Abstract:The present study aims to inventory and analyse the ethnobotanical knowledge about medicinal plants in the Serra de Mariola Natural Park. In respect to traditional uses, 93 species reported by local informants were therapeutic, 27 food, 4 natural dyes and 13 handcrafts. We developed a methodology that allowed the location of individuals or vegetation communities with a specific popular use. We prepared a geographic information system (GIS) that included gender, family, scientific nomenclature and common names … Show more
“…In the European herbal medicine this plant was used as an infusion for the treatment of whooping cough, as well as in the treatment of kidney and urinary tract inflammations (Medbouhi et al, 2018). In Eastern European TM field eryngo roots and leaves are used for their anti-inflammatory, antiscorbutic, diaphoretic, antitussive, diuretic, expectorant, appetitestimulant, and aphrodisiac properties, and to treat hemorrhoids, rheumatism, and infertility (Küpeli et al, 2006;Belda et al, 2013;Güneşet al, 2014;Conea et al, 2015;Kikowska et al, 2016;Soumia, 2018). In Turkey is used to treat intestinal disorders, flatulence, hepatitis, digestion disorders, and muscle pain (Akgul et al, 2018) but is also used fresh for human consumption (Demirci and Özkan, 2014).…”
Section: Phytochemical Constituents and Ethnomedicinal Uses Of The Mementioning
The cross-compliance mechanism of the European Union (EU)'s common agricultural policy (CAP) makes the approval of the direct payments to the European farmers subject to compliance with the requirement to maintain the land in good agricultural and environmental condition. One of the obligations of the Romanian land owners and farmers is to avoid the installation of unwanted vegetation on their land plots. This vegetation is represented by some species of herbaceous or woody plants, annual or perennial, that spontaneously invade the agricultural lands, diminishing the production capacity of the cultivated plants. Included in this category are 10 meadow weeds, without fodder value or even toxic to animals: Arctium lappa L., Carduus nutans L., Conium maculatum L., Eryngium campestre L., Euphorbia cyparissias L., Pteridium aquilinum (L.) Kuhn, Rumex acetosella L., Veratrum album L., Xanthium spinosum L., and Xanthium strumarium L. Various and multiple uses in traditional medicine of these meadow weed species have been reported for Romania and other nine neighboring East European countries, i.e.
“…In the European herbal medicine this plant was used as an infusion for the treatment of whooping cough, as well as in the treatment of kidney and urinary tract inflammations (Medbouhi et al, 2018). In Eastern European TM field eryngo roots and leaves are used for their anti-inflammatory, antiscorbutic, diaphoretic, antitussive, diuretic, expectorant, appetitestimulant, and aphrodisiac properties, and to treat hemorrhoids, rheumatism, and infertility (Küpeli et al, 2006;Belda et al, 2013;Güneşet al, 2014;Conea et al, 2015;Kikowska et al, 2016;Soumia, 2018). In Turkey is used to treat intestinal disorders, flatulence, hepatitis, digestion disorders, and muscle pain (Akgul et al, 2018) but is also used fresh for human consumption (Demirci and Özkan, 2014).…”
Section: Phytochemical Constituents and Ethnomedicinal Uses Of The Mementioning
The cross-compliance mechanism of the European Union (EU)'s common agricultural policy (CAP) makes the approval of the direct payments to the European farmers subject to compliance with the requirement to maintain the land in good agricultural and environmental condition. One of the obligations of the Romanian land owners and farmers is to avoid the installation of unwanted vegetation on their land plots. This vegetation is represented by some species of herbaceous or woody plants, annual or perennial, that spontaneously invade the agricultural lands, diminishing the production capacity of the cultivated plants. Included in this category are 10 meadow weeds, without fodder value or even toxic to animals: Arctium lappa L., Carduus nutans L., Conium maculatum L., Eryngium campestre L., Euphorbia cyparissias L., Pteridium aquilinum (L.) Kuhn, Rumex acetosella L., Veratrum album L., Xanthium spinosum L., and Xanthium strumarium L. Various and multiple uses in traditional medicine of these meadow weed species have been reported for Romania and other nine neighboring East European countries, i.e.
“…Natural land cover predominates (67 %), followed by some areas with rain-fed crops (24 %), residential areas (5 %), abandoned crops (3 %), and irrigated crops (1 %) (Belda et al 2016). Finally, this natural park also holds great biodiversity in plants and animals, highlighting a large variety of carnivorous mammals, ungulates, and game species (Belda et al 2012). In order to better understand the sustainability of this semi-natural environment, we have been observing and analyzing its composition for almost one decade.…”
Camera trap applications range from studying wildlife habits to detecting rare species, which are difficult to capture by more traditional techniques. In this work, we aimed at finding the best model to predict the distribution pattern of wildlife and to explain the relationship between environmental conditions with the species detected by camera traps. We applied two types of statistical models in a specific Mediterranean landscape case. The results of both models shown adjustments over 80 %. First, we ran a Principal Components Analysis (PCA). Discriminant, and logistic analyses were performed for ungulates in general, and three species in particular: Barbary sheep, mouflon, and wild boar. The same environmental conditions explained the presence of these species in all the proposed models. Hence, we proved the generally positive influence of patch size on the presence of ungulates and negative influence of the fractal dimension and density edge. We quantified the relationships between a suite of landscape metrics measured in different grids to test whether spatial heterogeneity plays a major role in determining the distribution of ungulates. We explained much of the variation in distribution with metrics, specifically related to habitat heterogeneity. That outcome highlighted the potential importance of spatial heterogeneity in determining the distribution of large herbivores. We discussed our results in the forestry conservation practices context and discuss potential ways to integrate ungulate management and forestry practices better.
“…The inventories were not carried out within an institution, except in the work of Jimoh et al [17] in the University of Agriculture Campus, Makurdi, Nigeria. The mapping of ethno-medicinal trees with the use of geo-information technologies such as GIS in natural forest and agro-ecosystem was carried out in Pakistan and Spain [18,19], but such work is rare, especially in institutionalbased environment, such as universities, research Institutes and teaching hospitals globally. This study therefore focused on mapping and assessing the ethno-medicinal trees within the University Park of the University of Port-Harcourt with a view to examining their spatial variation in terms of composition and diversity between the residential and non-residential areas of the Park.…”
Background and Purpose: Several urban tree species are important in ethno-medicine, especially in the developing tropical regions. Their assessment in urban landscapes is becoming an important issue. The study assessed and mapped the ethno-medicinal trees in the built up area land use type of the University of Port Harcourt, Nigeria, with a view to examining their spatial variation in terms of composition and diversity between the residential and non-residential areas of the University Park. Materials and Methods: The study employed the use of geographic information system (ArcGIS 9.3) for the mapping. Built up area land use was subdivided into residential and non-residential where the ethno-medicinal trees were recorded, identified and enumerated. Global positioning system was used to determine the coordinates of each tree. The species composition and diversity were calculated and a comparison was made between the residential and non-residential land use types. The pattern of spread of the ethno-medicinal trees was determined by the nearest neighbour analysis. Results: A total of 37 ethno-medicinal trees species were found in the study area, while the species composition was 499 in the residential area and 438 in the non-residential area. Azadirachta indica was the highest (233) in composition. Ethno-medicinal tree species in the study area consist of 19 families of which Anacardiaceae, Rutaceae, Moraceae and Combretaceae were the highest. Species diversity was higher in the non-residential land use (2.698) than in the residential land use (2.222). Conclusion: The nearest neighbour analysis reveals that the z-score value was higher in the nonresidential area (-23.06) than in the residential area (-0.30), but the pattern of distribution in both areas were clustered. The study recommended periodic monitoring and the assessment of ethnomedicinal trees in the study area for conservation purposes.
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