Showing 7 results for Tabari
H. Yosef-Zadeh, K. Spahbodi, M. Tabari, Gh. Jalali,
Volume 11, Issue 40 (summer 2007)
Abstract
In this investigation, the effect of seed source on the germination and survival of Acer velutinum Boiss. was assessed. Seeds were collected from 11 seed sources ( located at 20 to 2200 meter a.s.l in Mazandaran forests) and planted in a mountain nursery (Orimelk located at 1550 meter a.s.l) as completely randomized block design with three replications. The results show that the effect of seed source on germination and survival was statistically significant (p<0.01). Germination and survival rates were lower for the Pasands, Ashak and Deis sources, and the maximum seed germination was related to Lamzer site. Effect of seed sources on survival of seedling was significant too. The maximum and minimum survival was related to Lajim and Ashak, respectively. Regarding plan table seedling, the effect of seed source was significant. The maximum efficiency of seedlings has been found in Lajim, Lamzer, Parke Noor and Sangdeh sites, while the minimum range of efficiency was related to Ashak and Pasand2.
S. E. Sadati, S. F. Emadian, H. Jalilvand, J. Mokhtari, M. Tabari,
Volume 11, Issue 41 (fall 2007)
Abstract
The present research was conducted to find the influence of some topographic factors on distribution of large-leaved lime (Tilia platyphyllos Scop.) and its natural regeneration characteristics in "Vaz" forest (northern Iran). After identification of site and preparation of topography map, selective sampling method was carried out for tree inventory in plots. The sample plots were circular in 1000-m2 areas with at least 2-3 dominant lime trees in each. In the plots, altitude, slope gradient, direction, forest storey, tree type and natural regeneration were investigated. Results indicate that in this habitat the average diameter at breast height and height of Tilia platyphyllos is 36.9 cm and 23 m, respectively. Tilia platyphyllos prefers 1200-1400 m altitude, 75-100% slope gradient and northeastern to eastern directions and benefits from denser trees in these environments. It consists of some tree types together with Fagus orientalis, Carpinus betulus and Parrotia persica, whereas the dominant type is Tilia platyphyllos-Fagus orientalis. In most of tree types, lime occurs in the upperstorey. Natural regeneration of lime is often observed as sprout (coppice shoot).
A. Goleij, H. Jalilvand, M. R. Pormajidian, M. Tabari, K. Mohammadi Samani,
Volume 11, Issue 41 (fall 2007)
Abstract
In order to investigate the success of natural regeneration and to determine the best area for regeneration settlement, 12 gaps with the areas ranging from 50-100, 150-300, and 400-600 m2 and 4 replicates equal elevation level were selected. For measuring frequency, height, and collar diameter of regenerated seedlings, a certain number of 2 m2 subplots were carried out inside the gaps, along the bigger diameter, and related to each gap’s area. Results showed that the number of seedling varies from 5 (in big gaps) up to 28 (in small and moderate gaps) per square meter. Furthermore, there was not a significant difference between the number of seedlings in small and moderate gaps. In contrast, the number of seedlings in small and moderate gaps was significantly different from those in large gaps (at 1% Probability). This finding demonstrates that natural regeneration would be limited in large gaps (400-600 m2) but it shows a better result in smaller gaps, associated with single- tree harvests. The final result of this study shows that the most appropriate area for selective cuting in such an area is up to at most 300 m2.
H. Yosef-Zadeh, M. Tabari, K. Spahbodi, Gh. Jalali,
Volume 12, Issue 44 (summer 2008)
Abstract
In order to predict Caucasian maple (Acer velutinum Boiss. ) seedling growth based on nursery Orimel, Eighty six one year old seedlings located at 1550 meters above sea level in Sari, north of Iran were randomly selected. Collar diameter, height, leaf area, photosynthesis area and leaf area/leaf weight ratio were determined. Then multivariate regression models between leaf characteristics and growth characteristic were drawn. The results indicated that number of leaves and photosynthesis area can estimate the height growth of a seedling. Also, mentioned characteristics of leaf can estimate the biomass of stem as a well as growth characteristics. According to the correlation between growth characteristics and leaf characteristics, it would be concluded that the photosynthesis area of leaf can be suitable for early selection of seedling for reforestation. Also, this result shows the importance of increasing the establishment and growth of maple seedlings in plantation areas.
F Ahmadloo, M Tabari, A Rahmani, H Yosefzadeh,
Volume 13, Issue 48 (7-2009)
Abstract
This research was carried out to improve the growth and performance of Arizona cypress (Cupressus arizonica) and Medite cypress (C. sempervirens var. horizantalis) seedlings in different combinations of organic matter in nursery of Koloudeh, located in Amol city (north of Iran). Seeds in plastic pots were sown as a completely randomized design (RCD) with four replications at different soil treatments including: T1) nursery soil (control), T2) control soil: cattle manure (5:1), T3) control soil: decomposited litter (5:1), T4) control soil: cattle manure: decomposited litter (5:1:1). The results after one year showed that the seedlings of both species grown on T4 obtained the greatest shoot height, collar diameter, seedling Vigor Index, shoot dry weight, root dry weight, total dry weight and seedling Quality Index (QI) among all the soils examined. The response of most attributes to soil was better in Cupressus arizonica than in C. sempervirens. It is concluded that organic matter caused the increase of growth and biomass of seedlings in both species. It can be proposed that in order to enhance the performance and improvement of Quality Index of seedlings in nurseries, the status of physico-chemical of soil-media should be seriously evaluated.
H Tabari, S Marofi, H Zare Abiane, R Amiri Chayjan, M Sharifi, A.m Akhondali,
Volume 13, Issue 50 (winter 2010)
Abstract
In mountainous basins, snow water equivalent is usually used to evaluate water resources related to snow. In this research, based on the observed data, the snow depth and its water equivalent was studied through application of non-linear regression, artificial neural network as well as optimization of network's parameters with genetic algorithm. To this end, the estimated values by artificial neural network, neural network-genetic algorithm combined method and regression method were compared with the observed data. The field measurement were carried out in the Samsami basin in February 2006. Correlation coefficient (r) mean square error (MSE) and mean absolute error (MAE) were used to evaluate efficiency of the various models of artificial neural networks and nonlinear regression models. The results showed that artificial neural network and genetic algorithm combined methods were suitable to estimate snow water equivalent. In general, among the methods used, neural network-genetic algorithm combined method presented the best result (r= 0.84, MSE= 0.041 and MAE= 0.051). Of the parameters considered, elevation from sea level is the most important and effective to estimate snow water equivalent.
A.a Sabziparvar, H Tabari, A Aeini,
Volume 14, Issue 52 (sumer 2010)
Abstract
Soil temperature is one of the important variables in hydrology, agriculture, meteorology and climatology studies. Owing to the fact that soil temperature is only measured at synoptic stations, reconstruction of this variable in other places is of great importance for many relevant agricultural surveys. Using 10-year (1996-2005) daily meteorological observations, including: air temperature, global solar radiation, precipitation, relative humidity, vapor pressure, wind speed and air pressure data, different empirical relationships are suggested. At statistically significant level (P<0.05), the suggested regressions are reliable for estimating soil temperature in various depths (5, 10, 20, 30, 50 and 100 cm) and different climate types. Using soil temperature as the dependent variable and the other meteorological parameters as the independent variables, the multivariable relationships are classified accordingly. The results indicate that the impact of meteorological parameters on soil temperature is not the same. At statistically significant level (P<0.05), the mean daily air temperature presented the highest correlation coefficients with soil temperature for all climate types (on average, from R2>0.91 for warm semi-arid, to R2>0.85 for humid climates). Other results highlighted that the correlation coefficients decreased as the soil depth increased. The behavior of statistical validation criteria of the suggested relations are also discussed for all the mentioned climates.
