Effects of crop growth and development on regional climate: a case study over East Asian monsoon area

Chen, Feng; Xie, Zhenghui

doi:10.1007/s00382-011-1125-y

Cited by 30 publications

(23 citation statements)

References 42 publications

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“…The contribution of agricultural irrigation to other land-atmosphere fluxes, such as momentum fluxes (which are closely related to crop height) and the nitrogen and oxygen fluxes that accompany the NEE, has also been demonstrated by previous studies (Forster and Graf, 1995;Scheer et al, 2008). When vertical fluxes are modified, other atmospheric variables (e.g., air temperature, precipitation, carbon-nitrogen concentration) may vary correspondingly at the local and regional scales and may even be globally changed through atmospheric circulation (Chen and Xie, 2012). Therefore, the quantification of the impacts of irrigation on land-atmospheric fluxes will improve our knowledge of how human disturbances impact the natural water, energy, and carbon cycles and will also contribute to preventing the potential destruction of the environment and resources caused by excessive water irrigation.…”

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confidence: 53%

Seasonal effects of irrigation on land–atmosphere latent heat, sensible heat, and carbon fluxes in semiarid basin

2017

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Abstract. Irrigation, which constitutes ∼ 70 % of the total amount of freshwater consumed by the human population, is significantly impacting land-atmosphere fluxes. In this study, using the improved Community Land Model version 4.5 (CLM4.5) with an active crop model, two high-resolution (∼ 1 km) simulations investigating the effects of irrigation on latent heat (LH), sensible heat (SH), and carbon fluxes (or net ecosystem exchange, NEE) from land to atmosphere in the Heihe River basin in northwestern China were conducted using a high-quality irrigation dataset compiled from 1981 to 2013. The model output and measurements from remote sensing demonstrated the capacity of the developed models to reproduce ecological and hydrological processes. The results revealed that the effects of irrigation on LH and SH are strongest during summer, with a LH increase of ∼ 100 W m −2 and a SH decrease of ∼ 60 W m −2 over intensely irrigated areas. However, the reactions are much weaker during spring and autumn when there is much less irrigation. When the irrigation rate is below 5 mm day −1 , the LH generally increases, whereas the SH decreases with growing irrigation rates. However, when the irrigation threshold is in excess of 5 mm day −1 , there is no accrued effect of irrigation on the LH and SH. Irrigation produces opposite effects to the NEE during spring and summer. During the spring, irrigation yields more discharged carbon from the land to the atmosphere, increasing the NEE value by 0.4-0.8 gC m −2 day −1 , while the summer irrigation favors crop fixing of carbon from atmospheric CO 2 , decreasing the NEE value by ∼ 0.8 gC m −2 day −1 . The repercussions of irrigation on land-atmosphere fluxes are not solely linked to the irrigation amount, and other parameters (especially the temperature) also control the effects of irrigation on LH, SH, and NEE.

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confidence: 53%

Seasonal effects of irrigation on land–atmosphere latent heat, sensible heat, and carbon fluxes in semiarid basin

2017

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“…Some developments have been motivated by improving the carbon and water budget of land surface modelling (Bondeau et al, 2007), others to include croplands in global or regional climate models to better represent their impact on the atmosphere (Lokupitiya et al, 2009;Chen and Xie, 2012;Levis et al, 2012), while others have been motivated to consistently simulate both yield and environmental impacts (Kucharik and Brye, 2003).…”

Section: Introductionmentioning

confidence: 99%

JULES-crop: a parametrisation of crops in the Joint UK Land Environment Simulator

et al. 2015

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Abstract. Studies of climate change impacts on the terrestrial biosphere have been completed without recognition of the integrated nature of the biosphere. Improved assessment of the impacts of climate change on food and water security requires the development and use of models not only representing each component but also their interactions. To meet this requirement the Joint UK Land Environment Simulator (JULES) land surface model has been modified to include a generic parametrisation of annual crops. The new model, JULES-crop, is described and evaluation at global and site levels for the four globally important crops; wheat, soybean, maize and rice. JULES-crop demonstrates skill in simulating the inter-annual variations of yield for maize and soybean at the global and country levels, and for wheat for major spring wheat producing countries. The impact of the new parametrisation, compared to the standard configuration, on the simulation of surface heat fluxes is largely an alteration of the partitioning between latent and sensible heat fluxes during the later part of the growing season. Further evaluation at the site level shows the model captures the seasonality of leaf area index, gross primary production and canopy height better than in the standard JULES. However, this does not lead to an improvement in the simulation of sensible and latent heat fluxes. The performance of JULES-crop from both an Earth system and crop yield model perspective is encouraging. However, more effort is needed to develop the parametrisation of the model for specific applications. Key future model developments identified include the introduction of processes such as irrigation and nitrogen limitation which will enable better representation of the spatial variability in yield.

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“…About 85% of fresh water is being used by agriculture sector from the country's limited ground water resources for irrigation (Alzahrani et al, 2012). Hence, the efficient use of available water resources, knowledge on energy fluxes, evapotranspiration, soil infiltration rates in conjunction with magnitude and variability of agrometeorological information are essential for the determination of crop water requirements and implementation of irrigation schedules (Chen and Xie, 2012;Bezerra et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Seasonal dynamics of surface energy fluxes over a center-pivot irrigated cropland in Saudi Arabia

Madugundu¹,

Al‐Gaadi²,

Tola³

et al. 2017

JEB

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Aim: This study focused on the seasonal dynamics of energy fluxes over selected agro ecosystems (alfalfa and corn crops) to understand the role of energy partitioning in determining the mechanisms controlling the crop water requirement and irrigation schedules. Interpretation: There was contrasting variations in sensible heat and latent heat fluxes across seasons and corresponding to the changing climate and surface conditions of the field. In the case of silage corn, the proportions of partitioned energy to sensible heat (12.4%) and latent heat (18%) were higher than alfalfa. However, during the alfalfa post-harvest practices, the latent heat flux was always less as the available energy was partitioned as sensible heat rather than latent heat flux.

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Effects of crop growth and development on regional climate: a case study over East Asian monsoon area

Cited by 30 publications

References 42 publications

Seasonal effects of irrigation on land–atmosphere latent heat, sensible heat, and carbon fluxes in semiarid basin

Seasonal effects of irrigation on land–atmosphere latent heat, sensible heat, and carbon fluxes in semiarid basin

JULES-crop: a parametrisation of crops in the Joint UK Land Environment Simulator

Seasonal dynamics of surface energy fluxes over a center-pivot irrigated cropland in Saudi Arabia

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