Assessment of soil quality indices for salt-affected agricultural land in Kurdistan Province,Iran

Soil quality indices (SQIs) were an important tool for evaluating agro-ecosystems. Salinization and alkalization are major environmental problems that have threatened agricultural productivity since ancient times. The aim of this study is to assess soil quality in salt-affected agricultural land in Kurdistan Province, Iran, using three indices; the Additive Soil Quality Index (SQI_a), the Weighted Additive Soil Quality Index (SQI_w), and the Nemoro Soil Quality Index (SQI_n). Each of the soil quality indices were calculated using a Total Data Set (TDS) and a Minimum Data Set (MDS) approach. The TDS consisted of nine soil quality parameters measured on 150 samples (0–30 cm depth): pH, Electrical Conductivity (EC), Organic Carbon (OC), Cation Exchange Capacity (CEC), Carbonate Calcium Equivalent (CCE), Exchangeable Sodium Percentage (ESP), Sodium Adsorption Ratio (SAR), Mean Weight Diameter (MWD), and Bulk Density (BD). Principal components analysis (PCA) was used to determine which indicators were to be included in the MDS. Indicator Kriging (IK) highlighted areas with a high risk of exceeding critical threshold values of EC, ESP, and SAR and having low soil quality. In non-salt-affected areas soil quality and the risk of exceeding critical threshold values and having low soil quality were lower and higher, respectively, compared to salt-affected regions. The MDS method showed a decrease in the area and proportion of grades with high and very high quality (I and II) and an increase in grades with low and very low quality (IV and V) compared to the TDS. The results of linear correlation, match, and kappa statistic analysis showed that soil quality was better estimated using the SQI_w compared to the SQI_a and the SQI_n. In addition there were higher values of agreement (match and kappa statistic) for the TSD than MSD. However, using the SQI_w index and MDS method can adequately represent the TDS (R² = 0.82) and thus reduce the time and cost involved in evaluating soil quality.     

One‐inflation and unobserved heterogeneity in population size estimation by Ryan T. Godwin

In this study, we would like to show that the one‐inflated zero‐truncated negative binomial (OIZTNB) regression model can be easily implemented in R via built‐in functions when we use mean‐parameterization feature of negative binomial distribution to build OIZTNB regression model. From the practitioners' point of view, we believe that this approach presents a computationally convenient way for implementation of the OIZTNB regression model.     

Economic growth and environmental impacts: An analysis based on a composite index of environmental damage

The conflict between economic growth and the environment is complex and sharper today than ever before. Indeed, the relationship between economic growth and the sustainability of ecosystems has been extensively discussed in the literature, but the results remain controversial.This paper reviews the use of single and composite indicators of environmental damage and questions whether the Environmental Kuznets Curve (EKC) hypothesis sufficiently mirrors the relationship between economic growth and ecological damage. Ecological Indicators are relevant when they potentially inform society about ecological developments in a reliable way. We use the modified composite index of environmental performance (mCIEP) to measure environmental damage, and GDP per capita to represent economic growth. The econometric model is developed using panel data composed of 152 countries and a period of 6 years. The model is estimated for the full sample, for three different sets of countries, by level of development, and a decomposition analysis is carried out, which corresponds to the study of the CIEP individual dimensions.Our results reveal that, at present, the EKC hypothesis is not proved. We conclude that it is critical to be clear that economic growth alone is not enough to improve environmental quality. Therefore, creating a consistent, coherent and effective environmental policy framework is essential in order to improve environmental quality that supports wellbeing and enables long-term economic development.     

Analysis of data captured by an on-line image capture system from an analytical ultracentrifuge using schlieren optics

The recent development in this laboratory of an automated data capture system, for refractometric optics on the analytical ultracentrifuge has removed the requirement for tedious and time consuming manual acquisition which had led to a decline in the use of schlieren optics. At the same time this system has increased the amount of data easily available from such an optical system with maintained or increased precision. From the advent of such a system has arisen the need for a package to facilitate the analysis of these data and to extend the range of analytical methods used. Using the improved data sets now available has also enabled us to successfully use methods which have lapsed in popularity over the last two decades. We have also been able to successfully apply radial derivative methods (Bridgman 1942) which have not routinely been applied to the analysis of sedimentation velocity experiments using schlieren optics. In this paper we describe the methods we have so far used to analyse data and present results for previously well defined molecules to demonstrate that the results obtained are reliable. Received: 1 November 1996 / Accepted: 15 January 1997     

Climate and the evolution of skull metrics in man.

Two types of data, anthropometric and gene frequencies, may be used to reconstruct human evolution. Previous research, reconstructing the history of racial differentiation on the basis of gene frequencies, indicated that the major separation between human groups was that between Africans and Europeans on one side and peoples from Australia, East Asia and Americas on the other. A similar attempt by Howells ('73b), based on skull measurements in 17 ancient populations, in agreement with earlier anthropometric data, showed the major separation to be between Africans and Australians on one side and Europeans, Asians and Americans on the other. Climate could be a contributing factor to the observed differences in skull and anthropometric measurements. Howells' data showed high correlations with several climatic indicators. Carrying out the phylogenetic analysis after elimination by linear regression of the effects of climate has resolved to a great extent the discrepancy between anthropometric and gene frequency data.     

TEMPERATURE-DEPENDENT CHANGES IN COLONY SIZE OF THE FRESHWATER PENNATE DIATOM ASTERIONELLA FORMOSA (BACILLARIOPHYCEAE) AND THEIR POSSIBLE ECOLOGICAL IMPLICATIONS1

Changes in colony size (cell number per colony) of Asterionella Formosa Hass. were experimentally evaluated in relation to water temperature using two types of clones having colony sizes of four or eight cells. The clones were isolated from two different temperate freshwater lakes. Both clones showed the same general trend with changing temperature. Most of the colonies were normal in size at low temperatures, but colony size was twice as large at high temperatures. Variable colony sizes were present at low percentages. Colony separation occurred at the oldest connection within the colony after cell division. Culture experiments showed that the rates of specific growth and colony separation were balanced except for a rather short period of time when the temperature was changed. Optical and scanning electron micrography did not show any distinctive morphological structure at the point of connection except for porelli and mucilage pads. Seasonal changes in colony size of A. formosa observed in a freshwater lake are discussed based on these temperature results.