Letteratura scientifica selezionata sul tema "Modèle sol-culture STICS"
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Tesi sul tema "Modèle sol-culture STICS"
Varella, Hubert Vincent. "Inversion d’un modèle de culture pour estimer spatialement les propriétés des sols et améliorer la prédiction de variables agro-environnementales". Thesis, Avignon, 2009. http://www.theses.fr/2009AVIG0638/document.
Testo completoDynamic crop models are very useful to predict the behavior of crops in their environment and are widely used in a lot of agro-environmental work. These models have many parameters and their spatial application require a good knowledge of these parameters,especially of the soil parameters. These parameters can be estimated from soil analysis at different points but this is very costly and requires a lot of experimental work. Nevertheless,observations on crops provided by new techniques like remote sensing or yield monitoring, is a possibility for estimating soil parameters through the inversion of crop models. In my work, the STICS crop model is studied for the wheat and the sugar beet and it includes more than 200 parameters. After a previous work based on a large experimental database for calibrate parameters related to the characteristics of the crop, I started my study with a global sensitivity analysis of the observed variables (leaf area index LAI and absorbed nitrogen QN provided by remote sensing data, and yield at harvest provided by yield monitoring) to the soil parameters, in order to determine which of them have to be estimated. This study was made in different climatic and agronomic conditions and it reveals that 7 soil parameters (4 related to the water and 3 related to the nitrogen) have a clearly influence on the variance of the observed variables and have to be therefore estimated. For estimating these 7 soil parameters, I chose a Bayesian data assimilation method (because I have prior information on these parameters) named Importance Sampling by using observations, on wheat and sugar beet crop, of LAI and QN at various dates and yield at harvest acquired on different climatic and agronomic conditions. The quality of parameter estimation is then determined by comparing the result of parameter estimation with only prio rinformation and the result with the posterior information provided by the Bayesian data assimilation method. The result of the parameter estimation show that the whole set of parameter has a better quality of estimation when observations on sugar beet are assimilated. At the same time, global sensitivity analysis of the observed variables to the 7 soil parameters have been performed, allowing me to build a criterion based on sensitivity indices (provided by the global sensitivity analysis) able to rank the parameters with respect to their quality of estimate. This criterion constitutes an interesting tool for determining which parameters it is possible to estimate to reduce probably the uncertainties on the predictions. The prediction of the crop behaviour when estimating the soil parameters is then studied. Indeed, the quality of prediction of agro-environmental variables of the STICS crop model (yield, protein of the grain and nitrogen balance at harvest) is determined by comparing the result of the prediction using the prior information on the parameters and the result using the posterior information. As for the estimation of soil parameters, the prediction of the variable is made on different climatic and agronomic conditions. According to the result of parameter estimation, assimilating observations on sugar beet lead to a better quality ofprediction of the variables than observations on wheat. It was also shown that the number ofcrop seasons observed and the number of observations improve the quality of the prediction
Varella, Hubert-Vincent. "Inversion d'un modèle de culture pour estimer spatialement les propriétés des sols et améliorer la prédiction de variables agro-environnementales". Phd thesis, Université d'Avignon, 2009. http://tel.archives-ouvertes.fr/tel-00626100.
Testo completoCadel, Maëlys. "Relations entre production agricole, services écosystémiques et impacts liés au fonctionnement du sol : Quels effets de systèmes de culture plus autonomes en azote en contexte de changement climatique ?" Electronic Thesis or Diss., Orléans, 2023. http://www.theses.fr/2023ORLE1076.
Testo completoAgricultural soils provide many ecosystem services (ES) to farmers and Society such as green and blue water provision, nutrient provision to crops, water quality regulation, carbon sequestration etc. However, most cropping systems are still intensively managed, based on chemical inputs, with little to no consideration of the possible effects of such practices on the environment and the ability of soils to provide these ES. One issue of agroecological transition is to design more sustainable production systems, with limited use of chemical inputs, that provide and benefit from biodiversity and the ES support of agricultural production. We thus need to improve our knowledge on the spatio-temporal relationships that may exist between management practices, agricultural production, ES and environmental impacts. This manuscript synthesizes the results of a three years INRAE-ANDRA collaboration that aimed at providing key information on soil-crop functioning while facing this challenge. This work was structured into two parts. We first conducted a systematic literature review of the relationships between agricultural production, the ES and the impacts linked to soil functioning, within temperate annual production systems. In order to be able to compare the results of the 40 studies selected, we developed a new ontology of soil-based ES and impacts. This review evidenced mainly non-significant relationships between Biomass production and the ES and impacts investigated suggesting that there is no systematic trade-off between agricultural production and regulating ES. We also identified key relationships that have never been investigated in the studies selected as those between C sequestration and Physical soil quality regulation or Soil biodiversity. Also, an analysis of the effects of drivers of these ES revealed that the three pillars of conservation agriculture, as well as organic fertilization, seem promising practices to provide balanced bundles of ES. We then performed simulation analyses of actual and agroecological cropping systems of the French long-term Environmental Observatory of ANDRA. The objectives were to assess the effects of more N self-sufficient cropping systems, with a climate change mitigation purpose, on the temporal relationships between agricultural production, 5 ES and 3 impacts linked to soil functioning. These cropping systems were designed by implementing three agroecological management practices: a) long cover crops with legume (crimson clover), b) grain legumes (pea) and c) fodder legumes (alfalfa). To assess the performances of these systems, we used the STICS model, that simulates the functioning of the soil-crop system at a daily time-step. Simulations were run over two 20-years time periods: a first one for recent past climate (2000-2021) and a second one for future climate projection using RCP 8.5 (2036-2057). If most of the temporal relationships analysed were non-significant, results highlighted that the use of long cover crops in the rotation provided the highest values of N provision to crops and C sequestration and the lowest values of NO3 lixiviation
Ravelojaona, Nomena. "Evaluation of STICS model performance for long-term simulation of biomass production and nitrogen nutrition of spring barley and timothy cultivated in two important agricultural regions in Quebec (Canada)". Electronic Thesis or Diss., Bordeaux, 2023. http://www.theses.fr/2023BORD0503.
Testo completoSpring barley (Hordeum vulgare L.) and timothy (Phleum pratense L.) are crops of prime economic importance for the province of Quebec and other regions with cold, humid continental climate (North America, Nordic countries, etc.). Soil-crop models are powerful tools for calculating, a wide range of agronomic and environmental variables, since they are designed to simulate the complex interactions between crops, water, and soil nitrogen (N) in the soil–plant–atmosphere continuum. Among other models, STICS is a process-based soil-crop model developed initially for temperate agropedoclimatic conditions. However, it can be adapted to conditions of other agrosystems.The objectives of this thesis were to analyze and extend the scope of application of STICS to these two economically important crops grown under agropedoclimatic conditions in the Province of Quebec, and to evaluate the model's predictive performance on long–term simulations. This thesis is a contribution to the study of the genericity of STICS for Quebec agrosystems. In addition to the climatic context, the originality of this work lies in the crops studied – spring barley and timothy – and the number of successive years of continuous simulations (without annual reinitialization). The predictive performances of STICS were analyzed for aboveground biomass production, N content and N export for i) a 31-year spring barley monoculture grown under two tillage systems and fertilized with two N sources (mineral N and liquid dairy manure); and ii) an 8-year timothy grassland, fertilized each year with four application N rates (0, 60, 120, 180 kg N ha-1). We used databases from two experimental field trials conducted by Agriculture and Agri-Food Canada.For the barley monoculture, the STICS calibration procedure required the adjustment of cultivar parameters in particular, thus confirming the genericity of most plant parameters defined in STICS. There is a good agreement between observed and predicted variables of interest with the various tillage systems and N sources during the 31 successive barley cropping years, but with greater dispersion for the N nutrition. Predictions of crop attributes were more accurate in years with rainfall close to the long-term average. For timothy grassland grown over 8 years, the agreement between observed and predicted values was satisfactory for the first harvest. STICS correctly simulated the positive effect of the N application rates on biomass production and plant N nutrition. Nevertheless, the predicted values were overestimated by the model in the absence of N fertilization. Except for this very specific situation, which is not representative of agronomic practices, STICS performed satisfactorily in the context of the two field experiments studied. In addition, STICS reproduced well decreasing trend in timothy productivity observed with the age of the sward. The results showed that this decrease in yield over time is strongly correlated with the reduction in metabolic reserve in the perennial organs.In conclusion, this thesis work has demonstrated the applicability and reliability of the STICS model for the long-term simulation of biomass production and N nutrition of spring barley and timothy under agropedoclimatic conditions in the Province of Quebec
Demestihas, Constance. "Analyse des conflits et synergies entre services écosystémiques multiples en vergers de pommiers". Thesis, Avignon, 2017. http://www.theses.fr/2017AVIG0690/document.
Testo completoThe concept of « ecosystem service », which has been used increasingly since the publication of the Millennium Ecosystem Assessment in 2005, has highlighted the importance of ecosystem’s non-marketed performances. In orchards, ensuring high productivity while preserving natural resources and human health has become a real challenge that could be analyzed with the concept of ecosystem service. Which ecosystem services are delivered in an apple orchard? How to analyze them? What are the relationships - conflicts or synergies – among multiple ecosystem services and how do cropping systems change multiple ecosystem service profiles? This PhD work aims at answering those questions with an innovative approach combining experimental measures, modeling and statistical analysis.Based on a literature review of ecosystem services in orchards, five services were selected: fruit production, nitrogen availability in soil, climate regulation based on the prevention of nitrogen denitrification and on carbon sequestration, maintenance and regulation of water cycle, including water quality, and pest control. We also considered the environmental disturbances caused by the use of pesticides. For each service, we identified the underlying ecosystem functions as well as the agricultural practices and soil and climate conditions affecting these functions. Services and functions were described by one or multiple indicators and quantified using models in the case of (i) nine existing cropping systems on two experimental sites in southeastern France differing in terms of soil and climate conditions, and (ii) 150 virtual cropping systems designed out of the combination of five major agricultural practice levers and their modalities, in identical soil and climate conditions. The two models used were STICS, a generic soil-crop simulation model under the influence of practices which required a parameterization and an evaluation on apple orchards based on experimental measures, and IPSIM, a generic modeling framework simulating the impacts of agricultural practices and local conditions on crop injuries caused by pests. IPSIM was parameterized on apple orchards, based on an important literature review and expert opinions. Model simulations were analyzed with simple statistics in the case of the nine existing cropping systems and with two-table multivariate analyses (principal component analysis with instrumental variables) for virtual cropping systems.Concerning the existing cropping systems, 14 important relationships were identified among ecosystem services, especially conflicts, like the one between nitrogen denitrification or leaching prevention and soil nitrogen availability on the short term, and synergies such as the one between soil humidity or carbon sequestration and nitrogen availability on the short term. These relationships are explained by the underlying ecosystem functions. Comparing service profiles among cropping systems highlighted the impacts of agricultural practices on some services. That way, on a same site, a high planting density increases fruit production and carbon sequestration. An exclusively organic fertilization decreases fruit production through nitrogen stress but also nitrogen leaching in drained water. Furthermore, service profiles are strongly influenced by the soil and climate conditions of each site. These results strengthen the need to explicitly consider the ‘agricultural practices x soil and climate conditions’ interdependence in order to analyze ecosystem services. The results obtained with the virtual cropping systems simulations confirmed those of the existing ones and gave precision on the impacts of fertilization, irrigation and pest control for codling moth, rosy apple aphid and apple scab on ecosystem functions and services