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Fusarium foot and root rot is one of the most important soilborne diseases of cereals, specifically on durum wheat which is the main cultivated species in the Mediterranean regions. This work aimed to evaluate the response of durum wheat and bread wheat to this disease under different climatic conditions. The disease parameters, grain yield loss as well as thousand kernel weight (TKW), heading date and height of plant were evaluated on 29 durum and bread wheat genotypes during two years. Overall, durum wheat grain yield was strongly and negatively correlated with disease parameters, heading date, and positively with plant height and TKW compared to bread wheat. In the drier year, the 24 durum wheat genotypes were more susceptible to the disease than the five bread wheat varieties while some of them showed less disease during the wetter year. Bread wheat maintained the same behavior in both years vs. durum wheat. Grain yield loss was higher on durum wheat compared to bread wheat. It was the same in both years (56 and 51%) for durum wheat and was significantly (p < 0.01) lower in the drier (24%) compared to the wetter year (44%) for bread wheat. This work confirmed the susceptibility of Tunisian durum wheat to the disease compared to bread wheat and calls attention to the potential vulnerability of this important Mediterranean food crop under a hotter, drier climate. More research is needed to investigate adaptation to drought and plant defense mechanisms and to breed for resistance to this disease. [ABSTRACT FROM AUTHOR]

In areas with restriction of water resource access for agricultural activities, one of the most challenging issues is determining irrigation depth in such a way that gets high efficiency. A field experiment was conducted to evaluate three different irrigation scenarios; in which irrigation depth was determined by WASH_1D/2D model and FAO method; as well as rainfed (no irrigation) treatment, in the fine textured soil under potato cultivation. The results showed that simulating method could optimize water use with considering weather forecast data as 6 irrigation events and 12.6 mm depth, compared to 10 irrigation events and 37.3 mm depth for FAO method. A significant difference was observed among gained yield under irrigated and rainfed plots that implied irrigation importance even in rainy season. The applied water efficiency values for simulated and FAO methods was gained as 198 and 70 g/mm, respectively; which indicate the WASH_1D/2D model may be an appropriate choice to determine irrigation depth considering water use optimizing in regions with water supply problems. [ABSTRACT FROM AUTHOR]

The cover management factor is one of the main five factors that is used within the universal soil loss equation to reflect the effect of cropping and management practices on soil erosion rates. It is determined through tables and equations derived in tropical and European conditions, which are not suitable for semi-arid regions with different climate, topography, and soil characteristics. Therefore, this study considers al-Arish basin in Sinai Peninsula, Egypt as a semi-arid study area to generate a cover management factor's equation in terms of the Normalized Difference Vegetation Index using hydrological modeling and satellite images processing. To verify the proposed equation, it was applied to the Derna catchment in Libya and compared with European and tropical ones with respect to the hydrological outputs. Statistical analysis indicates that the proposed equation determines the cover management factor more accurately than those developed for tropical or European regions, as the correlation coefficient between the cover management factor and the hydrological results was 0.71, while it was about 0.20 for the European and tropical, equations, also the degree of agreement between the proposed equation's results and the hydrological simulation was 0.768 while it was 0.001 and 0.02 for the tropical and European equations respectively. By utilizing the newly developed equation, the soil erosion can be estimated more accurately for the semi-arid regions, and a better understanding of the relation between the vegetation cover and soil erosion can be drawn. [ABSTRACT FROM AUTHOR]

The impact of global climate change on water resources is a pressing concern, particularly in arid and semi-arid regions, where water shortages are becoming increasingly severe. Rainwater harvesting (RWH) offers a promising solution to address these challenges. However, the process of selecting suitable RWH sites is complex. This paper introduces a comprehensive methodology that leverages various technologies and data sources to identify suitable RWH locations in the northern region of Iraq, considering both historical and future scenarios. The study employs remote sensing and geographic information systems to collect and process geospatial data, which are essential for the site selection process. AHP is utilized as a decision-making tool to assess and rank potential RWH locations based on multiple criteria, helping to prioritize the most suitable sites. The WLC approach is used to combine and weigh various factors, enabling a systematic evaluation of site suitability. To account for the uncertainty associated with future climate conditions, a stochastic weather generator is employed to simulate historical and future precipitation data for period (1980–2022) and (2031–2100). This ensures that the assessment considers changing climate patterns. Historical precipitation values ranged from 270 to 490 mm, while future projections indicate a decrease, with values varying from 255 to 390 mm. This suggests a potential reduction in available water resources due to climate change. The runoff for historical rainfall values ranged from 190 mm (poor) to 490 mm (very good). In the future projections, runoff values vary from 180 mm (very poor) to 390 mm (good). This analysis highlights the potential impact of reduced precipitation on water availability. There is a strong correlation between rainfall and runoff, with values of 95% for historical data and 98.83% for future projections. This indicates that changes in precipitation directly affect water runoff. The study incorporates several criteria in the model, including soil texture, historical and future rainfall data, land use/cover, slope, and drainage density. These criteria were selected based on the nature of the study region and dataset availability. The suitability zones are classified into four categories for both historical potential and future projections of RWH zones: very high suitability, covering approximately 8.2%. High suitability, encompassing around 22.6%. Moderate suitability, constituting about 37.4%. Low suitability, accounting for 31.8% of the study region. For the potential zones of RWH in the future projection, the distribution is as follows: very high suitability, approximately 6.1%. High suitability, around 18.3%. Moderate suitability, roughly 31.2%. Low suitability, making up about 44.4% of the study region. The research's findings have significant implications for sustainable water resource management in the northern region of Iraq. As climate change exacerbates water scarcity, identifying suitable RWH locations becomes crucial for ensuring water availability. This methodology, incorporating advanced technology and data sources, provides a valuable tool for addressing these challenges and enhancing the future of water management to face of climate change. However, more investigations and studies need to be conducted in near future in the study region. [ABSTRACT FROM AUTHOR]

Climate change alters the global distribution of leishmaniasis vector sandfly species. However, the possible effect of altering environmental factors on sandfly species varies by species and area. The aim of this study was to project the future potential effect of climate change on the Western Asian occurrence of the sandfly vector species Phlebotomus papatasi and Phlebotomus sergenti and the parasites Leishmania major and Leishmania tropica for 2041–2060 and 2081–2100 compared to their modelled climatic suitability patterns in the reference period 1970–2000. The model results suggest that by 2041–2060 and 2081–2100, in the coastal areas of the Levantine countries and the mid-elevation regions of Western Iran and Southeast Turkey, the climatic suitability of all the studied species is predicted to increase. In contrast, the model results suggest the decline of the populations of the studied vectors as well as the disappearance of the parasites in Iraq, North Saudi Arabia, Kuwait, and the inland regions of Western Asian countries. Considering the present-day population density patterns, it can be said that although in large regions of the region, the climatic suitability values are predicted to decrease, the populated Levantine regions seem to be at risk of climate change-facilitated increase in cutaneous leishmaniasis in the second half of the twenty-first century. The model results suggest that climate change will especially increase the climatic suitability of Leishmania tropica in the Levantine region in the late twenty-first century. [ABSTRACT FROM AUTHOR]

Using satellite imagery for land cover mapping is of utmost importance due to its role played in environmental management and protection, assessment of natural resources and human activities and planning for sustainable development. The objective of this research study is to generate high-resolution land use/land cover maps for the semi-arid regions. First, we introduce a novel district-scale land cover dataset for a semi-arid region spanning over an area of 4978 km2 of Ludhiana district located in the state of Punjab, India. The dataset is composed of multi-temporal, multi-spectral Sentinel-2 satellite images for the year 2020 along with their ground truth mask. Eight major land use/land cover classes were mapped at the pixel level. Second, in order to exploit the spatio-temporal nature of satellite imagery, we employ a 3D encoder–decoder-based semantic segmentation architecture to produce the land cover maps. Third, we show the relevance of incorporating temporal features of satellite data for land use/land cover mapping through experimental results. Mean Intersection over Union (mIoU) and F1 score of 89.30% and 94.35%, respectively, were achieved. This study is vital from the perspective of understanding the dynamics of land use/land cover patterns in the context of agriculturally rich areas experiencing rapid urban population growth and shrinkage of cropland. [ABSTRACT FROM AUTHOR]

In order to understand the ecophysiology of sub-Sahelian tree species and to optimize their use in agroforestry, studies on tree root distribution are essential. The aim of this study was to investigate the root distribution of three sub-Sahelian tree species, Adansonia digitata, Faidherbia albida and Borassus akeassii, in three sites along a precipitation and soil gradient in Senegal. Root density maps observed on trench walls and soil-coring methods were used to characterize variations in root density of mature trees. Coarse and fine root distribution was strongly influenced by the site conditions, with root density being highest in the humid site for all tree species. B. akeassii had the highest root density compared to the other two species. Fine root biomass was concentrated in the 0–30 cm soil layer for A. digitata and from 30 to 60 cm for B. akeassii and F. albida. Laterally, the fine root biomass decreased substantially with increasing distance from the trees. Understanding the root distribution of sub-Sahelian tree species across climatic conditions could help to reduce competition between crops and perennials in agroforestry parklands. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the annual precipitation time series in the Yarmouk River Basin, Jordan, and to characterize dry–wet periods using the standardized precipitation index (SPI). Annual precipitation data of 11 stations in the Yarmouk River Basin were analyzed to explore the stationarity, homogeneity, persistence, and trends over the 36-year study period. It was concluded that the annual precipitation data in the Yarmouk River Basin are purely random and homogenous with no autocorrelation or significant trends. Several statistical distributions were investigated for their fit to the annual precipitation data, and it was found that the loglogistic was the most suitable distribution for all stations. The 12-month SPI was computed via three different approaches: the gamma approximation, the Box-Cox transformation, and the selected distribution (loglogistic) method. These three methods did not yield significantly different SPI values for most stations; however, clear differences can be observed in extremely wet or dry conditions. Therefore, the SPI-gamma approach is recommended for characterizing wet conditions, while the Box-Cox and the loglogistic approaches are recommended for drought assessment. It was also found that major drought events (moderate, severe, and extreme) over the study period range from 3 to 8 per station with an average of 5.48 per station and an average relative frequency of 0.152. The driest year for most stations was observed in 1998–1999 while 1991–1992 was the wettest year. [ABSTRACT FROM AUTHOR]

Introduction: This study explores the integration of precision agriculture technologies (PATs) in rainfed cereal production within semi-arid regions.utilizing the Veris 3100 sensor for apparent soil electrical conductivity (ECa) mapping, differentiated management zones (MZs) were established in experimental plots in Valsalada, NE Spain. Site-specific variable dose technology was applied for seed and fertilizer applications, tailoring inputs to distinct fertility levels within each MZ. Emphasizing nitrogen (N) management, the study evaluated the impact of variable-rate applications on crop growth, yield, nitrogen use efficiency (NUE), and economic returns. For the 2021/2022 and 2022/2023 seasons, seeding rates ranged from 350 to 450 grains/m2, and basal fertilizer dosages varied between high and low levels. Additionally, the total nitrogen units were distributed differently between the two seasons, while maintaining a uniform topdressing fertilizer dose across all treatments.Results revealed a significant increase in yield in MZ 2 (higher fertility) compared to MZ 1 (lower fertility). NUE demonstrated notable improvement in MZ 2, emphasizing the effectiveness of variable-rate N applications. Economic returns, calculated as partial net income, showed a considerable advantage in MZ 2 over MZ 1, resulting in negative outcomes for low-fertility areas in several of the analyzed scenarios, and highlighting the financial benefits of tailored input management.This research provides quantitative evidence supporting the viability and advantages of adopting PATs in rainfed cereal production. The study contributes valuable insights into optimizing input strategies, enhancing N management, and improving economic returns in semi-arid regions.Methods: This study explores the integration of precision agriculture technologies (PATs) in rainfed cereal production within semi-arid regions.utilizing the Veris 3100 sensor for apparent soil electrical conductivity (ECa) mapping, differentiated management zones (MZs) were established in experimental plots in Valsalada, NE Spain. Site-specific variable dose technology was applied for seed and fertilizer applications, tailoring inputs to distinct fertility levels within each MZ. Emphasizing nitrogen (N) management, the study evaluated the impact of variable-rate applications on crop growth, yield, nitrogen use efficiency (NUE), and economic returns. For the 2021/2022 and 2022/2023 seasons, seeding rates ranged from 350 to 450 grains/m2, and basal fertilizer dosages varied between high and low levels. Additionally, the total nitrogen units were distributed differently between the two seasons, while maintaining a uniform topdressing fertilizer dose across all treatments.Results revealed a significant increase in yield in MZ 2 (higher fertility) compared to MZ 1 (lower fertility). NUE demonstrated notable improvement in MZ 2, emphasizing the effectiveness of variable-rate N applications. Economic returns, calculated as partial net income, showed a considerable advantage in MZ 2 over MZ 1, resulting in negative outcomes for low-fertility areas in several of the analyzed scenarios, and highlighting the financial benefits of tailored input management.This research provides quantitative evidence supporting the viability and advantages of adopting PATs in rainfed cereal production. The study contributes valuable insights into optimizing input strategies, enhancing N management, and improving economic returns in semi-arid regions.Results: This study explores the integration of precision agriculture technologies (PATs) in rainfed cereal production within semi-arid regions.utilizing the Veris 3100 sensor for apparent soil electrical conductivity (ECa) mapping, differentiated management zones (MZs) were established in experimental plots in Valsalada, NE Spain. Site-specific variable dose technology was applied for seed and fertilizer applications, tailoring inputs to distinct fertility levels within each MZ. Emphasizing nitrogen (N) management, the study evaluated the impact of variable-rate applications on crop growth, yield, nitrogen use efficiency (NUE), and economic returns. For the 2021/2022 and 2022/2023 seasons, seeding rates ranged from 350 to 450 grains/m2, and basal fertilizer dosages varied between high and low levels. Additionally, the total nitrogen units were distributed differently between the two seasons, while maintaining a uniform topdressing fertilizer dose across all treatments.Results revealed a significant increase in yield in MZ 2 (higher fertility) compared to MZ 1 (lower fertility). NUE demonstrated notable improvement in MZ 2, emphasizing the effectiveness of variable-rate N applications. Economic returns, calculated as partial net income, showed a considerable advantage in MZ 2 over MZ 1, resulting in negative outcomes for low-fertility areas in several of the analyzed scenarios, and highlighting the financial benefits of tailored input management.This research provides quantitative evidence supporting the viability and advantages of adopting PATs in rainfed cereal production. The study contributes valuable insights into optimizing input strategies, enhancing N management, and improving economic returns in semi-arid regions.Conclusion: This study explores the integration of precision agriculture technologies (PATs) in rainfed cereal production within semi-arid regions.utilizing the Veris 3100 sensor for apparent soil electrical conductivity (ECa) mapping, differentiated management zones (MZs) were established in experimental plots in Valsalada, NE Spain. Site-specific variable dose technology was applied for seed and fertilizer applications, tailoring inputs to distinct fertility levels within each MZ. Emphasizing nitrogen (N) management, the study evaluated the impact of variable-rate applications on crop growth, yield, nitrogen use efficiency (NUE), and economic returns. For the 2021/2022 and 2022/2023 seasons, seeding rates ranged from 350 to 450 grains/m2, and basal fertilizer dosages varied between high and low levels. Additionally, the total nitrogen units were distributed differently between the two seasons, while maintaining a uniform topdressing fertilizer dose across all treatments.Results revealed a significant increase in yield in MZ 2 (higher fertility) compared to MZ 1 (lower fertility). NUE demonstrated notable improvement in MZ 2, emphasizing the effectiveness of variable-rate N applications. Economic returns, calculated as partial net income, showed a considerable advantage in MZ 2 over MZ 1, resulting in negative outcomes for low-fertility areas in several of the analyzed scenarios, and highlighting the financial benefits of tailored input management.This research provides quantitative evidence supporting the viability and advantages of adopting PATs in rainfed cereal production. The study contributes valuable insights into optimizing input strategies, enhancing N management, and improving economic returns in semi-arid regions. [ABSTRACT FROM AUTHOR]

The study of community structure changes in relation to environmental gradients can help assessing and predicting community response to anthropogenic disturbances; however, such types of studies are rare in semi-arid regions. This study aimed at investigating the macroinvertebrate community composition in response to environmental variables in rivers of a semi-arid mountainous region, i.e., the Zagros mountain range, southwestern Iran. Environmental variables and macroinvertebrates were sampled at 54 sites in four seasons during 2018–2019. A total of 101 families of benthic macroinvertebrates from 8 classes and 21 orders were identified. Diversity and evenness indices showed significant temporal variation (p < 0.05). Also, taxa richness and Ephemeroptera, Plecoptera, and Trichoptera taxa showed strong seasonal stability, whereas spatial variation among all metrics was significantly different (p < 0.05). Taxa richness and density weekly correlated with altitudinal gradient. Correlation analysis, cluster analysis, non-metric multidimensional scaling, and canonical correspondence analysis demonstrated associations between community composition and environment variables, including definition of site groupings according to aggregated quality estimates. The results suggest that both physico-chemical variables of water (nitrate, total dissolved solids, Escherichia coli, temperature, chemical oxygen demand, and dissolved oxygen) and habitat structure (wetted river width, altitude, and riffles presence) determined the community composition of macroinvertebrates. Seasonal variation of community indices and community composition in our region seemed to differ from those estimated from subarctic, temperate and subtropical ecosystems. Our study provides a strong basis for further research, planning, and conservation of macroinvertebrate communities in the Karun River basin and similar river systems in the region. [ABSTRACT FROM AUTHOR]

Since the year 2020, the use of plastic as a strategy to mitigate the spread of COVID-19 disease has been given substantial attention. Global environmental contamination of plastic creates waste and is a known threat to soil ecosystems as a main sink of microplastics. However, there is still considerable uncertainty about microplastics controlling soil properties alteration. Therefore, we carried out an incubation experiment with soil and Carex stenophylla Wahlenb., which are the dominant soil and grass species in semi-arid regions. We investigated the effect of polymer polyethylene terephthalate (PET) concentrations (0%, 1%, 3%, and 5%) on C. stenophylla growth and soil ammonium-N and nitrate–N, organic matter content, pH, soil aggregates, and soil respiration. When soils were exposed to PET microplastics, fewer seeds germinated (62.8 ± 32%) but not significantly (p value > 0.05) when soils were treated to 0, 1, 3, and 0.5% PET. Shoot height was also not effectively reduced with PET. The soil pH was considerably lower when exposed to higher PET compared to all other treatments with the soil exposed to 5% w/w PET for both unplanted and planted, being 0.84 and 0.54 units, respectively, lower than the controls. The soil microbial respiration under exposure to PET was considerably increased in comparison to control samples. Moreover, the presence of PET resulted in potential alterations of soil stability, and with PET present soil stability increased. In conclusion, PET microplastics cannot significantly affect the development of C. stenophylla but could affect crucial soil properties. In addition, changes occurred with increased variability in soil ammonium-N and nitrate–N, particularly at a high PET ratio. [ABSTRACT FROM AUTHOR]

Copyright of Hydrogeology Journal is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study assessed the impact of spatio-temporal changes in weather variables (minimum and maximum temperatures, and precipitation), aridity index (AI), and four agro-climatic indices on grain yield of rainfed chickpea in the northwest of Iran between 1998 and 2017. The four agro-climatic indices were accumulative temperatures less than Tmin (TLB), number of days with temperatures less than Tmin (DLB), accumulative temperatures above the Tcritical (TAC), and number of days with temperatures above the Tcritical (DAC). Chickpea grain yield responded negatively to higher temperatures and decreased precipitation. Spatio-temporal variability of monthly weather variables (precipitation and temperature) particularly in May, June, and July played an important role in crop yield determination in the target area during the study period. It was shown that Maragheh and Mianeh, located in the lower half of the study area, have become more arid than other locations during the last 2 decades. Therefore, any small increase in AI in these two locations during June at flowering, could lead to a considerable increase in crop yield. Further, the spatio-temporal analysis showed that TLB and DLB decreased while TAC and DAC increased over the last 2 decades, which had detrimental effects on chickpea grain yield. The negative impacts of DAC and TAC, however, were much higher than those of TLB and DLB. Overall, the warmer seasons and warmer locations, particularly in the more arid area, had more destructive effects on chickpea yield than colder ones during the study period. The findings of this study can be used to enhance understanding of the climate-crop relationships and can help decision-makers to recognize the areas have hazardous climatic condition for chickpea and to forecast regional yield as well. Finally, this approach could be transferrable to other regions, particularly in the arid and semi-arid regions that are experiencing similar problems, to move towards sustainable development goals. [ABSTRACT FROM AUTHOR]

Small-scale farmers who depend on natural resources for subsistence in rural areas are especially vulnerable to climate change and may develop adaptive responses once they understand the nature of the risks and their consequences. We examine the effects of schooling, experience in agriculture, and the number and severity of risks perceived by farmers on the number and type of adaptive responses developed. Ninety-four farmers were surveyed in six rural communities in Catimbau National Park, Pernambuco, Brazil, to obtain socioeconomic data about major drought events and perceived related risks. Participants were asked to classify risks according to their severity. We argue that understanding the degree of vulnerability of social-ecological systems in semi-arid regions may facilitate actions at different scales to mitigate risks arising from climate change. [ABSTRACT FROM AUTHOR]

Palaeoecology is increasingly contributing to conservation biology and restoration ecology by extending the recent annual to decennial records of ecological observations to centennial and millennial time scales. One of the almost neglected potential applications of palaeoecological investigations in conservation biology is the discovering of hidden species in subrecent fossil records. Such discoveries can be common in biodiversity hotspots in which the fauna and flora are not still fully known. In this study, we present the case of the liverwort Riella in continental southwest Asia (Iranian plateau), a very vulnerable taxon growing and reproducing under very special ecological circumstances. Our study adds two new species of Riella (R. echinata and R. helicophylla) in addition to the formerly reported R. cossoniana, to the subfossil bryophyte flora of Iran. We demonstrate the important contribution that the genus has played in the history of wetland flora of the semi-arid to arid areas of Iran during the late Quaternary. We further demonstrate the possibility that it is still thriving in many wetland systems and may need to be discovered and then protected in its potential habitats. We suggest that in the biodiversity hotspots of lower latitudes, more attention has to be paid to taxonomic identification of species to reveal the hidden part of the biodiversity for defining better conservation strategies for vulnerable aquatic ecosystems such as the seasonal wetland systems. [ABSTRACT FROM AUTHOR]

Soil fungi are ecologically important as decomposers, pathogens, and symbionts in nature. Understanding their biogeographic patterns and driving forces is pivotal to predict alterations arising from environmental changes in ecosystem. Dissolved organic matter (DOM) is an essential resource for soil fungi; however, the role of its quality in structuring fungal community patterns remains elusive. Here using Illumina MiSeq sequencing, we characterized total fungi and their functional groups in 45 soil samples collected from a 1500-km sampling transect through semi-arid regions in northern China, which are currently suffering great pressure from climate change. Total fungi and their functional groups were all observed to exhibit significant biogeographic patterns which were primarily driven by environmental variables. DOM quality was the best and consistent predictor of diversity of both total fungi and functional groups. Specifically, plant-derived DOM was associated with greater diversity relative to microbe-dominated origins. In addition, fungal diversity linearly increased with increases in degree of humification in DOM. Similarly, among all measured environmental variables, DOM quality had the strongest effects on the community composition of total fungi and functional groups. Together, our work contributes to the factors underlying fungal biogeographic patterns and adds detail to the importance of DOM quality in structuring fungal communities. [ABSTRACT FROM AUTHOR]

Understanding the greenhouse gas emissions mechanism from the agricultural soils is essential to reach an agricultural system with a lower impact on the environment. The cultivation practices in combination with deficit irrigation have been used in a dry-land farming system to modify the soil water status. However, few research works have been focused on plastic film with deficit irrigation regimes on global warming potential (GWP), greenhouse gas intensity (GHGI), and biomass productivity under simulated rainfall conditions. In the current study, a 2-year study was carried out in a rainproof mobile shelter to study the potential role of two cultivation practices (i.e., furrow with plastic mulching on ridges, RF; and conventional flat cultivation, TF) in combination with two deficit irrigation regimes (i.e., 150 and 75 mm) and three simulated rainfall (i.e., 1, 275 mm; 2, 200 mm; and 3, 125 mm).. We found that RF2150 treatment was more effective in improving the soil water content, soil respiration rate, and winter wheat production and significantly reduced (39.2%) the GHGI and GWP than TF2150 treatment. The RF2150 treatment improved soil moisture and significantly increased (18.9%) grain yield, (11.1%) biomass, (75.8%) WUEg, and (64.1%) WUEb of winter wheat and largely mitigated GWP and GHGI. The RF system with 150-mm deficit irrigation regime plays a significant role in increasing the biomass productivity and soil respiration rate and minimizing the seasonal greenhouse gas fluxes, GHGI, and field ET rates under 200-mm precipitation condition. Compared with TF practice, the plastic film mulching on ridges and furrow on the planting zone could significantly improve biomass and WUE and reduce N2O, CO2, and CH4 emissions. The RF2150 treatment should be very good water-saving approach and a powerful tool to decrease GHGI and GWP via increased biomass, WUE, soil respiration rate, and wheat yields under a dry-land farming system. [ABSTRACT FROM AUTHOR]

Copyright of Hydrogeology Journal is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article reviews recent progress in semi-arid climate change research in China. Results indicate that the areas of semi-arid regions have increased rapidly during recent years in China, with an increase of 33% during 1994–2008 compared to 1948–62. Studies have found that the expansion rate of semi-arid areas over China is nearly 10 times higher than that of arid and sub-humid areas, and is mainly transformed from sub-humid/humid regions. Meanwhile, the greatest warming during the past 100 years has been observed over semi-arid regions in China, and mainly induced by radiatively forced processes. The intensity of the regional temperature response over semi-arid regions has been amplified by land-atmosphere interactions and human activities. The decadal climate variation in semi-arid regions is modulated by oceanic oscillations, which induce land-sea and north-south thermal contrasts and affect the intensities of westerlies, planetary waves and blocking frequencies. In addition, the drier climates in semi-arid regions across China are also associated with the weakened East Asian summer monsoon in recent years. Moreover, dust aerosols in semi-arid regions may have altered precipitation by affecting the local energy and hydrological cycles. Finally, semi-arid regions in China are projected to continuously expand in the 21st century, which will increase the risk of desertification in the near future. [ABSTRACT FROM AUTHOR]

Copyright of Hydrogeology Journal is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Determining the effect of ridge-furrow cultivation mode on 13C carbon isotope discrimination, photosynthetic capacity, and leaf gas exchange characteristics of winter wheat leaves will help to increase wheat production. To verify these effects of cultivation modes with deficit irrigation will provide scientific basis for determining water-saving strategy. Therefore, a mobile rainproof shelter was used to explore the potential benefit of two cultivation modes: (1) the ridge-furrow (RF) precipitation system and (2) traditional flat planting (TF) with two deficit irrigation levels (150, 75 mm) and three precipitation levels (275 mm, 200 mm, 125 mm) were tested in this study. Plastic film mulching on ridges had significant effects on rainwater collection and improved soil water retention. Analysis of the light-response curve showed that RF2150 treatment significantly increased flag leaf net photosynthetic rate (Pn), stomatal conductance (Gs), intercellular CO2 concentration (Ci), transpiration rate (Tr), leaf WUE, and total contents of chlorophyll ab of wheat at flowering stage than that of TF planting. The RF system significantly increases maximum net photosynthetic rate (Pnmax) (16.2%), light saturation points (LSP) (6.7%), and Pn under CO2-response curves compared to the TF cultivation across the two irrigation and three simulated rainfall levels. The RF system significantly increased Δ13C (0.7%) and caused a notable increase in the intercellular to ambient CO2 concentration ratio (7.6%), dry matter translocation (54.9%), and grain yield plant−1 (19%) compared to the TF planting. Furthermore, Δ13C was significantly positively correlated with Pn, Gs, Ci/Ca, Ci, Tr, Pnmax, LSP, and grain yield. This study suggested that the RF2150 treatment was the best water-saving technique because it increased soil water content, Δ13C, biomass, grain yield, and leaf WUE. [ABSTRACT FROM AUTHOR]

The nexus between climate change, agriculture, and poverty has become a major topic of concern, especially for dry regions, which represent a large share of the world's population and ecosystems vulnerable to climate change. In spite of this, to date, few studies have examined the impacts of climate change on agriculture and the adaptation strategies of vulnerable farmers from emerging semi-arid regions with dualist agriculture, in which subsistence farms coexist with commercial farms. This study aims to assess the micro-level impact of climate change and the farm household adaptation strategies in a semi-arid region in Central Chile. To this end, we develop a modelling framework that allows for (1) the assessment of farm-household responses to both climate change effects and adaptation policy scenarios and (2) the identification of local capacities and adaptation strategies. Aggregated results indicate that climate change has a substantial economic impact on regional agricultural income, while the micro-level analysis shows that small-scale farm households are the most vulnerable group. We observe that household characteristics determine to a large extent the adaptation capacity, while an unexpected result indicates that off-farm labour emerges as a powerful option for adapting to climate change. As such, our approach is well suited for ex ante micro-level adaptation analysis and can thereby provide useful insights to guide smart climate policy-making. [ABSTRACT FROM AUTHOR]

Climate change has been predicted to impact many vulnerable communities in rural regions of developing countries. Meanwhile, social protection programs have been discussed as strategies not only to address the current socioeconomic issues, but also to deal with vulnerabilities related to the capacity of people to cope with climate change. However, limited information remains available on the impacts of those social protection programs to beneficiaries, precluding further insights over the totality of effects due to program participation. In addition, the role of current environmental shocks and climate change over program functioning is far from being understood. Herein we investigate the perceived impacts, according to institutional actors, of a Brazilian food-based safety net program (Food Acquisition Program - PAA) on participating farmers, and the impacts of an extended drought on program functioning. Projections of changes in climate according to global and regionalized models provided in the literature were also used to discuss possible impacts on crops procured by the PAA. Overall, based on the interviews, PAA was perceived as positive with a diversity of effects at farm, household and community levels, while the extreme drought in 2012 impacted the program through the decreased availability of produce and even disruption of services. Changes in climate in the Northeast region will impact key crops procured by the program with possible consequences over all groups of beneficiaries if business stays as usual, requiring ex-ante adaptation over the various levels of program functioning. [ABSTRACT FROM AUTHOR]

Located in the extreme northwest of Africa, the Kingdom of Morocco is increasingly affected by drought. Much of the country is characterised by an arid to semi-arid climate and the demand for water is considerably higher than the supply, particularly on the Haouz Plain in the centre of the country. The expansion of agriculture and tourism, in addition to industrial development and mining, have exacerbated the stress on water supplies resulting in drought. It is therefore necessary to adopt careful management practices to preserve the sustainability of the water resources in this region. The aquifer recharge rate in the piedmont region that links the High Atlas and the Central Haouz Plain was estimated using the chloride mass balance hydrochemical method, which is based on the relationship between the chloride concentrations in groundwater and rainwater. The addition of a geographical information system made it possible to estimate the recharge rate over the whole 400 km of the study area. The results are presented in the form of a map showing the spatialized recharge rate, which ranges from 13 to 100 mm/year and the recharge percentage of the total rainfall varies from 3 to 25 % for the hydrological year 2011-2012. This approach will enable the validation of empirical models covering areas >6200 km, such as the Haouz nappe. [ABSTRACT FROM AUTHOR]

Trophic ecology is essential to understand ecosystem functioning and structure and assist biological conservation. Here we investigate, for the first time, the feeding ecology of Aphanius farsicus, a cyprinodontid fish endemic of a single landlocked river basin in central Iran. We sampled monthly a population of this fish species during a year and examined differences in food across seasons, sexes and sizes. Similarly to other cyprinodonts, A. farsicus showed sexual dimorphism and more abundance of females. Size structure and individual condition varied across seasons, with larger fish in spring and better condition in summer and less in winter. We found no empty guts, suggesting that these fish feed all year round due to the warm climate of its native distribution. Farsi toothcarp diet was based on detritus, algae (particularly diatoms, green algae, and cyanobacteria), and small invertebrates. Seasonal variation in diet was more important than variation due to fish size and the Farsi toothcarp consumed more green algae in spring and early summer and more diatoms and insects the rest of the year. Herbivory was considerable, similarly to a few other cyprinodonts, and increased with fish size, particularly because of higher consumption of green algae. As with species composition in diet, season was more important than size in the variation of number, biovolume, mean size, and diversity of prey captured, with higher number, richness and size of prey captured in summer. The ontogenetic diet shift was less marked in this cyprinodont than in many other Aphanius species, probably due to its reduced size and the resource availability of its habitat, but was also shown by size-dependent feeding selectivity for a few invertebrates. [ABSTRACT FROM AUTHOR]

This study investigated the sensitivity of a dynamic downscaling atmospheric model system coupled with a rainfall-runoff model to hindcast an example of reservoir water management in the semi-arid region of Northeast Brazil (NEB). A regional atmospheric spectral model (RSM) is driven by the outputs of an atmospheric general circulation model (AGCM), itself forced by the observed sea surface temperature over the World Ocean. Daily precipitation simulated by the RSM was then used as the input to a hydrological rainfall-runoff model for the Upper Jaguaribe River Basin to estimate inflows at the Orós Reservoir in the state of Ceará. A hindcast analysis of precipitation was performed during the rainy season over NEB (January to June) from 1971 to 2000. The RSM captured the precipitation variability relatively well when a probability density function (PDF) was used to correct the numerical bias. Three hindcast series of inflow using (i) the observed rainfall, (ii) the simulated rainfall before the PDF correction, and (iii) the simulated rainfall after the PDF correction were performed during the study period and then compared to the series of observed inflow. The atmospheric-rainfall-runoff 'cascade' model efficiency was evaluated by comparing the Orós Reservoir release decisions from different scenarios based on observed, simulated (RSM, RSM-PDF), and mean historical reservoir inflows. The cascade model has the potential, relatively well balanced during dry, normal or wet years, to be a useful tool to correctly forecast the decision managements of reservoirs in the semi-arid region of NEB. Additional progress in the numerical simulation is however necessary to improve the performance. [ABSTRACT FROM AUTHOR]

In semi-arid regions, soil water and nitrogen (N) are generally limiting factors for corn ( Zea mays L.) production; hence, implementation of appropriate N fertilization strategies is needed. The use of precision agriculture practices based on specific site and crop properties may contribute to a better allocation of fertilizer among management zones (MZ). The aim of this study was to develop a model for diagnosis of N availability and recommendation of N fertilizer rates adjusted to MZ for dryland corn crops growing in Haplustolls. The model considered variability between MZ by including site-specific variables [soil available water content at sowing (SAW) and Available Nitrogen (soil available N-NO at planting + applied N, Nd)] using spatial statistical analysis. The study was conducted in Córdoba, Argentina in Haplustolls and consisted in four field trials of N fertilizer (range 0-161 kg N ha) in each MZ. The MZ were selected based on elevation maps analysis. Grain yields varied between MZ and increased with larger SAW and Nd at sowing. Grain responses to Nd and SAW in any MZ were not different between sites, allowing to fit a regional model whose parameters (Nd, Nd, SAW, SAW) contributed significantly ( p < 0.001) to yield prediction. Agronomical and economically optimum N rates varied among MZs. However, the spatial variability of optimum N rates among MZs within sites was not enough to recommend variable N fertilizer rates instead of a uniform rate. Variable N fertilizer rates should be recommended only if variability in SAW and soil N among MZ is greater than that found in this work. [ABSTRACT FROM AUTHOR]

Electrical resistivity survey is conducted in the Khanasser Valley, considered as a semi-arid region in Northern Syria, to guide and control fresh water well drilling. Vertical Electrical Soundings (VES) are carried out near the existing wells, which were also used to measure salinity and conductivity of water samplings. Resistivity and hydrogeological data combination made it possible to establish empirical relationships between earth resistivity, water resistivity, and the amount of total dissolved solids (TDS). These relationships are used in the present research in order to follow the TDS salinity variations, both in lateral and depth directions, along the longitudinal profile LP3, located in Khanasser Valley. Apparent salinity map under this profile is established for Quaternary and Paleogene deposits, and boundaries of suitable areas for fresh water well drilling in the totality of the Khanasser Valley are drawn. It was shown that excessive fresh-water depletion may affect the groundwater quality by upward seepage of saline water. Therefore, it is important to keep the fresh-salt water interface in a stationary situation. The geoelectrical methods widely contribute in determining the position of such interface, and can be easily applied in similar arid areas. [ABSTRACT FROM AUTHOR]

griculture is the primary supplier of food and fibre for humankind and maintaining its sustainability is important. Conventional agriculture (CA) compensates for its unsustainability with external inputs such as fertilisers and pesticides. Organic Agriculture (OA) aims at improving sustainability of the agricultural sector, based on amending soil with organic matter, crop rotation and careful integrated pest management. Mycorrhizae play a major role in the uptake of P and Zn in different crops. It leads to induced resistance against soil-borne and foliar diseases; to improved soil physical characteristics and to better drought and salt stress tolerance, all are important for successful OA in semi-arid conditions. Most of the mycorrhiza-related literature originated from temperate regions. The aims of this review are to highlight the specific potential benefits organically-grown crops can draw from mycorrhizal association under semi-arid conditions; to highlight soil management effects on mycorrhiza under these conditions; to understand the constraints to the use of mycorrhiza in OA under semi-arid conditions and to suggest ways to prevail over these constraints. [ABSTRACT FROM AUTHOR]

Little attention has been paid to how four dominant shrub species distributed in semi-arid areas respond to the combined effects of temperature and water supply. Seedlings of four species were grown in a glasshouse for eight weeks at air temperatures of 12.5/22.5, 15/25, 17.5/27.5, and 20/30°C (night/day) and with water supplies of 37.5, 75, 112.5, and 150 mm per month. When temperatures were 17.5/27.5 and 20/30°C relative growth rate (RGR) decreased for Artemisia ordosica, A. sphaerocephala, and Hedysarum laeve but not for Caragana korshinskii. RGR increased with increasing water availability for all four species and most treatments. In response to changing water availability, the RGR tended to correlate mainly with the physiological trait (net assimilation rate, NAR) and with dry matter allocation traits (below-ground to above-ground dry matter and leaf mass ratio). A higher ratio of below to above-ground dry matter for all four species under most treatments (0.3–1.7) and water-use efficiency (1.4–9.2 g kg−1) may explain how all four species survive drought. Higher temperatures may be harmful to A. ordosica and A. sphaerocephala, under current precipitation levels (average 75 mm per month from mid-June to mid-August). These findings support the proposal that A. ordosica mixed with C. korshinskii will prove optimal for re-vegetation of degraded areas of the Ordos plateau. [ABSTRACT FROM AUTHOR]

Vulnerability maps are important tools for water decision makers and land-use planners for protection of aquifers against contamination. The vulnerability map, according to the parametric method SINTACX for assessing intrinsic aquifer vulnerability, was validated in a case study with chlorofluorocarbon tracer technologies (CFC-11, CFC-12, and CFC-113) of groundwater. The tested area was the 1,295 km2 volcano-sedimentary area of San Miguel de Allende (SMA), Mexico. From the results of this area, it appears that the vulnerability map is in parts inconsistent with the underlying groundwater flow system. Thus, the vulnerability map was corrected with tracer information. The validated vulnerability map indicates that the degree of vulnerability varies from low to moderate-high. Low vulnerability values are found in the graben extending from north to south along the SMA fault system and high values in recharge areas southeast and northwest of the study area. The investigation is a demonstration that the scientific reliability of results of the parametric method can be improved by validation with tracer techniques representing the groundwater dynamics. The flexible structure of SINTACX allows revising and adjusting scores and weights of the parameter maps to rebuild a new vulnerability map consistent with the hydrological system. [ABSTRACT FROM AUTHOR]

The depleted fraction, defined as the ratio ofETactual over total inflow (P+Vc), relates parameters of the water balance of an irrigated area with each other in such a way that the (water) manager obtains information on the rate of change of water stored in the area (soil moisture and groundwater). If the annual average of the depleted fraction equals about 0.6 water storage in the area is stable, while water is stored for lower values of the depleted fraction. If the value of the depleted fraction exceeds about 0.6, the volume of water stored in the area decreases. This decrease is partly due to natural drainage and partly due to capillary rise into the root zone of the irrigated crop. Despite this capillary rise, the actual evapo-transpiration drops below the potentialET-value. For most crops, a decrease ofETby about 25% would result in a higher productivity in terms of yield per cubic meter water. However, the yield per hectare (and thus farm income) would decrease. Management of an irrigation system is recommended in such a way that the monthly values of the depleted fraction range is between 0.5 and 0.8. Such a management rule would provide sufficient water for leaching (at the 0.5 side of the range) and provide high crop yield per unit water consumed (at the 0.8 side). [ABSTRACT FROM AUTHOR]

In the light of progressive depletion of groundwater reservoir and water quality deterioration of the Independence aquifer, an investigation on chemical data of dissolved major and minor constituents in 246 recent groundwater samples was performed. The main objective was the detection of processes responsible for the geochemical evolution and mineralization throughout the area. Multivariate techniques revealed different sources of solutes (a) dissolution of calcium and magnesium carbonate minerals, (b) weathering of acid volcanic minerals, (c) alteration of manganese containing alkaline silicates, (d) leaching of halite deposits of meteoric origin, (e) contamination from agricultural and urban wastewaters, and (f) evaporative effects due to intensive irrigation. Although nitrate contamination is associated with pollution from intensive cultivated areas, natural contamination plays an important role in the study area. The investigation reveals that weathering of acid volcanic rocks (rhyolite) and oxidation of arsenic bearing sulfide minerals are the responsible processes for high fluorine (up to 16 mg/l) and arsenic (up to 0.12 mg/l) contents, respectively, exceeding the Mexican maximum admissible concentration for drinking water. Except for kaolinite, all recharge processes are dissolution oriented (CO2, calcite, dolomite, K-feldspar, plagioclase). Silicate precipitation (amorphous silica and chalcedony) is of growing importance in discharge zones. Cation exchange is not an important issue in the whole study area. [ABSTRACT FROM AUTHOR]