Investigating Agricultural Management Practices and Environmental Sustainability in Jordan

Jordan, as other developing countries in the world, is struggled by instable agricultural development due to existing various water pressures (e.g. increase in irrigation demands, deterioration of water quality, industrial pollution, water borne sewerage, etc.), climate change impacts, and biophysical and socioeconomic barriers (e.g. rapid population growth, social unsettlements, sudden refuges and migrations, limited economic resources, low levels of technology, environmental limitations and stresses, and widespread poverty). One of the adaptive key issues for the Jordanian environmental sustainable development is the awareness of farmers on the water savings and environmental protections at farm level. The aim of this study was to present a descriptive analysis for the adopted conventional farming practices at the Jordan Valley and explore potential of adoption of new technologies in agricultural management coupled with sustainable environmental performances, as pursued by the project “Improving the Environmental Sustainability of Irrigated Agricultural Production in Lebanon and Jordan (ENSIAP)”. Twenty farmers were selected to represent the heterogeneity of the farming practices along the three zones (districts) of Jordan Valley: Northern, Middle, and Southern Jordan Valley. A detailed survey questionnaire was developed to investigate for the potential improvements in the conventional and the newly introduced farming practices to ensure the sustainability of all natural resources. The heterogeneity of the farmers\u27 knowledge, experience, and capabilities were determined in addition to various components of cropping/ farming practices. Seven themes were emphasized in this study including (1) Farm characteristics, (2) Soil description and management, (3) Crop characteristics and management, (4) Water Irrigation parameters, (5) Cultivation and fertilizer use, (6) Environmental related issues, and (7) Farmer experience. Results indicated that most of the farmers are not fully aware with environmental sustainability issues. The irrigation systems, fertilizer use, and management practices currently in use are not resource-conservative and do not follow Best Agricultural and Management Practices, leading to high soil and groundwater degradation and pollution

Influence of Molecular Weight and Degree of Deacetylation of Low Molecular Weight Chitosan on the Bioactivity of Oral Insulin Preparations

The objective of the present study was to prepare and characterize low molecular weight chitosan (LMWC) with different molecular weight and degrees of deacetylation (DDA) and to optimize their use in oral insulin nano delivery systems. Water in oil nanosized systems containing LMWC-insulin polyelectrolyte complexes were constructed and their ability to reduce blood glucose was assessed in vivo on diabetic rats. Upon acid depolymerization and testing by viscosity method, three molecular weights of LMWC namely, 1.3, 13 and 18 kDa were obtained. As for the DDA, three LMWCs of 55%, 80% and 100% DDA were prepared and characterized by spectroscopic methods for each molecular weight. The obtained LMWCs showed different morphological and in silico patterns. Following complexation of LMWCs with insulin, different aggregation sizes were obtained. Moreover, the in vivo tested formulations showed different activities of blood glucose reduction. The highest glucose reduction was achieved with 1.3 kDa LMWC of 55% DDA. The current study emphasizes the importance of optimizing the molecular weight along with the DDA of the incorporated LMWC in oral insulin delivery preparations in order to ensure the highest performance of such delivery systems

Bioadhesive Controlled Metronidazole Release Matrix Based on Chitosan and Xanthan Gum

Metronidazole, a common antibacterial drug, was incorporated into a hydrophilic polymer matrix composed of chitosan xanthan gum mixture. Hydrogel formation of this binary chitosan-xanthan gum combination was tested for its ability to control the release of metronidazole as a drug model. This preparation (MZ-CR) was characterized by in vitro, ex vivo bioadhesion and in vivo bioavailability study. For comparison purposes a commercial extended release formulation of metronidazole (CMZ) was used as a reference. The in vitro drug-release profiles of metronidazole preparation and CMZ were similar in 0.1 M HCl and phosphate buffer pH 6.8. Moreover, metronidazole preparation and CMZ showed a similar detachment force to sheep stomach mucosa, while the bioadhesion of the metronidazole preparation was higher three times than CMZ to sheep duodenum. The results of in vivo study indicated that the absorption of metronidazole from the preparation was faster than that of CMZ. Also, MZ-CR leads to higher metronidazole Cmax and AUC relative to that of the CMZ. This increase in bioavailability might be explained by the bioadhesion of the preparation at the upper part of the small intestine that could result in an increase in the overall intestinal transit time. As a conclusion, formulating chitosan-xanthan gum mixture as a hydrophilic polymer matrix resulted in a superior pharmacokinetic parameters translated by better rate and extent of absorption of metronidazole

Analyzing the relationship between urbanization, food supply and demand, and irrigation requirements in Jordan

The landscape surrounding urban areas is often used as farmland. With the observed expansion of urban areas over the last decades and a projected continuation of this trend, our objective was to analyze how urbanization affects food supply and demand in The Hashemite Kingdom of Jordan. We used a chain of simulation models covering components of the atmosphere (climate simulations), biosphere (crop yield calculations), and anthroposphere (simulations of urban expansion and land-use change) to calculate the effect of farmland displacement on land and water resources (hydrosphere). Our simulations show that the displacement of farmland itself has hardly any effect on cropland demand, crop yields, or irrigation water requirements. These results indicate that Jordan has sufficient productive areas available to buffer effects of urban expansion on food production for the next decades. However, this picture changes dramatically once we include changes in socioeconomy and climate in our simulations. The isolated effect of climate change results in an expected increase in irrigation water requirements of 19 MCM by 2025 and 64 MCM by 2050. It furthermore leads to an increase in cropland area of 147 km2 by 2025 and 265 km2 by 2050. While the combined analysis of urban expansion, climate change, and socioeconomic change makes optimistic assumptions on the increase in crop yields by 2050, the results still indicate a pronounced effect on cropland demands (2700 km2) and a steep increase in irrigation water requirements (439 MCM). Our simulation results highlight the importance of high resolution, spatially explicit projections of future land changes as well as the importance of spatiotemporal scenario studies at the regional level to help improving water planning strategies.The research presented in this manuscript was funded by the German Federal Ministry of Education and Research [contract 01LW0502]. We would like to thank our colleagues from IMK-559 IFU for providing the climate data without which this study would not have been possible. The authors thank the anonymous reviewers for their constructive comments that helped improve the quality of this manuscript.YesThis journal operates a single blind review process. All contributions will be initially assessed by the editor for suitability for the journal. Papers deemed suitable are then typically sent to a minimum of two independent expert reviewers to assess the scientific quality of the paper. The Editor is responsible for the final decision regarding acceptance or rejection of articles. The Editor's decision is final

An Investigation into the Spatial and Temporal Variability of the Meteorological Drought in Jordan

Following the impact of droughts witnessed during the last decade there is an urgent need to develop a drought management strategy, policy framework, and action plan for Jordan. This study aims to provide a historical baseline using the standardized precipitation index (SPI) and meteorological drought maps, and to investigate the spatial and temporal trends using long-term historical precipitation records. Specifically, this study is based on the statistical analysis of 38 years of monthly rainfall data, gathered from all 29 meteorological stations that cover Jordan. The Mann–Kendall test and linear regression analysis were used to uncover evidence of long-term trends in precipitation. Drought indices were used for calculating the meteorological SPI on an annual (SPI12), 6-months (SPI6), and 3-months basis (SPI3). At each level, every drought event was characterized according to its duration, interval, and intensity. Then, drought maps were generated using interpolation kriging to investigate the spatial extent of drought events, while drought patterns were temporally characterized using multilinear regression and spatial grouped using the hierarchical clustering technique. Both annual and monthly trend analyses and the Mann–Kendall test indicated significant reduction of precipitation in time for all weather stations except for Madaba. The rate of decrease is estimated at approximately 1.8 mm/year for the whole country. The spatial SPI krig maps that were generated suggest the presence of two drought types in the spatial dimension: Local and national. Local droughts reveal no actual observed trends or repeatable patterns of occurrence. However, looking at meteorological droughts across all time scales indicated that Jordan is facing an increasing number of local droughts. With a probability of occurrence of once every two years to three years. On the other hand, extreme national droughts occur once every 15 to 20 years and last for two or more consecutive years. Linear trends indicated significant increase in drought magnitude by time with a rate of 0.02 (p < 0.0001). Regression analysis indicated that draught in Jordan is time dependent (p < 0.001) rather than being spatially dependent (p > 0.99). Hierarchical clustering was able to group national draughts into three zones, namely the northern zone, the eastern zone, and the southern zone. This study highlights the urgent need for a monitoring program to investigate local and national drought impacts on all sectors, as well as the development of a set of proactive risk management measures and preparedness plans for various physiographic regions

Estimating spatial variations in soil organic carbon using satellite hyperspectral data and map algebra

This study evaluated the effectiveness of using Hyperion hyperspectral data in improving existing remote-sensing methodologies for estimating soil organic carbon (SOC) content on farmland. The study area is Big Creek Watershed in Southern Illinois, USA. Several data-mining techniques were tested to calibrate and validate models that could be used for predicting SOC content using Hyperion bands as predictors. A combined model of stepwise regression followed by a five hidden nodes artificial neural network was selected as the best model, with a calibration coefficient of determination (R 2) of 78.9% and a root mean square error (RMSE) of 3.3 tonnes per hectare (t ha−1). The validation RMSE, however, was found to be 11.3 t ha−1. Map algebra was implemented to extrapolate this model and produce a SOC map for the watershed. Hyperspectral data improved marginally the predictability of SOC compared to multispectral data under natural field conditions. They could not capture small annual variations in SOC, but could measure decadal variations with moderate error. Satellite-based hyperspectral data combined with map algebra can measure total SOC pools in various ecosystem or soil types to within a few per cent error