Abstract:Forest and pasture soils should have differing properties due, for example, to differing root characteristics or livestock trampling rates, but contradictory results have been reported in the literature. The surface soil physical and hydraulic properties of five forest and pasture sites were determined in a Sicilian watershed. In general, forest soils had a significantly lower bulk density, p^ (by 17-35%), and a higher field saturated hydraulic conductivity, Kf( by a factor of 3.4-11.5), than pasture soils. Di… Show more
“…Agnese et al (2011) obtained a good correlation of saturated hydraulic conductivity with soil structure and organic matter content.…”
Section: Introductionmentioning
confidence: 80%
“…According to Horn and Kutilek (2009), Ks is a strength parameter comprising the dynamic aspects of a porous system over time and space, also encompassing the functionality of processes of agricultural and environmental interest (HORN; KUTILEK, 2009;REICHERT et al, 2016). This measure is dependent on properties related to soil porosity, such as bulk, size, morphology, continuity, and pores orientation, being more dependent on structure compared to soil texture (GONÇALVES;LIBARDI, 2013), and considered an indicator of soil physical quality (REICHERT et al, 2009;AGNESE et al, 2011).…”
Field-saturated hydraulic conductivity (Ks) reflects porous system ability to transfer water in the soilplant system. The study aimed to measure Ks through two distinct techniques. One of them was carried out in the laboratory by applying the constant-head cylinder method (CHC) in undisturbed samples, herein referred to as a standard technique. The other consisted of a simplified falling-head technique to measure Ks in situ (SFH), as proposed by Bagarello et al. (2004). We also verified the correlations of the obtained Ks values with other soil physical properties. SFH method is simpler, faster and does not require sophisticated equipment, which can be executed directly in the field. The experiment was conducted in the city of Floresta (PR), Brazil, at Cocamar Technology Diffusion Unit. It consisted of four treatments: maize-crop interrow without recent machine traffic (MI), maize-crop interrow traveled by a harvester (MIT), maize-crop row (MR) and its relative position to brachiaria crop row sown in consortium, and in maize-crop interrow (BR). In each treatment, 10 sampling points were defined (repetitions), where Ks was determined by SFH and an undisturbed sample was taken to measure Ks in the laboratory. Ks values measured by methodological approaches were compared through the following statistical indices, with their respective results: Willmott's concordance index (0.944), maximum error (1.269) and mean absolute error (0.291), square root of normalized mean error (0.45), determination coefficient (0.88), residual mass coefficient (0.07), efficiency coefficient (0.72), performance index (0.80), and Pearson's correlation (0.85). A high agreement was found between the studied techniques, with measured values close to each other. Notably, we must give emphasis on SFH since it had a variation coefficient 1.4 times lower than the standard technique.
“…Agnese et al (2011) obtained a good correlation of saturated hydraulic conductivity with soil structure and organic matter content.…”
Section: Introductionmentioning
confidence: 80%
“…According to Horn and Kutilek (2009), Ks is a strength parameter comprising the dynamic aspects of a porous system over time and space, also encompassing the functionality of processes of agricultural and environmental interest (HORN; KUTILEK, 2009;REICHERT et al, 2016). This measure is dependent on properties related to soil porosity, such as bulk, size, morphology, continuity, and pores orientation, being more dependent on structure compared to soil texture (GONÇALVES;LIBARDI, 2013), and considered an indicator of soil physical quality (REICHERT et al, 2009;AGNESE et al, 2011).…”
Field-saturated hydraulic conductivity (Ks) reflects porous system ability to transfer water in the soilplant system. The study aimed to measure Ks through two distinct techniques. One of them was carried out in the laboratory by applying the constant-head cylinder method (CHC) in undisturbed samples, herein referred to as a standard technique. The other consisted of a simplified falling-head technique to measure Ks in situ (SFH), as proposed by Bagarello et al. (2004). We also verified the correlations of the obtained Ks values with other soil physical properties. SFH method is simpler, faster and does not require sophisticated equipment, which can be executed directly in the field. The experiment was conducted in the city of Floresta (PR), Brazil, at Cocamar Technology Diffusion Unit. It consisted of four treatments: maize-crop interrow without recent machine traffic (MI), maize-crop interrow traveled by a harvester (MIT), maize-crop row (MR) and its relative position to brachiaria crop row sown in consortium, and in maize-crop interrow (BR). In each treatment, 10 sampling points were defined (repetitions), where Ks was determined by SFH and an undisturbed sample was taken to measure Ks in the laboratory. Ks values measured by methodological approaches were compared through the following statistical indices, with their respective results: Willmott's concordance index (0.944), maximum error (1.269) and mean absolute error (0.291), square root of normalized mean error (0.45), determination coefficient (0.88), residual mass coefficient (0.07), efficiency coefficient (0.72), performance index (0.80), and Pearson's correlation (0.85). A high agreement was found between the studied techniques, with measured values close to each other. Notably, we must give emphasis on SFH since it had a variation coefficient 1.4 times lower than the standard technique.
“…In particular, water dynamics is mainly affected by inter-aggregate porosity in non-structured soils, whereas intra-aggregate porosity influences water movements in more structured soils (Li and Zhang 2009;Ouyang et al 2013). The dual pore distribution depends upon the amount of organic material cementing the clay particles (Agnese et al 2011), according to the mechanism proposed by Lehmann et al (2007) already outlined above. According to the aforementioned behaviour, it is expected that the HEMC technique is suitable for the detection of improvement in soil aggregate stability as a consequence of biochar amendment through the measurement of water retention at high matric potential.…”
Section: High Energy Moisture Characteristic (Hemc)mentioning
confidence: 92%
“…In fact, use of organic matter appears to favour soil water retention through increase in soil porosity and in the mean pore size diameter (Rawls et al 2003;Wagner et al 2007; Lehmann et al 2007;Agnese et al 2011).…”
Purpose The aim of the present study was to investigate structure alterations of a sandy-clay soil upon addition of different amounts of biochar (f bc ). Materials and methods All the f bc samples were analyzed by high energy moisture characteristic (HEMC) technique and 1 H nuclear magnetic resonance (NMR) relaxometry. HEMC was applied in order to evaluate aggregate stability of biocharamended soil samples. 1 H NMR relaxometry experiments were conducted for the evaluation of the pore distributions through the investigation of water dynamics of the same samples.Results and discussion The HEMC technique revealed improvement in aggregate stability through measurements of the amount of drainable pores and the stability ratio. The latter increased as the amount of biochar was raised up. The 1 H NMR relaxometry revealed a unimodal T 1 distribution for both the sole sandy-clay soil and the biochar. Conversely, a bimodal T 1 distribution was acquired for all the different f bc samples. Conclusions Improvement in aggregate stability was obtained as biochar was progressively added to the sandy-clay soil. A dual mechanism of water retention has been hypothesized. In particular, intra-aggregate porosity was indicated as the main responsible for molecular water diffusion when f bc comprised between 0 and 0.33. Conversely, inter-aggregate porosity resulted predominant, through swelling processes, when f bc overcame 0.33.
“…The soil characteristics that may change includes soil structure, bulk density, soil organic matter (Hajabbasi et al 1997;Price et al 2010;Agnese et al 2011;Pirastru et al 2013). Land cover change from lowland tropical forests to tree cash crop plantation such as palm oil, rubber, and cacao practising agroforestry also could also decrease soil organic carbon up to 50%, particularly in the top soil (Straaten et al 2015).…”
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