Estimation of maize evapotranspiration in semi-humid regions of northern China using Penman-Monteith model and segmentally optimized Jarvis model

Wu, Zongjun; Cui, Ningbo; Zhao, Lu; Han, Le; Hu, Xiaotao; Cai, Huanjie; Gong, Daozhi; Xing, Liwen; Chen, Xi; Zhu, Bin; Lv, Min; Zhu, Shidan; Liu, Quanshan

doi:10.1016/j.jhydrol.2022.127483

Cited by 22 publications

(11 citation statements)

References 56 publications

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“…which differs from the auto‐calibration approach of the Jarvis model (Pastorello et al, 2020; Wu et al, 2021). The auto‐calibration requires the integration of parameter optimization approaches to find the parameter set that would result in the best‐fitted simulation of transpiration (Bao et al, 2022; Pastorello et al, 2020; Wu et al, 2021; Wu et al, 2022). However, if the objective function solely relies on the likelihood of simulated transpiration rate, the auto‐calibrated stress functions may not accurately express the stomatal response to environmental factors.…”

Section: Discussionmentioning

confidence: 99%

“…Directly implementing a parameter optimization algorithm can be challenging due to the high dimensionality of parameter space, making it difficult to find a unique parameter set. The parameter optimization approach may confront with equifinality phenomenon when searching for a parameter space with 5‐degree‐of‐freedom (Beven & Binley, 2014; Stedinger et al, 2008; Wu et al, 2022). Additionally, optimized parameter sets often yield the best‐fitted results to match transpiration rate, but they may not guarantee a precise description of stomatal response.…”

Section: Discussionmentioning

confidence: 99%

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A modified Jarvis model to improve the expressing of stomatal response in a beech forest

Shao,

Li,

et al. 2023

Hydrological Processes

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The Jarvis‐type model, which incorporates stress functions, is commonly used to describe the physiological behaviour of stomatal response in various vegetation species. However, the model has been criticized for its empirically formulated multiplicative equation, which may not accurately capture the mutual impact of intercorrelated stress factors, for example, vapour pressure deficit (VPD) and air temperature (Ta). This study proposed a modified Jarvis model that introduces reduction factors in the stress functions of VPD and Ta to provide the description of canopy conductance. We used sap flow data from a beech forest in the mid‐latitude region of Centre Europe to inversely estimate the canopy conductance with optimized stress functions. Our findings reveal that two recommended parameterization strategies for general deciduous broadleaf forest (DBF) significantly overestimated the transpiration rate, with a maximum value of ~2 mm/day on rainless days. This suggested that the beech forest exhibited a distinct stomatal response compared to the general DBF category. By applying boundary line analysis to fit the parameters, both the unmodified and modified Jarvis models provided better simulations of transpiration, with relatively high Nash‐Sutcliffe Efficiency (NSE) values of 0.75 and 0.77, respectively. These results indicated that modelling transpiration can be improved by refining the parameterization of canopy conductance, particularly for vegetation species with unique stomatal behaviours that deviated from the characteristics of their general vegetation type. The modified Jarvis model offers a more accurate description of canopy conductance and enhances the modelling of transpiration in vegetated areas, especially under dry environment conditions with relatively high VPD.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A modified Jarvis model to improve the expressing of stomatal response in a beech forest

Shao,

Li,

et al. 2023

Hydrological Processes

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“…> 0.5 mm, 0.5-0.1 mm, and < 0.1 mm, was measured with wet-sieving procedures . Leaf area index at different growing stages was calculated by measuring each leaf area and number of leaves and the planting density (Wu et al, 2022). The maize grain yields in each plot of the treatment were measured after harvesting, threshing, and air-drying of the grains.…”

Section: Field Application Of the Ap And Hcmentioning

confidence: 99%

Recycling food waste to agriculture through hydrothermal carbonization sustains food-energy-water nexus

Xu,

hao,

Chen

et al. 2024

Preprint

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Recycling underutilized resources from food waste (FW) to agriculture through hydrothermal carbonization (HTC) has been proposed to promote a circular economy in food, energy and water nexus. However, most HTC studies on FW have been conducted at laboratory scale, and little is known on efficacy of field application of HTC products from FW, i.e. aqueous product (AP) and solid hydrocharr(HC), to support agriculture production. To address these gaps, an integrated pilot-scale HTC system in this study is established to evaluate the reaction conditions and procedures for the HTC processing of FW. A peak temperature of 180 ℃ at a residence time of 60 minutes with 3 times recirculation of AP are recommended as the condition to achieve effective recovery of nutrients and water resources, and desirable AP and HC properties. Dilution of the raw AP and composting of the fresh HC eliminate potential phytotoxicity. Applying properly diluted AP and the composted HC can significantly improve plant growth and soil nutrient availability with comparable level to commercial fertilizer and soil amendment, respectively, in both greenhouse and field. The HTC treatment yields the most net negative carbon emission among common processing methods of FW and the direct potential profit. The current integrated pilot-scale study demonstrates that the HTC of FW and the agricultural application of its products have promising environmental advantages and economic feasibility.

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“…The Penman-Monteith (PM) model based on the Food and Agriculture Organization (FAO)-56 guidelines has served as a reference method because it produces the most accurate results compared to lysimetric measurements [ 22 , 23 ]. The PM model has been widely used for the estimation of daily or monthly ET 0 in different agro-climatic zones by many researchers for decades [ 22 , 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

Effect of climate change-induced water-deficit stress on long-term rice yield

Chen

Cheng

et al. 2023

PLoS ONE

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The water requirements of crops should be investigated to improve the efficiency of water use in irrigated agriculture. The main objective of the study was to assess the effects of water deficit stress on rice yields throughout the major cropping seasons. We analyzed rice yield data from field experiments in Taiwan over the period 1925–2019 to evaluate the effects of water-deficit stress on the yield of 12 rice cultivars. Weather data, including air temperatures, humidity, wind speed, sunshine duration, and rainfall were used to compute the temporal trends of reference evapotranspiration and crop water status (CWS) during rice growth stages. A negative CWS value indicates that the crop is water deficient, and a smaller value represents a lower water level (greater water-deficit stress) in crop growth. The CWS on rice growth under the initial, crop development, reproductive, and maturity stages declined by 96.9, 58.9, 24.7, and 198.6 mm in the cool cropping season and declined by 63.7, 18.1, 8.6, and 3.8 mm in the warm cropping season during the 95 years. The decreasing trends in the CWSs were used to represent the increases in water-deficit stress. The total yield change related to water-deficit stress on the cultivars from 1925–1944, 1945–1983, and 1996–2019 under the initial, crop development, reproductive, and maturity stages are -56.1 to 37.0, -77.5 to -12.3, 11.2 to 19.8, and -146.4 to 39.1 kg ha-1 in the cool cropping season and -16.5 to 8.2, -12.9 to 8.1, -2.3 to 9.0, and -9.3 to 8.0 in the warm cropping season, respectively. Our results suggest that CWS may be a determining factor for rice to thrive during the developmental stage, but not the reproductive stage. In addition, the effect of water-deficit stress has increasingly affected the growth of rice in recent years.

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Estimation of maize evapotranspiration in semi-humid regions of northern China using Penman-Monteith model and segmentally optimized Jarvis model

Cited by 22 publications

References 56 publications

A modified Jarvis model to improve the expressing of stomatal response in a beech forest

A modified Jarvis model to improve the expressing of stomatal response in a beech forest

Recycling food waste to agriculture through hydrothermal carbonization sustains food-energy-water nexus

Effect of climate change-induced water-deficit stress on long-term rice yield

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