Effect of land degradation on soil microbial biomass in a hilly area of south Sumatra, Indonesia

Turgay, Oğuz Can; Lumbanraja, Jamalam; Yusnaini, Sri; Nonaka, Manabu

doi:10.1080/00380768.2002.10409269

Cited by 8 publications

(4 citation statements)

References 26 publications

(29 reference statements)

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“…A general increase in C mic was probably due to the increase in the concentration of oxidisable C and nutrients in burned soils as previously reported (Gómez-Sánchez et al 2019, Giuditta et al 2020; immediate increases have been found in soils after fire (Turgay et al 2002, Dooley & Treseder 2012. Likely because of the relatively late sampling in our study, we did not detect significant changes in the above variables in burned (especially burned and harvested) areas in Month 4 and Month 6.…”

Section: Discussionsupporting

confidence: 80%

Wildfire and harvesting effects on carbon dynamics in an oak-pine mixed forest

Kaptanoğlu¹,

Namlı²

2020

iForest

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Biogeosciences and Forestry Biogeosciences and Forestry Wildfire and harvesting effects on carbon dynamics in an oak-pine mixed forest Aliye Sepken Kaptanoğlu (1) , Ayten Namlı (2) CO2 emission to the atmosphere is the main cause of global warming. The impacts of land-use changes for agriculture and urbanisation, deforestation, and fire disturbance are attributed to the increase in CO2 emissions. Soil respiration, largely due to microbial activity, is one of the CO2 sources being released to the atmosphere. In this regard, several soil parameters related with carbon cycle, including organic matter, total N, C/N ratio, CO2 efflux, microbial biomass C (Cmic), the Cmic/Corg ratio, the metabolic quotient qCO2, and β-D glucosidase activity, were determined in a burned (harvested, H; non-harvested, NH), and its adjacent unburned (UB), mixed oak-pine forest to estimate the effects of burning and removal of residual woods. The Cmic increased gradually with burning and harvesting after Month 9, and sharp increases were observed in all areas, likely due to the abundant rainfall after Month 12. CO2 efflux decreased in the burned areas at Months 4 and 6; however, this reversed in Month 9. In spite of non-significant differences, we detected higher CO2 efflux values in the unburned areas compared to the burned ones, probably as a result of the drought effect observed in the burned areas up to Months 9 and 12 due to the increased soil heat. There was no significant difference between the H and NH burned areas, while both areas were different from the unburned areas in all soil parameters, except CO2 efflux and qCO2. The harvesting effect was not significant compared to the fire effect with regard to the considered soil variables, likely due to the management and protection of the burned area which allowed a fast vegetation recover. The abundance of the microbial biomass was independent of the changes in CO2 efflux and showed a negative correlation with β-D glucosidase activity. This might be related to the variation in substrate quality, microbial composition and abundance after burning and harvesting.

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Section: Discussionsupporting

confidence: 80%

Wildfire and harvesting effects on carbon dynamics in an oak-pine mixed forest

Kaptanoğlu¹,

Namlı²

2020

iForest

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“…Once vegetation coverage is lost, severe soil loss occurs (Tacio 1993) and land and water resources in watersheds degrade gradually (Turgay et al 2002).…”

Section: Environmental Issues In Cidanau Watershedmentioning

confidence: 99%

Guidelines for soil conservation towards integrated basin management for sustainable development: A new approach based on the assessment of soil loss risk using remote sensing and GIS

Yoshino

Ishioka²

2005

Paddy Water Environ

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Soil suspension in the Cidanau River of western Java, Indonesia, has increased recently, perhaps because of rapid environmental change in this watershed region. The objectives of this research are to assess soil loss risk using remote sensing and GIS and to develop effective guidelines for soil conservation in this watershed. To assess soil loss risk, a new soil loss model based on Universal Soil Loss Equation (USLE) was applied, in which C factor (crop management factor) was estimated using the perpendicular vegetation index (PVI); this was computed with satellite remote sensing data and used to simulate soil loss risk. The simulation showed that areas with highest risk of soil loss are on northern-and southern-facing hillsides with poor vegetation. Guidelines for soil conservation in the watershed were proposed: under these guidelines soil-loss risk is managed by evaluating the effectiveness of contour farming, belt farming, and mulch farming. Some recommended measures for soil conservation are as follows: (1) Green vegetation cover should be preserved as much as possible.(2) Vegetation coverage must be increased by forestation in steep sloped areas. (3) Belt farming and contour farming are recommended in areas with slopes under 100%, and mulch farming (more than 50% ground cover mulching is recommended) is desirable in areas with slopes over 100% and without green cover.

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“…Soil fertility of coffee plantations has been assessed by microbial biomass indices (Zhang and Zhang, 2005;Balota et al, 2014;Neto et al, 2014;Notaro et al, 2014;Thomazini et al, 2015) or by the fungal-cell membrane component ergosterol (Turgay et al, 2002). Even though the direct application of coffee byproducts is often recommended, information about the effect on plant growth or on microbial soil fertility indices is scarce (Padilha et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Coffee mucilage impact on young coffee seedlings and soil microorganisms

Castaño

Jannoura

Joergensen

2019

J. Plant Nutr. Soil Sci.

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A greenhouse pot experiment was carried out to assess the effects of fermented coffee mucilage applied as mulch together with maize leaves on the growth of young coffee plants of two different varieties and on soil microbial biomass indices. The coffee variety Catuai required 32% more water per g plant biomass than the variety Yellow Caturra, but had a 49% lower leaf area, 34% less shoot and 46% less root biomass. Maize and mucilage amendments did not affect leaf area, shoot and root yield, or the N concentration in shoot and root dry matter. The amendments always reduced the water use efficiency values, but this reduction was only significant in the maize+mucilage‐14 (= 14 g mucilage pot−1) treatment. Soil pH significantly increased from 4.30 in the control to 4.63 in the maize+mucilage‐14 treatment. Microbial biomass C increased by 18.5 µg g−1 soil, microbial biomass N by 3.1 µg g−1 soil, and ergosterol by 0.21 µg g−1 soil per g mucilage added pot−1. The presence of mucilage significantly reduced the microbial biomass‐C/N ratio from a mean of 13.4 in the control and maize treatments to 9.3, without addition rate and coffee variety effects. The application of non‐composted mucilage is recommended in areas where drought leads to economic losses and in coffee plantations on low fertility soils like Oxisols, where Al toxicity is a major constraint.

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Effect of land degradation on soil microbial biomass in a hilly area of south Sumatra, Indonesia

Cited by 8 publications

References 26 publications

Wildfire and harvesting effects on carbon dynamics in an oak-pine mixed forest

Wildfire and harvesting effects on carbon dynamics in an oak-pine mixed forest

Guidelines for soil conservation towards integrated basin management for sustainable development: A new approach based on the assessment of soil loss risk using remote sensing and GIS

Coffee mucilage impact on young coffee seedlings and soil microorganisms

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