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Agricultural Water Management
Elsevier
Agricultural Water Management

Elsevier

0378-3774

Agricultural Water Management/Journal Agricultural Water ManagementSCIISTPEI
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    Does plastic mulching reduce water footprint in field crops in China? A meta-analysis

    Wang L.Li L.Xie J.Luo Z....
    12页
    查看更多>>摘要：? 2021 Elsevier B.V.Excessive use of water resources is threatening agriculture, other business and populations in China, India and USA, and crop production is expected to play a critical role in the sustainable use of water. In China, plastic mulching is widely employed in crop production, but its impact on agricultural water footprint has not been properly described. A meta-analysis was performed to examine how plastic mulching influences volumetric water availability (VWA), global stress-weighted water footprint per unit of output energy (WFo), and per unit of net economic return in crop production (WFe). Data extracted from 394 published studies in maize (Zea mays L.), wheat (Triticum aestivum L.), and potato (Solanum tuberosum L.) were used in the meta-analysis on crop production at the regional scale and across a range of N fertilization gradients in China. Plastic mulching reduced VWA by 15.3%, 14.1%, and 16.3% in maize, wheat, and potato, respectively, when compared to non-mulching practice, with corresponding reductions of WFo by 33.3%, 28.1%, and 32.1% and of WFe by 14.8%, 31.1%, and 31.0% in maize, wheat, and potato, respectively. Water footprint for crop production increased first and then decreased over the past four decades in China, and was greater in northwest and north central regions of China than in other regions. Under moderate and high N fertilization (>100 kg N ha?1) in dry regions, plastic mulching increased the impact on VWA, thereby reducing WFo and WFe. Water footprint for the production in potato and maize was lower than that in wheat. The meta-analysis demonstrated that plastic mulching practices reduced water footprint while lowering VWA. Therefore, plastic mulching has potential for saving water resource when appropriate growing region and N fertilizer applications are considered.
      原文链接:
    • NSTL
    • Elsevier

    Using multimodal remote sensing data to estimate regional-scale soil moisture content: A case study of Beijing, China

    Cheng M.Jiao X.Liu K.Fan H....
    12页
    查看更多>>摘要：? 2021 Elsevier B.V.An accurate regional estimate of soil moisture content (SMC) is important for water management and drought monitoring. Traditional ground measurement methods of SMC are limited by the disadvantages of high cost and small scale. The development of remote sensing (RS) technology provides a cost-effective tool for estimating SMC at regional scale. However, the estimation of SMC by using the combination of multiple sensors has yet to be thoroughly discussed. Furthermore, the way in which vegetation types, fraction of vegetation coverage (FVC) and soil layer depth affect the SMC-estimation performance remains unclear. Therefore, the objectives in this study are to (1) evaluate the SMC-estimation performance provided by Landsat-8 data and random forest regression (RFR) algorithm; (2) discuss the accuracy of RS-based method for SMC estimation at different soil layer depths, and (3) explore how vegetation types and FVC affect the performance of SMC-estimation. The results can be summarized as: (1) the SMC estimation performance of multispectral (MS)- and thermal infrared (TIR)-based indices single used were comparable, in which TIR-based indices performed better in shallow soil layer while MS-based indices performed better in deep soil layer. Generally, MS- and TIR-based indices jointly used outperformed the index single used. (2) the accuracy of the proposed method for estimating SMC decreased with soil depth. (3) the proposed method performed greatest in grassland with relatively low height among the three vegetation types. Moreover, the SMC estimation in moderate vegetation coverage (FVC ranged from 0.3 to 0.5) was best. These results indicate that RS-based multimodal data combined with RFR could provide relatively repeatable and accurate SMC estimation. This approach can thus be used for the regional SMC monitoring and water resources management.
      原文链接:
    • NSTL
    • Elsevier

    Identifying the status of groundwater drought from a GRACE mascon model perspective across China during 2003–2018

    Wang F.Lai H.Li Y.Feng K....
    15页
    查看更多>>摘要：? 2021 Elsevier B.V.The traditional groundwater drought monitoring method relies on the ground observation data, which is difficult to reflect the large-scale groundwater drought information. Thus, Gravity Recovery and Climate Experiment (GRACE) gravity satellite technology is applied to estimate large-scale groundwater drought condition, which can provide a new data source for drought investigation. However, the dynamic variations of GRACE-based groundwater drought were still unclear across China. In this study, the evolutions of groundwater drought were investigated from a high-resolution GRACE mass concentration (mascon) model perspective. The spatio-temporal variations and gridded trend characteristics of groundwater drought were comprehensively identified across China during 2003–2018. Subsequently, the relationships between groundwater and meteorological drought were quantitatively revealed. The results indicated that: (1) the verification results of GRACE were credible and reliable for groundwater drought evaluation; (2) the most serious groundwater drought occurred in April 2011, with an average groundwater drought index (GDI) value of –0.86; (3) the gridded drought trend characteristic showed that groundwater drought presented an upward trend during 2003–2018; and (4) the propagation dynamics from meteorological to groundwater drought were shorter in summer (5–6 months), and longer in winter (14–15 months) across China. This study sheds new viewpoints into groundwater drought variations from a perspective of high-resolution GRACE mascon model, which can also be applied in other areas.
      原文链接:
    • NSTL
    • Elsevier

    High spatial heterogeneity of water stress levels in Refo?k grapevines cultivated in Classical Karst

    Petruzzellis F.Natale S.Bariviera L.Calderan A....
    15页
    查看更多>>摘要：? 2021 Elsevier B.V.Grapevines are being challenged by climate changes, forcing winemakers to implement irrigation systems to cope with excessive water stress. Previous studies focused on a small set of international varieties, and only few data are available for terroirs hosting cultivars with possibly different responses to drought stress. In this light, we monitored grapevine water status and grape's physical and chemical composition, as well as concentration and structural characteristics of grape extractable polyphenols, in ten different Refo?k vineyards located in the Classical Karst terroir during 2018 and 2019. Grapevines did not suffer severe stress during the two years, but their response to water shortage periods was highly heterogeneous, as pre-dawn (Ψpd) and minimum (Ψmin) leaf water potential significantly differed between vineyards, especially during the drier part of the season. Moreover, the timing of maximum water stress differed in the two years, as in 2019 longer water shortage periods and higher temperature occurred at flowering stage and before veraison, while in 2018 they were higher after veraison. These differences influenced berry's quality, as titratable and malic acid concentration in juice, as well as total anthocyanin, total polyphenols and higher high molecular weight proanthocyanidins (HMWP) concentration in skins, were higher in 2019 than in 2018. Regarding seed proanthocyanidins, HMWP concentration, mean degree of polymerisation (mDP) and percentage of galloylation (G) in seeds were higher in 2018 than in 2019. The differences in water status measured in spatially close-related vineyards strongly support the importance of monitoring grapevines’ water status dynamics to design adequate and effective water management activities rather than relying on climate data solely. Moreover, the timing of water shortage periods also played a role in determining Refo?k grape quality. Our analyses showed that the higher (but still moderate, with Ψpd and Ψmin mean values around ?0.50 and ?1.25 MPa, respectively) water stress between veraison and harvest occurred in 2018 might reduce Refo?k grape acidity and increase concentration, polymerisation and galloylation of seed extractable proanthocyanidins.
      原文链接:
    • NSTL
    • Elsevier

    Can organic carbon and water supplementation sustain soil moisture–carbon balance under long-term plastic mulched semiarid farmland?

    Fang Y.Zhang X.Hou H.Wang H....
    9页
    查看更多>>摘要：? 2021 Elsevier B.V.Plastic mulching (PM) is regarded as a promising way to increase crop production. However, its reported that plastic mulching may decrease soil organic carbon content and been unfavorable for sustainable agricultural production. Confirmation of the effects of plastic mulching on soil water and organic carbon balances in a long term, including finding efficient ways to improve these balances, is crucial for the sustainability of agricultural production in semiarid rain-fed areas. We conducted field experiment (2010–2019), with spring maize and wheat as tested crops, using four treatments of plastic mulching (PM), plastic mulching with supplementary irrigation (PMI), plastic mulching with organic fertilizer application (PMO) and without mulching (CK). The results of this 10-year field experiment showed that PM with supplementary irrigation and organic fertilizer application not only significantly increased yield and Water productivity (WP) of wheat and maize, but also had a positive effect on soil water budget. The soil water budget of PMI, PMO and PM significantly increased by 120.4%, 96.1% and 105.8% in wheat and by 149.7%, 28.2% and 53.6% in maize, compared with CK, respectively. The improved soil water condition resulted in a significant increment of yield, PMI, PMO and PM increased yield by 122.8%, 89.7% and 67.0% for wheat, by 237.8%, 183.0% and 148.4% for maize, respectively, compared with CK. The 10 years of continuous PM significantly decreased soil organic carbon content (SOC) in 0–10, 10–20, 30–50 and 50–70 cm profiles by 22.5%, 19.1%, 15.6% and 15.3% for wheat, but had no significant effect for maize. The PMO significantly increased soil organic carbon content in 0–30 cm profiles for both wheat and maize, but the soil organic carbon budgets were negative for all four treatments, the PMO accelerated soil organic carbon loss for maize but had little effect for wheat compared with PM and CK. However, PMI, PMO and PM significantly increases crop bio-carbon production, resulted in the positive total carbon budget and significantly increased by 25.0, 15.0, 11.5 Mg ha?1 in wheat and 105.1, 74.1, 74.0 Mg ha?1 in maize, respectively, as compared with CK. These results suggested that the soil organic carbon budget differed for the two crops, also affected by water or organic carbon supplementation. A more appropriate crop rotation system with organic fertilizer application should be developed, to increase crop production and soil quality under plastic mulched condition in such semiarid rain-fed areas.
      原文链接:
    • NSTL
    • Elsevier

    Assimilation of SMAP disaggregated soil moisture and Landsat land surface temperature to improve FAO-56 estimates of ET in semi-arid regions

    Amazirh A.Er-Raki S.Chehbouni A.Bouras E.H....
    14页
    查看更多>>摘要：? 2021 Elsevier B.V.Accurate estimation of evapotranspiration (ET) is of crucial importance in water science and hydrological process understanding especially in semi-arid/arid areas since ET represents more than 85% of the total water budget. FAO-56 is one of the widely used formulations to estimate the actual crop evapotranspiration (ETc act) due to its operational nature and since it represents a reasonable compromise between simplicity and accuracy. In this vein, the objective of this paper was to examine the possibility of improving ETc act estimates through remote sensing data assimilation. For this purpose, remotely sensed soil moisture (SM) and Land surface temperature (LST) data were simultaneously assimilated into FAO-dualKc. Surface SM observations were assimilated into the soil evaporation (Es) component through the soil evaporation coefficient, and LST data were assimilated into the actual crop transpiration (Tc act) component through the crop stress coefficient. The LST data were used to estimate the water stress coefficient (Ks) as a proxy of LST (LSTproxy). The FAO-Ks was corrected by assimilating LSTproxy derived from Landsat data based on the variances of predicted errors on Ks estimates from FAO-56 model and thermal-derived Ks. The proposed approach was tested over a semi-arid area in Morocco using first, in situ data collected during 2002–2003 and 2015–2016 wheat growth seasons over two different fields and then, remotely sensed data derived from disaggregated Soil Moisture Active Passive (SMAP) SM and Landsat-LST sensors were used. Assimilating SM data leads to an improvement of the ETc act model prediction: the root mean square error (RMSE) decreased from 0.98 to 0.65 mm/day compared to the classical FAO-dualKc using in situ SM. Moreover, assimilating both in situ SM and LST data provided more accurate results with a RMSE error of 0.55 mm/day. By using SMAP-based SM and Landsat-LST, results also improved in comparison with standard FAO and reached a RMSE of 0.73 mm/day against eddy-covariance ETc act measurements.
      原文链接:
    • NSTL
    • Elsevier

    Assessing water distribution characteristics of a variable-rate irrigation system

    Xue M.Zhuo Y.Guo H.Xu Y....
    16页
    查看更多>>摘要：? 2021 Elsevier B.V.Variable-rate irrigation (VRI) can effectively improve the irrigation efficiency. In this study, we evaluated the two key indicators, irrigation uniformity and accuracy for a three-span center pivot VRI system with the combination of two sprinkler types, i.e., the Nelson D3000 (a fixed spray plate sprinkler, FSPS) and the R3000 (a rotating spray plate sprinkler, RSPS), two sets of irrigation depths designed for four management zones (zones 1–4) of 10, 8, 15, and 20 mm and 10, 15, 20, and 25 mm, and three cycle times (CTs) of the solenoid valve of 30, 45, and 60 s, with constant-rate irrigation (CRI) as a reference. In addition, the radially affected lengths of irrigation depths in zones 1–4 under various VRI treatments were further determined. The radial (mean CUH = 90.8%) and circumferential application uniformity (mean CUH = 95.6%) as well as radial irrigation accuracy (mean NRMSE = 15.3%) of the R3000 were superior to those of D3000 under VRI. The irrigation uniformity and accuracy of each management zone were less impacted by the designed irrigation depth and CT, but more affected by the location of the management zone. The irrigation uniformity and accuracy of VRI were close to those of CRI, indicating that the VRI system tested could guarantee the same application performance as the CRI system. Changing the D3000 sprinklers to R3000 sprinklers in the VRI system effectively reduced the radially affected lengths of management zones. The radially affected lengths of D3000 under various treatments were primarily distributed from 3–6 m, whereas those of R3000 were 0–3 m. Thus, it was recommended to select RSPSs in the design of the center pivot VRI system, and the transition zone and CT in relation to R3000 sprinklers were suggested to be 0–3 m and 60 s, respectively. This research provides the recommendations for better implementation of VRI.
      原文链接:
    • NSTL
    • Elsevier

    Water requirements for oil palm grown on marginal lands: A simulation approach

    Akram H.Levia D.F.Herrick J.E.Lydiasari H....
    11页
    查看更多>>摘要：? 2021 The AuthorsOil palm is one of the most rapidly growing tree crops in the tropics. It is long-lasting and high yielding, serving as an input for a number of profitable industries. The rapid expansion of oil palm has triggered environmental change. Historically, the focus has been on the impact of biodiversity loss. However, the water requirements of oil palm plantations, which traditionally depended on rainfall only, are also changing, partly because environmental concerns are directing oil palm expansion and cultivation into marginal areas. According to some estimates, these lands with cultivable marginal soils— having an acid pyrite layer in the soil profile— comprise about 7.5 million ha in Indonesia. Here, we employed the Agricultural Production Systems sIMulator (APSIM) to simulate the growth of oil palm on marginal lands within Indonesia over an eight year period. APSIM-Oil palm was used to estimate the irrigation water requirement at different stages of plant growth for actual weather and soil conditions. Traditionally, water footprint accounting of oil palm plantations at the field level considers one uniform value of evapotranspiration. Our analysis shows that considering a single value for the entire period of oil palm growth underestimates the water requirement at the field scale. Annual irrigation needs were found to range from 2543 mm to 3865 mm for the plantation ages examined (0-8 years). We approximate that 8800 m3 of blue water and 6200 m3 of green water is required per ton of fresh fruit bunch produced from the study plantation occupying marginal lands, where water requirements were largely governed by maintenance of a high water table. Similarly high volumes are likely to be required where oil palm is cultivated on pyritic soils. Thus, the irrigation water requirement can no longer be neglected as oil palm plantations continue to expand onto marginal soils.
      原文链接:
    • NSTL
    • Elsevier

    High-throughput phenotyping of a large tomato collection under water deficit: Combining UAVs’ remote sensing with conventional leaf-level physiologic and agronomic measurements

    Fullana-Pericas M.Conesa M.A.Gago J.Ribas-Carbo M....
    11页
    查看更多>>摘要：? 2021 The AuthorsField high-throughput phenotyping (HTPP) studies are highly needed to study water use efficiency (WUE), stress tolerance capacities, yield and quality in tomato to improve crop breeding strategies and adapt them to the climatic change scenario. In this study, UAV remote sensing is tested by comparison with leaf-level physiologic and agronomic measurements in a collection including 91 tomato genotypes. These genotypes include long shelf-life (LSL) and non-LSL (CON) Mediterranean landraces, cultivated under well-watered (WW, covering 100% crop evapotranspiration demands) and water deficit (WD, irrigation stopped one month after plantlet transplantation to field) conditions. Aerial remote sensing (including multispectral imaging), leaf gas-exchange, leaf carbon isotope composition (δ13C), fruit production and quality measurements, including total soluble solids and acidity, were performed. Differences between CON and LSL genotypes were observed in leaf-level physiologic and remote sensing measurements under both WW and WD conditions, while for agronomic measurements differences were only found for quality traits under WW conditions. Significant relationships were detected between remote sensing and leaf-level physiologic and agronomic measurements when considering all genotypes and treatments. However, different regressions were described for CON and LSL genotypes, mainly due their different physiologic behavior and response to WD. For instance, for the same NDVI value LSL genotypes showed near 30% lower AN and half gs than CON, and therefore higher intrinsic water use efficiency (WUEi). Also, tomato fruit quality was approached through remote sensing measurements, being correlated with multispectral indices. In conclusion, this study shows how remote sensing can help to optimize tomato physiologic and agronomic phenotyping processes. However, it also points out that the inclusion of genotypes with a different water use efficiency behavior and response to WD lead to a large scattering in the relationships between remote sensing and physiologic and agronomic traits and prevents to obtention of reliable models.
      原文链接:
    • NSTL
    • Elsevier

    Quantifying irrigation water use with remote sensing: Soil water deficit modelling with uncertain soil parameters

    Bretreger D.Yeo I.-Y.Hancock G.
    11页
    查看更多>>摘要：? 2021 Elsevier B.V.Water sharing plans have been implemented to allocate water fairly between irrigated agriculture and other stakeholders. Water accounting is an important feature of successful water management and sharing. Remote regions are often neglected with metering infrastructure and therefore remote sensing is an option for the quantification of irrigation water use. The guides published in FAO Irrigation and Drainage paper No. 56 (FAO56) can provide some information in data poor regions although it has its own limitations without direct observations. This study uses the constellation of Landsat satellites (5–8) to monitor crop conditions via the vegetation index to assess crop growth through a crop coefficient (Kc) based on an actual field condition. This remotely sensed input is then used in soil water deficit modelling based on the FAO56 approach over two fields, an almond plantation and a vineyard, located in South Australia. Soil parameters, such as readily available water (RAW), are taken from in-situ observations and digital soil maps for comparison. The results closely matched metered irrigation time series with only small changes in results when interchanging in-situ soil properties or digital soil maps. Following this an uncertainty analysis using a Monte Carlo approach was performed using the range of parameter values for RAW. A small period of this study (9 months of 2015/16) overlapped with the Sentinel-2a operational period, which was investigated for its improved spatial resolution and differences in spectral band width of key vegetation observation bands. When comparing these results to previous studies, which did not consider soil water deficits, the improvements are substantial (improvements ranged from 3% to 15% monthly and 56% to 68% annually). These improvements require extra data, which has the limitation of comprehensive field data being difficult to obtain and digital soil maps being potentially unreliable. The choice to include soil water deficit modelling or not is dependent on the required accuracy to effectively use the quantified irrigation for the intended use.
      原文链接:
    • NSTL
    • Elsevier