Regional Water Use Research Articles

Produção de coentro sob soluções nutritivas preparadas com águas salobras e densidades de semeio

ABSTRACT The use of brackish water in semi-arid regions is sometimes necessary, as water is the most limiting factor for agricultural production in these regions. The present study was conducted aiming to evaluate the production of bunches of Coriandrum sativum L., cultivar Tabocas, in hydroponic system plants exposed to nutrient solutions prepared with brackish water, obtained by mixing water from a community dam (electrical conductivity of 9.93 dS m-1) with rainwater. The treatments consisted of four values of electrical conductivity of the nutrient solution (1.49, 3.14, 4.87, and 6.44 dS m-1) and three seeding densities (1.0, 1.5, and 2.0 g of seeds per cell), arranged in a completely randomized experimental design in a 4 × 3 factorial scheme, with three replicates. Plant height was not affected up to the electrical conductivity of the nutrient solution of 6.44 dS m-1 with increasing seeding density. The electrical conductivity of the nutrient solution up to 6.44 dS m-1 at the seeding density of 2.0 g of seed per cell did not affect the shoot fresh and dry mass of the hydroponic coriander, mitigating the deleterious effect of salinity on water use efficiency.

Estimation of Irrigation Water Use by Using Irrigation Signals from SMAP Soil Moisture Data

Accurate irrigation water-use data are essential to agricultural water resources management and optimal allocation. The obscuration presented by ground cover in farmland and the subjectivity of irrigation-related decision-making processes mean that effectively identifying regional irrigation water use remains a critical problem to be solved. In view of the advantages of satellite microwave remote sensing in monitoring soil moisture, previous studies have proposed a method for estimating irrigation water use using the satellite microwave remote sensing of soil moisture. However, the method is affected by false irrigation signals from soil moisture increases caused by non-irrigation factors, causing irrigation water use to be overestimated. Therefore, the purpose of this study is to improve the estimation of irrigation water use in drylands by using irrigation signals from SMAP soil moisture data. In this paper, the irrigation water use in Henan Province is estimated by using the irrigation signals from SMAP (soil moisture active and passive) soil moisture data. Firstly, a method for recognizing irrigation signals in soil moisture data obtained by microwave satellite remote sensing was used. Then, an estimation model of the amount of irrigation water (SM2Rainfall model) was built on each data pixel of the satellite microwave remote sensing of soil moisture. Finally, the amount of irrigation water utilized in Henan Province was estimated by combining the irrigation signals and irrigation water-use estimation model, and the results were evaluated. According to the findings, this study improved the estimation accuracy of irrigation water use by using the irrigation signals in Henan Province. The result of this study is of great importance to accurately obtain irrigation water use in the region.

Exploring the spatial structure and impact factors of water use efficiency in China

Improving water use efficiency is an essential strategy in the response to the global water crisis. The assessment of water use efficiency serves as the foundation for improving water use efficiency and water governance. Based on the mixed methods including Super-SBM model, GML index, spatial analysis, and Tobit model, this study assesses the water use efficiency from the scales of regional and provinces in China from 2011 to 2020, explores the evolution characteristics and spatial pattern of water use efficiency, and identifies the impact factors of water use efficiency. The results indicate that regional water use efficiency in China varies significantly by space, the highest in the eastern region with an average value of 0.8052, and the lowest in the central region with an average value of 0.5709. From 2011 to 2020, the average water use efficiency in China is 0.7042, which is in a low efficiency state, and roughly two thirds of the country's provinces use water inefficiently or ineffectively. In addition, regional differences of water use efficiency in China have a tendency of divergence and polarization. The technological progress change is the major factor for promoting water use efficiency. Economic development, water endowment, water use structure, scientific and technological development, and urban development have significant effects on water use efficiency in different regions respectively, while industrial structure and water governance have insignificant effects. This study supports researchers and practitioners in comprehending the characteristics and spatial patterns of water use in China, and also enriches the research system of water governance and integrated water resources management.

Analysis of the Decoupling State and Driving Effects of Economic Development and Production Water Use in Jiangsu Province, China

Identifying the evolutionary patterns and drivers of regional water use is a prerequisite for achieving the strictest water resource management system. This study used the Tapio-LMDI model to analyze the decoupling state and driving factors between economic development and production water use in Jiangsu Province from 2004 to 2020. The results show that: (1) From the evolution of the water use structure, the total water use in Jiangsu Province shows a decreasing trend from 2004 to 2020. Among them, the production water use decreased by 9.59%. From the characteristics of economic development (constant prices), the growth of Jiangsu’s gross regional product (GDP) from 2004 to 2020 reached 363%. (2) In terms of the decoupling status, economic development and production water use in Jiangsu Province underwent a “weak decoupling—strongly decoupling” transition and achieved “strongly decoupling” in 2020, with a decoupling elasticity coefficient of −2.30. (3) From the perspective of the decoupling drivers, the reduction in production effects has contributed to the decoupling between economic growth and water use in Jiangsu Province. By sector, the decline in the water use intensity effect and the industrial structure effect in the primary and secondary sectors were the main reason for the decline in its water use, while the increase in the industrial structure effect and economic scale effect of the tertiary sector has effectively contributed to the increase in water use in the tertiary sector. Therefore, there is an urgent need to improve the water use efficiency of the primary and secondary sectors, accelerate the transformation and upgrading of the tertiary sector, and realize a “strongly decoupling” pattern between economic development and production water use in Jiangsu Province.

Cactus–sorghum intercropping combined with management interventions of planting density, row orientation and nitrogen fertilisation can optimise water use in dry regions

Some strategies can optimise the use of water in crops under deficit, either by increasing yield or by reducing actual crop evapotranspiration (ET), to promote the sustainable intensification of production systems. The objective was to evaluate how the spacing, planting orientation, nitrogen fertilisation and intercropping strategies impact the dynamics of water in the soil, ET partitioning, and water use indicators for forage cactus and cactus–sorghum intercropping. Four experiments were conducted between 2018 and 2020 in the Brazilian semi-arid region. In the first two sites (I and II), the cladodes of the intercropped forage cactus and sorghum were spaced at 0.10, 0.20, 0.30, 0.40 and 0.50 m with rows-oriented east–west and north–south. In site III, the intercropped rows were spaced at 1.00, 1.25, 1.50 and 1.75 m. Site IV, which contained the forage cactus crop exclusively, was treated with four nitrogen levels (50, 150, 300 and 450 kg N ha−1). The management interventions improved water use more by increasing dry matter than by reducing ET in the cropping system. Intercropping promoted the greatest increase in water productivity (130 %). Increasing N doses in the forage cactus-only crop reduced ET by up to 39 % but increased deep drainage losses by up to 365 %. The most promising management practices for optimising water resources were as follows: spacing of 0.10 m between cactus plants in the intercropping trial under east–west row orientation, as it promoted greater water use efficiency (76 %); spacing of 0.30 m in the north–south orientation; and row spacing of 1.50 m, as it improved water productivity (6.89 kg m−3). Thus, interventions in management should be adopted to optimise water use in intercropping systems with forage cactus, aiming at sustainable intensification in dry environments.

Daytime stomatal regulation in mature temperate trees prioritizes stem rehydration at night.

Trees remain sufficiently hydrated during drought by closing stomata and reducing canopy conductance (Gc ) in response to variations in atmospheric water demand and soil water availability. Thresholds that control the reduction of Gc are proposed to optimize hydraulic safety against carbon assimilation efficiency. However, the link between Gc and the ability of stem tissues to rehydrate at night remains unclear. We investigated whether species-specific Gc responses aim to prevent branch embolisms, or enable night-time stem rehydration, which is critical for turgor-dependent growth. For this, we used a unique combination of concurrent dendrometer, sap flow and leaf water potential measurements and collected branch-vulnerability curves of six common European tree species. Species-specific Gc reduction was weakly related to the water potentials at which 50% of branch xylem conductivity is lost (P50 ). Instead, we found a stronger relationship with stem rehydration. Species with a stronger Gc control were less effective at refilling stem-water storage as the soil dries, which appeared related to their xylem architecture. Our findings highlight the importance of stem rehydration for water-use regulation in mature trees, which likely relates to the maintenance of adequate stem turgor. We thus conclude that stem rehydration must complement the widely accepted safety-efficiency stomatal control paradigm.

'I think this is where this lovely word "sustainability" comes in': Fruit and vegetable growers' narratives concerning the regulation of environmental water use for food production.

This article concerns UK commercial fruit and vegetable growers' narratives regarding the sustainability of water use for food production. In it we explore their perspectives on efforts by regulators to limit agricultural withdrawals of water from the natural environment in line with EU Water Framework Directive objectives, alongside their views on retailer sustainability commitments. Discourse analysis is used to investigate how the growers contested restrictive regulation, constructed their identities, portrayed other supply chain stakeholders, and conveyed their social relations with them. Using ErvingGoffman's theory of frontstage and backstage performances, the implications for the growers' water management decisions and their internalisation of sustainability agendas for water are examined. Whilst the growers gave accounts of purposely misrepresenting their water withdrawal practices and their discourse illustrated significant polarisation between environmental and agricultural interests, their underlying commitment to environmental sustainability was ambivalent, with both anti and pro-environmental attitudes expressed. The growers also frequently gave critiques of superficial sustainability in fresh produce supply chains. We argue that, given contemporary shifting definitions of agricultural identities, settings in which their construction is negotiated can provide windows of opportunity for conventional growers to engage in genuine pro-environmental performances that may deepen their assimilation of environmental goals and commitment to sustainable water use.

Climate change impacts on regional agricultural irrigation water use in semi-arid environments

Climate change impacts on regional agricultural irrigation water use in semi-arid environments

Role Of Hydraulic Traits On Stomatal Regulation Of Transpiration Under Different Vapor Pressure Deficits Across Five Mediterranean Tree Crops.

The differential stomatal regulation of transpiration among plant species in response to water deficit is not fully understood, although several hydraulic traits have been reported to influence it. This knowledge gap is partly due to a lack of direct and concomitant experimental data of transpiration, stomatal conductance and hydraulic traits. We measured sap flux density (Js), stomatal conductance (gs) and different hydraulic traits in five crop species. We aim to contribute to establish the causal relationship between water consumption and its regulation using a hydraulic trait-based approach. The results showed that the species-specific regulation of Js by gs was overall coordinated with the functional hydraulic traits analyzed. Especially relevant was the negative and significant relationship found between the Huber value (Hv) and its functional analogue ratio between maximum Js and gs (Jsmax/gsmax) which can be understood as a compensation to maintain the hydraulic supply to the leaves. Hv was also significantly related to the slope of the relationship between gs and Js response to vapor pressure deficit and explained most of its variability, adding up to evidence recognizing Hv as a major trait in plant water relations. Thus, hydraulic basis for the regulation of tree water use should be considered.

Sustainability Consequences of Making Land Change Decisions Based on Current Climatology in the Brazilian Cerrados

Brazil is one of the largest suppliers of commodities in the world, partly due to the agricultural expansion in the Brazilian savannas (also known as Cerrado) that began in the 1970s. However, as areas with better soil and climate for agriculture become scarce, farmers have been advancing to the ecotone between the savanna and xeric shrubland, where precipitation is less reliable for rainfed agriculture. The expected increase in temperature will lead to extended drought periods, with negative consequences for surface and groundwater resources. This study explores the hazards associated with making land-use decisions based on current climatology in regions where projected increases in temperature and reductions in water availability are anticipated to pose significant challenges to rainfed agriculture in the Brazilian Cerrado biome. We modeled future farmland expansion and how that matches with future climate change predictions (2016–2046). According to our estimates, at least 129 thousand km2 of cropland and 418 thousand km2 of pastures will be added in places with projected higher annual temperatures ranging from 26–30 °C. This is equivalent to ~60% of the current agricultural areas, and a novel agro-climatology will emerge for the Cerrado biome. Therefore, we discuss the agro-environmental policies that are pushing and pulling farmland expansion in the Cerrado. For instance, payments for environmental services could support the conservation of native vegetation on private land in regions with the highest temperature increases and deforestation risks. Moreover, in areas with expected reduced water yields, such as in the western Cerrado, the protection of riparian vegetation and strict regulation of water use could mitigate future risks to agriculture.

A New Method for Estimating Irrigation Water Use via Soil Moisture

The ability to obtain an accurate measure of irrigation water use is urgently needed in order to provide further scientific guidance for irrigation practices. This investigation took soil moisture and precipitation as the study objects and quantitatively analyzed their relationship by establishing four models: a linear model, a logarithmic model, a soil water balance model, and a similarity model. The results from building models on every site clearly revealed the relationship between soil moisture and precipitation and confirmed the feasibility of estimating irrigation water use when soil moisture data are known. Four models combined with soil moisture data were used to estimate irrigation water use. First, the 16 sites which monitor soil moisture conditions in Hebi City were identified as study objects, from which everyday meteorological data (temperature, precipitation, atmospheric pressure, wind speed, sunshine duration) and soil moisture data from 2015 to 2020 (totaling six years) were collected. Second, the eligible data from the first four years in the date range were used to create four kinds of models (linear model, logarithmic model, soil water balance model, and similarity model) to estimate the amount of water input to the soil surface based on soil moisture. Third, the eligible data from the last two years in the established date range were used to verify the established models on every site and then judge the accuracy of the models. For example, for site 53990, the RMSE of the linear model, logarithmic model, soil water balance model, and similarity model was 10,547, 10,302, 8619, and 7524, respectively. The results demonstrate that the similarity model proposed in this study can express the quantitative relationship between soil moisture and precipitation more accurately than the other three models. Based on this conclusion, the eligible soil moisture data known in the specific site were ultimately used to estimate the irrigation water use in the field by the relationship expressed in the similarity model. Compared with the amount of irrigation water data recorded, the estimated irrigation water use yielded by the similarity model in this study was 18.11% smaller. In a future study, microwave satellite remote sensing of soil moisture data, such as SMAP and SMOS soil moisture data, will be used to evaluate the performance of estimated regional irrigation water use.

Optimizing the Maize Irrigation Strategy and Yield Prediction under Future Climate Scenarios in the Yellow River Delta

The contradiction between water demand and water supply in the Yellow River Delta restricts the corn yield in the region. It is of great significance to formulate reasonable irrigation strategies to alleviate regional water use and improve corn yield. Based on typical hydrological years (wet year, normal year, and dry year), this study used the coupling model of AquaCrop, the multi-objective genetic algorithm (NSGA-III), and TOPSIS-Entropy established using the Python language to solve the problem, with the objectives of achieving the minimum irrigation water (IW), maximum yield (Y), maximum irrigation water production rate (IWP), and maximum water use efficiency (WUE). TOPSIS-Entropy was then used to make decisions on the Pareto fronts, seeking the best irrigation decision under the multiple objectives. The results show the following: (1) The AquaCrop-OSPy model accurately simulated the maize growth process in the experimental area. The R2 values for canopy coverage (CC) in 2019, 2020, and 2021 were 0.87, 0.90, and 0.92, respectively, and the R2 values for the aboveground biomass (BIO) were 0.97, 0.96, and 0.96. (2) Compared with other irrigation treatments, the rainfall in the test area can meet the water demand of the maize growth period in wet years, and net irrigation can significantly reduce IW and increase Y, IWP, and WUE in normal and dry years. (3) Using LARS-WG (a widely employed stochastic weather generator in agricultural climate impact assessment) to generate future climate scenarios externally resulted in a higher CO2 concentration with increased production and slightly reduced IW demand. (4) Optimizing irrigation strategies is important for allowing decision makers to promote the sustainable utilization of water resources in the study region and increase maize crop yields.

OsαCA1 Affects Photosynthesis, Yield Potential, and Water Use Efficiency in Rice.

Plant growth and crop yield are essentially determined by photosynthesis when considering carbon dioxide (CO2) availability. CO2 diffusion inside a leaf is one of the factors that dictate the CO2 concentrations in chloroplasts. Carbonic anhydrases (CAs) are zinc-containing enzymes that interconvert CO2 and bicarbonate ions (HCO3-), which, consequently, affect CO2 diffusion and thus play a fundamental role in all photosynthetic organisms. Recently, the great progress in the research in this field has immensely contributed to our understanding of the function of the β-type CAs; however, the analysis of α-type CAs in plants is still in its infancy. In this study, we identified and characterized the OsαCA1 gene in rice via the analysis of OsαCAs expression in flag leaves and the subcellular localization of its encoding protein. OsαCA1 encodes an α-type CA, whose protein is located in chloroplasts with a high abundance in photosynthetic tissues, including flag leaves, mature leaves, and panicles. OsαCA1 deficiency caused a significant reduction in assimilation rate, biomass accumulation, and grain yield. The growth and photosynthetic defects of the OsαCA1 mutant were attributable to the restricted CO2 supply at the chloroplast carboxylation sites, which could be partially rescued by the application of an elevated concentration of CO2 but not that of HCO3-. Furthermore, we have provided evidence that OsαCA1 positively regulates water use efficiency (WUE) in rice. In summary, our results reveal that the function of OsαCA1 is integral to rice photosynthesis and yield potential, underscoring the importance of α-type CAs in determining plant physiology and crop yield and providing genetic resources and new ideas for breeding high-yielding rice varieties.

Receiving Robust Analysis of Spatial and Temporary Variation of Agricultural Water Use Efficiency While Considering Environmental Factors: On the Evaluation of Data Envelopment Analysis Technique

With accelerated urbanisation, continued growth in water demand and the external pressure of water demand from the South–North Water Transfer Project, agricultural water use in Jiangsu is facing a critical situation. Therefore, it is important to explore the spatial and temporal variation in agricultural water use efficiency in order to clarify the pathway for improving agricultural water use efficiency. Firstly, the Super-Slacks-Based Measure (SBM) model was utilized to measure agricultural water use efficiency in Jiangsu Province, China, from 2011 to 2020, and secondly, a fixed-effects model was used to investigate agricultural water use efficiency and the factors influencing it in 13 prefectures in Jiangsu Province in both time and space. The results show that (1) the overall value of agricultural water use efficiency in Jiangsu Province is below 1, which means that agricultural water use efficiency in Jiangsu Province is low and far from the effective boundary, and there is more room for improvement in agricultural water use efficiency; (2) a total of 92% of prefectures in Jiangsu Province have input redundancy, which seriously inhibits the progress of agricultural water use efficiency in Jiangsu Province, among which the redundancy of total agricultural machinery power and agricultural water use is the highest; (3) Regarding total factor productivity and its decomposition index for agricultural use in Jiangsu Province, in the time dimension, the number of professional and technical personnel inputs has a positive impact on agricultural water use efficiency. In the spatial dimension, the number of professional and technical personnel inputs, industrial structure and arable land area have a positive impact on improving regional agricultural water use efficiency, among which the industrial structure has a smaller contribution to agricultural water use efficiency.

Night-time light pollution makes flightless crickets more drought resistant

Since the turn of the 20th century, when human street lighting really took off, the nocturnal world has been bathed in light. While this is great for people, the illumination has proved a menace for some creatures, confusing body clocks and sending migratory species off course. And it wasn't clear how nocturnal light pollution might impact the ability of animals to cope with other threats, such as climate change. Knowing that some creatures are capable of adjusting their physiology to survive environmental conditions that would otherwise prove challenging, Alyssa Bonfoey and colleagues from the University of the Pacific, USA, had an ideal animal in mind – the variable field cricket (Gryllus lineaticeps) – to find out how light pollution affects an animal's ability to withstand heatwaves and drought. ‘The adult cricket exists in two forms – some can fly to disperse away from stressful environments while others are flightless, but instead focus on reproduction’, says Zach Stahlschmidt. Together with Bonfoey and Jessica Chen, Stahlschmidt decided to find out how nocturnal light pollution might affect the ability of these crickets to cope with a lack of water and higher temperatures.Illuminating developing crickets during the day with sunlight-simulating bulbs before turning the lights off at night, Bonfoey then switched some of the crickets to dimmer, more orangey lightbulbs at night, similar to dim street lighting, until the crickets developed into adults. Then, she transferred the crickets to individual homes for an additional 5 days as the newly emerged females spontaneously followed one of two different growth patterns: some crickets were unable to fly, ramping up their fertility instead, while other crickets were capable of flight but had poorer fertility. Bonfoey next checked how well both groups of crickets coped with drought when she removed their water supply, in addition to seeing how long the crickets could withstand a brief 45°C heatwave before they toppled over.Surprisingly, crickets that had grown up with nocturnal light pollution were larger and heavier than crickets that had grown up with completely dark nights. Yet, the crickets that had experienced light pollution struggled to deal with the heat, toppling over more swiftly than the crickets that developed in complete nocturnal darkness. However, the nocturnally illuminated flightless crickets were better prepared when drought set in, holding out for 10 days on average before succumbing to dehydration, in contrast to the flight-enabled crickets, some of which could only survive for 2 days without water.So, it seems that nocturnal light pollution is a problem for developing variable field crickets, making it harder for them to withstand heatwaves as adults. However, some of the crickets may be more resilient to other aspects of climate change, as nocturnal light pollution seems to improve the ability of the flightless insects to survive drought. The team suggests that nocturnal light could reduce the effects of hormones that regulate water use, allowing the flightless crickets that grew up with light pollution to better conserve their water stores, making them more able to withstand drought. However, they point out that the flight-enabled crickets have stronger body clocks, which probably makes them less susceptible to the effects of nocturnal light pollution in general.

Foliar Application of Salicylic Acid Mitigates Saline Stress on Physiology, Production, and Post-Harvest Quality of Hydroponic Japanese Cucumber

Salicylic acid (SA) is a phenolic compound capable of inducing physiological and metabolic changes that enhance the tolerance of plants to saline stress associated with using a hydroponic system and enable the use of saline water in semi-arid regions. In this context, this assay aimed to evaluate the impact of the foliar application of SA on mitigating salt stress effects on Japanese cucumber cultivated in a hydroponic system. The experiment was carried out in a protected ambient (greenhouse), using the Nutrient Film Technique—NFT hydroponic system. A completely randomized design was performed in a 4 × 4 split-plot scheme, with four levels of electrical conductivity of the nutrient solution—ECns (2.1, 3.6, 5.1, and 6.6 dS m−1)—considered as plots and four SA concentrations (0, 1.8, 3.6, and 5.4 mM), regarded as subplots, with four replicates and two plants per plot. An increase in the ECns negatively affected the physiology, production components, and post-harvest quality of cucumber. However, the application of SA to leaves at concentrations between 1.4 and 2.0 mM reduced the deleterious effects of saline stress and promoted an increase in the production of and improvement in the post-harvest quality of cucumber fruits.

The effect of sectoral differentiated water tariff adjustment on the water saving from water footprint perspective: A case study of Henan Province in China

Water price reform is an effective way of rationalizing and protecting water resources in areas where water is scarce. This paper first presents a method for measuring water footprint by sector based on the non-competitive input-output technique. Second, this research explores the relationship between water price adjustment and labor compensation, as well as regional water export. Accordingly, this paper constructs a mathematical planning model for differentiated water price adjustment by sector with the objectives of minimum water exports and maximum labor rewards, and conducts a simulation study in the water-scarce Henan Province. The study's findings suggest that: (1) In contrast to direct water use, water consumption in Henan Province is more balanced in terms of water footprint, with the food and tobacco processing industry replacing agriculture as the leading water consumption sector. (2) Sectoral differentiated pricing saves 6.9% more export water resources in Henan Province than uniform sector-wide pricing with the same export GDP loss. (3) At present, the industries in Henan Province that are in urgent need of increased water charges are agriculture, textile industry, Manufacture of leather, Processing of timber and furniture, Manufacture of paper and printing, and Manufacture of chemical products these totals 6 industries. An increase of $1.73, $4.87, $38.55, $51.20, $5.83 and $6.55 per cubic meter in the water price of these six industries can reduce the export water resources of Henan Province by 10.72%. As a result, our findings can be used to optimize water allocation and improve sustainable water use in water-scarce regions.

Effects of postharvest deficit irrigation on sweet cherry (Prunus avium) in five Okanagan Valley, Canada, orchards: II. Phenology, cold hardiness, fruit yield, and quality

Irrigated agriculture in semi-arid regions is expected to increase in the future, which puts greater demands on scarce water resources. Sustainable irrigation strategies in semi-arid regions will support agricultural resilience to climatic change. The response of “Sweetheart”/Mazzard sweet cherry trees ( Prunus avium L.) to postharvest deficit irrigation (PDI), as a water conservation method, was studied over three seasons (2019–2022) in the semi-arid Okanagan Valley of British Columbia, at five commercial orchards. The following irrigation treatments were applied; ( i) a control of full irrigation, irrigated according to conventional growers’ practice at each orchard, ( ii) PDI-30: 27%–33% reduction in irrigation volume, after harvest (67%–73% of control), and ( iii) PDI-50: 47%–52% reduction in irrigation volume, after harvest (48–53% of control). Spring phenology (the timing of flower bud development, from side green to full bloom), flower bud moisture content and cold hardiness, and fruit yield and quality (before and after cold storage and shelf-life conditions) were assessed to determine if PDI altered fruit development over the subsequent growing season. Neither PDI-30 nor PDI-50 caused changes in the timing of flower bud phenology, cold hardiness or moisture content relative to the control. PDI treatments also had no effect on fruit yield or fruit quality at harvest or after storage and shelf-life conditions. These results suggest PDI could be used to reduce irrigation water use in semi-arid regions, like the Okanagan Valley, without affecting sweet cherry production or fruit quality.

Phenology-Based Remote Sensing Assessment of Crop Water Productivity

The assessment of crop water productivity (CWP) is of practical significance for improving regional agricultural water use efficiency and water conservation levels. The remote sensing method is a common method for estimating large scale CWP, and the assessment errors in CWP by remote sensing originate mainly from remote sensing inversion errors in crop yield and evapotranspiration (ET). The phenological period is the important factor in crop ET and yield estimation. The crop coefficient (Kc) and harvest index (HI), which are closely related to different phenological periods, are considered during the processes of crop ET and yield estimation. The crop phenological period is detected from enhanced vegetation index (EVI) curves using Moderate Resolution Imaging Spectroradiometer (MODIS) data and Sentinel-2 data. The crop ET is estimated using the surface–energy balance algorithm for land (SEBAL) model and Penman‒Monteith (P-M) equation, and the crop yield is estimated using the dry matter mass–harvest index method. The CWP is calculated as the ratio of the crop yield to ET during the growing season. The results show that the daily ET and crop yield estimated from remote sensing images are consistent with the measured values. It is found from the variation in daily ET that the peaks appear at the heading period of wheat and maize, which are in good agreement with the rainfall and growth characteristics of the crop. The relationship between crop yield and ET shows a negative parabolic correlation, and that between CWP and crop yield shows a linear correlation. The average CWPs of wheat and maize are 1.60 kg/m3 and 1.39 kg/m3, respectively. The results indicate that the phenology-based remote sensing inversion method has a good effect on the assessment of CWP in Lixin County.

Human resources management as a component of the sustainable development of the water management complex

Effective implementation of environmental policy is important for the sustainable development of the country. Implementation of strategic nature protection tasks is entrusted to relevant organizations. Institutions that regulate water use occupy a special place among them. The functioning of such organizations depends on human resources. The research mechanism for the priority of human resources management factors for employees of the water management complex was developed on the basis of a combination of sociological survey and matrix analysis. The development was tested on the example of the Rivne Interdistrict Water Management. 75% of the administrative and management personnel of the organization were interviewed. The most important thing for employees of the water management organization is the amount of monetary incentives and the timeliness of their payment. Almost all respondents rated them as high as possible on a 5-point scale. For the majority of respondents, social and psychological comfort in the organization is also of great importance. Such components of personnel management as proper working conditions and the possibility of independent choice of vacation time, mutual relations with colleagues and the attitude of the immediate supervisor received a high rating of importance. Interrelated factors such as the possibility of realizing one’s own abilities and the nature of work, opportunities for career and professional growth, and self-regulation of the working time schedule are also significant.