Arid Lands Research Articles

Combined Effect of Subsurface Water Retention Technology and Arbuscular Mycorrhizal Fungi on Growth, Physiology and Biochemistry of Argan Seedlings under Field Conditions.

The argan (Argania spinosa L. Skeels) ecosystem is severely degrading in arid and semi-arid lands due to climate change, particularly in terms of density loss and reforestation failure. Thus, it is important to adopt innovative effective sustainable practices to optimize the densification and reforestation success of the argan tree. The purpose of the present research was to investigate the combined effect of subsurface water retention technology (SWRT) and the use of native arbuscular mycorrhizal fungi (AMF) on edaphic, growth, physiological and biochemical parameters of field-grown argan seedlings in the Essaouira region, Morocco. In this experiment, one-year-old argan seedlings were transplanted in the absence and presence of biodegradable plastic and AMF. Our findings revealed that the application of SWRT enhanced soil profile moisture up to 640% at 40 cm depth compared to the control. The combination of this technology with AMF also improved soil fertility. Furthermore, the application of SWRT, with or without AMF, significantly enhanced argan seedling height (208 and 168%, respectively), stomatal conductance (54 and 33%, respectively), and chlorophyll fluorescence (21 and 20%, respectively). Similarly, the combined application of SWRT and AMF significantly improved protein and sugar content (36 and 57%, respectively), as well as antioxidant enzyme activities (peroxidase and polyphenol oxidase) and chlorophyll pigments content compared to the control. However, this treatment reduced malondialdehyde and H2O2 content in the argan leaves. As a summary, SWRT technology combined with AMF may be used as a valuable strategy to promote the success of argan reforestation and to limit soil erosion and desertification in arid and semi-arid climates.

Nomadic Education Policy's Effectiveness in Enhancing Access to Primary Schools by Learners in Balambala Sub-County, Garissa County, Kenya

Primary schools in Kenya play a vital role in providing a strong foundation for education by imparting fundamental skills like reading, writing, and communication. Unfortunately, low access, retention, and completion rates have contributed to high levels of illiteracy in the country, according to the Republic of Kenya (2019). The purpose of the study was to investigate nomadic education policy's effectiveness in enhancing access to primary schools by learners in Balambala sub-county, Garissa County, Kenya. The design used in the investigation was descriptive. The target population was 33 public primary schools in Balambala Sub-County. The specific respondents were the 199 Sub-County Director of Education, Sub-County Director of TSC, Headteachers, teachers, Student Council representatives, and the Board of Management of Primary Schools. The data collection was achieved by utilizing questionnaires and interview guides. The researcher issued questionnaires and sufficient time was provided to allow them to respond to the instruments accurately. Quantitative data was analyzed using descriptive statistics including frequencies, mean, and standard deviation, and inferential statistics like single regression. Qualitative data was analyzed thematically as per the research objectives. A pilot study was conducted with 40 participants from ASAL Primary schools in Dadaab Sub County. Data was presented using tables, figures, and charts. The findings revealed a strong positive correlation (r = 0.750, p < 0.001) between the implementation of the nomadic education policy and access to education. Notably, the study revealed positive perceptions regarding the effectiveness of nomadic education policies, particularly in improving access and retention rates in schools. The study recommends that a longitudinal study should be conducted to assess the long-term impact of education policies and integrated solutions on access and retention rates in primary schools in Arid and Semi-Arid Land (ASAL) regions.

A new approach to dust source mapping using visual interpretation and object-oriented segmentation of satellite imagery

The emission of dust particles, mainly from arid and semi-arid lands, as a result of climate change and human activities, is known to be a global issue. Identifying dust emission sources is the first key step in dealing with the hazardous consequences of this rising phenomenon. This study is an attempt to address one of the major challenges in mapping dust emission sources. Accordingly, an innovative approach based on visual interpretation of multi-temporal MODIS-Terra/Aqua imagery and object-oriented image segmentation techniques has been developed and implemented in the study areas of the Tigris and Euphrates basin and eastern Iran. This approach takes advantage of land surface characteristics (i.e., dust drivers), including geomorphology, soil, land use/cover, and land surface radiation, to attribute dust emission hotspots to their corresponding areas using multi-source remote sensing data. The results show that the multi-resolution segmentation algorithm with optimized parameters can identify homogeneous segments corresponding to dust emission sources in the study areas with an average spatial agreement of ∼92% compared to the reference areas. Our findings emphasize the robustness and generalizability of the proposed approach, and its capabilities can be used in a complementary way with visual interpretation of satellite images to map dust sources with high spatial accuracy.

Sustainable Strategy to Boost Legume Growth under Salinity and Drought Stress in Semi-Arid and Arid Regions

The escalating risks of drought and salinization due to climate change and anthropogenic activities are a major global concern. Rhizobium–legume (herb or tree) symbiosis is proposed as an ideal solution for improving soil fertility and rehabilitating arid lands, representing a crucial direction for future research. Consequently, several studies have focused on enhancing legume tolerance to drought and salinity stresses using various techniques, including molecular-based approaches. These methods, however, are costly, time-consuming, and cause some environmental issues. The multiplicity of beneficial effects of soil microorganisms, particularly plant growth-promoting bacteria (PGPB) or plant-associated microbiomes, can play a crucial role in enhancing legume performance and productivity under harsh environmental conditions in arid zones. PGPB can act directly or indirectly through advanced mechanisms to increase plant water uptake, reduce ion toxicity, and induce plant resilience to osmotic and oxidative stress. For example, rhizobia in symbiosis with legumes can enhance legume growth not only by fixing nitrogen but also by solubilizing phosphates and producing phytohormones, among other mechanisms. This underscores the need to further strengthen research and its application in modern agriculture. In this review, we provide a comprehensive description of the challenges faced by nitrogen-fixing leguminous plants in arid and semi-arid environments, particularly drought and salinity. We highlight the potential benefits of legume–rhizobium symbiosis combined with other PGPB to establish more sustainable agricultural practices in these regions using legume–rhizobium–PGPB partnerships.

Irrigation Water Quality Assessment in Egyptian Arid Lands, Utilizing Irrigation Water Quality Index and Geo-Spatial Techniques

This study focused on assessing surface water quality in the northwest part of the Egyptian Nile Delta (El-Menoufia Governorate) and evaluated water suitability for irrigation purposes using the Irrigation Water Quality Index (IWQI), Permeability Index (PI), Wilcox, United State Salinity (USSL) diagram, and Piper trilinear diagrams categories, taking into consideration various water quality parameters. The results showed that, based on the IWQI, most of the water samples (61.8%) in the investigated area fell under the no restriction water (NR) category. Furthermore, the Wilcox diagram demonstrated that most of the investigated water samples (93.6%) are categorized as doubtful water; this shows that those samples have a higher sodium content material. According to the USSL diagram, most of the water samples (70.9%) fell into the high salinity (C) and moderate sodium (S) content (C3S2) class. According to the PI index, 8.2% of the tested water samples fell into class II (suitable for irrigation) and 91.8% fell into class III (unsuitable for irrigation). Based on the Piper trilinear, the water type is Na-Cl-HCO3. According to these results, most of the water samples require more water regulations, are categorized as doubtful water that causes plants’ augmentation sensitivity if used for irrigation, and fell into the high salinity (EC) and sodium absorption ratio (SAR) magnitude, which might have negative outcomes on soil and plant health if used for irrigation, have extensive obstacles, and are improper for irrigation. Therefore, proper management practices and treatments may be vital to mitigate the adverse effects of salinity and SAR on soil and plant health in this study area. Therefore, addressing water deficiency and quality in Egypt’s northwest Nile delta is crucial for suitable irrigation purposes.

Yield and Agronomic Performance of Sweet Corn in Response to Inoculation with Azospirillum sp. under Arid Land Conditions

Yield and Agronomic Performance of Sweet Corn in Response to Inoculation with Azospirillum sp. under Arid Land Conditions

Agent-Based Modeling for Household Decision-Making in Adoption of Private Flood Mitigation Measures: The Upper Kan Catchment Case Study

Residential areas in developing arid and semi-arid countries are highly vulnerable to flooding, and water shortages have forced their inhabitants to live close to rivers. While climate change is expected to cause more extreme weather conditions in the future, adopting private loss-reduction measures can diminish flood risk. Although the number of flood models has grown significantly for developing arid and semi-arid lands, these models suffer from being incapable of performing micro-scale flood risk analysis and including household behaviors. This research work presents a novel socio-economic simulation model in the framework of flood risk management (FRM) to couple household adaptive responses with flood risk analysis. Agent-based modeling (ABM) embeds human behaviors in a flood-simulating environment. The focus of this research is the upper Kan catchment in Iran with a long history of severe flash flooding. Our results show the ability of the developed framework to address household participation in FRM activities through private precautionary measures. Moreover, the results indicate the importance of presenting such micro-level behaviors in flood modeling for a more realistic flood risk assessment. It is also demonstrated that household adaptation in a continuous way can lead to less flood risks in the region, even under climate change and the future economy. Finally, the results reveal that the remaining and diminished regional flood risks are influenced by the behavioral framework through which the individuals make decisions in adopting flood-loss-reduction measures. A similar pattern is, however, observed in household contributions over time among the discussed behavioral approaches.

Soil carbon storage under different types of arid land use in Algeria

This study aims to assess the amount of organic carbon stored in soils, as it is an intention of knowing the sustainable soil management, by using two common methods for determining soil organic matter (SOM), namely oxidation with acidified wet dichromate (Walkley–Black method-WB) and loss on ignition (LOI). The study was carried with soil samples collected from a depth of 0 to 30 cm in the Saharan arid region of Ghardaïa (Algeria), with different land uses: agricultural, forest and pastoral. The results obtained from the LOI and WB methods were subjected to statistical analysis, and the relations between both methods were tested to investigate their relationship. The mean percentage of SOM values were 1.86, 2.42, 1.54 by using LOI, but, lower values of 0.34, 0.33, 0.36 were determined by using WB method, for agricultural, forest and pastoral soils respectively. A weak linear relationship between the two analytical procedures was obtained (R2 of 0.19 and 0.13 for agricultural and forest soils), while a medium relationship (R2 = 0.65) was found for pastoral soils when using linear adjustment. However, the opposite behaviour was found when we use the logarithmic adjustment. The study outcomes indicated discrepancies in the measurements of SOM values between the two methods, been higher those estimated with LOI. Finally, in order to identify the best methodology to measure soil organic matter in arid soils, more research is required in these extreme arid regions as they are a gap in world soil organic matter maps.

National Food Policies and Food Security in Kenya's Arid and Semi-Arid Lands

Food insecurity remains a persistent challenge in Kenya's Arid and Semi-Arid Lands (ASALs) due to a combination of frequent climate shocks such as droughts, floods and livestock diseases. These extremes disrupt traditional ways of life and devastate crops and livestock, leaving communities with little to no food. This paper examined the effect of national food policies and strategies on food security in these fragile regions, specifically focusing on initiatives designed to address the recurring problem. The arguments of the decentralization and institutional capacity theories were used to guide the analysis. Methodologically, the study employed a descriptive survey research design to inform data collection and analysis. The research established that despite government interventions, food insecurity remains prevalent in ASAL regions. The causes of this insecurity are multifaceted, encompassing factors such as climate variability, restricted access to resources and socio-economic disparities. The paper recommends a review of national food policies targeting ASALs to align them with the drivers of food insecurity. The review should include community engagement and stakeholder collaboration to attain effective and sustainable solutions.

Beef Finishing on Range Grass and Legume Supplementation: The Unexploited Profitability Option in Arid and Semi-Arid Lands of Kenya

Beef Finishing on Range Grass and Legume Supplementation: The Unexploited Profitability Option in Arid and Semi-Arid Lands of Kenya

Properties of biochars derived from different straw at 500℃ pyrolytic temperature: Implications for their use to improving acidic soil water retention

Climate change cause extreme weather effects with temperature increases and drops in humidity, such as drought and heatwaves, which will lead to more evaporation in arid and semi-arid lands. The application of biochar made from crop straw without burning to farmland can effectively improve the water retention capacity of soil. A testing program has been carried out in a climate simulation laboratory to study the effects of different straw biochars on the cracking and evaporation of soils due to drying. Biochar from wheat straw (WS), corn straw (CS) and rice straw (RS) is produced at a pyrolysis temperature of 500℃. Thermogravimetric analysis and elemental analysis are carried out to obtain the properties of the biochar. Five percent of WS, CS and RS biochar by weight is added to acidic soil. Digital camera and digital image processing technology are used to analyze the crack morphology of the samples during evaporation. The results indicate that the RS biochar has the highest ash content (32.5 %), CS biochar has the highest content of volatile solid (25.36 %) and WS biochar has the highest content of fixed carbon (55.38 %). Biochar can effectively improve the water retention capacity of soil. The final water contents of the WS, CS and RS biochar soil samples are 132.3 %, 101.0 %, and 20.7 % respectively higher than that of the soil without biochar. Moreover, biochar can effectively reduce the degree of soil cracking. The addition of WS, CS and RS biochar can reduce soil cracking by 9.21 %, 16.57 %, and 7.46 %, respectively. WS contains more total cellulose than CS and RS, so WS biochar is the best choice to improve soil water retention ability. Therefore, biochar technology helps to optimize soil water retention while avoiding environmental pollution from straw burning.

Modeling soybean growth: A mixed model approach.

The evaluation of plant and animal growth, separately for genetic and environmental effects, is necessary for genetic understanding and genetic improvement of environmental responses of plants and animals. We propose to extend an existing approach that combines nonlinear mixed-effects model (NLMEM) and the stochastic approximation of the Expectation-Maximization algorithm (SAEM) to analyze genetic and environmental effects on plant growth. These tools are widely used in many fields but very rarely in plant biology. During model formulation, a nonlinear function describes the shape of growth, and random effects describe genetic and environmental effects and their variability. Genetic relationships among the varieties were also integrated into the model using a genetic relationship matrix. The SAEM algorithm was chosen as an efficient alternative to MCMC methods, which are more commonly used in the domain. It was implemented to infer the expected growth patterns in the analyzed population and the expected curves for each variety through a maximum-likelihood and a maximum-a-posteriori approaches, respectively. The obtained estimates can be used to predict the growth curves for each variety. We illustrate the strengths of the proposed approach using simulated data and soybean plant growth data obtained from a soybean cultivation experiment conducted at the Arid Land Research Center, Tottori University. In this experiment, plant height was measured daily using drones, and the growth was monitored for approximately 200 soybean cultivars for which whole-genome sequence data were available. The NLMEM approach improved our understanding of the determinants of soybean growth and can be successfully used for the genomic prediction of growth pattern characteristics.

Rapid land cover change in agricultural valleys of the Atacama Desert, Chile

The profound landscape modification produced by agriculture is considered one of the main threats to biodiversity worldwide. Although the main ecological impacts are likely due to agricultural expansion into natural areas, changes in crop types and production intensification also induce significant ecological changes. We studied the land cover change process in four agricultural valleys (Lluta, Azapa, Vítor and Camarones) in the Atacama Desert of Chile between 2003 and 2019, divided into four equal periods. Using spatial data and logistic regression, we assessed the driving factors of land cover change. The Azapa valley showed the highest rate of land cover change, reaching 36.4% of netting and greenhouses landscape cover by the end of the study, and 50.4% annual rate of increase during the 2007–2011 period. Intensification was observed as the anti-aphid netting cover expanded mainly in Azapa and in the last four years in Vítor and Lluta valleys. Most land cover change was related to low slopes and elevation or sites closer to roads or surrounded by already cultivated land, like agriculture expansion on barren soil or native shrubland loss. High population density was significantly correlated with land cover change (p < 0.01). If land cover change into netting continues as observed, it is possible that landscape homogenization occurs in the short term in almost all valleys. Anyway, disentangling how landscape change works and the involved drivers, could be useful to understand landscape simplification in arid lands that are under an agricultural intensification process.

Increasing sunflower productivity by mitigating soil salt stress through biochar-based amendments

ABSTRACT The utilization of biochar encountered numerous constraints in achieving increased production and addressing soil salinity issues when employed in isolation. It is essential to take specific measures to maximize its advantages. A two-season field experiment was conducted for planting sunflower using biochar (C, 15 t ha−1) and fulvic acid (FA, 0.15 t ha−1) amendment in the Hetao Irrigation Region in Inner Mongolia, China. The results indicated that the C+FA treatment led to a 28.9% reduction in soil salinity levels at a depth of 0–20 cm after the two-year sunflower cultivation when compared to CK. Analysis of ions revealed that the increase in the ratio of CO3 2- and HCO3 − led to soil pH rise. The C+FA treatment showed 22.64 g kg−1 organic matter content at depth of 0–20 cm after harvested in the second year. The growth characteristics of sunflowers were enhanced, along with an improvement in the plant’s nitrogen nutrition. The C+FA treatment resulted in a seed yield of 8.5 t ha−1, indicating a twofold increase in comparison to the CK treatment. The research indicates that utilizing biochar-based amendments offers practical benefits for promoting saline agricultural development in arid and semi-arid lands.

Remote Sensing Methods and GIS Approaches for Carbon Sequestration Measurement: A General Review

Geospatial technologies like Remote Sensing (RS) and Geographic Information Systems (GIS) provide a platform for swiftly evaluating terrestrial Carbon Stock (CS) across extensive regions. Employing an integrated RS-GIS method for estimating Above-Ground Biomass (AGB) and precise carbon management emerges as a timely and economical strategy for implementing effective management plans on a localized and regional level. This study reviews different RS-related techniques utilized in CS assessment, particularly in arid lands, shedding light on the challenges, opportunities, and future trends associated with the process. As global warming poses adverse impacts on major ecosystems through temperature and precipitation changes, professionals have a call to develop evidence-based interventions to mitigate them. Carbon sequestration involves harnessing and storing carbon stocks from the atmosphere to minimize the adverse effects of climate change. The review explores the effectiveness of integrating remote sensing and GIS methodologies in quantifying carbon sequestration within agroforestry landscapes. In addition, this review also assesses the traditional methods, including their limitations, and deeply delves into recent techniques, emphasizing key remote sensing (RS) variables for biophysical predictions. This study showcases the efficacy of geospatial technologies in evaluating terrestrial carbon stock, particularly in arid regions. The study reviews diverse techniques and sensors, like optical Radio Detection and Ranging (RADAR), and Light Detection and Ranging (LiDAR), extensively employed for above-ground biomass (AGB) estimation and carbon stock assessment with RS data, introducing and discussing new methods. Existing literature was examined to present knowledge and evidence on the effectiveness of these technologies in carbon sequestration. The key findings of this review will inform future research and integration of technology, policy formulation, and carbon sequestration management to mitigate the impacts of climate change.

‘Architectural Design for Procuring Thermal Comfort’: Hassan Fathy, Nubia, and Desert Building

As part of an indigenous building movement in the Global South, the United Nations published two books by Egyptian architect Hassan Fathy (1900–89): one on building ‘for the poor’ and the other on passive cooling in vernacular architecture from hot environments. Using his correspondence, reports, designs, published writings, and built forms, this article tracks Fathy’s changing use of a crucial technique, mud-brick vaulting, that he learned in Nubia, an area of Egypt’s arid south largely destroyed by dams in the twentieth century. I show how Fathy mined Nubia rhetorically and materially to use, and later attempt to copyright, its residents’ ‘instinctive’ skills for living in hot arid lands. Over time, Fathy’s appropriations helped to transform Nubia’s vernacular morphology into a universal commons of desert and ‘Islamic’ forms, which enabled him to expand the geographic scope of his practice into the Arabian Peninsula in Oman and Saudi Arabia and into the southwestern United States.

In Dabouki Land: Interdisciplinary notes on the cultural history of a landrace grape cultivar in Israel

Cultivated for millennia, the grapevine held a special status as one of the most important fruits in the historical Levant and the Mediterranean world. However, since past farmers typically did not leave written accounts of their activities, viticulture history is often shrouded in ambiguity, especially concerning the classification of grapevine landrace varieties. Hence, the study of archaic viticulture relies heavily on methodological fusion to unravel its more readily discernible biological and oral traditions. We therefore merged archaeological fieldwork, historical archival analysis, field geography and ethnographic interviews to collect multifarious data on the Dabouki grapevine. Our analytical synthesis enabled us to depict how, over the course of history, diverse communities variously grew this cultivar in dryland vineyards. The cultural history of the Dabouki stretches from at least the Ottoman era, when it was widely planted throughout the region under various names, to its current revival by enterprising Israeli and Palestinian winemakers. The majority of our research was conducted within a unique environmental corridor in the western Negev of Israel where dense concentrations of relic Dabouki grapevine survive. Our paper surveys the cultural history of the Dabouki grape as a flagship cultivar in the intergenerational horticultural regimes of arid land farmers in the western Negev of the southern Levant. Remarkably, archaic Negev viticulturalists used the same cultivars across successive historical periods and varying socioeconomic contexts. As such, the paper illustrates that arid regions with longstanding winegrowing traditions are ideal for locating endemic grapevines that apparently can withstand challenging growing conditions. Focusing on the enduring legacy of the Dabouki, we suggest how historical knowledge of ancient dryland farming systems and landrace cultivars can bolster the sustainability of contemporary viticulture.

How much can assisted natural regeneration contribute to ecological restoration in arid lands?

How much can assisted natural regeneration contribute to ecological restoration in arid lands?

Design and research on structure of plateau hand-held cutting and sun drying machine

With the development of agricultural modernization, accelerating agricultural mechanization has become an important direction for the development of agriculture in China. However, agricultural mechanization is uneven and insufficient in terms of regions, industries, crop varieties, and production stages. Although there are already a large number of agricultural machinery products on the market, most of them are designed for large-scale crops in northern arid lands, lacking machinery suitable for barley and adaptable to small plots and sloping farmlands in the Qinghai-Tibet Plateau region. The development of a barley harvester adapted to plateau mountainous areas contributes to the development of special agricultural machinery in China, improves the uneven development of agricultural mechanization, and promotes agricultural development in plateau mountainous areas. This paper conducts research on the actual terrain of the Qinghai-Tibet Plateau, barley planting conditions, and harvester operational conditions. Based on the production needs of barley agriculture, the design is optimized and improved. Following the principle of overall coordination, the overall structural parameters of the harvester suitable for the operational requirements of plateau mountainous areas are determined. The structural design of key components such as wheelbase, axle spacing, ground clearance, harvesting mechanical arm, and harvesting mechanism is detailed. Additionally, SolidWorks software is used for three-dimensional modeling of the barley harvester. CAE technology is employed to analyze the static and dynamic performance of critical chassis components, validate theoretical calculations, and confirm final structural parameters. Furthermore, a dynamics characteristic model is established based on the optimized parameters to theoretically analyze the stability of the entire machine and verify whether the designed plateau barley harvester meets field operation requirements. Finally, Bluetooth communication technology is utilized to autonomously design control hardware and software, achieving intelligent control of the machinery.

A pilot study expanding participatory epidemiology to explore community perceptions of human and livestock diseases among pastoralists in Turkana County, Kenya

Abstract In Kenya, pastoralists grapple with significant health and livelihood challenges due to livestock, zoonotic, and human-specific diseases. These diseases threaten the sustainability of their unique food production system and its considerable economic, nutritional, and ecologic value. Disease control and prevention in arid and semi-arid lands are currently inadequate due to underfunded and ill-adapted health programs coupled with a shortage of personnel. Participatory epidemiology (PE) presents a valuable tool for understanding community perceptions of disease importance and epidemiology, thereby aiding in improving control measures and promoting community involvement in centralized service delivery programs. Yet, the use of PE has focused on livestock and zoonotic diseases, leaving perceptions of human-specific disease and the complex interplay between pastoralists, their livestock, and the rangelands largely unexplored. To address this gap, we utilized PE to achieve three objectives: (1) establish links between human and livestock diseases, (2) determine perceptions of disease priorities, and (3) assess knowledge of disease epidemiology. Our findings indicate that the relationships between human and livestock diseases primarily manifest in two categories: disease symptoms and zoonoses. Disease priorities differed between locations, with no apparent pattern emerging that human or livestock diseases are considered more important. Importance indicators such as prevalence, mortality, morbidity, and spatial/temporal variation were shared across diseases. Diseases perceived as more prevalent and deadly were deemed most consequential, while those seen as less prevalent, less deadly, and exhibiting more spatial/temporal variation were considered important. Our results underscore the added value of including human-specific diseases in PE, which can help improve disease prevention and control initiatives among pastoralists. Human, animal, and environmental health programs and research can leverage and expand upon our approach, combining it with household surveys and other surveillance methods to address health challenges among pastoralists in the drylands of Northern Kenya and beyond.