Site description
This study was conducted in Huanjiang County (24°44′–25°33′N, 107°51′–108°43′E) of Guangxi Zhuang Autonomous Region, southwest China. The detailed climate information was presented elsewhere (Li et al. 2018a). The karst areas are characterized by gentle valleys embraced by hills and the soil is calcareous leptosols (limestone soil) according to the FAO/UNESCO classification system (Anon, 1974).
The experiment adopted a randomized complete block design with four blocks (about 9 km2). With each block, one plot (greater than 400 m2 each) was selected for the fields of MS, mulberry, MB, SG and FG cultivations. The latter three fields were converted from MS cultivation and had been under the same crop management for about 15–20 years. The cropland use types were managed with typical practices of the region. All of the information, i.e., crop species, tillage frequency, harvest frequency, fertilization rate and replanting frequency, have been described as by Li et al. (2018a). In addition, the planted species in the forage grass field was hybrid Napier grass (Pennisetum purpureum Schumach × P. amreicanum (L.) Leeke). This grass is commonly considered as a perennial fodder crop mainly due to its characters, i.e., fast growth rate, drought tolerance, high productivity and protein content. All plots were distributed over the valley or bottom slopes. In total, 16 plots were included with four plots for each of the four cropland use types.
Soil sampling and analysis
Soil samplings were conducted in October 2019. In each plot, after possible litters were removed, we collected four soil profiles (0–30 cm) randomly. Each profile was divided into three horizons, that is, 0–10 cm, 10–20 cm and 20–30 cm. In addition, two pits of 60×60×30 cm were dug to collect samples using metal rings for the measurement of bulk density at three soil layers. The undisturbed soil in the boxes was brought back to the lab and gently divided the soil into two portions for analysis, including (1) one was passed through 2 mm sieve for determining N content of bulk soil and (2) aggregation fractions and their N contents.
Aggregate fractionation
The soil aggregate fractions were determined by dry sieving methods, as described by (Gartzia-Bengoetxea et al. 2009). Briefly, 100 g of air-dried soil samples were taken on a nest of sieves (2 mm, 1 mm, 0.5 mm and 0.25 mm), then agitated for 90 s with a sieve shaker at 600 oscillation min-1. The soil retained on each sieve and in the bottom container was collected under 0.25 mm sieve. The soil aggregates were separated as macro-aggregates (>2mm), meso-aggregates (2–0.25 mm), and micro-aggregates (<0.25 mm). To determine the mass distribution of soil fractions, the sub-sample of soil fractions were oven dried at 105 ℃ and weighted at room temperature. A special aggregate sample and bulk soil was ground to pass through a 100 mesh sieve for the measurement of OC and N contents as described previously (Wen et al. 2016, 2017).
The N stock (Mg hm-2) in bulk soil was calculated using the following equation:
Where D is the thickness (cm) of the soil layer, BD is the bulk density (g cm-3) and N is the content (g kg-1).
The N stock (Mg hm-2) in aggregates fractions was calculated using the following equation:
Where Mi is the amount of soil in the ith size fraction (kg m-2) and Ni is the N content of the ith size fraction (g kg-1). and Wi is the proportion of the ith size fraction in total soil (%). Owing to the coupled relationship between soil C and N (Lan et al. 2020, Zhao et al. 2021), we suggested that soil N changed was similar to soil C following land use change and applied the procedure recommended by Wei et al. (2013) and Zhong et al. (2019) to evaluate the relative contribution of changes in aggregate mass and aggregated-associated N contents to the total changes in N stocks within each aggregate fraction. We assumed that changes in N stock within any particular aggregate fraction were induced both changes in N content of aggregate fraction (F1) and changes in the mass of aggregate fraction (F2). Hence, the F1 and F2 were calculated using the following equations:
Where F1 is the change in N stock (Mg N hm-2) aggregate associated due to the changes in N content aggregate-associated, F2 is the change in N stock within an aggregate fraction due to the changes in the mass of aggregate fractions, M is the initial mass of the aggregate fraction in MS, ΔM is the change in the mass of a particular fraction after cropland conversion, N is the final N content of the aggregate fraction (g kg-1) after conversion, and ΔN is the change in the N content of the aggregate fraction (g kg-1) caused by cropland conversion.
Statistical data analysis
A two-way analysis of variance (ANOVA) was conducted using SPSS 21.0 (SPSS, Inc., Chicago, IL, USA) to test the effects of cropland use types and soil depth on (i) bulk soil N content and stock, (ii) the content and stock of N aggregate-associated and (iii) C:N ratio in bulk soil and associated aggregate fractions. Pearson’s correlation analysis was performed to identify the relationships between N stocks in bulk soil and the proportion of aggregate and its N content and stock. The difference was considered significant if the p value was less than 0.05.