Comparison of Effects of Root Water Uptake Functions for Simulating Surface Water and Heat Fluxes within a Corn Farmland Ecosystem in Northeast China

Cai, Fanfan; Ming, Huiqing; Mi, Na; Xie, Yonghong; Zhang, Yushu

doi:10.1061/(asce)ir.1943-4774.0001206

Cited by 3 publications

(7 citation statements)

References 23 publications

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“…The soil is the typical cambisol soil with pH 6.3. The organic carbon content is 8.83 g/kg, and nitrogen, phosphorus, and potassium contents are 1.04, 0.50 and 22.62 g/kg (Cai et al 2017). The soil bulk density, soil field capacity, and wilting coefficient of the soil moisture for each soil layer to a depth of 50 cm were presented in Table 1.…”

Section: Methodsmentioning

confidence: 99%

Differential responses of maize yield to drought at vegetative and reproductive stages

Mi¹,

Cai²,

Zhang³

et al. 2018

Plant Soil Environ.

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. (2018): Differential responses of maize yield to drought at vegetative and reproductive stages. Plant Soil Environ., 64: 260-267.Determining the effects of progressive drought (PD) on dry matter production, partitioning, and grain yield of maize will help in designing a suitable strategy for water management. Though influences of drought on maize growth and development have been investigated extensively, few of them focused on the effects of different duration and occurrence stage of PD on yield formation of maize. Six variations of PD, in the form of withholding irrigation for varying lengths of time from jointing or tasselling, were tested in the field, using a mobile rain shelter, in terms of their effects on aboveground biomass accumulation, partitioning, and grain yield in 2015-2016. The results showed that grain yield was significantly reduced by PD during either vegetative or reproductive stage, and the reduction in grain yield from reproductive PD (41.6-46.6%) was greater than that from vegetative PD (18.6-26.2%). The decrease in grain yield was largely caused by the decrease in kernels per ear (r 2 = 0.88, P < 0.001). This research implied that guaranteeing water supply for maize during reproductive stage is crucially important to avoid the reduction in kernels per ear and grain yield.

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Section: Methodsmentioning

confidence: 99%

Differential responses of maize yield to drought at vegetative and reproductive stages

Mi¹,

Cai²,

Zhang³

et al. 2018

Plant Soil Environ.

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“…Maize farmland ecosystems have intense human intervention relative to forests, grasslands and other ecosystems. Nevertheless, few explicit conclusions have been drawn with respect to applicability of land surface models over maize farmland ecosystems, and few studies on the RWU process have been conducted [26].…”

Section: Discussionmentioning

confidence: 99%

“…Root distribution and RWU are important components of any RWU parameterization scheme and have been proven to be the key to improving simulation accuracy of land surface models with rational optimization [16,26]. The optimization for root distribution and RWU both increase model performance by improving the vertical distribution of SWC, but the mechanisms used to realize this and the magnitude of improvement in SWC differ.…”

Section: Discussionmentioning

confidence: 99%

“…Equation (10) shows that when the water availability in a certain soil layer is lower than W x , then no water is absorbed by the roots unless the layer is the wettest among the whole root zone. The sensitivity analysis of Cai et al [26] indicated that, for the maize farmland ecosystem, the variation of W x below a value of 0.4 did not impact on model simulation results but model performance was sensitive to W c and decreased with an increase of W c based on a reasonable initial value of 0.4. As a result, we assigned both W c and W x the value of 0.4 in this study.…”

Section: Optimization Methods Of Rwu Functionmentioning

confidence: 99%

“…Inaccurate simulation of LAI and VCF will directly decrease model performance [30] and so we used simulated day-to-day LAI data based on discontinuous observations. More specifically, daily LAI was calculated based on measured LAI at different maize growth periods and daily mean temperature data using the relative effective cumulative temperature method [26]. According to the relationship between LAI and VCF [31], daily LAI values were used to calculate day-to-day VCF values (Figure 2 …”

Section: Lai and Vcfmentioning

confidence: 99%

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Comparison of the Roles of Optimizing Root Distribution and the Water Uptake Function in Simulating Water and Heat Fluxes within a Maize Agroecosystem

Cai

Zhang

Ming

et al. 2018

Water

Self Cite

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Abstract:Roots are an important water transport pathway between soil and plant. Root water uptake (RWU) plays a key role in water and heat exchange between plants and the atmosphere. Inaccurate RWU schemes in land surface models are one crucial reason for decreased model performance. Despite some types of RWU functions being adopted in land surface models, none have been certified as suitable for maize farmland ecosystems. Based on 2007-2009 data observed at the maize agroecosystem field station in Jinzhou, China, the RWU function and root distribution (RD) in the Common Land Model (CoLM) were optimized and the effects of the optimizations on model performance were compared. Results showed that RD parameters calculated with root length density were more practical relative to root biomass in reflecting soil water availability, and they improved the simulation accuracy for water and heat fluxes. The modified RWU function also played a significant role in optimizing the simulation of water and heat fluxes. Similarly, the respective and integrated roles of two optimization schemes in improving CoLM performance were significant during continuous non-precipitation days, especially during the key water requirement period of maize. Notably, the improvements were restrained within a threshold of soil water content, and the optimizations were inoperative outside this threshold. Thus, the optimized RWU function and the revised RD introduced into the CoLM model are applicable for simulation of water and heat fluxes for maize farmland ecosystems in arid areas.

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Evapotranspiration Partitioning Using a Process-Based Model over a Rainfed Maize Farmland in Northeast China

Chen

Schlaepfer

Zhang

et al. 2023

Water

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The Northeast China maize belt is one of the three major golden maize belts in the world and has been severely affected by climate change, however, the evapotranspiration (ET) partitioning is not clear. It is important to study ET and its components under climate change. In this paper, the water balance model SOILWAT2 was used to estimate ET partitioning in drought and humid years, seasons, and maize growth stages from 1989 to 2018 over rainfed maize farmland. The results indicated that the SOILWAT2 model performed well for the prediction of ET and its partitioning compared with eddy covariance measurements. The mean yearly ET, transpiration (T), soil evaporation (Es), and canopy interception evaporation (Int) were 432.3 mm, 197.6 mm, 204.7 mm and 19.2 mm, respectively, over 30 years. Es/ET was 6.3% lower in drought years than in humid years, T/ET was conversely higher (6.2% higher in drought years). There was no clear difference of Int/ET between humid and drought years. In the growing season, T/ET, Es/ET, and Int/ET varied from 40.0% to 75.0%, 22.8% to 55.7%, and 0.7% to 7.0%, respectively. T/ET decreased along with the growth of maize and was greatest at the greening–jointing stage. Es/ET was smallest at the greening–jointing stage. We found a power function relationship between T/ET, Es/ET, and leaf area index (LAI) and above-ground biomass. Our results indicated that for the rainfed farmland, drought may limit maize yield by increasing water loss of maize through increasing T under climate change conditions. Therefore, securing food yield will depend on increases in water-use efficiency and other adaptive strategies, such as drought-resistant varieties, and irrigation.

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Comparison of Effects of Root Water Uptake Functions for Simulating Surface Water and Heat Fluxes within a Corn Farmland Ecosystem in Northeast China

Cited by 3 publications

References 23 publications

Differential responses of maize yield to drought at vegetative and reproductive stages

Differential responses of maize yield to drought at vegetative and reproductive stages

Comparison of the Roles of Optimizing Root Distribution and the Water Uptake Function in Simulating Water and Heat Fluxes within a Maize Agroecosystem

Evapotranspiration Partitioning Using a Process-Based Model over a Rainfed Maize Farmland in Northeast China

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