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Genetic variability and differentiation of six populations of Tilia rubra from Hyrcanian forests of the north of Iran were analyzed using random amplified polymorphic DNA (RAPD) markers. Seven primers pairs used to study six populations, in six localities located in at different altitude (250–2500 m a.s.l) but within the distance 50 km, provided 70 reliable bands, of which 29 (41.4%) were polymorphic. The average population diversity using the Shannon’s index (I) was 0.22 and ranged from 0.22 for Bandbon population to 0.08 for the Salahedinkola population. The mean heterozygosity varied from 0.013 to 0.06 within the populations of T. rubra. The AMOVA analysis showed a significant genetic differentiation within populations and 97% of the total variation occurred within populations and only 3% occurred among populations. Cluster analysis using the UPGMA method grouped all individuals into four clusters. The results did not correspond with the populations origin. The low inter-population differentiation and the lack of significant correlation between geographic and genetic distances suggest intensive gene flow among populations of Tilia rubra.
The fat dormouse (Glis glis L.) is a small arboreal and extreme habitat specialist mammal that is tightly linked to the deciduous mixed forests dominated by Beech (Fagus orientalis) and oaks (Quercus sp.). Despite its status in Iran as a least concern species, dormice face high risk of extinction in some parts of Europe. The unique life history and large scale distribution of the species in the Palearctic region made it as an ideal model species. This habitat specialist rodent is particularly sensitive to size and connectivity of the forest patches. The fat dormouse shows very deep molecular and morphological divergence in its eastern most parts of its global distribution, in the Hyrcanian refugium of the Northern Iran. Therefore modeling its distributional range can leads to identify biodiversity hotspots and planning conservation activities. The meteorological data, land cover types, topographical variables and geo-referenced points representing geographical locations of the fat dormouse populations (latitude/longitude) in the study area were used as the primary MaxEnt model input data. The predictive accuracy of the Fat Dormouse ecological niche model was significant (training accuracy of 93.3%). This approach successfully identified the areas of the fat dormouse presence across the study area. The result suggests that the maximum entropy modeling approach can be implemented in the next step towards the development of new tools for monitoring the habitat fragmentation and identifying biodiversity hotspots.
In recent years, brown bear Ursus arctos populations in Iran have experienced a clear trend of reduction and the species is now officially listed as threatened under provincial legislation. Anthropogenic habitat alteration and increasing human access to previously remote landscapes are potential source of stress for this species in Iran. Therefore, land cover changes in the Chelcheli protected area were mapped for 1991–2013 using time sequential Landsat TM and ETM at 30 meters resolution. Moreover, Maximum entropy (MaxEnt) modeling was used to investigate habitat selection of brown bear. The results showed that suitable patches overlapped with forest areas (Hyrcanian forest) and rivers. Our results also indicate that the brown bear habitat suitability is negatively influenced by human disturbance (e.g., roads, settlements). Increased human disturbance in brown bear habitat in recent decades may cause bears to avoid the disturbed areas. Therefore, the management plans should focus on reducing the human infrastructures around brown bear habitat. A suggestion is to place the core secure areas for brown bear inside the suitable habitat close to rivers where the human access is restricted. Promoting awareness of biodiversity conservation among tourism should also be one of the major focuses of management plans.
For native species, mixed plantation systems seem to be the most appropriate for providing a broader range of options such as production, protection, biodiversity conservation and restoration. After 11 years, growth and nutrition and soil properties were examined in young plantation of two indigenous tree species in Hyrcanian forests of Iran. Quercus castaneifolia C.A. Mey. (as target species) and Celtis australis L. (as native component species) were planted in five proportions (100Q, 70Q:30C, 60Q:40C, 50Q:50C, 40Q:60C) in Noor, Iran. Diameter at breast height of individual Quercus trees and total basal area were affected by the presence of Celtis. Percent retranslocation of nutrients in Quercus followed in order: K> P> N. Leaf-litter fall production ranged from 4.10 to 6.14 t ha⁻¹ year⁻¹. Ca and Mg concentrations in fully expanded leaves of Quercus, N and K retranslocation of Quercus, concentration of available P in soil were higher in some of the mixed plantations than in monoculture of Quercus. On the other hand, N concentration in fully expanded leaves of Quercus, N fluxes and soil C/N ratio were higher in monoculture of Quercus. Within the framework of this experiment, it appeared that production was maximized when these two species were grown together in the proportion of 60% Quercus and 40% Celtis.
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