">: Aga.arv</span></b> <span class="html-italic">Agaricus arvensis</span>, <span class="html-italic"><b>Aga.bis</b></span> <span class="html-italic">Agaricus bisporus</span>, <span class="html-italic"><b>Ath.del</b></span> <span class="html-italic">Atheniella delectabilis</span>, <span class="html-italic"><b>Ath.fla</b></span> <span class="html-italic">Atheniella flavoalba</span>, <span class="html-italic"><b>Cal.gig</b></span> <span class="html-italic">Calvatia gigantea</span>, <span class="html-italic"><b>Chl.rha</b></span> <span class="html-italic">Chlorophyllum rhacodes</span>, <span class="html-italic"><b>Cli.dea</b></span> <span class="html-italic">Clitocybe dealbata</span>, <span class="html-italic"><b>Cop.fri</b></span> <span class="html-italic">Coprinopsis friesii</span>, <span class="html-italic"><b>Ent.con</b></span> <span class="html-italic">Entoloma conferendum</span>, <span class="html-italic"><b>Fla.ono</b></span> <span class="html-italic">Flammulina ononidis</span>, <span class="html-italic"><b>Hem.cuc</b></span> <span class="html-italic">Hemimycena cucullata</span>, <span class="html-italic"><b>Hym.her</b></span> <span class="html-italic">Hymenoscyphus herbarum</span>, <span class="html-italic"><b>Hym.rep</b></span> <span class="html-italic">Hymenoscyphus repandus</span>, <span class="html-italic"><b>Ino dul</b></span> <span class="html-italic">Inocybe dulcamara</span>, <span class="html-italic"><b>Lep.lus</b></span> <span class="html-italic">Lepista luscina</span>, <span class="html-italic"><b>Mac.rub</b></span> <span class="html-italic">Macrolepiota rubescens</span>, <span class="html-italic"><b>Myc.pse</b></span> <span class="html-italic">Mycena pseudopicta</span>, <span class="html-italic"><b>Orb.sar</b></span> <span class="html-italic">Orbilia sarraziniana</span>, <span class="html-italic"><b>Pan.foe</b></span> <span class="html-italic">Panaeolus foenisecii</span>.</p>
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14 pages, 979 KiB  
Article
Medicinal Plants in Semi-Natural Grasslands: Impact of Management
by Marika Kose, Indrek Melts and Katrin Heinsoo
Plants 2022, 11(3), 353; https://doi.org/10.3390/plants11030353 - 27 Jan 2022
Cited by 4 | Viewed by 3262
Abstract
Semi-natural grasslands (SNG) are valuable for their high biodiversity, cultural and landscape values. Quantitative information about medicinal plants (MP) in SNG facilitates the evaluation of ecosystem services of these habitats. Different literature sources were used to assess the ratio and frequency of MP [...] Read more.
Semi-natural grasslands (SNG) are valuable for their high biodiversity, cultural and landscape values. Quantitative information about medicinal plants (MP) in SNG facilitates the evaluation of ecosystem services of these habitats. Different literature sources were used to assess the ratio and frequency of MP species in several Estonian SNG and to evaluate the impact of management on these values. Lists of MP species according to different MP definition scenarios are available. The ratio of MP species in the local plant species list was the largest in alvars, followed by floodplain and wooded meadows. The average number of MP species in wooded meadows and alvars was about twice of that found in naturally growing broadleaved forest (according to the most detailed MP species list, 7.2, 7.8 and 4.3 plot−1, respectively). Fertilization of wooded meadows had no significant impact on MP species ratio, but decreased the percentage of MP biomass. Coastal meadows had few MP species and the impact of management quality depended on adopted MP scenarios. Comparison of Ellenberg indicator values revealed that MP species were more drought-tolerant, with higher commonness and more anthropophyte than the rest of studied grassland species. Full article
(This article belongs to the Special Issue Biodiversity in the Grassland Biome)
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Figure 1

Figure 1
<p>Percentage (<b>A</b>) and frequency (<b>B</b>) of MP species in Estonian habitat types according to different MP species scenarios.</p>
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<p>Percentage of MP species (<b>A</b>–<b>C</b>) and MP biomass (<b>D</b>–<b>F</b>) ratios in Laelatu wooded meadows during and after the fertilization experiment according to three different MP species scenarios. (<b>A</b>,<b>D</b>)—scenario 1; (<b>B</b>,<b>E</b>)—scenario 2; (<b>C</b>,<b>F</b>)—scenario 3. The vertical bars indicate standard error of average (n = 12).</p>
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<p>Percentage (<b>A</b>) and frequency (<b>B</b>) of MP species in plant species lists of coastal meadows with different management quality. Vertical bars indicate standard error of average (n = 3…6).</p>
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<p>Plant requirements and characteristics of MP species compared to the rest of SNG species according to PCA test. (<b>A</b>)—scenario 1; (<b>B</b>)—scenario 2; (<b>C</b>)—scenario 3.</p>
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