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農(nóng)業(yè)水資源管理

AGRICULTURAL WATER MANAGEMENT

ISSN：0378-3774
發(fā)文量： 499
影響因子：4.021
JCR分區(qū)：Q1
ISSN：0378-3774
Number of publications: 499
Impact factor： 4.021
JCR partition：Q1

期刊簡(jiǎn)介

該期刊發(fā)表與農(nóng)業(yè)水資源管理的科學(xué)、經(jīng)濟(jì)和政策相關(guān)的具有國(guó)際重要性的論文。在所有情況下，文稿必須涉及農(nóng)業(yè)水資源管理的含義，并提供洞察。

The journal publishes papers of international significance relating to the science, economics, and policy of agricultural water management. In all cases, manuscripts must address implications and provide insight regarding agricultural water management.

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Subsurface drip irrigation mitigated greenhouse gas emission and improved root growth and yield in apple in semi-arid region

AbstractIrrigation is the dominating strategy for achieving high yields and has a direct impact on greenhouse gas (GHG) emissions. As a result, optimizing irrigation methods is crucial for improving apple yield and resilience to drought while also diminishing greenhouse gas emission intensity (GHGI). However, the impact of changes in drip irrigation methods on GHG emissions, apple yield and drought resistance is unclear. We conducted a two-year field experiment to research the effects of surface drip irrigation (DI), subsurface drip irrigation (SDI), and no irrigation (CK) on soil GHG emissions (CH4, CO2, N2O), as well as the regulatory mechanisms of yield and root growth (root length density, diameter) in apple orchards. The results indicated that, compared to DI treatment, SDI treatment significantly (p?<?0.05) increased apple yield by 29.37–37.97?% and augmented root length density in deeper soil layers, especially in the 20–40?cm layer, where root length density increased by 70.0?%. Moreover, in comparison to DI treatment, SDI could decrease the cumulative CO2 emission flux by 5.34–6.53?%, decrease the cumulative N2O emission flux by 14.41–18.51?%, enhance the cumulative CH4 absorption flux by 14.82–26.51?%, and considerably (p?<?0.05) lower GHGI by 29.41–31.58?%. The correlation analysis results indicated a positive association between soil moisture and GHG emissions, with the most significant impact noted in the surface soil layer (0–20?cm). In contrast, increased soil moisture at depths of 40–80?cm was found to inhibit apple root length density. In summary, SDI can enhance apple yield, foster deep root development, and reduce GHG emissions. The research findings offer empirical evidence for the sustainable growth and ecological preservation of the apple industry.

引用量：0發(fā)表時(shí)間：2025年
Variation and simulation of tomato transpiration in a greenhouse under different ventilation modes

AbstractGreenhouse ventilation is a critical factor in regulating internal microclimates, ensuring optimal crop growth, and improving water use efficiency in facility agriculture. However, the semi-enclosed nature of greenhouses poses challenges for accurately modeling crop water consumption, primarily due to uncertainties in parameter estimation for widely used models such as the Penman-Monteith (P-M) model. To address these challenges, this study refines the P-M model by incorporating resistance parameters specifically tailored to greenhouse convection regimes. Field experiments were conducted at the Xinxiang Integrated Experimental Base of the Chinese Academy of Agricultural Sciences in northern China from March to July in 2020 and 2021. Drip-irrigated tomatoes were grown under natural sunlight with two ventilation treatments: T1 (top window open) and T2 (top and south windows open). Meteorological conditions inside the greenhouse and water consumption indicators were analyzed to improve the Penman-Monteith (P-M) model’s resistance parameters (canopy resistance, rc and aerodynamic resistance, ra). Results showed that ventilation significantly influenced water consumption across growth stages, with the highest water consumption intensity observed during the fruit enlargement stage (3.39?mm d?1). rc and ra were significantly lower under T2, with forced convection dominating in both cases. The improved P-M model demonstrated high predictive accuracy, underestimating transpiration by 2.15?% for T1 and overestimating by 6.26?% for T2. These findings provide a robust framework for optimizing greenhouse ventilation strategies, enabling precise modeling of crop water consumption and enhancing resource utilization in facility agriculture.

引用量：0發(fā)表時(shí)間：2025年
Ensuring irrigation water availability for off-season vegetable production in the face of competition from rural domestic water supplies in the commune of Lalo (Benin)

AbstractDuring the dry season in West Africa, balancing agricultural and domestic water needs becomes increasingly challenging due to the depletion of water resources, underscoring the urgency for sustainable water resource management strategies. This study, conducted at the Tovinou site in Lalo, Benin, evaluates borehole productivity, irrigation water availability, crop water requirements, and irrigation scheduling to optimise groundwater use for off-season agriculture. Integrating agronomic, climatic, hydrogeological, demographic, and water consumption data, the proposed irrigation plan allocates 24?% of the area to drip irrigation and 76?% to micro-sprinkler systems. Results show that a borehole operating at 85 % of its flow capacity (21.6?m3/h), effectively meets peak water demand in January, estimated at 5639.2?m3 (181.9?m3/d), with 15 % of the borehole flow allocated to domestic water supply. Rotational watering ensures crop water requirements are met, with irrigation durations ranging from 46 to 152?min for drip irrigation and from 37 to 440?min for micro-sprinkler irrigation, depending on growth stage and season. By balancing agricultural needs with domestic water demands, this study ensures a sustainable solution for both sectors. The proposed framework is scalable and has the potential to support off-season vegetable production while addressing increasing water demands in rural West Africa.

引用量：0發(fā)表時(shí)間：2025年
A stomatal optimization model integrating leaf stomata-photosynthetic capacity regulation in response to soil water stress

AbstractLeaf stomatal regulation of water-carbon exchange processes plays a crucial role in the water-carbon cycle. Uncovering the response mechanism of leaf gas exchange to soil water stress is challenging due to the complex effects of both the stomatal regulation (i.e., stomatal conductance, gsgs) and non-stomatal regulation (i.e., photosynthetic carboxylation capacity, Vcmax25Vcmax25). Different from previous studies that achieved stomatal and non-stomatal regulation in stomatal optimization models by linearly simplifying or independently optimizing Vcmax25Vcmax25, this study hypothesizes that Vcmax25Vcmax25 and gsgs are co-regulated by balancing intercellular CO?CO? concentration (CiCi). By adjusting stomatal opening to minimize water-carbon cost, a stomatal optimization model (SRSC model) that integrates the synergistic regulation of gsgs and Vcmax25Vcmax25 was developed. Experimental and numerical results show that the SRSC model accurately reproduces the stomatal response to environmental changes, especially for the low soil water potential conditions (Ψsoil<?2MPa)(Ψsoil<?2MPa) compared to the previous models, which increased the R2R2 of gsgs, photosynthetic rate (AnAn), and CiCi reaching 2.56?%, 1.97?%, and 9.04?%, respectively. Additionally, the SRSC model reasonably predicted a coordinated decline in gsgs and Vcmax25Vcmax25 and concurrently mitigated the classical models that simulate gsgs and leaf water potential responses deviating from the actual values under drought conditions. More importantly, the SRSC model revealed that experiencing drought and flooding stresses in rice improved intrinsic water use efficiency by increasing photosynthetic capacity. This study refines the application of the stomatal optimization model and enhances the mechanistic understanding of the stomatal optimization model to a certain extent.

引用量：0發(fā)表時(shí)間：2025年
Spatio-temporal patterns and drivers of irrigation water requirement in mainland China

AbstractAs a major agricultural country, China’s grain production relies heavily on irrigation. Given the impacts of climate change and human activities, accurately quantifying changes in irrigation water requirements for staple grains (rice, wheat, and maize) and identifying the key drivers behind these changes are critical for effective water resource management and food security. This study integrated meteorological, hydrological, and land use data, crop growth profiles, and agricultural statistics to estimate irrigation water requirements in mainland China. The spatio-temporal variations in the total irrigation water requirement (total IWR) for staple grains were analyzed at both national and provincial scales from 1980 to 2020, and the drivers of these changes were identified. At the national scale, we found that both total IWR and planting area have significantly increased by 5.60 million m3?yr?1 and 405.32 thousand hm2 yr?1, respectively. The center of gravity of total IWR has shifted towards water-scarce regions in the north, as the planting area expanded northward. At the provincial scale, total IWR and planting area were the highest in the north and lowest in the northwest, and both have been witnessed significantly increase in the north, especially in the northeast. Moreover, the variation in total IWR was primarily driven by the planting area, followed by climate change and crop planting structure. This study clarifies the dynamics of irrigation water requirement for China’s staple grains and provides valuable guidance for sustainable agricultural development.

引用量：0發(fā)表時(shí)間：2025年
An LSTM approach to deciphering irrigation operations from remote sensing and groundwater levels records

AbstractAgricultural irrigation, the largest consumptive water user, significantly impacts terrestrial energy and water cycle, atmospheric boundary layer and the sustainability of water resources management. However, irrigation records usually lack the necessary detail in terms of amount, location, time and source with adequate spatial and temporal resolution that are required for understanding farmers’ irrigation behavior and representing irrigation in hydrologic models. This study addresses the irrigation scheduling gap by leveraging in situ groundwater level records of index wells and multi-source remote sensing observations. We used a Bi-directional Long Short-Term Memory (LSTM) network to capture the temporal relationship between groundwater fluctuations and land surface responses to irrigation. We trained the LSTM model to detect irrigation events based on groundwater level changes in the High Plains region of Nebraska and Kansas from 2001 to 2020. Using Integrated Gradients, an Explainable AI (XAI) technique, we identified that precipitation, MODIS evapotranspiration (ET), and Near-Infrared NIR reflectance are critical factors in detecting irrigation, with antecedent rainfall reducing irrigation likelihood. This framework enables allocation of long-term irrigation amounts to individual events, allows hydrologic models to assimilate irrigation dataset to assess irrigation impacts, and improves irrigation behavior representation in water resources management.

引用量：0發(fā)表時(shí)間：2025年
Water utilization strategy of tomato grown on east-west orientation in solar greenhouses revealed based on hydroxide isotopes

AbstractEast-west orientation is a strategy that significantly enhances mechanization level within solar greenhouse (SG). However, this orientation alters environmental parameter distribution, affecting soil water use in tomatoes. Hydrogen and oxygen isotopes (δ18O) is a stable isotope measurement for oxygen used to trace water movement, this research through δ18O to explored the dynamics of water movement across the environment, soil, and tomato under east-west orientation. Four ridges (R1, R2, R3, and R4) were arranged from south to north, to investigate the varying water utilization strategies of tomatoes across these ridges. Photosynthetically active radiation (PAR) is effective for plant photosynthesis. Crop evapotranspiration under standard conditions (ETc) refers to the amount of evapotranspiration to achieve full production under ideal conditions. The findings indicated that PAR was the primary influencing water utilization among various ridges, with the coefficient of variation in autumn and spring recorded at 57.19?% and 42.02?%, respectively. Path analysis revealed PAR as a critical determinant of ETc, with direct path coefficients of 0.866 and 0.567. Through the use of δ18O tracing, it was established that the main soil water supply layer of R1 and R4 ridges with low cumulative PAR was 0–20?cm, and soil water contribution rate was 47.3–82.5?%. Conversely, R2 and R3 ridges which get higher cumulative PAR, the main soil water supply layer was 0–40?cm, with a soil water contribution rate between 57.5～69.8?%. These findings suggest that a tailored irrigation control method can be devised for east-west orientation, catering to the diverse growth requirements of tomato.

引用量：0發(fā)表時(shí)間：2025年
Impacts of wastewater irrigation on Mediterranean soil and food: A three-year case study in Italy

AbstractWater supply for irrigation is a limiting factor for agriculture in Mediterranean countries. A strategy for increasing water availability proposes to use low quality water for irrigation to avoid irrigation with precious and high cost potable water. A drawback about using waste water is the potential heavy metal accumulation in soil and foodstuff. In this study, primary or secondary treated municipal wastewater went through supplementary cleaning steps with a low-cost device and was used to irrigate tomatoes and potatoes in an experimental field in Italy. We monitored heavy metals in soil, food and processed food during three years. We measured no accumulation neither in soil, nor in food after this period. Variations of metal concentrations in soil and food were mainly due to common farm practices such as fertilisation and pesticide applications. This study demonstrates that irrigation with wastewater is achievable with a low-cost treatment device that can be used elsewhere to decrease pressure on water resources.

引用量：0發(fā)表時(shí)間：2025年
Evaluation of crop and pond-deepening adaptations to climate change in saline coastal Bangladesh: Benefit-cost and risk analysis

AbstractThis study estimates the irrigation water requirement and irrigation water productivity (IWP) of dry-season crops across various sowing dates, and assesses the economic viability of different potential adaptation options. Our findings indicate that current farming practices require 25–48?% more irrigation water for non-rice grain crops, while optimal approaches and government recommendations (BARI/BRRI) lead to more efficient water utilization. IWP of potential DS crops following optimum sowing increased by 89–433?% under the current conditions and by 28–158?% under future conditions, compared to farmers’ practices. Notably, achieving a higher grain yield per hectare does not always correspond to higher economic returns from the limited freshwater supply across crops. Our cost-benefit analysis (BCA) reveals a positive net present value (NPV, ranging from BDT 23,750–91,167) and favourable cost-benefit ratios (BCR > 1, ranging from 2.4 to 5.6 BDT over a seven-year period) for investments in deepening home-yard ponds for aquaculture and dry-season cropping across various sowing and transplanting options across farm types. Risk analysis results have confirmed that in the 80th percentile, every BDT spent on pond deepening for aquaculture and rice and non-rice dry-season crop cultivation returns between 2.8 and 9.8 BDT across farm types. We recommend diversifying crops using the optimal sowing/transplanting options, alongside enhancing on-farm water storage since the optimal sowing option efficiently uses scarce freshwater and consistently performs better, and as a result, it has a more suitable window for sowing crops in saline coastal soil. This approach ensures increased farm income and mitigates risks associated with environmental stress challenges.

引用量：0發(fā)表時(shí)間：2025年
Surface water and flood-based agricultural systems: Mapping and modelling long-term variability in the Senegal river floodplain

AbstractIn the alluvial plains of large rivers, annual flooding is essential for numerous ecosystem services, including flood-based agriculture, biodiversity and groundwater recharge. Remote sensing provides increased opportunities to monitor surface water dynamics across large floodplains that are currently poorly captured by local hydrological monitoring and modelling due to data scarcity and the flat, heterogeneous topography. Combining the advances in earth observations with hydrological modelling and extensive in situ fieldwork, this research seeks to improve our understanding of surface water dynamics and associated agricultural practices in the Senegal river floodplain. 2813 mosaics from Landsat, MODIS and Sentinel-2 earth observations are created to map and monitor surface water variations using a site specific MNDWI classification adapted to complex, wetland environments. Validated against ground truth data, the approach is upscaled using cloud computing across this 2250 km2 floodplain over 1999–2022. Statistical regression models are then developed to estimate flooded and cultivated areas based on upstream flow values since 1950 and analyse trends and exceedance probabilities over time. Results reveal extreme interannual variations in peak flooded areas, ranging from 30,000 ha and 720,000 ha between 1950 and 2022, while annual water modules fluctuate between 210 and 1460 m3/s. After 1994, flooded areas show partial recovery, with 95th percentile reaching 89,000 ha during 1994–2022 compared to 37,000 ha in 1972–1993. Flood-based agricultural practices cover between 13,000 ha and 133,000 ha over the same period, highlighting the pronounced variability faced by local rural communities. Occurrence maps and predictive models for annual flooded and cultivated areas based on upstream flows can support early warning tools, helping to prepare for extreme floods and droughts. These outputs are crucial to assess the impact of future climatic and anthropic changes in the region, including planned dams, on the amplitude of annual floods and their associated environmental benefits.

引用量：0發(fā)表時(shí)間：2025年

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