Estimating the species accumulation curve using mixtures.

Estimating the Saturated Hydraulic Conductivity of Granular Material, Using Artificial Neural Network, Based on Grain Size Distribution Curve

Theoretical derivation of a bias-reduced expression for the extrapolation of the species accumulation curve and the associated estimation of total species richness

Under-sampling becomes the current situation for an increasing part of biodiversity surveys, as more and more speciose assemblages and increasingly complex taxonomic groups are progressively addressed. Accordingly, (i) extrapolating the Species Accumulation Curve and (ii) estimating the total species richness of partially-sampled species assemblages (or taxonomicgroups) both become major issues...

Comparison of graphical and statistical methods in determining the number of sampling units in vegetation studies of desert ecosystems of South Khorasan

Background and objectives: Determining the minimum number of samples and the minimum parameters to be measured that provide acceptable results is one of the most basic decisions that rangeland scientists need to make. Methods for determining the number of samples in rangeland vegetation measurements are different. graphical methods and statistical characteristics are the most common methods by...

اثر تنش شوری بر برخی شاخص‌های رشد در سه گونه دارویی اسفرزه اواتا، پسیلیوم و بارهنگ کبیر

Growth indices are useful for interpreting plant reaction to environmental factor. Using Growing Degree Days (GDD) for estimating the phonological growth stages is more valid instead of calendar time. In order to study effect of salinity on growth analysis in three different plantago species, a greenhouse experiment was conducted in Vali-e-Asr University of Rafsanjan in 2009. The study was carr...

Dominant Association Species in Binary Mixtures of Methanol, Ethanol and Propanol in Nonpolar Solvents

The molecular associations in the binary mixtures of (methanol/solvent), (ethanol/solvent) and (propanol/solvent) were studied using NMR, FTIR and VLE data at different temperatures. The activity coefficients as the most important quantities representing the mixture deviation form ideal behavior were evaluated by using various association models to express the physical and chemical contribution...