Estimating Soil Carbon, Nitrogen, and Phosphorus Mineralization from Short‐Term Carbon Dioxide Respiration

Haney, Richard L.; Brinton, William F.; Evans, Eric J.

doi:10.1080/00103620802358862

Cited by 100 publications

(75 citation statements)

References 26 publications

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“…Samples were analyzed on a gas chromatograph (Shimadzu GC-2014; Kyoto, Japan) equipped with an automated valve system for routing gas samples to the flame ionization (FID) detector. The data collected at 24 h with this methodology were intended to be comparable to the Solvita 24-h CO 2 burst test (Haney et al, 2008). The microbial metabolic quotient, qCO 2 , was calculated from total carbon mineralized between day 10 and 24 per unit of MBC.…”

Section: Potential Carbon Mineralizationmentioning

confidence: 99%

Climate Change Predicted to Negatively Influence Surface Soil Organic Matter of Dryland Cropping Systems in the Inland Pacific Northwest, USA

2017

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Soil organic matter (SOM) is a key indicator of agricultural productivity and overall soil health. Currently, dryland cropping systems of the inland Pacific Northwest (iPNW) span a large gradient in mean annual temperature (MAT) and precipitation (MAP). These climatic drivers are major determinants of surface SOM dynamics and storage characteristics. Future climate change projections through 2070 indicate significant shifts in MAT and MAP for the iPNW. We assessed surface (0-10 cm) soil organic C and N as well as active and recalcitrant fractions of SOM within long-term experiments representing different tillage regimes and cropping intensities across the current climatic gradient of the iPNW. We discovered that current levels of soil C and N as well as various SOM fractions were positively correlated with MAP and negatively correlated with MAT. Furthermore, these climatic drivers were more influential than either tillage regime or cropping intensity in determining SOM levels and characteristics. Soil organic C and total N as well as the hydrolyzable and non-hydrolyzable fractions were negatively correlated with the current ratio of MAT to MAP, called the climate ratio. Future climate projections (2030 and 2070) forecast an increase of the climate ratio, thus predicting declines in surface SOM and associated soil health across the iPNW.

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Section: Potential Carbon Mineralizationmentioning

confidence: 99%

Climate Change Predicted to Negatively Influence Surface Soil Organic Matter of Dryland Cropping Systems in the Inland Pacific Northwest, USA

2017

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“…Suplai C dari pupuk organik meningkatkan populasi dan aktivitas mikrob sehingga senyawa CO 2 yang dilepaskan dari proses respirasi mikrob juga meningkat. Data ini selaras dengan hasil penelitian Haney, Brinton, & Evans (2008) yang melaporkan bahwa penambahan pupuk kandang antara 0-35,68 ton ha -1 dalam jangka pendek menghasilkan jumlah CO 2 yang meningkat secara linear. Dikemukakan juga bahwa hasil uji korelasi (a) (b) Gambar 3.…”

Section: Respirasi Mikrobunclassified

Pengaruh Pupuk Organik dan Arang Hayati terhadap Kualitas Media Pembibitan dan Pertumbuhan Bibit Kakao

Sasmita

Anas

Anwar

et al. 2017

J. tanam. industri dan penyegar

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ABSTRAKPemanfaatan tanah masam Ultisol untuk media pembibitan kakao dihadapkan pada kendala rendahnya tingkat kesuburan. Oleh karena itu, perlu penambahan amelioran agar kualitas kimia, fisika, dan biologi tanah menjadi lebih baik. Tujuan penelitian adalah mengkaji pengaruh pupuk organik kulit buah kakao dan arang hayati terhadap sifat kimia dan biologi tanah media pembibitan dan dampaknya terhadap pertumbuhan bibit kakao.

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“…One-day CO 2 evolution was determined using the Solvita Gel System (Haney et al, 2008). The Solvita Gel System quantifies the relative differences in CO 2 respiration after drying and rewetting using a pHsensitive gel paddle and digital color reader that incorporates diode array detection technology that selects the intensity of red, blue and green emission.…”

Section: Methodsmentioning

confidence: 99%

“…Capillary action is the natural movement of water using adhesion (attraction to solids) and cohesion forces (attraction between water molecules) and is counterbalanced by the effects of gravity and air pockets. Haney et al (2008) indicate that microbial activity studies that involve D/R soils use gravimetric water content, soil matric potential, or percentage of Water-Filled Pore Space (WFPS) to achieve sufficient moisture content for peak microbial activity. Furthermore, Haney et al (2008) indicate that a range of 30 to 70% WFPS is sufficient for peak microbial activity, which represents roughly 50% of field capacity (Haney et al, 2004).…”

Section: Model Theorymentioning

confidence: 99%

“…Haney et al (2008) indicate that microbial activity studies that involve D/R soils use gravimetric water content, soil matric potential, or percentage of Water-Filled Pore Space (WFPS) to achieve sufficient moisture content for peak microbial activity. Furthermore, Haney et al (2008) indicate that a range of 30 to 70% WFPS is sufficient for peak microbial activity, which represents roughly 50% of field capacity (Haney et al, 2004). We used a value of 25% after calibrating the simulations with known fertilizer to known yield values from our study area.…”

Section: Model Theorymentioning

confidence: 99%

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Spatial Analysis and Modeling the Nitrogen Flush after Rainfall Events at the Field Scale in SWAT

Haney¹,

Haney²,

Arnold³

et al. 2016

American Journal of Environmental Sciences

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Current nitrogen (N) models tend to neglect the contribution of the microbial population to the plant available N pool, resulting in an underestimation of yield and possible over or underestimation of N runoff from natural and agricultural landscapes. We used the measurement of microbial activity coupled with the measurement of their food source, water extractable nitrogen (N) and carbon (C), to add a flush of N after rainfall events in the Soil Water Assessment Tool (SWAT). Soil test data and spatial analysis of N mineralization values were used to: (1) Quantify spatial variation of water extractable organic and inorganic N, soil inorganic N and microbial activity; (2) develop a field scale model to determine N mineralization using updated soil testing methods for integration into the SWAT model; and (3) predict wheat yield. Simulation results indicate that yearly yield values and the variability of these yield values were consistently greater from the modified N model than from the SWAT model, as would be expected with the addition of N mineralization resulting from microbial activity. The spatial variability in yield results increased with the modified N model as compared to the SWAT model. The yield data resulting from the modified N model simulation were sensitive to soil nutrient values as well as variations in elevation. Temporal and climatic variability is accounted for by including a precipitation trigger for N mineralization. The equations used to model the complex biogeochemical N cycling relationships are elegant in their simplicity, yet capture the spatial complexity associated with their processes. The modified N model may be useful to regulators to help with the simulation of new conservation practices that include the effect of lower fertilizer inputs on nutrient runoff and pollution.

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Estimating Soil Carbon, Nitrogen, and Phosphorus Mineralization from Short‐Term Carbon Dioxide Respiration

Cited by 100 publications

References 26 publications

Climate Change Predicted to Negatively Influence Surface Soil Organic Matter of Dryland Cropping Systems in the Inland Pacific Northwest, USA

Climate Change Predicted to Negatively Influence Surface Soil Organic Matter of Dryland Cropping Systems in the Inland Pacific Northwest, USA

Pengaruh Pupuk Organik dan Arang Hayati terhadap Kualitas Media Pembibitan dan Pertumbuhan Bibit Kakao

Spatial Analysis and Modeling the Nitrogen Flush after Rainfall Events at the Field Scale in SWAT

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