Soil carbon dynamics and crop productivity as influenced by climate change in a rainfed cereal system under contrasting tillage using EPIC

Farina, Roberta; Seddaiu, Giovanna; Orsini, Roberto; Steglich, Evelyn; Roggero, Pier Paolo; Francaviglia, Rosa

doi:10.1016/j.still.2010.11.002

Cited by 80 publications

(47 citation statements)

References 52 publications

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“…Therefore, the input on OM was also low in the presence of manure and there was a high level of OM losses due to high tillage levels. These results are in agreement with Zdruli et al (2004) and Farina et al (2011). In our study, the only two cases with a positive SOM balance were in the Pomonte farms with the presence of livestock and in the Colline Amiatine area when the rotation was longer than three-years.…”

Section: Discussionsupporting

confidence: 94%

“…slope, SOM content, clay content), this would seem to confirm that the management and the tillage intensity strongly influenced SOM dynamics. In fact, the most important factors influencing SOM dynamics were soil management and crop rotation, as reported by Farina et al (2011). West and Post (2002) also found that on average the conversion from deep tillage to conservation tillage (minimum tillage and no-tillage) implied a carbon sequestration of 0.57 t C ha -1 yr -1 .…”

Section: Discussionmentioning

confidence: 83%

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Factors affecting soil organic matter conservation in Mediterranean hillside winter cereals-legumes cropping systems

et al. 2012

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Soil conservation is an important issue for farming and environmental protection in Mediterranean areas. Hillside farming systems, based on winter cereals and legumes, are common in these areas and are the target of several environmental policies. Soil organic matter (SOM) is widely used to assess the environmental performance of these cropping systems. Nevertheless, few studies have considered soil conservation practices in hillside systems in terms of implementing more effective agro-environmental policies for these areas. This paper compares the SOM conservation of different winter cereal based cropping systems within Mediterranean hillside crops/livestock farms. Seventeen cropping systems were characterised by on-farm surveys in the inland hilly area of Grosseto (Tuscany, Italy). For each cropping system, we performed a SOM balance, based on Hénin-Dupuis' equation, using either local environmental databases or data from on-farm surveys. Differences between cropping systems were analysed by the Kruskal-Wallis test. On average, the cropping systems identified did not guarantee SOM conservation and varied considerably from farm to farm, however, some practices seemed to have a positive performance, e.g. cropping systems of cattle farms. According to the literature, annual SOM balance differs significantly depending on crop rotation length and longer crop rotations performed better than shorter ones. However, we found a local effect indicating that this better performance was influenced by local farmers' cooperatives, which to some extent counteracted the negative effect of crop rotation length. There were significant differences in the performance of dairy sheep and cattle farms (-1031 kg ha -1 yr -1 vs +103 kg ha -1 yr -1 , respectively). This suggests that the presence of livestock did not have the same favorable effect on soil conservation in Mediterranean systems and that this factor should be more investigated. Surprisingly, in our sample, for the same crop rotation length, livestock density did not affect the annual SOM balance. Due to the high variability in local cropping systems and soil characteristics, further surveys on a larger farm sample and field soil measurement are needed to confirm these trends and validated the regional soil database. However, our results shed light on the soil conservation effects of Mediterranean hillside cropping systems of winter cereals and legumes, and could support the local implementation of agro-environmental measures.

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Section: Discussionsupporting

confidence: 94%

Section: Discussionmentioning

confidence: 83%

Factors affecting soil organic matter conservation in Mediterranean hillside winter cereals-legumes cropping systems

et al. 2012

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“…Results reported in literature are comparable. Zhang and Nearing (2005), Mo et al (2009), Guo et al (2010, Farina et al (2011) in different region with different simulation model, found a general increase in yields for wheat. Also reducing the length of the growing season would reduce the crop water requirements and that should reduce the water stress under rain-fed conditions.…”

Section: Climate Change and Effect On Productionmentioning

confidence: 90%

“…The issue of soil carbon sequestration is of special interest in Mediterranean areas, (Farina et al, 2011) where soil organic carbon is, in general low, due to climatic condition and agricultural practices. Even if no data for making a calibration of the parameters involved with the evolution of soil organic carbon were available, we show the results of the simulation as a demonstration of the potentiality of the software.…”

Section: Climate Change and Effect On Productionmentioning

confidence: 99%

Long-term durum wheat monoculture: modelling and future projection

Bernardoni

Acutis

Ventrella³

2012

Ital J Agronomy

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The potential effects of future climate change on grain production of a winter durum wheat cropping system were investigated. Based on future climate change projections, derived from a statistical downscaling process applied to the HadCM3 general circulation model and referred to two scenarios (A2 and B1) from the Intergovernmental Panel on Climate Change (IPCC), the response on yield and aboveground biomass (AGB) and the variation in total organic carbon (TOC) were explored. The software used in this work is an hybrid dynamic simulation model able to simulate, under different pedoclimatic conditions, the processes involved in cropping system such as crop growth and development, water and nitrogen balance. It implements different approaches in order to ensure accurate simulation of the main process related to soil-crop-atmosphere continuum.The model was calibrated using soil data, crop yield, AGB and phenology coming from a longterm experiment, located in Apulia region. The calibration was performed using data collected in the period 1978-1990; validation was carried out on the 1991-2009 data. Phenology simulation was sufficiently accurate, showing some limitation only in predicting the physiological maturity. Yields and AGBs were predicted with an acceptable accuracy during both calibration and validation. CRM resulted always close to optimum value, EF in every case scored positive value, the value of index r 2 was good, although in some cases values lower than 0.6 were calculated. Slope of the linear regression equation between measured and simulated values was always close to 1, indicating an overall good performance of the model. Both future climate scenarios led to a general increase in yields but a slightly decrease in AGB values. Data showed variations in the total production and yield among the different periods due to the climate variation. TOC evolution suggests that the combination of temperature and precipitation is the main factor affecting TOC variation under future scenarios. Incorporation of crop residues had a positive effect, in the first 35 cm the amount of carbon increase with both the future scenarios.

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“…Farina et al, [10] applied EPIC model to simulate the interactive effect of climate change, CO 2 enrichment, soil management and two crop rotations on crop yield and SOC (0-100 cm depth). The current study used GCM (general Circulation Model) derived future climatic conditions to study the climate change impact on crop productivity.…”

Section: Literature Surveymentioning

confidence: 99%

An Improved Feature Selection and Classification using Decision Tree for Crop Datasets

Chouhan¹,

Singh²,

Singh³

2016

IJCA

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In this paper a more improved Feature Selection and Classification technique is implanted on Benchmark Datasets such as Mushroom and Soyabean. The Proposed Methodology implemented is based on the Hybrid Combinatorial method of Applying PSO-SVM for the selection of Features from the Dataset and Then Classification is done using Fuzzy Based Decision Tree. Experimental results when performed on Various Datasets prove that the proposed methodology extracts more features as well as provides more accuracy as compared to existing methodologies.

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Soil carbon dynamics and crop productivity as influenced by climate change in a rainfed cereal system under contrasting tillage using EPIC

Cited by 80 publications

References 52 publications

Factors affecting soil organic matter conservation in Mediterranean hillside winter cereals-legumes cropping systems

Factors affecting soil organic matter conservation in Mediterranean hillside winter cereals-legumes cropping systems

Long-term durum wheat monoculture: modelling and future projection

An Improved Feature Selection and Classification using Decision Tree for Crop Datasets

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