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This paper reports the morphological characters of 18 Iranian species of the genus Alchemilla using light and scanning electron microscopy. The pollen grains are monad, radially symmetrical, isopolar, or subisopolar; small to medium in size; triand tetracolporate; rectangular to cylindrical (from equatorial view) and triangular to circular (from polar view) in outline; and prolate-spheroidal to subprolate and prolate in shape. The exine ornamentation is psilate and microechinate. Based on the exine sculpturing and microechinate distribution pattern, three main types, four subtypes, and two categories of pollen grains were recognized. We used cluster analysis and principal component analysis to determine the potential contribution of pollen morphological characters to the species relationships. Our findings revealed the significance of palynological evidence in explaining the species relationship. The results of two multivariate analyses showed a close affinity among the seven studied species (A. amardica, A. sericata, A. fluminea, A. kurdica, A. hyrcana, A. sedelmeyeriana, and A. pesudocartalinica). [ABSTRACT FROM AUTHOR]

The study presented in this paper attempts to evaluate some interpolation techniques for mapping spatial distribution of soil pH. salinity and plant cover in Hormorgan province, Iran. The relationships among environmental factors and distribution of vegetation types were also investigated. Plot sampling was applied in the study area, Landform parameters of each plot were recorded and canopy cover percentages of each species were measured while stoniness and browsing damage were estimated. Results indicated that there was a significant difference in vegetation cover for high and low slope steepness. Also, vegetation cover was greater than other cases in the mountains with calcareous lithology. In general, there were no significant relationships among vegetation cover and soil properties such as pH, EC, and texture. Other soil properties, such as soil depth and gravel percentage were significantly affected by vegetation cover. Moreover, the geostatistical results showed that kriging and cokriging methods were better than inverse distance weighting (IDW) method for prediction of the spatial distribution of soil properties. Also, the results indicated that all the concerned soil and plane parameters were better determined by means of a cokriging method. Land elevation, which was highly correlated with studied parameters, was used as an auxiliary parameter. [ABSTRACT FROM AUTHOR]