Duval M.E., J.A.
Galantini, J.M. Martinez, F.M. López, L. Wall. 2016. Sensitivity of different
soil quality indicators to assess sustainable land management: Influence of
site features and seasonality. Soil & Tillage Research 159: 9-22.
The turnover rate of labile organic fractions varies
continuously due to different soil uses and managements, weather conditions and
time of sampling. The aim of this study was to quantify the effect of different
agricultural management, season and soil type on soil organic carbon (SOC) and
its different fractions. The study was conducted on four sites located in the
Argentinean Pampas. In each site, three treatments were defined: Good
Agricultural Practices (GAP), Poor Agricultural Practices (PAP) and Natural
Environment (NE). During two consecutive years (2010 and 2011) and at two
different times (February and September) undisturbed soil samples were taken
at0-20 cm depth. Variables assessed included: SOC and its organic fractions:
coarse and fine particulate organic carbon (POCc and POCf, respectively), SOC
associated with a mineral fraction (MOC), total and soluble carbohydrates (CHt
and CHs, respectively), bulk density, and large pores (P>30). Also, indices
associated with soil and management variables were determined. SOC reductions
caused by agricultural practices were mainly from POCc. This fraction
represented 34-52% and 50-74% for PAP and GAP, respectively, of the observed in
NE. The carbon pool index (CPI) shows that agricultural treatments induced
greater variations in all the labile organic fractions compared with SOC and
MOC. In turn, the magnitude of variability was different among fractions, where
temporal fluctuations increased according to the following order MOC< SOC
<POCf≤CHt<CHs ≤ POCc. Independently of the soil type, the CPI was a
sensitive indicator of soil quality in these systems under no-tillage. The
multivariate analysis has proven to be an efficient analytical methodology for
the identification of soil indicators that respond to agricultural practices,
in which chemical properties (POCf and CHt), physical (BD and P>30), and
indices (SOC:clay, structural index and intensification sequence index) were
the variables that best explained the total variance of information of the four
sites. Therefore, these indicators/indices should be included in any minimum
data set for evaluating the agricultural soil quality under no-tillage in the
studied area.
Keywords: Soil organic carbon; Organic
fractions; Multivariate analysis
Galantini, J.A.; M.
Duval; J.M. Martinez; V. Mora; R. Baigorri & J.M. García-Mina. 2016.
Quality and quantity of organic fractions as affected by soil depth in an
argiudoll under till and no-till systems. International Journal of Plant &
Soil Science 10 (5) - doi:10.9734/IJPSS/2016/25205
Keywords: Soil organic carbon; Organic
fractions; Multivariate analysis
Duval M., J.A.
Galantini, Julia E. Capurro, J.M. Martinez, F.M. López. 2016. Use of different winter
cover crops species in soybean monoculture: effects on soil organic carbon and
its fractions. Soil & Tillage Research
161:95-105 doi:10.1016/j.still.2016.04.006
Zalba P., N.M.
Amiotti, J.A. Galantini, S. Pistola. 2016. Soil humic and fulvic acids from
different land use systems evaluated by E4/E6 ratios. Communications in Soil Science
and Plant Analysis 47 (13-14) 1675-1679. Doi 10.1080/00103624.2016.1206558