Soil physical quality changes under different management systems after 10 years in the Argentine humid pampa

Costa, José Luís; Aparicio, Virginia; Cerdà, Artemi

doi:10.5194/se-6-361-2015

Cited by 60 publications

(52 citation statements)

References 61 publications

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“…Organic matter that acts as a binding agent and nucleus in the formation of aggregates is the most important component of soil aggregate stability. Therefore, most cultivation techniques aim to optimize the soil organic matter through (zero-)tillage techniques (Costa et al, 2015;Singh et al, 2015), planting of native tree species (Tesfaye et al, 2014), mulching (Mwango et al, 2014), and land use systems (Araya et al, 2010). These activities are not observed in our database but influence the soil organic matter levels at surface and deeper horizons; moreover, the magnitude of variation is also shaped by specific pedogenic processes (Kukal et al, 2014).…”

Section: Resultsmentioning

confidence: 99%

Quantifying the impact of land degradation on crop production: the case of Senegal

2016

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Abstract. Land degradation has been a persistent problem in Senegal for more than a century and by now has become a serious impediment to long-term development. In this paper, we quantify the impact of land degradation on crop yields using the results of a nationwide land degradation assessment. For this, the study needs to address two issues. First, the land degradation assessment comprises qualitative expert judgements that have to be converted into more objective, quantitative terms. We propose a land degradation index and assess its plausibility. Second, observational data on soils, land use, and rainfall do not provide sufficient information to isolate the impact of land degradation. We, therefore, design a pseudo-experiment that for sites with otherwise similar circumstances compares the yield of a site with and one without land degradation. This pairing exercise is conducted under a gradual refining of the classification of circumstances, until a more or less stable response to land degradation is obtained. In this way, we hope to have controlled sufficiently for confounding variables that will bias the estimation of the impact of land degradation on crop yields. A small number of shared characteristics reveal tendencies of "severe" land degradation levels being associated with declining yields as compared to similar sites with "low" degradation levels. However, as we zoom in at more detail some exceptions come to the fore, in particular in areas without fertilizer application. Yet, our overall conclusion is that yield reduction is associated with higher levels of land degradation, irrespective of whether fertilizer is being applied or not.

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Section: Resultsmentioning

confidence: 99%

Quantifying the impact of land degradation on crop production: the case of Senegal

2016

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“…Moreover, the soil system is damaged by millennial use and abuse of soil resources, and the soils are failing to supply humankind with goods and services due to the degradation of soil structure, loss of soil quality, and loss of soil fertility (Dai et al, 2015;Masto et al, 2015;Zhao et al, 2015;Cerda, 1998;Costa et al, 2015). Pollution is one of the triggering factors of soil degradation and it is a worldwide problem Roy and Mcdonald, 2015;Mahmoud and Abd El-Kader, 2015).…”

Section: Introductionmentioning

confidence: 99%

Alleviating aluminum toxicity in an acid sulfate soil from Peninsular Malaysia by calcium silicate application

et al. 2016

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Abstract. In response to human population increase, the utilization of acid sulfate soils for rice cultivation is one option for increasing production. The main problems associated with such soils are their low pH values and their associated high content of exchangeable Al, which could be detrimental to crop growth. The application of soil amendments is one approach for mitigating this problem, and calcium silicate is an alternative soil amendment that could be used. Therefore, the main objective of this study was to ameliorate soil acidity in rice-cropped soil. The secondary objective was to study the effects of calcium silicate amendment on soil acidity, exchangeable Al, exchangeable Ca, and Si content. The soil was treated with 0, 1, 2, and 3 Mg ha −1 of calcium silicate under submerged conditions and the soil treatments were sampled every 30 days throughout an incubation period of 120 days. Application of calcium silicate induced a positive effect on soil pH and exchangeable Al; soil pH increased from 2.9 (initial) to 3.5, while exchangeable Al was reduced from 4.26 (initial) to 0.82 cmol c kg −1 . Furthermore, the exchangeable Ca and Si contents increased from 1.68 (initial) to 4.94 cmol c kg −1 and from 21.21 (initial) to 81.71 mg kg −1 , respectively. Therefore, it was noted that calcium silicate was effective at alleviating Al toxicity in acid sulfate, rice-cropped soil, yielding values below the critical level of 2 cmol c kg −1 . In addition, application of calcium silicate showed an ameliorative effect as it increased soil pH and supplied substantial amounts of Ca and Si.

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“…To determine soil quality, we need a large amount of data that is difficult to obtain due to a lack of measurements, particularly in developing regions, because of their high cost (Masto et al, 2015;Van Leeuwen et al, 2015;Van Hall et al, 2017). The development of easy, accurate and low cost ways to determine soil properties important in the evaluation of soil quality to improve the management of the soil system in areas where data is scarce or non-existent is needed (Costa et al, 2015;Pulido et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Modeling soil cation exchange capacity in multiple countries

Khaledian

Brevik

Pereira

et al. 2017

CATENA

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A B S T R A C TCation exchange capacity (CEC), as an important indicator for soil quality, represents soil's ability to hold positively charged ions. We attempted to predict CEC using different statistical methods including monotone analysis of variance (MONANOVA), artificial neural networks (ANNs), principal components regressions (PCR), and particle swarm optimization (PSO) in order to compare the utility of these approaches and identify the best predictor. We analyzed 170 soil samples from four different nations (USA, Spain, Iran and Iraq) under three land uses (agriculture, pasture, and forest). Seventy percent of the samples (120 samples) were selected as the calibration set and the remaining 50 samples (30%) were used as the prediction set. The results indicated that the MONANOVA (R 2 = 0.82 and Root Mean Squared Error (RMSE) = 6.32) and ANNs (R 2 = 0.82 and RMSE = 5.53) were the best models to estimate CEC, PSO (R 2 = 0.80 and RMSE = 5.54) and PCR (R 2 = 0.70 and RMSE = 6.48) also worked well and the results were very similar to each other. While the most influential variables for the various countries and land uses were different and CEC was affected by different variables in different situations, clay (positively correlated) and sand (negatively correlated) were the most influential variables for predicting CEC for the entire data set. Although the MANOVA and ANNs provided good predictions of the entire dataset, PSO gives a formula to estimate soil CEC using commonly tested soil properties. Therefore, PSO shows promise as a technique to estimate soil CEC. Establishing effective pedotransfer functions to predict CEC would be productive where there are limitations of time and money, and other commonly analyzed soil properties are available.

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Soil physical quality changes under different management systems after 10 years in the Argentine humid pampa

Cited by 60 publications

References 61 publications

Quantifying the impact of land degradation on crop production: the case of Senegal

Quantifying the impact of land degradation on crop production: the case of Senegal

Alleviating aluminum toxicity in an acid sulfate soil from Peninsular Malaysia by calcium silicate application

Modeling soil cation exchange capacity in multiple countries

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