Development and critical evaluation of a generic 2-D agro-hydrological model (SMCR_N) for the responses of crop yield and nitrogen composition to nitrogen fertilizer

Zhang, Kefeng; Yang, Dejun; Greenwood, D. J.; Rahn, Clive; Thorup‐Kristensen, Kristian

doi:10.1016/j.agee.2009.03.011

Cited by 25 publications

(21 citation statements)

References 47 publications

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“…For example, Bechini et al (2006) carried out experiments in northern Italy from 1986 to 2001 to quantify the dynamics of aboveground biomass, plant N concentration, and N uptake and used the measurements for testing the CropSyst model. Other similar studies can be found in a large body of literature (Groot and Verberne, 1991;Li et al, 2009;Zhang et al, 2009;Biernath et al, 2011).…”

Section: Introductionsupporting

confidence: 72%

Modeling Root Growth, Crop Growth and N Uptake of Winter Wheat Based on SWMS_2D: Model and Validation

Yang

Bian

Zhang

et al. 2017

Rev. Bras. Ciênc. Solo

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How to cite: Yang D, Bian Z, Zhang K, Xiong J, Lei S. Modeling root growth, crop growth and n uptake of winter wheat based on SWMS_2D: model and validation. Rev Bras Cienc Solo. 2017;41:e0150064. ABSTRACT: Simulations for root growth, crop growth, and N uptake in agro-hydrological models are of significant concern to researchers. SWMS_2D is one of the most widely used physical hydrologically related models. This model solves equations that govern soil-water movement by the finite element method, and has a public access source code. Incorporating key agricultural components into the SWMS_2D model is of practical importance, especially for modeling some critical cereal crops such as winter wheat. We added root growth, crop growth, and N uptake modules into SWMS_2D. The root growth model had two sub-models, one for root penetration and the other for root length distribution. The crop growth model used was adapted from EU-ROTATE_N, linked to the N uptake model. Soil-water limitation, nitrogen limitation, and temperature effects were all considered in dry-weight modeling. Field experiments for winter wheat in Bouwing, the Netherlands, in 1983-1984 were selected for validation. Good agreements were achieved between simulations and measurements, including soil water content at different depths, normalized root length distribution, dry weight and nitrogen uptake. This indicated that the proposed new modules used in the SWMS_2D model are robust and reliable. In the future, more rigorous validation should be carried out, ideally under 2D situations, and attention should be paid to improve some modules, including the module simulating soil N mineralization.

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Section: Introductionsupporting

confidence: 72%

Modeling Root Growth, Crop Growth and N Uptake of Winter Wheat Based on SWMS_2D: Model and Validation

Yang

Bian

Zhang

et al. 2017

Rev. Bras. Ciênc. Solo

Self Cite

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“…In this case, regarding the mineralization "large" set, sites with soil pH around neutral or slightly alkaline would have high (near one) membership values (Figure 5d). Nitrogen mineralization is a rather complex process concerning various inaccuracies stemming from soil characteristics and is usually quantified through deterministic models [21,22]. In the present study, the fuzzification scheme used allows a more structured way of dealing with such uncertainties through the partial inclusion (membership) in one or more linguistic sets.…”

Section: Resultsmentioning

confidence: 99%

GIS Modelling for Site-Specific Nitrogen Fertilization towards Soil Sustainability

2015

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Farmers need to make decisions that in most cases incorporate the concept of prediction and can hardly be revoked. One such decision is the application of fertilizing inputs. During past crop management and decision-making on fertilizing practices, many significant errors have been recorded, which have led and continue to lead to reduced production and environmental burden. The methodology followed in this paper involves the use of GIS, fuzzy logic and expert knowledge, in order to model physical processes associated with nitrogen balance in cultivated ecosystems and to evaluate the capabilities of or limitations on the use of certain fertilizers, based on spatial criteria. An original spatial decision support system was designed, developed and applied in a given study area. The system is composed of two modules ("fertilizing rate" and "fertilizing type"), making use of soil, climate and cultivation practices' data, as recorded in the area of interest in quantitative or categorical form. The results of the application spatially classify the involved area according to its demand for nitrogen on the basis of the characteristics of each sub-region. The "fertilizing rate" module suggests reduced fertilizing doses of nitrogenous fertilizers compared to those already applied in the area. The system further divides the area into zones where specific types of fertilizers should be applied, giving a certain prescription for the method and time of application. OPEN ACCESSSustainability 2015, 7 6685

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“…with the soil and atmosphere. Recently, soil models linked to crop models have been developed to simulate the dynamics of element fluxes in soils (Keating et al 2003;Zhang et al 2009). While useful for agricultural management, these models focus on the photosynthesis of the main crop and on soil-plant relationships and ignore biological interactions between plants (including weeds) and between plants, animals, and microorganisms living in agroecosystems.…”

Section: From Plant-based Models To Agroecosystem Modelsmentioning

confidence: 99%

Food web-based simulation for agroecology

Tixier

Duyck

Côte

et al. 2013

Agron. Sustain. Dev.

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Ecosystems are increasingly manipulated for agricultural and conservation goals. Ecosystem functions need to be sustained socially and ecologically. New frameworks must be built to simulate agrosystems based on ecological processes instead of external chemicals. Food web structures of agrosystems highly influence their agronomical performance and stability. Although it has been observed that living communities are ruling the performance of agroecosystems, these living communities are generally ignored by agronomists who focused mainly on abiotic factors. Indeed, agronomists usually focus on the soil-plant-atmosphere continuum. Now, ecological modellers can link food web models with soil-plant models to create innovative frameworks. Here, we advocate that food webs must be included in simulations of production and in studies of emerging properties. We emphasize the role of trophic chains in the regulation of pests. Emerging properties include aboveground and belowground interactions, pest control, and positive feedbacks on soil properties. We propose a conceptual structure for this framework and discuss how the structure of linked food web/cropping system models can account for the specific properties of agroecosystems. The proposed structure includes a process-based approach to link food webs with crop models. Such comprehensive models address the issue of trade-offs between ecosystem services, including regulation of crop pests by the ecosystem community, nutrient cycling, and crop production. (Résumé d'auteur

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Development and critical evaluation of a generic 2-D agro-hydrological model (SMCR_N) for the responses of crop yield and nitrogen composition to nitrogen fertilizer

Cited by 25 publications

References 47 publications

Modeling Root Growth, Crop Growth and N Uptake of Winter Wheat Based on SWMS_2D: Model and Validation

Modeling Root Growth, Crop Growth and N Uptake of Winter Wheat Based on SWMS_2D: Model and Validation

GIS Modelling for Site-Specific Nitrogen Fertilization towards Soil Sustainability

Food web-based simulation for agroecology

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