Search Results (84)

The determination of the actual crop water requirement (CWR) today represents an important prerogative for combating climate change. A three-year trial was conducted to ad-dress the need to provide adequate support to processing tomato growers in defining the correct amounts of water to be supplied. In fact, the objective of this work was to calculate the water requirement of processing tomatoes, specifically analyzing their irrigation needs using the CROPWAT 8.0 software and through capacitive and tensiometric probes. Furthermore, for both methods, the tomato yield was evaluated both by supplying 100% of its water requirement and by supplying, through regulated deficit irrigation (RDI), 70% of its water requirement. Subsequently, for each irrigation strategy employed and for each CWR calculation method, the water footprint was calculated by analyzing the blue, green, and grey components. In the years 2022 and 2023, there was an overestimation of CWR of 13.5% for IR100 and 13.94% for IR70, and 14.53% for IR100 and 11.65% for IR70, respectively, while in 2024 there was an underestimation, with values of 9.17% and 5.22% for the IR100 and IR70 treatments compared to the values obtained with the probes. The total WF of tomatoes varied between 33.42 and 51.91 m³ t⁻¹ with the CROPWAT model and between 35.82 and 47.19 m³ t⁻¹ with the probes for IR100, while for RDI70, the values ranged between 38.72 and 59.44 m³ t⁻¹ with the CROPWAT method and between 35.81 and 53.95 m³ t⁻¹ with the probe method. In water-scarce regions, integrating the CROPWAT 8.0 model (enhanced with real-world data) and implementing smart systems can significantly improve water management, refine decision-making processes, and mitigate environmental impacts. This approach directly addresses the urgent need for water security within sustainable agriculture. Full article

The arid and semi-arid regions of Northwest China, as major agricultural production zones, have long faced dual challenges: increasing water resource pressure and severe supply–demand imbalances caused by the expansion of cultivated land. The crop water footprint, an effective indicator for quantifying agricultural water use, plays a crucial role in supporting sustainable development in the region. This study adopted a multi-scale spatiotemporal analysis framework, combining the CROPWAT model with Geographic Information System (GIS) techniques to investigate the spatiotemporal evolution of crop water footprints in Northwest China from 2000 to 2020. The Logarithmic Mean Divisia Index (LMDI) model was used to analyze spatial variations in the driving forces. A multidimensional evaluation system—encompassing structural, economic, ecological, and sustainability dimensions—was established to comprehensively assess agricultural water resource utilization in the region. Results indicated that the crop water footprint in Northwest China followed a “decline-increase-decline” trend, it increased from 90.97 billion m³ in 2000 to a peak of 133.49 billion m³ in 2017, before declining to 129.30 billion m³ in 2020. The center of the crop water footprint gradually shifted northward—from northern Qinghai to southern Inner Mongolia—mainly due to rapid farmland expansion and increasing water consumption in northern areas. Policy and institutional effect, together with economic development effect, were identified as the primary drivers, contributing 49% in total. Although reliance on blue water has decreased, the region continues to experience moderate water pressure, with sustainable use achieved in only half of the study years. Water scarcity remains a pressing concern. This study offers a theoretical basis and policy recommendations to enhance water use efficiency, develop effective management strategies, and promote sustainable water resource utilization in Northwest China. Full article

The agriculture sector is a major contributor to the economy of Alberta, Canada, accounting for almost 2.8% of the total GDP. Considering its importance, implementing efficient and cost-effective irrigation systems is vital for promoting sustainable agriculture in semi-arid regions like Lethbridge County, Alberta, Canada. Although irrigation is primarily carried out using the Oldman River and its allied reservoirs, groundwater pumping becomes a supplementary necessity during periods of limited surface water availability or droughts. This research investigates the potential of renewable energy resources, such as wind and solar energy, to meet the energy requirements for crop irrigation. The study begins by identifying and calculating the water requirements for major crops in Lethbridge County, such as wheat and barley, using the United Nations Food and Agriculture Organization’s CROPWAT 8.0 software. Subsequently, energy calculations were conducted to meet the specific crop water demand through the design of a hybrid energy system using Homer Pro 3.16.2. A technoeconomic analysis of the renewable hybrid system has been carried out to demonstrate the efficiency and novelty of the proposed work. Outcomes revealed that the proposed system is both efficient and economical in fulfilling the crop water requirement through groundwater pumping, promoting sustainable agriculture, and helping to ensure food security in the region. Full article

Climate change has a complex impact on the agricultural crop system, with knowledge of the processes being necessary to assist decisions that guide the adaptation of society to profound structural changes. This study aims to highlight the main changes generated by the modification of climatic parameters (increasing air temperature, humidity and precipitation and decreasing wind speed) on agricultural crops in a region with important changes in its economic profile due to urban extension and land use modification. The analysis methodology is based on the Cropwat software to highlight the temporal variability of crop evapotranspiration, effective rain and water requirements for different crops—strawberry, sunflower and pea—and the possibility of using other types of crops with higher yield and lower water needs. The methodology used highlights this fact, showing that major changes are needed in the choice of crop schemes and future technological processes in the current context of climate change. The current results of the study, conducted over a period of 30 years (1991–2020), showed that the climatic, land use and economic changes in the study area have led to a decrease in evapotranspiration and crop water requirements due to the amounts of precipitation that can provide for the water needs of strawberry, sunflower and pea crops. The irrigation requirements during the analysis period 1991–2020 varied from <10 mm/year to 120 mm/year for strawberry crops, and can exceed 300 mm/year for sunflower and pea crops, having higher values in years with a precipitation deficit (effective rain less than 100 mm). Analyzing the irrigation requirements during the vegetation growing seasons shows that for pea and strawberry the trend is decreasing, but without a significance level. Only for the sunflower crop is an increasing trend recorded in the initial and late stages. The results obtained provide a methodological framework as well as concrete information for decision-makers in the field of agriculture who must build adaptation mechanisms for climate challenges. Full article

Water scarcity, environmental factors, and climate change significantly impact agricultural productivity, making efficient irrigation strategies essential for sustainable crop production. The aim of this study is to determine how different soil types affect the irrigation water requirements of sunflower and wheat. To achieve this aim, the total net irrigation water requirements of sunflower and wheat plants in different soil types in the TR21 Thrace Region (Tekirdağ, Edirne, Kırklareli) during the period 1971–2000 was determined by CROPWAT 8.0. The results reveal that light-textured soils lead to higher irrigation water demand compared to other soil types due to their low water-holding capacity. In the Tekirdağ, Edirne, and Kırklareli provinces, on average, the total net irrigation water requirement for sunflower in three different soil types was 492.1 mm (light), 457.4 mm (medium), and 437.2 mm (heavy), while for wheat it was 342.5 mm (light), 291.0 mm (medium), and 232.9 mm (heavy). It was determined that sunflower required more total net irrigation water than wheat in all three provinces. Total net irrigation water requirement for sunflower decreased by 7.1% in medium-textured soils compared to light-textured soils, by 11.1% in heavy-textured soils compared to light-textured soils, and by 4.3% in heavy-textured soils compared to medium-textured soils in Tekirdağ, Edirne, and Kırklareli provinces. In wheat, the total net irrigation water requirement decreased by 15.0% in medium-textured soils compared to light-textured soils, by 32.0% in heavy-textured soils compared to light-textured soils, and by 20.0% in heavy-textured soils compared to medium-textured soils. Since higher temperatures are observed in Edirne province compared to other provinces, especially during the critical growth periods of sunflower and wheat, the total net irrigation water requirement was found to be higher for both plants. The findings show that climate parameters and soil properties affect agricultural water use, and that soil structure in particular should be taken into consideration when determining irrigation strategies. Full article

Understanding the imbalance between precipitation and crop-water requirements (water deficits) is vital for adaptive water management and ensuring food security. This study examines the water deficits in China’s three main maize-cropping regions—the Northern Spring Maize Region (NS), the Huanghuaihai Summer Maize Region (HS), and the Southwest Mountain Maize Region (SWM). Using meteorological and crop data from 1981 to 2017, effective precipitation, water requirements, and water deficit rates are calculated. The results show that the average water deficit rate across all regions was 33%, with only 15.4% of precipitation meeting maize-water needs. NS had the highest deficits, especially during the jointing–tasseling stage (average: 54%), while HS had the lowest deficits, with sufficient precipitation at 54% of stations. In drought years, water deficits were significant across all regions, with NS experiencing the most severe challenges (average: 63%). Trends indicate declining effective precipitation in NS and SWM, while water requirements in NS have increased. These findings reveal critical regional disparities in the maize-water supply–demand balance and emphasize the need for targeted water management strategies to enhance the resilience of maize production to climate change. Full article

This modeling study evaluates the combined effects of organic fertilization and irrigation regimes on olive productivity and environmental sustainability in southern Italy. Field experiments were conducted in an organic olive grove (cv. Leccino) under Mediterranean conditions, testing four organic fertilization treatments—biochar (BCH), compost (CMP), dried blood (DB), and a commercial organic fertilizer (CTR)—and two irrigation strategies. The CropWat model was employed to simulate additional irrigation scenarios, ranging from full irrigation (Full; 100% ETc) to rainfed conditions. Results showed that biochar-treated olive groves achieved the highest yields (up to 3756 kg ha⁻¹ under full irrigation), outperforming other treatments, with yields of 3191 kg ha⁻¹ (CMP), 2590 kg ha⁻¹ (DB), and 2110 kg ha⁻¹ (CTR). Deficit irrigation strategies, such as ceasing irrigation during the pit-hardening stage (Red_Farm; 1160 m³ ha⁻¹), reduced water use by 67% compared to Full (3600 m³ ha⁻¹) while maintaining satisfactory yields (3070 kg ha⁻¹ vs. 2035 kg ha⁻¹ on average across all fertilization treatments). Water footprint (WFP) analysis revealed that BCH consistently achieved the lowest WFP values (e.g., 1220 m³ t⁻¹ under Full and 687 m³ t⁻¹ under rainfed conditions), outperforming CTR (1605 m³ t⁻¹), CMP (1645 m³ t⁻¹), and DB (1846 m³ t⁻¹) under full irrigation and 810 m³ t⁻¹, 1219 m³ t⁻¹, and 1147 m³ t⁻¹ with no irrigation water supply. Incremental water productivity (IRincr) and marginal water footprint efficiency (WFP_incr) further demonstrated that BCH optimized both productivity and environmental sustainability, with IRincr values of 0.55 kg m⁻³ and WFP_incr values of 1.58 m³ kg⁻¹ (averaged for all water regimes), better than CTR (0.40 kg m⁻³ and 2.14 m³ kg⁻¹), CMP (0.46 kg m⁻³ and 1.93 m³ kg⁻¹), and DB (0.38 kg m⁻³ and 2.32 m³ kg⁻¹). An aggregated scoring system, based on standardized and normalized data, ranked BCH under the Red_Farm irrigation strategy as the most effective management approach, achieving the highest overall score compared to the other fertilizer treatments in combination with the different irrigation strategies, thereby balancing high yields with significant water savings. Full article

Efficient allocation and utilization of water resources are critical for the sustainable development of agriculture in arid regions, particularly those heavily reliant on irrigation. Xinjiang, one of China’s major agricultural regions, faces significant challenges in managing water resources due to its arid climate and dependence on irrigation. This study investigates the spatial–temporal dynamics of crop water footprint (CWF) and its driving factors in Xinjiang. Unlike previous studies on Xinjiang that primarily focus on total water footprint, this research emphasizes the crop blue water footprint (CWFB) to provide a more precise assessment of agricultural water allocation and consumption. Using the CROPWAT 8.0 model, the CWF of 14 prefectures in Xinjiang were analyzed for the period 2000–2020. Focusing primarily on the crop blue water footprint (CWFB), the study employed the Logarithmic Mean Divisia Index (LMDI) model to identify key drivers and their mechanisms. Results reveal that Xinjiang’s average annual CWF is 179.02 Gm³, with CWFB contributing 90.22% and the crop green water footprint (CWFG) accounting for. 10.05%. The CWFB showed an initial increase followed by stabilization, with Southern Xinjiang being the largest contributor, trailed by Northern and Eastern Xinjiang. Among the 14 prefectures, the top seven accounted for 90.46% of CWFB. Cotton, wheat, and maize were the major crops, comprising 47.80%, 23.14%, and 21.45% of the total blue water footprint, respectively. This study identifies the dominant role of economic effect and water use efficiency effect in driving changes in CWFB through its analysis of the driving factors. Understanding the spatial–temporal changes and key drivers of blue water consumption helps regions adjust cropping structures and agricultural water resource allocation patterns to ensure sustainable agricultural development. The findings not only offer valuable implications for policymakers and stakeholders in Xinjiang but also provide references for other arid and semiarid regions facing similar challenges in agricultural water resource management. Full article

The development of water demand analysis methodologies to maintain agricultural crops at an optimal production level, in relation to current climate changes, is a necessity for many geographical areas. The methodology used uses CROPWAT 8.0 software, in the desire to highlight for an important agricultural region in Romania the need to optimize the water requirement for winter wheat crops. The methodology used was able to highlight this fact, as major changes are needed in future technological processes in the current context of climate change. Based on the modeling of evapotranspiration, effective precipitation, and irrigation requirements, it was obtained that the winter wheat needs four additional irrigations per year (in April, May, and July). The irrigations at critical depletion led to a 100% efficiency of reducing the harvest deficit, during the middle and late vegetation stages. The irrigation required by winter wheat depends on precipitation efficiency, and it is very important for improving crop yield up to 100%. The obtained results provide a methodological framework, but also concrete information for decision-makers in the field of agriculture. Full article

The objective of this research is to determine the meteorological drought index and the effective rainfall model that exhibit the highest correlation with the yield of rainfed wheat in the Karkheh watershed. Additionally, using spatial statistics analysis, the trend and status of drought in various parts of the watershed will be identified. This will allow for the determination of suitable areas for rainfed wheat cultivation in the near future. In this research, meteorological drought monitoring was conducted using the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI) drought indices at 34 synoptic stations of the Karkheh watershed in southwestern Iran from 1981 to 2016. Effective precipitation (EPCP) was calculated using four methods, namely the United States bureau of reclamation method (USBR), the simplified version of soil conservation service of the United States department of agriculture method (USDA-SCS simplified), the food and agriculture organization of the United Nations method (FAO), and the CROPWAT version of the USDA-SCS method (USDA-SCS CROPWAT). The correlation between SPI and SPEI and between wheat yield and these indices was performed using Pearson’s correlation coefficient (R) to select the best index for assessing the effects of meteorological droughts on the agricultural sector. The analysis of the drought features showed that the SPEI reported milder and longer droughts in most synoptic stations. The spatial pattern of drought in the Karkheh watershed was determined using spatial statistics methods, and global Moran’s I statistic showed that the drought in the Karkheh watershed had spatial autocorrelation and a clustered pattern with a 99% confidence level. The results of global and local Moran’s I and the Getis-Ord statistic (Gi*) showed that milder droughts prevailed in the northern clusters and more severe droughts in the southern clusters. Also, the correlation between wheat yield and the SPI and SPEI was positive in all stations except for the stations of Kermanshah province and Aqa Jan Bolaghi, which is due to the existence of numerous dams and springs in these areas. Considering the impact of temperature (Tmean) on meteorological drought, it is suggested that in addition to the SPI, the SPEI should also be used to predict droughts in the Karkheh watershed. Full article

The concept of the water footprint (WF) has not adequately explored the combined effects of climate change and salinity. For this aim, the effects of future climate conditions on tomato WF irrigated with moderately saline water (EC = 2.9 dS m⁻¹) were examined, considering an expected increase in salinity reaching 5.9 dS m⁻¹ by 2050. Reference evapotranspiration (ETo), effective rainfall (ER), tomato crop evapotranspiration (ETc), leaching requirement (LR), net irrigation requirement (NIR), and tomato yield were estimated using CropWat and AquaCrop models. The blue (WFBlue), green (WFGreen), gray (WFGray), and total WF (TWF) were calculated. Results showed that ETo, ETc, and ER are expected to increase, while tomato yields will show a slight decrease. NIR is expected to increase depending on climate change scenarios and the increasing salinity of water irrigation. Calculated WF components showed significant increases, which consequently led to an increase in WFT exceeding the Tunisian national and regional levels by 15% and 18% between 2023 and 2050 under two scenarios, RCP4.5 and RCP8.5. The results highlighted the importance of WF for developing adaptation strategies to manage limited water resources, while advanced research on a large scale based on smart assessment tools is required to find best practices for water use reduction. Full article

Expanding projects to reclaim marginal land is the most effective way to reduce land use pressures in densely populated areas, such as Egypt’s Nile Valley and Delta; however, this requires careful, sustainable land use planning. This study assessed the agricultural potential of the El-Dabaa area in the northern region of the Western Desert, Egypt. It focused on assessing land capability, evaluating crop suitability, mapping soil variability, and calculating crop water requirements for twenty different crops. In this work, we evaluated land capability using the modified Storie index model and assessed soil suitability using the land use suitability evaluation tool (LUSET). We also calculated crop water requirements (CWRs) utilizing the FAO-CROPWAT 8.0 model. Additionally, we employed ArcGIS 10.8 to create spatial variability maps of soil properties, land capability classes, and suitability classes. Using a systematic sampling grid, 100 soil profiles were excavated to represent the spatial variability of the soil in the study area, and the physicochemical parameters of the soil samples were analyzed. The results indicated that the study area is primarily characterized by flat to gently sloping surfaces with deep soils. Furthermore, there are no restrictions on soil salinity or alkalinity, no sodicity hazards, and low CaCO₃ levels. On the other hand, the soils in the study area are coarse textured and have low levels of CEC and organic matter (OM), which are the major soil limiting factors. As a result, the land with fair capability (Grade 3) accounted for the vast majority of the study area (87.3%), covering 30599.4 ha. Land with poor capability (Grade 4) accounted for 6.5% of the total area, while non-agricultural land (Grade 5) accounted for less than 1%. These findings revealed that S2 and S3 are the dominant soil suitability classes for all the studied crops, indicating moderate and marginal soil suitabilities. Furthermore, there were only a few soil proportions classified as unsuitable (N class) for fruit crops, maize, and groundnuts. Among the crops studied, barley, wheat, sorghum, alfalfa, olives, citrus, potatoes, onions, tomatoes, sunflowers, safflowers, and soybeans are the most suitable for cultivation in the study area. The reference evapotranspiration (ETo) varied between 2.6 and 5.9 mm day⁻¹, with higher rates observed in the summer months and lower rates in the winter months. Therefore, the increase in summer ETo rates and the decrease in winter ones result in higher CWRs during the summer season and lower ones during the winter season. The CWRs for the crops we studied ranged from 183.9 to 1644.8 mm season⁻¹. These research findings suggest that the study area is suitable for cultivating a variety of crops. Crop production in the study area can be improved by adding organic matter to the soil, choosing drought-resistant crop varieties, employing effective irrigation systems, and implementing proper management practices. This study also provides valuable information for land managers to identify physical constraints and management needs for sustainable crop production. Furthermore, it offers valuable insights to aid investors, farmers, and governments in making informed decisions for agricultural development in the study region and similar arid and semiarid regions worldwide. Full article

This study explores the water consumption and greenhouse gas (GHG) emissions in the Yarkand River Basin, focusing on their dynamic interactions across industrial sectors. Utilizing environmental input–output analysis (IOA), the CROPWAT model, and life cycle assessment (LCA), we quantified the historical evolution of physical and virtual water cycles in relation to the water–carbon nexus. Our findings reveal that the planting industry, particularly the production of export-oriented, water-intensive crops like cotton, significantly contributes to both blue and green water consumption, exacerbating regional water scarcity. The persistent external market demand drives this over-extraction, further strained by the basin’s limited water retention capabilities. Although advancements have been made in reducing the per-unit water footprint of crops, total water consumption continues to rise due to agricultural expansion, intensifying pressure on blue water resources. Additionally, agricultural GHG emissions have surged, driven by increased electricity consumption, heavy fertilizer use, and escalating soil N₂O emissions. In light of these challenges, our research underscores the critical need for integrated resource management strategies that align with sustainable development goals. By promoting efficient water allocation within the agricultural sector and diversifying crop structures downstream, we can enhance ecosystem resilience and reduce environmental degradation. Furthermore, the advancement of value-added agricultural processing and the implementation of innovative water conservation technologies are essential for fostering economic sustainability. These strategies not only mitigate the environmental impacts associated with agricultural practices but also strengthen the region’s adaptive capacity in the face of climate change and fluctuating market demands. Our findings contribute to the broader discourse on sustainable agricultural practices, emphasizing the interconnectedness of water management, climate resilience, and economic viability in arid regions. Full article

The aim of this study is to determine the effect of climate change on reference evapotranspiration (ETo) and sunflower and wheat evapotranspiration (ETs and ETw, respectively) in the Trakya Region of Türkiye. ETo Calculator (version 3.2) and CROPWAT 8.0 were used to compute ETo and ET in the reference period (1970–1990), short- (2016–2025), mid- (2046–2055), and long- (2076–2085) terms. Additionally, ETo was tested in 2012 and ETo was simulated for every 1 °C temperature increase up to 5 °C in the reference period. Calculated ETo and ET values for the future were compared with the reference period. For the future, climate data estimated by RegCM3 Regional Climate Model, A2 scenario were used. While the average ETo value of the reference period was 3.3 mm day⁻¹, it was 3.0 mm day⁻¹ in 2012. Compared to the reference period, ETo values change by −3% (3.2 mm day⁻¹), 9% (3.6 mm day⁻¹), and 21% (4.0 mm day⁻¹) in the short-, mid-, and long-term, respectively. The 575 mm ET deficit calculated during the vegetation period of sunflower in the model reference period was forecasted to change by −11% (514 mm), +15% (660 mm), and +25% (721 mm) in the short-, mid-, and long-term, respectively. For wheat, while 59 mm of excess water was calculated in the reference period, it became 193 mm (+227%) in the short-term and a water deficit of 8 mm (−113%) and 6 mm (−110%) in the mid- and long-term, respectively. In addition, it is estimated that there will be an increase of 0.1 mm day⁻¹ (4%) in ETo values for each 1 °C temperature increase compared to the reference period (1970–1990). It was concluded that climate change in the Trakya Region will not significantly affect wheat farming; however, it will cause a serious water deficit in sunflower production. Full article

Agroecosystems are facing the adverse effects of climate change. This study explored how the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) can give new insight into irrigation allocation and plant health. Leveraging the global coverage and 70-m spatial resolution of the Evaporative Stress Index (ESI) from ECOSTRESS, we processed over 200 overpasses and examined patterns over 3 growing seasons across the Maipo River Basin of Central Chile, which faces exacerbated water stress. We found that ECOSTRESS ESI varies substantially based on the overpass time, with ESI values being systematically higher in the morning and lower in the afternoon. We also compared variations in ESI against spatial patterns in the environment. To that end, we analyzed the vegetation greenness sensed from Landsat 8 and compiled the referential irrigation allocation from Chilean water regulators. Consistently, we found stronger correlations between these variables and ESI in the morning time (than in the afternoon). Based on our findings, we discussed new insights and potential applications of ECOSTRESS ESI in support of improved agricultural monitoring and sustainable water management. Full article