Improved application of the Penman–Monteith model using an enhanced Jarvis model that considers the effects of nitrogen fertilization on canopy resistance

Zhou, Huiping; Kang, Shaozhong; Tong, Ling; Ding, Risheng; Li, Sien; Du, Taisheng

doi:10.1016/j.envexpbot.2018.12.007

Cited by 22 publications

(7 citation statements)

References 67 publications

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“…According to our model, severe N and water deficits cannot support a continued increase in tomato FW and SSc in the future, as plant growth and sugar accumulation in fruits would be limited under such conditions [ 65 ]. It should be noted that the response of stomata and growing leaves to soil N content decreasing from supra-optimal to sufficient to deficient could be biphasic, as a previous study [ 67 ] and the coupled N-CO 2 -Jarvis model shows [ 35 ]. Therefore, in some cases, increases in FW under particular N and water management scenarios in the future could be slightly higher than those observed under the probably sub-optimal N2Wck condition.…”

Section: Discussionmentioning

confidence: 97%

“…In the plant carbon module, the Farquhar model is used to calculate the carbon assimilation by the canopy [ 33 ]. The improved N-CO 2 -Jarvis stomatal conductance model [ 34 , 35 ] was on the one hand used to control the leaf transpiration, and on the other hand it was coupled to the Farquhar model to reflect the effects of weather factors, soil water and N content, and atmospheric CO 2 concentrations on leaf carbohydrate production. Carbohydrates synthesised in the leaf are loaded into the phloem as sucrose, then allocated to the stem, root and fruit.…”

Section: Methodsmentioning

confidence: 99%

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Integrated model simulates bigger, sweeter tomatoes under changing climate under reduced nitrogen and water input

Zhou

Kang

Génard

et al. 2023

Horticulture Research

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When simulating the response of fruit growth and quality to environmental factors and cultivation practices, the interactions between the mother plant and fruit need to be considered as a whole system. Here, we developed the integrative Tomato plant and fruit Growth and Fruit Sugar metabolism (TGFS) model by coupling equations describing the biophysical processes of leaf gas exchange, water transport, carbon allocation, organ growth and fruit sugar metabolism. The model also accounts for effects of soil nitrogen and atmospheric CO2 concentration on gaseous exchange of water and carbon by the leaf. With different nitrogen and water input values, TGFS performed well at simulating the dry mass of the tomato leaf, stem, root, and fruit, and the concentrations of soluble sugar and starch in fruit. TGFS simulations showed that increasing air temperature and CO2 concentration has positive effects on fruit growth, but not on sugar concentrations. Further model-based analyses of cultivation scenarios suggest that, in the context of climate change, decreasing N by 15%-25% and decreasing irrigation by 10%-20% relative to current levels, would increase tomato fresh weight by 27.8%-36.4% while increasing soluble sugar concentration by up to 10%. TGFS provides a promising tool to optimize N and water inputs for sustainable high-quality tomatoes.

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Section: Discussionmentioning

confidence: 97%

Section: Methodsmentioning

confidence: 99%

Integrated model simulates bigger, sweeter tomatoes under changing climate under reduced nitrogen and water input

Zhou

Kang

Génard

et al. 2023

Horticulture Research

Self Cite

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“…The Jarvis type model has an advantage in the flexible parametrization of stress functions to accommodate various vegetation species under different environmental conditions (Pastorello et al, 2020; Yu et al, 2020). Over the past a few decades, studies have been conducted to evaluate the existing stomatal conductance models and, if necessary, propose modified formulations to improve the performance in estimating stomatal conductance and transpiration rate (Misson et al, 2004; Stewart, 1988; Wang et al, 2020; Wu et al, 2021; Zhou et al, 2019). The most common modification is calibrating stress functions of Jarvis model with boundary‐line analysis to improve the description of the physiological behaviour (Wang et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

“…The most common modification is calibrating stress functions of Jarvis model with boundary‐line analysis to improve the description of the physiological behaviour (Wang et al, 2020). For vegetation species with their own distinct stomatal behaviour, it is still necessary to conduct field inventories and experiments to inversely estimate the stomatal conductance (Pastorello et al, 2020; Wang et al, 2020; Zhou et al, 2019). Especially, measured evaporation fluxes together with the meteorological forcing data have been well summarized in database, for example, FLUXNET and SAPFLUXNET (Pastorello et al, 2020; Poyatos et al, 2021).…”

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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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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“…Liao River is the largest river in Liaoning Province. WL is vital ecological green core for eastern Asia birds' migration and for migratory birds' propagation [53]. In 2001, it was listed as a provincial natural protection area.…”

Section: Study Sitementioning

confidence: 99%

Optimized Pan Evaporation by Potential Evapotranspiration for Water Inflow Estimation in Ungauged Inland Plain Lake, China

Yu¹,

Wang²,

Weng³

et al. 2022

Pol. J. Environ. Stud.

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Improved application of the Penman–Monteith model using an enhanced Jarvis model that considers the effects of nitrogen fertilization on canopy resistance

Cited by 22 publications

References 67 publications

Integrated model simulates bigger, sweeter tomatoes under changing climate under reduced nitrogen and water input

Integrated model simulates bigger, sweeter tomatoes under changing climate under reduced nitrogen and water input

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

Optimized Pan Evaporation by Potential Evapotranspiration for Water Inflow Estimation in Ungauged Inland Plain Lake, China

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