Soil organic carbon stocks in three Canadian agroforestry systems: From surface organic to deeper mineral soils

Lim, Sang-Sun; Baah-Acheamfour, Mark; Choi, Woo‐Jung; Arshad, Muhammad; Fatemi, Farrah R.; Banerjee, Samiran; Carlyle, Cameron N.; Bork, Edward W.; Park, Hyun-Jin; Chang, Scott X.

doi:10.1016/j.foreco.2018.02.050

Cited by 43 publications

(39 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The concentration of TOC was also determined to increase significantly with age of agroforestry adoption. Higher concentration of TOC in soils where agroforestry is practiced has been reported in several studies (Benbi et al, 2015;Bhaduri et al, 2017;Bayala et al, 2018;Lim et al, 2018). Trees have extensive root systems which can grow deep into the mineral soil.…”

Section: Chemical Composition Of the Soilsmentioning

confidence: 82%

“…The current results suggest that the net increase in carbon in the soil was less than the net increase in Nitrogen in the soil after long period of agroforestry practice. Higher concentration of Nitrogen relative to carbon in soils where agroforestry is practiced has been reported in several studies (Benbi et al, 2015;Bhaduri et al, 2017;Bayala et al, 2018;Lim et al, 2018). The accumulation of nitrogen in the soil may be added by leaf litter decomposition in addition to inorganic and organic fertilizers used during cultivation of food crops and therefore it is likely to increase at higher accumulation than nitrogen over a long period of time.…”

Section: Chemical Composition Of the Soilsmentioning

confidence: 86%

See 1 more Smart Citation

Influence of Duration of Agroforestry on Physico-Chemical Soil Quality Parameters in Machakos County, Kenya

2020

JASETD

View full text Add to dashboard Cite

The role of agroforestry in improving soil quality is well appreciated. However, there is debate as to how duration of agroforestry practice affects soil quality especially in the tropical region of Sub Saharan Africa where adoption of the practice is fairly recently. Therefore, objective this study was to investigate the influence of duration of agroforestry on physico-chemical soil quality parameters. The study was conducted using survey research design from a sample of 73 individual farmers, selected using stratified and random sampling. Soils were sampled from adopters and non adopters using soil auger. At least five sub-samples of soils were collected from each of the farmers and the soil mixed to get an integrated soil sample for analysis. The soil were packaged in two-kg khaki papers and taken to the laboratory for further physical attributes (sand, clay, silt and bulk density) and chemical analyses (pH, TN, TP, TOC, C/N and C/P). The exchangeable bases (K, Ca, Mg and Na) as well as micronutrients (Mn, Cu, Fe and Zn) were also analyzed. The results indicated that proportion of sand particles was significantly (P < 0.05) higher among non adopters compared to adopters while silt and bulk density was significantly (P < 0.05) higher among the adopters compared to the non adopters. Sand particle decreased with increasing duration of agroforestry adoption while proportion of silt and bulk density showed a significant increase in tandem to stand duration of agroforestry. The TN, TOC and C/P ratio was significantly (P < 0.05) higher among adopters and increased consistently with age of adoption, while C/N was higher among non adopters and decreased with increasing age of tree stand and duration of agroforestry. The trend in exchangeable bases and mineral contents in the soil were similar where higher concentrations occurred among adopters and displayed an increase with regard to length of adoption of agroforestry. The current study lends support to assertion that duration of agroforestry positively improves soil quality and therefore urges for mass adoption of the agroforestry practice to enhance increased agricultural productivity.

show abstract

Section: Chemical Composition Of the Soilsmentioning

confidence: 82%

Section: Chemical Composition Of the Soilsmentioning

confidence: 86%

Influence of Duration of Agroforestry on Physico-Chemical Soil Quality Parameters in Machakos County, Kenya

2020

JASETD

View full text Add to dashboard Cite

show abstract

“…This indicated that the microbial population structure did not change obviously up to a depth of 20 cm. MBC/MBN of topsoil was lower than sub-topsoil in NPKM, indicating that the proportion of fungi increased from topsoil to sub-topsoil, which is likely to be caused by the difference in aeration conditions and available organic carbon in the soil, and manure caused this difference [65–67].…”

Section: Discussionmentioning

confidence: 99%

Investigation of the spatial heterogeneity of soil microbial biomass carbon and nitrogen under long-term fertilizations in fluvo-aquic soil

Chen

Lin

2019

PLoS ONE

View full text Add to dashboard Cite

Soils are heterogeneous and microbial spatial distribution can clearly indicate the spatial characteristics of the soil carbon and nitrogen cycle. However, it is not clear how long-term fertilization affects the spatial distribution of microbial biomass in fluvo-aquic soil. We collected fluvo-aquic soil samples (topsoil 0–7.5 cm and sub-topsoil 7.5–20 cm) using a spatially-explicit design within three 40.5 m 2 plots in each of four fertilization treatments. Fertilization treatments were: cropping without fertilizer inputs (CK); chemical nitrogen, phosphorus, and potassium fertilizer (NPK); chemical fertilizer with straw return (NPKS); and chemical fertilizer with animal manure (NPKM). Variables included soil microbial biomass carbon (MBC) and nitrogen (MBN), and MBC/MBN. For both soil layers, we hypothesized that: microbial biomass was lowest in CK but with the largest spatial heterogeneity; and microbial biomass was highest in NPKM and NPKS but with the lowest spatial heterogeneity. Results showed that: (1) Fertilization significantly increased MBC and MBN more in topsoil than sub-topsoil but had no MBC/MBN changes. (2) The coefficient of variation (CV) and Cochran's C showed that variation was largest in CK in topsoil and NPK in sub-topsoil and that variation of topsoil was generally lower than in sub-topsoil. The sample size of the three variables was largest in CK in topsoil but had little variation among the other treatments. (3) The trend-surface model showed that within-plot heterogeneity varied substantially with fertilization (NPKM = NPK > NPKS > CK), but Moran’s I and the interpolation map showed that spatial variability with fertilization followed the order NPK > NPKS > CK = NPKM at a fine scale in topsoil. In sub-topsoil, the trend-surface model showed that within-plot heterogeneity followed the order NPKM = CK > NPK > NPKS and that the fine-scale pattern was NPKM>NPK = NPKS>CK. MBC had the highest spatial heterogeneity among the three variables in both soil layers. Our results indicate that the application of organic fertilizer (straw or manure) reduced the variation of MBC and MBN but increased the spatial variability of MBC and MBN. The spatial variation of the three variables was MBC > MBN > MBC/MBN regardless of whether variation was considered at the plot-scale or the fine-scale in both layers.

show abstract

Section: Effects Of Fertilization On Mbc Mbn and Mbc/mbn And Their mentioning

confidence: 97%

Investigation of the spatial heterogeneity of soil microbial biomass carbon and nitrogen under long-term fertilizations in fluvo-aquic soil

2018

Preprint

View full text Add to dashboard Cite

Soils are heterogeneous and microbial spatial distribution can clearly indicate the spatial characteristics of the soil carbon and nitrogen cycle. However, it is not clear how long-term fertilization affects the spatial distribution of microbial biomass in fluvo-aquic soil. We collected fluvo-aquic soil samples (topsoil 0-7.5 cm and sub-topsoil 7.5-20 cm) using a spatially-explicit design within three 40.5 m 2 plots in each of four fertilization treatments. Fertilization treatments were: cropping without fertilizer inputs (CK); chemical nitrogen, phosphorus, and potassium fertilizer (NPK); chemical fertilizer with straw return (NPKS); and chemical fertilizer with animal manure (NPKM). Variables included soil microbial biomass carbon (MBC) and nitrogen (MBN), and MBC/MBN. For both soil layers, we hypothesized that: microbial biomass was lowest in CK but with the largest spatial heterogeneity; and microbial biomass was highest in NPKM and NPKS but with the lowest spatial heterogeneity. Results showed that: (1) Fertilization significantly increased MBC and MBN more in topsoil than sub-topsoil but had no MBC/MBN changes.(2) The coefficient of variation (CV) and Cochran's C showed that variation was largest in CK in topsoil and NPK in sub-topsoil and that variation of topsoil was generally lower than in sub-topsoil. The sample size of the three variables was largest in CK in topsoil but had little variation among the other treatments. (3) The trend-surface model showed that within-plot heterogeneity varied substantially with fertilization (NPKM = NPK > NPKS > CK), but Moran's I and the interpolation map showed that spatial variability with fertilization followed the order NPK > NPKS > CK = NPKM at a fine scale in topsoil. In sub-topsoil, the trend-surface model showed that within-plot heterogeneity followed the order NPKM = CK > NPK > NPKS and that the fine-scale pattern was NPKM>NPK=NPKS>CK.MBC had the highest spatial heterogeneity among the three variables in both soil layers. Our results indicate that the application of organic fertilizer (straw or manure) reduced the variation of MBC and MBN but increased the spatial variability of MBC and MBN. The spatial variation of the three variables was MBC > MBN > MBC/MBN regardless of whether variation was considered at the plot-scale or the fine-scale in both layers.

show abstract

Soil organic carbon stocks in three Canadian agroforestry systems: From surface organic to deeper mineral soils

Cited by 43 publications

References 45 publications

Influence of Duration of Agroforestry on Physico-Chemical Soil Quality Parameters in Machakos County, Kenya

Influence of Duration of Agroforestry on Physico-Chemical Soil Quality Parameters in Machakos County, Kenya

Investigation of the spatial heterogeneity of soil microbial biomass carbon and nitrogen under long-term fertilizations in fluvo-aquic soil

Investigation of the spatial heterogeneity of soil microbial biomass carbon and nitrogen under long-term fertilizations in fluvo-aquic soil

Contact Info

Product

Resources

About